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	<title>CiteULike: oamg's fmri</title>
	<description>CiteULike: oamg's fmri</description>


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<item rdf:about="http://www.citeulike.org/user/oamg/article/1856179">
    <title>Functional Interactions during the Retrieval of Conceptual Action Knowledge: An fMRI Study</title>
    <link>http://www.citeulike.org/user/oamg/article/1856179</link>
    <description>&lt;i&gt;J. Cogn. Neurosci., Vol. 19, No. 6. (1 June 2007), pp. 1004-1012.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Impaired retrieval of conceptual knowledge for actions has been associated with lesions of left premotor, left parietal, and left middle temporal areas [Tranel, D., Kemmerer, D., Adolphs, R., Damasio, H., &#38; Damasio, A. R. Neural correlates of conceptual knowledge for actions. Cognitive Neuropsychology, 409-432, 2003]. Here we aimed at characterizing the differential contribution of these areas to the retrieval of conceptual knowledge about actions. During functional magnetic resonance imaging (fMRI), different categories of pictograms (whole-body actions, manipulable and nonmanipulable objects) were presented to healthy subjects. fMRI data were analyzed using SPM2. A conjunction analysis of the neural activations elicited by all pictograms revealed (p &#60; .05, corrected) a bilateral inferior occipito-temporal neural network with strong activations in the right and left fusiform gyri. Action pictograms contrasted to object pictograms showed differential activation of area MT+, the inferior and superior parietal cortex, and the premotor cortex bilaterally. An analysis of psycho-physiological interactions identified contribution-dependent changes in the neural responses when pictograms triggered the retrieval of conceptual action knowledge: Processing of action pictograms specifically enhanced the neural interaction between the right and left fusiform gyri, the right and left middle temporal cortices (MT+), and the left superior and inferior parietal cortex. These results complement and extend previous neuropsychological and neuroimaging studies by showing that knowledge about action concepts results from an increased coupling between areas concerned with semantic processing (fusiform gyrus), movement perception (MT+), and temporo-spatial movement control (left parietal cortex).</description>
    <dc:title>Functional Interactions during the Retrieval of Conceptual Action Knowledge: An fMRI Study</dc:title>

    <dc:creator>Ann Assmus</dc:creator>
    <dc:creator>Carsten Giessing</dc:creator>
    <dc:creator>Peter Weiss</dc:creator>
    <dc:creator>Gereon Fink</dc:creator>
    <dc:source>J. Cogn. Neurosci., Vol. 19, No. 6. (1 June 2007), pp. 1004-1012.</dc:source>
    <dc:date>2007-11-02T12:54:34-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J. Cogn. Neurosci.</prism:publicationName>
    <prism:volume>19</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>1004</prism:startingPage>
    <prism:endingPage>1012</prism:endingPage>
    <prism:category>cev</prism:category>
    <prism:category>concepts</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>objects</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1806496">
    <title>Human striatal activation reflects degree of stimulus saliency</title>
    <link>http://www.citeulike.org/user/oamg/article/1806496</link>
    <description>&lt;i&gt;NeuroImage, Vol. 29, No. 3. (1 February 2006), pp. 977-983.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Salient stimuli are characterized by their capability to perturb and seize available cognitive resources. Although the striatum and its dopaminergic inputs respond to a variety of stimuli categorically defined as salient, including rewards, the relationship between striatal activity and saliency is not well understood. Specifically, it is unclear if the striatum responds in an all-or-none fashion to salient events or instead responds in a graded fashion to the degree of saliency associated with an event. Using functional magnetic resonance imaging, we measured activity in the brains of 20 participants performing a visual classification task in which they identified single digits as odd or even numbers. An auditory tone preceded each number, which was occasionally, and unexpectedly, substituted by a novel sound. The novel sounds varied in their ability to interrupt and reallocate cognitive resources (i.e., their saliency) as measured by a delay in reaction time to immediately subsequent numerical task-stimuli. The present findings demonstrate that striatal activity increases proportionally to the degree to which an unexpected novel sound interferes with the current cognitive focus, even in the absence of reward. These results suggest that activity in the human striatum reflects the level of saliency associated with a stimulus, perhaps providing a signal to reallocate limited resources to important events.</description>
    <dc:title>Human striatal activation reflects degree of stimulus saliency</dc:title>

    <dc:creator>Caroline Zink</dc:creator>
    <dc:creator>Giuseppe Pagnoni</dc:creator>
    <dc:creator>Jonathan Chappelow</dc:creator>
    <dc:creator>Megan Martin-Skurski</dc:creator>
    <dc:creator>Gregory Berns</dc:creator>
    <dc:identifier>doi:10.1016/j.neuroimage.2005.08.006</dc:identifier>
    <dc:source>NeuroImage, Vol. 29, No. 3. (1 February 2006), pp. 977-983.</dc:source>
    <dc:date>2007-10-22T13:51:49-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>NeuroImage</prism:publicationName>
    <prism:volume>29</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>977</prism:startingPage>
    <prism:endingPage>983</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>human</prism:category>
    <prism:category>saliency</prism:category>
    <prism:category>stimuli</prism:category>
    <prism:category>striatum</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1751905">
    <title>The Hemo-Neural Hypothesis: On The Role of Blood Flow in Information Processing.</title>
    <link>http://www.citeulike.org/user/oamg/article/1751905</link>
    <description>&lt;i&gt;J Neurophysiol (3 October 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Brain vasculature is a complex and interconnected network under tight regulatory control that exists in intimate communication with neurons and glia. Typically, hemodynamics are considered to exclusively serve as a metabolic support system. In contrast to this canonical view, we propose that hemodynamics also play a role in information processing through modulation of neural activity. Functional hyperemia, the basis of the fMRI BOLD signal, is a localized influx of blood correlated with neural activity levels. Functional hyperemia is considered by many to be excessive from a metabolic standpoint, but may be appropriate if interpreted as having an activity-dependent neuro-modulatory function. Hemodynamics may impact neural activity through direct and indirect mechanisms. Direct mechanisms include delivery of diffusible blood-borne messengers, and mechanical and thermal modulation of neural activity. Indirect mechanisms are proposed to act through hemodynamic modulation of astrocytes, which can in turn regulate neural activity. These hemo-neural mechanisms should alter the information processing capacity of active local neural networks. Here, we focus on analysis of neocortical sensory processing. We predict that hemodynamics alter the gain of local cortical circuits, modulating the detection and discrimination of sensory stimuli. This novel view of information processing, that includes hemodynamics as an active and significant participant, has implications for understanding neural representation and the construction of accurate brain models. There are also potential medical benefits of an improved understanding of the role of hemodynamics in neural processing, as it directly bears on interpretation of and potential treatment for stroke, dementia and epilepsy.</description>
    <dc:title>The Hemo-Neural Hypothesis: On The Role of Blood Flow in Information Processing.</dc:title>

    <dc:creator>Christopher Irwin Moore</dc:creator>
    <dc:creator>Rosa Cao</dc:creator>
    <dc:identifier>doi:10.1152/jn.01366.2006</dc:identifier>
    <dc:source>J Neurophysiol (3 October 2007)</dc:source>
    <dc:date>2007-10-10T19:18:05-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:category>fmri</prism:category>
    <prism:category>hemo-neural_hypothesis</prism:category>
    <prism:category>information_processing</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1428650">
    <title>The Neural Basis of Love as a Subliminal Prime: An Event-related Functional Magnetic Resonance Imaging Study</title>
    <link>http://www.citeulike.org/user/oamg/article/1428650</link>
    <description>&lt;i&gt;J. Cogn. Neurosci., Vol. 19, No. 7. (1 July 2007), pp. 1218-1230.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Throughout the ages, love has been defined as a motivated and goal-directed mechanism with explicit and implicit mechanisms. Recent evidence demonstrated that the explicit representation of love recruits subcorticocortical pathways mediating reward, emotion, and motivation systems. However, the neural basis of the implicit (unconscious) representation of love remains unknown. To assess this question, we combined event-related functional magnetic resonance imaging (fMRI) with a behavioral subliminal priming paradigm embedded in a lexical decision task. In this task, the name of either a beloved partner, a neutral friend, or a passionate hobby was subliminally presented before a target stimulus (word, nonword, or blank), and participants were required to decide if the target was a word or not. Behavioral results showed that subliminal presentation of either a beloved's name (love prime) or a passion descriptor (passion prime) enhanced reaction times in a similar fashion. Subliminal presentation of a friend's name (friend prime) did not show any beneficial effects. Functional results showed that subliminal priming with a beloved's name (as opposed to either a friend's name or a passion descriptor) specifically recruited brain areas involved in abstract representations of others and the self, in addition to motivation circuits shared with other sources of passion. More precisely, love primes recruited the fusiform and angular gyri. Our findings suggest that love, as a subliminal prime, involves a specific neural network that surpasses a dopaminergic-motivation system.</description>
    <dc:title>The Neural Basis of Love as a Subliminal Prime: An Event-related Functional Magnetic Resonance Imaging Study</dc:title>

    <dc:creator>S Ortigue</dc:creator>
    <dc:creator>F Bianchi-Demicheli</dc:creator>
    <dc:creator>Hamilton</dc:creator>
    <dc:creator>ST Grafton</dc:creator>
    <dc:source>J. Cogn. Neurosci., Vol. 19, No. 7. (1 July 2007), pp. 1218-1230.</dc:source>
    <dc:date>2007-07-02T12:50:44-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J. Cogn. Neurosci.</prism:publicationName>
    <prism:volume>19</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>1218</prism:startingPage>
    <prism:endingPage>1230</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>dartmouth_crew</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>love</prism:category>
    <prism:category>priming</prism:category>
    <prism:category>subliminal</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1399009">
    <title>Neuronal correlates of theory of mind and empathy: a functional magnetic resonance imaging study in a nonverbal task.</title>
    <link>http://www.citeulike.org/user/oamg/article/1399009</link>
    <description>&lt;i&gt;Neuroimage, Vol. 29, No. 1. (1 January 2006), pp. 90-98.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Theory of Mind (ToM), the ability to attribute mental states to others, and empathy, the ability to infer emotional experiences, are important processes in social cognition. Brain imaging studies in healthy subjects have described a brain system involving medial prefrontal cortex, superior temporal sulcus and temporal pole in ToM processing. Studies investigating networks associated with empathic responding also suggest involvement of temporal and frontal lobe regions. In this fMRI study, we used a cartoon task derived from Sarfati et al. (1997) [Sarfati, Y., Hardy-Bayle, M.C., Besche, C., Widlocher, D. 1997. Attribution of intentions to others in people with schizophrenia: a non-verbal exploration with comic strips. Schizophrenia Research 25, 199-209.]with both ToM and empathy stimuli in order to allow comparison of brain activations in these two processes. Results of 13 right-handed, healthy, male volunteers were included. Functional images were acquired using a 1.5 T Phillips Gyroscan. Our results confirmed that ToM and empathy stimuli are associated with overlapping but distinct neuronal networks. Common areas of activation included the medial prefrontal cortex, temporoparietal junction and temporal poles. Compared to the empathy condition, ToM stimuli revealed increased activations in lateral orbitofrontal cortex, middle frontal gyrus, cuneus and superior temporal gyrus. Empathy, on the other hand, was associated with enhanced activations of paracingulate, anterior and posterior cingulate and amygdala. We therefore suggest that ToM and empathy both rely on networks associated with making inferences about mental states of others. However, empathic responding requires the additional recruitment of networks involved in emotional processing. These results have implications for our understanding of disorders characterized by impairments of social cognition, such as autism and psychopathy.</description>
    <dc:title>Neuronal correlates of theory of mind and empathy: a functional magnetic resonance imaging study in a nonverbal task.</dc:title>

    <dc:creator>BA Völlm</dc:creator>
    <dc:creator>AN Taylor</dc:creator>
    <dc:creator>P Richardson</dc:creator>
    <dc:creator>R Corcoran</dc:creator>
    <dc:creator>J Stirling</dc:creator>
    <dc:creator>S McKie</dc:creator>
    <dc:creator>JF Deakin</dc:creator>
    <dc:creator>R Elliott</dc:creator>
    <dc:identifier>doi:10.1016/j.neuroimage.2005.07.022</dc:identifier>
    <dc:source>Neuroimage, Vol. 29, No. 1. (1 January 2006), pp. 90-98.</dc:source>
    <dc:date>2007-06-19T17:33:02-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Neuroimage</prism:publicationName>
    <prism:issn>1053-8119</prism:issn>
    <prism:volume>29</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>90</prism:startingPage>
    <prism:endingPage>98</prism:endingPage>
    <prism:category>empathy</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>theory_of_mind</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/790690">
    <title>Serotonin transporter genetic variation and the response of the human amygdala.</title>
    <link>http://www.citeulike.org/user/oamg/article/790690</link>
    <description>&lt;i&gt;Science, Vol. 297, No. 5580. (19 July 2002), pp. 400-403.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;A functional polymorphism in the promoter region of the human serotonin transporter gene (SLC6A4) has been associated with several dimensions of neuroticism and psychopathology, especially anxiety traits, but the predictive value of this genotype against these complex behaviors has been inconsistent. Serotonin [5- hydroxytryptamine, (5-HT)] function influences normal fear as well as pathological anxiety, behaviors critically dependent on the amygdala in animal models and in clinical studies. We now report that individuals with one or two copies of the short allele of the serotonin transporter (5-HTT) promoter polymorphism, which has been associated with reduced 5-HTT expression and function and increased fear and anxiety-related behaviors, exhibit greater amygdala neuronal activity, as assessed by BOLD functional magnetic resonance imaging, in response to fearful stimuli compared with individuals homozygous for the long allele. These results demonstrate genetically driven variation in the response of brain regions underlying human emotional behavior and suggest that differential excitability of the amygdala to emotional stimuli may contribute to the increased fear and anxiety typically associated with the short SLC6A4 allele.</description>
    <dc:title>Serotonin transporter genetic variation and the response of the human amygdala.</dc:title>

    <dc:creator>AR Hariri</dc:creator>
    <dc:creator>VS Mattay</dc:creator>
    <dc:creator>A Tessitore</dc:creator>
    <dc:creator>B Kolachana</dc:creator>
    <dc:creator>F Fera</dc:creator>
    <dc:creator>D Goldman</dc:creator>
    <dc:creator>MF Egan</dc:creator>
    <dc:creator>DR Weinberger</dc:creator>
    <dc:identifier>doi:10.1126/science.1071829</dc:identifier>
    <dc:source>Science, Vol. 297, No. 5580. (19 July 2002), pp. 400-403.</dc:source>
    <dc:date>2006-08-09T09:39:05-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:issn>1095-9203</prism:issn>
    <prism:volume>297</prism:volume>
    <prism:number>5580</prism:number>
    <prism:startingPage>400</prism:startingPage>
    <prism:endingPage>403</prism:endingPage>
    <prism:category>amygdala</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>genotype</prism:category>
    <prism:category>imaging_genomics</prism:category>
    <prism:category>serotonin</prism:category>
    <prism:category>serotonin_polymorphism</prism:category>
    <prism:category>serotonin_transporter</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1319011">
    <title>How the Brain Translates Money into Force: A Neuroimaging Study of Subliminal Motivation</title>
    <link>http://www.citeulike.org/user/oamg/article/1319011</link>
    <description>&lt;i&gt;Science, Vol. 316, No. 5826. (11 May 2007), pp. 904-906.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Unconscious motivation in humans is often inferred but rarely demonstrated empirically. We imaged motivational processes, implemented in a paradigm that varied the amount and reportability of monetary rewards for which subjects exerted physical effort. We show that, even when subjects cannot report how much money is at stake, they nevertheless deploy more force for higher amounts. Such a motivational effect is underpinned by engagement of a specific basal forebrain region. Our findings thus reveal this region as a key node in brain circuitry that enables expected rewards to energize behavior, without the need for the subjects`awareness. 10.1126/science.1140459</description>
    <dc:title>How the Brain Translates Money into Force: A Neuroimaging Study of Subliminal Motivation</dc:title>

    <dc:creator>Mathias Pessiglione</dc:creator>
    <dc:creator>Liane Schmidt</dc:creator>
    <dc:creator>Bogdan Draganski</dc:creator>
    <dc:creator>Raffael Kalisch</dc:creator>
    <dc:creator>Hakwan Lau</dc:creator>
    <dc:creator>Ray Dolan</dc:creator>
    <dc:creator>Chris Frith</dc:creator>
    <dc:identifier>doi:10.1126/science.1140459</dc:identifier>
    <dc:source>Science, Vol. 316, No. 5826. (11 May 2007), pp. 904-906.</dc:source>
    <dc:date>2007-05-22T08:39:27-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:volume>316</prism:volume>
    <prism:number>5826</prism:number>
    <prism:startingPage>904</prism:startingPage>
    <prism:endingPage>906</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>neuroeconomics</prism:category>
    <prism:category>subliminal_motivation</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1373046">
    <title>The mirror neuron system is more active during complementary compared with imitative action</title>
    <link>http://www.citeulike.org/user/oamg/article/1373046</link>
    <description>&lt;i&gt;Nature Neuroscience (2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We assessed the role of the human mirror neuron system (MNS) in complementary actions using functional magnetic resonance imaging while participants prepared to execute imitative or complementary actions. The BOLD signal in the right inferior frontal gyrus and bilateral inferior parietal lobes was greater during preparation of complementary than during imitative actions, suggesting that the MNS may be essential in dynamically coupling action observation to action execution.</description>
    <dc:title>The mirror neuron system is more active during complementary compared with imitative action</dc:title>

    <dc:creator>Rd Newman-Norlund</dc:creator>
    <dc:creator>Ht van Schie</dc:creator>
    <dc:creator>Amj van Zuijlen</dc:creator>
    <dc:creator>H Bekkering</dc:creator>
    <dc:source>Nature Neuroscience (2007)</dc:source>
    <dc:date>2007-06-08T15:28:12-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Nature Neuroscience</prism:publicationName>
    <prism:category>dartmouth_crew</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>mirror_neuron_system</prism:category>
    <prism:category>observational_learning</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1355922">
    <title>Characterizing the neural mechanisms of skill learning and repetition priming: evidence from mirror reading.</title>
    <link>http://www.citeulike.org/user/oamg/article/1355922</link>
    <description>&lt;i&gt;Brain, Vol. 124, No. Pt 1. (January 2001), pp. 67-82.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The changes in brain activity related to skill learning and repetition priming in a mirror-reading task were examined using functional MRI. Subjects exhibited significant learning across five training sessions and this learning generalized significantly to different spatial transformations (inverted-mirror reversed text and normal letters spelled backwards). Mirror reading, compared with reading normal text, was associated with extensive activation in occipital, temporal, parietal and frontal regions. Learning to read mirror-reversed (MR) text was associated with increased activation in left inferior temporal, striatal, left inferior prefrontal and right cerebellar regions and with decreased activity in the left hippocampus and left cerebellum. Short-term repetition priming was associated with reduced activity in many of the regions active during mirror reading and extensive item-specific practice (long-term repetition priming) resulted in a virtual elimination of activity in those regions. Short- and long-term repetition priming thus appeared to rely upon common neural mechanisms. Nearly all of the regions exhibiting significant learning-related changes also exhibited increased repetition priming effects, suggesting common neural substrates for priming and skill learning in this task. Comparison of MR items with other spatially transformed typographies showed that the learning-related changes were general to all of the spatial transformations. The results confirm the importance of striatofrontal neural networks for the acquisition of skills, and suggest that skill learning and repetition priming may have common substrates within a particular task.</description>
    <dc:title>Characterizing the neural mechanisms of skill learning and repetition priming: evidence from mirror reading.</dc:title>

    <dc:creator>RA Poldrack</dc:creator>
    <dc:creator>JD Gabrieli</dc:creator>
    <dc:source>Brain, Vol. 124, No. Pt 1. (January 2001), pp. 67-82.</dc:source>
    <dc:date>2007-06-01T16:20:07-00:00</dc:date>
    <prism:publicationYear>2001</prism:publicationYear>
    <prism:publicationName>Brain</prism:publicationName>
    <prism:issn>0006-8950</prism:issn>
    <prism:volume>124</prism:volume>
    <prism:number>Pt 1</prism:number>
    <prism:startingPage>67</prism:startingPage>
    <prism:endingPage>82</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>repetition_priming</prism:category>
    <prism:category>skill_learning</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1355842">
    <title>How do memory systems interact? Evidence from human classification learning.</title>
    <link>http://www.citeulike.org/user/oamg/article/1355842</link>
    <description>&lt;i&gt;Neurobiol Learn Mem, Vol. 82, No. 3. (November 2004), pp. 324-332.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Studies of human classification learning using functional neuroimaging have suggested that basal ganglia and medial temporal lobe memory systems may interact during learning. We review these results and outline a set of possible mechanisms for such interactions. Effective connectivity analyses suggest that interaction between basal ganglia and medial temporal lobe are mediated by prefrontal cortex rather than by direct connectivity between regions. A review of possible neurobiological mechanisms suggests that interactions may be driven by neuromodulatory systems in addition to mediation by interaction of inputs to prefrontal cortical neurons. These results suggest that memory system interactions may reflect multiple mechanisms that combine to optimize behavior based on experience.</description>
    <dc:title>How do memory systems interact? Evidence from human classification learning.</dc:title>

    <dc:creator>RA Poldrack</dc:creator>
    <dc:creator>P Rodriguez</dc:creator>
    <dc:identifier>doi:10.1016/j.nlm.2004.05.003</dc:identifier>
    <dc:source>Neurobiol Learn Mem, Vol. 82, No. 3. (November 2004), pp. 324-332.</dc:source>
    <dc:date>2007-06-01T15:50:28-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Neurobiol Learn Mem</prism:publicationName>
    <prism:issn>1074-7427</prism:issn>
    <prism:volume>82</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>324</prism:startingPage>
    <prism:endingPage>332</prism:endingPage>
    <prism:category>basal_ganglia</prism:category>
    <prism:category>classification</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>medial_temporal_lobe</prism:category>
    <prism:category>memory</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/494233">
    <title>Can cognitive processes be inferred from neuroimaging data?</title>
    <link>http://www.citeulike.org/user/oamg/article/494233</link>
    <description>&lt;i&gt;Trends in Cognitive Sciences, Vol. 10, No. 2. (February 2006), pp. 59-63.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;There is much interest currently in using functional neuroimaging techniques to understand better the nature of cognition. One particular practice that has become common is 'reverse inference', by which the engagement of a particular cognitive process is inferred from the activation of a particular brain region. Such inferences are not deductively valid, but can still provide some information. Using a Bayesian analysis of the BrainMap neuroimaging database, I characterize the amount of additional evidence in favor of the engagement of a cognitive process that can be offered by a reverse inference. Its usefulness is particularly limited by the selectivity of activation in the region of interest. I argue that cognitive neuroscientists should be circumspect in the use of reverse inference, particularly when selectivity of the region in question cannot be established or is known to be weak.</description>
    <dc:title>Can cognitive processes be inferred from neuroimaging data?</dc:title>

    <dc:creator>Russell Poldrack</dc:creator>
    <dc:identifier>doi:10.1016/j.tics.2005.12.004</dc:identifier>
    <dc:source>Trends in Cognitive Sciences, Vol. 10, No. 2. (February 2006), pp. 59-63.</dc:source>
    <dc:date>2006-02-06T15:07:53-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Trends in Cognitive Sciences</prism:publicationName>
    <prism:volume>10</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>59</prism:startingPage>
    <prism:endingPage>63</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>fmri_interpretation</prism:category>
    <prism:category>fmri_methods</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1355797">
    <title>Triangulating a cognitive control network using diffusion-weighted magnetic resonance imaging (MRI) and functional MRI.</title>
    <link>http://www.citeulike.org/user/oamg/article/1355797</link>
    <description>&lt;i&gt;J Neurosci, Vol. 27, No. 14. (4 April 2007), pp. 3743-3752.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The ability to stop motor responses depends critically on the right inferior frontal cortex (IFC) and also engages a midbrain region consistent with the subthalamic nucleus (STN). Here we used diffusion-weighted imaging (DWI) tractography to show that the IFC and the STN region are connected via a white matter tract, which could underlie a &#34;hyperdirect&#34; pathway for basal ganglia control. Using a novel method of &#34;triangulation&#34; analysis of tractography data, we also found that both the IFC and the STN region are connected with the presupplementary motor area (preSMA). We hypothesized that the preSMA could play a conflict detection/resolution role within a network between the preSMA, the IFC, and the STN region. A second experiment tested this idea with functional magnetic resonance imaging (fMRI) using a conditional stop-signal paradigm, enabling examination of behavioral and neural signatures of conflict-induced slowing. The preSMA, IFC, and STN region were significantly activated the greater the conflict-induced slowing. Activation corresponded strongly with spatial foci predicted by the DWI tract analysis, as well as with foci activated by complete response inhibition. The results illustrate how tractography can reveal connections that are verifiable with fMRI. The results also demonstrate a three-way functional-anatomical network in the right hemisphere that could either brake or completely stop responses.</description>
    <dc:title>Triangulating a cognitive control network using diffusion-weighted magnetic resonance imaging (MRI) and functional MRI.</dc:title>

    <dc:creator>AR Aron</dc:creator>
    <dc:creator>TE Behrens</dc:creator>
    <dc:creator>S Smith</dc:creator>
    <dc:creator>MJ Frank</dc:creator>
    <dc:creator>RA Poldrack</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.0519-07.2007</dc:identifier>
    <dc:source>J Neurosci, Vol. 27, No. 14. (4 April 2007), pp. 3743-3752.</dc:source>
    <dc:date>2007-06-01T15:36:11-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J Neurosci</prism:publicationName>
    <prism:issn>1529-2401</prism:issn>
    <prism:volume>27</prism:volume>
    <prism:number>14</prism:number>
    <prism:startingPage>3743</prism:startingPage>
    <prism:endingPage>3752</prism:endingPage>
    <prism:category>cognitive_control_network</prism:category>
    <prism:category>diffusion-weighted_imaging</prism:category>
    <prism:category>fmri</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1284003">
    <title>Facial-expression and gaze-selective responses in the monkey amygdala.</title>
    <link>http://www.citeulike.org/user/oamg/article/1284003</link>
    <description>&lt;i&gt;Curr Biol, Vol. 17, No. 9. (1 May 2007), pp. 766-772.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The social behavior of both human and nonhuman primates relies on specializations for the recognition of individuals, their facial expressions, and their direction of gaze [1-5]. A broad network of cortical and subcortical structures has been implicated in face processing, yet it is unclear whether co-occurring dimensions of face stimuli, such as expression and direction of gaze, are processed jointly or independently by anatomically and functionally segregated neural structures. Awake macaques were presented with a set of monkey faces displaying aggressive, neutral, and appeasing expressions with head and eyes either averted or directed. BOLD responses to these faces as compared to Fourier-phase-scrambled images revealed widespread activation of the superior temporal sulcus and inferotemporal cortex and included activity in the amygdala. The different dimensions of the face stimuli elicited distinct activation patterns among the amygdaloid nuclei. The basolateral amygdala, including the lateral, basal, and accessory basal nuclei, produced a stronger response for threatening than appeasing expressions. The central nucleus and bed nucleus of the stria terminalis responded more to averted than directed-gaze faces. Independent behavioral measures confirmed that faces with averted gaze were more arousing, suggesting the activity in the central nucleus may be related to attention and arousal.</description>
    <dc:title>Facial-expression and gaze-selective responses in the monkey amygdala.</dc:title>

    <dc:creator>KL Hoffman</dc:creator>
    <dc:creator>KM Gothard</dc:creator>
    <dc:creator>MC Schmid</dc:creator>
    <dc:creator>NK Logothetis</dc:creator>
    <dc:identifier>doi:10.1016/j.cub.2007.03.040</dc:identifier>
    <dc:source>Curr Biol, Vol. 17, No. 9. (1 May 2007), pp. 766-772.</dc:source>
    <dc:date>2007-05-08T17:06:20-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Curr Biol</prism:publicationName>
    <prism:issn>0960-9822</prism:issn>
    <prism:volume>17</prism:volume>
    <prism:number>9</prism:number>
    <prism:startingPage>766</prism:startingPage>
    <prism:endingPage>772</prism:endingPage>
    <prism:category>amygdala</prism:category>
    <prism:category>face</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>gaze</prism:category>
    <prism:category>monkey</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1338640">
    <title>Spatial specificity of BOLD versus cerebral blood volume fMRI for mapping cortical organization</title>
    <link>http://www.citeulike.org/user/oamg/article/1338640</link>
    <description>&lt;i&gt;J Cereb Blood Flow Metab, Vol. 27, No. 6. (10 January 2007), pp. 1248-1261.&lt;/i&gt;</description>
    <dc:title>Spatial specificity of BOLD versus cerebral blood volume fMRI for mapping cortical organization</dc:title>

    <dc:creator>Stelios Smirnakis</dc:creator>
    <dc:creator>Michael Schmid</dc:creator>
    <dc:creator>Bruno Weber</dc:creator>
    <dc:creator>Andreas Tolias</dc:creator>
    <dc:creator>Mark Augath</dc:creator>
    <dc:creator>Nikos Logothetis</dc:creator>
    <dc:identifier>doi:10.1038/sj.jcbfm.9600434</dc:identifier>
    <dc:source>J Cereb Blood Flow Metab, Vol. 27, No. 6. (10 January 2007), pp. 1248-1261.</dc:source>
    <dc:date>2007-05-28T13:47:29-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J Cereb Blood Flow Metab</prism:publicationName>
    <prism:volume>27</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>1248</prism:startingPage>
    <prism:endingPage>1261</prism:endingPage>
    <prism:category>bold</prism:category>
    <prism:category>cerebral_blood_volume</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>fmri_methods</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1325557">
    <title>Dissociable Neural Responses in Human Reward Systems</title>
    <link>http://www.citeulike.org/user/oamg/article/1325557</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 20, No. 16. (15 August 2000), pp. 6159-6165.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Reward is one of the most important influences shaping behavior. Single-unit recording and lesion studies in experimental animals have implicated a number of regions in response to reinforcing stimuli, in particular regions of the extended limbic system and the ventral striatum. In this experiment, functional neuroimaging was used to assess neural response within human reward systems under different psychological contexts. Nine healthy volunteers were scanned using functional magnetic resonance imaging during the performance of a gambling task with financial rewards and penalties. We demonstrated neural sensitivity of midbrain and ventral striatal regions to financial rewards and hippocampal sensitivity to financial penalties. Furthermore, we show that neural responses in globus pallidus, thalamus, and subgenual cingulate were specific to high reward levels occurring in the context of increasing reward. Responses to both reward level in the context of increasing reward and penalty level in the context of increasing penalty were seen in caudate, insula, and ventral prefrontal cortex. These results demonstrate dissociable neural responses to rewards and penalties that are dependent on the psychological context in which they are experienced.</description>
    <dc:title>Dissociable Neural Responses in Human Reward Systems</dc:title>

    <dc:creator>Rebecca Elliott</dc:creator>
    <dc:creator>Karl Friston</dc:creator>
    <dc:creator>Raymond Dolan</dc:creator>
    <dc:source>J. Neurosci., Vol. 20, No. 16. (15 August 2000), pp. 6159-6165.</dc:source>
    <dc:date>2007-05-24T17:50:00-00:00</dc:date>
    <prism:publicationYear>2000</prism:publicationYear>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>20</prism:volume>
    <prism:number>16</prism:number>
    <prism:startingPage>6159</prism:startingPage>
    <prism:endingPage>6165</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>globus_pallidus</prism:category>
    <prism:category>hippocampus</prism:category>
    <prism:category>penalties</prism:category>
    <prism:category>rewards</prism:category>
    <prism:category>striatum</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1325552">
    <title>Dissociating prefrontal and hippocampal function in episodic memory encoding</title>
    <link>http://www.citeulike.org/user/oamg/article/1325552</link>
    <description>&lt;i&gt;Nature, Vol. 388, No. 6642. (1997), pp. 582-585.&lt;/i&gt;</description>
    <dc:title>Dissociating prefrontal and hippocampal function in episodic memory encoding</dc:title>

    <dc:creator>RJ Dolan</dc:creator>
    <dc:creator>PC Fletcher</dc:creator>
    <dc:source>Nature, Vol. 388, No. 6642. (1997), pp. 582-585.</dc:source>
    <dc:date>2007-05-24T17:47:46-00:00</dc:date>
    <prism:publicationYear>1997</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:volume>388</prism:volume>
    <prism:number>6642</prism:number>
    <prism:startingPage>582</prism:startingPage>
    <prism:endingPage>585</prism:endingPage>
    <prism:category>episodic_memory</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>hippocampal</prism:category>
    <prism:category>human</prism:category>
    <prism:category>memory</prism:category>
    <prism:category>prefrontal</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1325549">
    <title>Other minds in the brain: a functional imaging study of &#34;theory of mind&#34; in story comprehension.</title>
    <link>http://www.citeulike.org/user/oamg/article/1325549</link>
    <description>&lt;i&gt;Cognition, Vol. 57, No. 2. (November 1995), pp. 109-128.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The ability of normal children and adults to attribute independent mental states to self and others in order to explain and predict behaviour (&#34;theory of mind&#34;) has been a focus of much recent research. Autism is a biologically based disorder which appears to be characterised by a specific impairment in this &#34;mentalising&#34; process. The present paper reports a functional neuroimaging study with positron emission tomography in which we studied brain activity in normal volunteers while they performed story comprehension tasks necessitating the attribution of mental states. The resultant brain activity was compared with that measured in two control tasks: &#34;physical&#34; stories which did not require this mental attribution, and passages of unlinked sentences. Both story conditions, when compared to the unlinked sentences, showed significantly increased regional cerebral blood flow in the following regions: the temporal poles bilaterally, the left superior temporal gyrus and the posterior cingulate cortex. Comparison of the &#34;theory of mind&#34; stories with &#34;physical&#34; stores revealed a specific pattern of activation associated with mental state attribution: it was only this task which produced activation in the medial frontal gyrus on the left (Brodmann's area 8). This comparison also showed significant activation in the posterior cingulate cortex. These surprisingly clear-cut findings are discussed in relation to previous studies of brain activation during story comprehension. The localisation of brain regions involved in normal attribution of mental states and contextual problem solving is feasible and may have implication for the neural basis of autism.</description>
    <dc:title>Other minds in the brain: a functional imaging study of &#34;theory of mind&#34; in story comprehension.</dc:title>

    <dc:creator>PC Fletcher</dc:creator>
    <dc:creator>F Happé</dc:creator>
    <dc:creator>U Frith</dc:creator>
    <dc:creator>SC Baker</dc:creator>
    <dc:creator>RJ Dolan</dc:creator>
    <dc:creator>RS Frackowiak</dc:creator>
    <dc:creator>CD Frith</dc:creator>
    <dc:source>Cognition, Vol. 57, No. 2. (November 1995), pp. 109-128.</dc:source>
    <dc:date>2007-05-24T17:46:02-00:00</dc:date>
    <prism:publicationYear>1995</prism:publicationYear>
    <prism:publicationName>Cognition</prism:publicationName>
    <prism:issn>0010-0277</prism:issn>
    <prism:volume>57</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>109</prism:startingPage>
    <prism:endingPage>128</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>theory_of_mind</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1325548">
    <title>Anatomical Segregation of Component Processes in an Inductive Inference Task</title>
    <link>http://www.citeulike.org/user/oamg/article/1325548</link>
    <description>&lt;i&gt;J. Cogn. Neurosci., Vol. 12, No. 1. (1 January 2000), pp. 110-119.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Inductive inference underlies much of human cognition. The essential component of induction is hypothesis selection based on some criterion of relevance. The purpose of this study was to determine the neural substrate of inductive inference, particularly hypothesis selection, using fMRI. Ten volunteers were shown stimuli consisting of novel animals under two task conditions, and asked to judge whether all the animals in the set were the same type of animal. In one condition, subjects were given a rule that specified the criteria for &#34;same type of animal&#34;. In the other condition, subjects had to infer the rule without instruction. The two conditions were further factored into easy and difficult components. Rule inference was specifically associated with bilateral hippocampal activation while the task by difficulty interaction was associated with activation in right lateral orbital prefrontal cortex. We interpret the former in terms of semantic encoding of novel stimuli and the latter in terms of hypothesis selection. Thus, we show an anatomical dissociation between task implementation and task difficulty that may correspond to a critical psychological distinction in the processes necessary for inductive inference.</description>
    <dc:title>Anatomical Segregation of Component Processes in an Inductive Inference Task</dc:title>

    <dc:creator>Vinod Goel</dc:creator>
    <dc:creator>Raymond Dolan</dc:creator>
    <dc:source>J. Cogn. Neurosci., Vol. 12, No. 1. (1 January 2000), pp. 110-119.</dc:source>
    <dc:date>2007-05-24T17:45:06-00:00</dc:date>
    <prism:publicationYear>2000</prism:publicationYear>
    <prism:publicationName>J. Cogn. Neurosci.</prism:publicationName>
    <prism:volume>12</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>110</prism:startingPage>
    <prism:endingPage>119</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>human</prism:category>
    <prism:category>inference</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1322799">
    <title>Time Discounting for Primary Rewards</title>
    <link>http://www.citeulike.org/user/oamg/article/1322799</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 27, No. 21. (23 May 2007), pp. 5796-5804.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Previous research, involving monetary rewards, found that limbic reward-related areas show greater activity when an intertemporal choice includes an immediate reward than when the options include only delayed rewards. In contrast, the lateral prefrontal and parietal cortex (areas commonly associated with deliberative cognitive processes, including future planning) respond to intertemporal choices in general but do not exhibit sensitivity to immediacy (McClure et al., 2004). The current experiments extend these findings to primary rewards (fruit juice or water) and time delays of minutes instead of weeks. Thirsty subjects choose between small volumes of drinks delivered at precise times during the experiment (e.g., 2 ml now vs 3 ml in 5 min). Consistent with previous findings, limbic activation was greater for choices between an immediate reward and a delayed reward than for choices between two delayed rewards, whereas the lateral prefrontal cortex and posterior parietal cortex responded similarly whether choices were between an immediate and a delayed reward or between two delayed rewards. Moreover, relative activation of the two sets of brain regions predicts actual choice behavior. A second experiment finds that when the delivery of all rewards is offset by 10 min (so that the earliest available juice reward in any choice is 10 min), no differential activity is observed in limbic reward-related areas for choices involving the earliest versus only more delayed rewards. We discuss implications of this finding for differences between primary and secondary rewards. 10.1523/JNEUROSCI.4246-06.2007</description>
    <dc:title>Time Discounting for Primary Rewards</dc:title>

    <dc:creator>Samuel Mcclure</dc:creator>
    <dc:creator>Keith Ericson</dc:creator>
    <dc:creator>David Laibson</dc:creator>
    <dc:creator>George Loewenstein</dc:creator>
    <dc:creator>Jonathan Cohen</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.4246-06.2007</dc:identifier>
    <dc:source>J. Neurosci., Vol. 27, No. 21. (23 May 2007), pp. 5796-5804.</dc:source>
    <dc:date>2007-05-23T18:23:55-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>27</prism:volume>
    <prism:number>21</prism:number>
    <prism:startingPage>5796</prism:startingPage>
    <prism:endingPage>5804</prism:endingPage>
    <prism:category>choicebehavior</prism:category>
    <prism:category>decision_making</prism:category>
    <prism:category>discounting</prism:category>
    <prism:category>economics</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>human</prism:category>
    <prism:category>incentives</prism:category>
    <prism:category>neuroeconomics</prism:category>
    <prism:category>temporal_discounting</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1300589">
    <title>Genetic Variations of the NR3A Subunit of the NMDA Receptor Modulate Prefrontal Cerebral Activity in Humans</title>
    <link>http://www.citeulike.org/user/oamg/article/1300589</link>
    <description>&lt;i&gt;J. Cogn. Neurosci., Vol. 19, No. 1. (1 January 2007), pp. 59-68.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Introduction: Recently, a novel N-methyl-D-aspartate (NMDA) receptor subunit, NR3A, has been discovered in the brain. This subunit decreases NMDA receptor activity by modulating the calcium permeability of the receptor channel and current density in cortical cells. Because the NR3A is expressed in the human prefrontal cortex, we hypothesized that genetic variations of the NR3A subunit modulate prefrontal activation. Methods: Electromagnetic activity during selective attention (auditory oddball task with target processing) was measured in 281 healthy subjects. Genotyping of a missense variation (rs10989591, Val362Met) of the NR3A gene was performed. Results: Individuals carrying Val/Val genotype showed significantly reduced frontal P300 amplitudes compared with Met/Met subjects. Subsequent low-resolution electromagnetic source analysis revealed that this group difference is likely caused by reduced activation in the inferior frontal gyrus. Conclusions: It was shown for the first time that the genetic constitution of the subunit composition of NMDA receptor regulation might be relevant for prefrontal information processing in humans. The results underline the pivotal role of glutamate in frontal lobe function and indicate that the NR3A subunit could be a plausible candidate gene for diseases with prefrontal dysfunctions.</description>
    <dc:title>Genetic Variations of the NR3A Subunit of the NMDA Receptor Modulate Prefrontal Cerebral Activity in Humans</dc:title>

    <dc:creator>Jurgen Gallinat</dc:creator>
    <dc:creator>Thomas Gotz</dc:creator>
    <dc:creator>Peter Kalus</dc:creator>
    <dc:creator>Malek Bajbouj</dc:creator>
    <dc:creator>Thomas Sander</dc:creator>
    <dc:creator>Georg Winterer</dc:creator>
    <dc:source>J. Cogn. Neurosci., Vol. 19, No. 1. (1 January 2007), pp. 59-68.</dc:source>
    <dc:date>2007-05-16T17:34:12-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J. Cogn. Neurosci.</prism:publicationName>
    <prism:volume>19</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>59</prism:startingPage>
    <prism:endingPage>68</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>genotype</prism:category>
    <prism:category>nmda_nr3a</prism:category>
    <prism:category>phenotype</prism:category>
    <prism:category>prefrontal</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1300576">
    <title>The Human Striatum is Necessary for Responding to Changes in Stimulus Relevance</title>
    <link>http://www.citeulike.org/user/oamg/article/1300576</link>
    <description>&lt;i&gt;J. Cogn. Neurosci., Vol. 18, No. 12. (1 December 2006), pp. 1973-1983.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Various lines of evidence suggest that the striatum is implicated in cognitive flexibility. The neuropsychological evidence has, for the most part, been based on research with patients with Parkinson's disease, which is accompanied by chemical disruption of both the striatum and the prefrontal cortex. The present study examined this issue by testing patients with focal lesions of the striatum on a task measuring two forms of cognitive switching. Patients with striatal, but not frontal lobe lesions, were impaired in switching between concrete sensory stimuli. By contrast, both patient groups were unimpaired when switching between abstract task rules relative to baseline nonswitch trials. These results reveal a dissociation between two distinct forms of cognitive flexibility, providing converging evidence for a role of the striatum in flexible control functions associated with the selection of behaviorally relevant stimuli.</description>
    <dc:title>The Human Striatum is Necessary for Responding to Changes in Stimulus Relevance</dc:title>

    <dc:creator>R Cools</dc:creator>
    <dc:creator>RB Ivry</dc:creator>
    <dc:creator>M D'Esposito</dc:creator>
    <dc:source>J. Cogn. Neurosci., Vol. 18, No. 12. (1 December 2006), pp. 1973-1983.</dc:source>
    <dc:date>2007-05-16T17:26:58-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>J. Cogn. Neurosci.</prism:publicationName>
    <prism:volume>18</prism:volume>
    <prism:number>12</prism:number>
    <prism:startingPage>1973</prism:startingPage>
    <prism:endingPage>1983</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>learning</prism:category>
    <prism:category>reward_prediction_error</prism:category>
    <prism:category>stimulus_relevance</prism:category>
    <prism:category>striatum</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1300415">
    <title>The Neural Substrate of Human Empathy: Effects of Perspective-taking and Cognitive Appraisal</title>
    <link>http://www.citeulike.org/user/oamg/article/1300415</link>
    <description>&lt;i&gt;J. Cogn. Neurosci., Vol. 19, No. 1. (1 January 2007), pp. 42-58.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Whether observation of distress in others leads to empathic concern and altruistic motivation, or to personal distress and egoistic motivation, seems to depend upon the capacity for self-other differentiation and cognitive appraisal. In this experiment, behavioral measures and event-related functional magnetic resonance imaging were used to investigate the effects of perspective-taking and cognitive appraisal while participants observed the facial expression of pain resulting from medical treatment. Video clips showing the faces of patients were presented either with the instruction to imagine the feelings of the patient (&#34;imagine other&#34;) or to imagine oneself to be in the patient's situation (&#34;imagine self&#34;). Cognitive appraisal was manipulated by providing information that the medical treatment had or had not been successful. Behavioral measures demonstrated that perspective-taking and treatment effectiveness instructions affected participants' affective responses to the observed pain. Hemodynamic changes were detected in the insular cortices, anterior medial cingulate cortex (aMCC), amygdala, and in visual areas including the fusiform gyrus. Graded responses related to the perspective-taking instructions were observed in middle insula, aMCC, medial and lateral premotor areas, and selectively in left and right parietal cortices. Treatment effectiveness resulted in signal changes in the perigenual anterior cingulate cortex, in the ventromedial orbito-frontal cortex, in the right lateral middle frontal gyrus, and in the cerebellum. These findings support the view that humans' responses to the pain of others can be modulated by cognitive and motivational processes, which influence whether observing a conspecific in need of help will result in empathic concern, an important instigator for helping behavior.</description>
    <dc:title>The Neural Substrate of Human Empathy: Effects of Perspective-taking and Cognitive Appraisal</dc:title>

    <dc:creator>Claus Lamm</dc:creator>
    <dc:creator>Daniel Batson</dc:creator>
    <dc:creator>Jean Decety</dc:creator>
    <dc:source>J. Cogn. Neurosci., Vol. 19, No. 1. (1 January 2007), pp. 42-58.</dc:source>
    <dc:date>2007-05-16T15:45:39-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J. Cogn. Neurosci.</prism:publicationName>
    <prism:volume>19</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>42</prism:startingPage>
    <prism:endingPage>58</prism:endingPage>
    <prism:category>empathy</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>perspective_taking</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/470226">
    <title>Empathic neural responses are modulated by the perceived fairness of others</title>
    <link>http://www.citeulike.org/user/oamg/article/470226</link>
    <description>&lt;i&gt;Nature (18 January 2006)&lt;/i&gt;</description>
    <dc:title>Empathic neural responses are modulated by the perceived fairness of others</dc:title>

    <dc:creator>Tania Singer</dc:creator>
    <dc:creator>Ben Seymour</dc:creator>
    <dc:creator>John O'Doherty</dc:creator>
    <dc:creator>Klaas Stephan</dc:creator>
    <dc:creator>Raymond Dolan</dc:creator>
    <dc:creator>Chris Frith</dc:creator>
    <dc:identifier>doi:10.1038/nature04271</dc:identifier>
    <dc:source>Nature (18 January 2006)</dc:source>
    <dc:date>2006-01-19T04:33:00-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>disgust</prism:category>
    <prism:category>empathy</prism:category>
    <prism:category>fairness</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>mirror_neurons</prism:category>
    <prism:category>pain</prism:category>
    <prism:category>revenge</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/991889">
    <title>Empathy for pain involves the affective but not sensory components of pain.</title>
    <link>http://www.citeulike.org/user/oamg/article/991889</link>
    <description>&lt;i&gt;Science, Vol. 303, No. 5661. (20 February 2004), pp. 1157-1162.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Our ability to have an experience of another's pain is characteristic of empathy. Using functional imaging, we assessed brain activity while volunteers experienced a painful stimulus and compared it to that elicited when they observed a signal indicating that their loved one--present in the same room--was receiving a similar pain stimulus. Bilateral anterior insula (AI), rostral anterior cingulate cortex (ACC), brainstem, and cerebellum were activated when subjects received pain and also by a signal that a loved one experienced pain. AI and ACC activation correlated with individual empathy scores. Activity in the posterior insula/secondary somatosensory cortex, the sensorimotor cortex (SI/MI), and the caudal ACC was specific to receiving pain. Thus, a neural response in AI and rostral ACC, activated in common for &#34;self&#34; and &#34;other&#34; conditions, suggests that the neural substrate for empathic experience does not involve the entire &#34;pain matrix.&#34; We conclude that only that part of the pain network associated with its affective qualities, but not its sensory qualities, mediates empathy.</description>
    <dc:title>Empathy for pain involves the affective but not sensory components of pain.</dc:title>

    <dc:creator>T Singer</dc:creator>
    <dc:creator>B Seymour</dc:creator>
    <dc:creator>J O'Doherty</dc:creator>
    <dc:creator>H Kaube</dc:creator>
    <dc:creator>RJ Dolan</dc:creator>
    <dc:creator>CD Frith</dc:creator>
    <dc:identifier>doi:10.1126/science.1093535</dc:identifier>
    <dc:source>Science, Vol. 303, No. 5661. (20 February 2004), pp. 1157-1162.</dc:source>
    <dc:date>2006-12-13T07:36:41-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:issn>1095-9203</prism:issn>
    <prism:volume>303</prism:volume>
    <prism:number>5661</prism:number>
    <prism:startingPage>1157</prism:startingPage>
    <prism:endingPage>1162</prism:endingPage>
    <prism:category>empathy</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>mirror_neurons</prism:category>
    <prism:category>pain</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1269346">
    <title>Placebo-induced changes in FMRI in the anticipation and experience of pain.</title>
    <link>http://www.citeulike.org/user/oamg/article/1269346</link>
    <description>&lt;i&gt;Science, Vol. 303, No. 5661. (20 February 2004), pp. 1162-1167.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The experience of pain arises from both physiological and psychological factors, including one's beliefs and expectations. Thus, placebo treatments that have no intrinsic pharmacological effects may produce analgesia by altering expectations. However, controversy exists regarding whether placebos alter sensory pain transmission, pain affect, or simply produce compliance with the suggestions of investigators. In two functional magnetic resonance imaging (fMRI) experiments, we found that placebo analgesia was related to decreased brain activity in pain-sensitive brain regions, including the thalamus, insula, and anterior cingulate cortex, and was associated with increased activity during anticipation of pain in the prefrontal cortex, providing evidence that placebos alter the experience of pain.</description>
    <dc:title>Placebo-induced changes in FMRI in the anticipation and experience of pain.</dc:title>

    <dc:creator>TD Wager</dc:creator>
    <dc:creator>JK Rilling</dc:creator>
    <dc:creator>EE Smith</dc:creator>
    <dc:creator>A Sokolik</dc:creator>
    <dc:creator>KL Casey</dc:creator>
    <dc:creator>RJ Davidson</dc:creator>
    <dc:creator>SM Kosslyn</dc:creator>
    <dc:creator>RM Rose</dc:creator>
    <dc:creator>JD Cohen</dc:creator>
    <dc:identifier>doi:10.1126/science.1093065</dc:identifier>
    <dc:source>Science, Vol. 303, No. 5661. (20 February 2004), pp. 1162-1167.</dc:source>
    <dc:date>2007-04-30T23:48:28-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:issn>1095-9203</prism:issn>
    <prism:volume>303</prism:volume>
    <prism:number>5661</prism:number>
    <prism:startingPage>1162</prism:startingPage>
    <prism:endingPage>1167</prism:endingPage>
    <prism:category>anticipation</prism:category>
    <prism:category>empathy</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>placebo</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/853214">
    <title>Characterizing the hemodynamic response: effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing.</title>
    <link>http://www.citeulike.org/user/oamg/article/853214</link>
    <description>&lt;i&gt;Neuroimage, Vol. 11, No. 6 Pt 1. (June 2000), pp. 735-759.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Rapid-presentation event-related functional MRI (ER-fMRI) allows neuroimaging methods based on hemodynamics to employ behavioral task paradigms typical of cognitive settings. However, the sluggishness of the hemodynamic response and its variance provide constraints on how ER-fMRI can be applied. In a series of two studies, estimates of the hemodynamic response in or near the primary visual and motor cortices were compared across various paradigms and sampling procedures to determine the limits of ER-fMRI procedures and, more generally, to describe the behavior of the hemodynamic response. The temporal profile of the hemodynamic response was estimated across overlapping events by solving a set of linear equations within the general linear model. No assumptions about the shape were made in solving the equations. Following estimation of the temporal profile, the amplitude and timing were modeled using a gamma function. Results indicated that (1) within a region, for a given subject, estimation of the hemodynamic response is extremely stable for both amplitude (r(2) = 0.98) and time to peak (r(2) = 0.95), from one series of measurements to the next, and slightly less stable for estimation of time to onset (r(2) = 0.60). (2) As the trial presentation rate changed (from those spaced 20 s apart to temporally overlapping trials), the hemodynamic response amplitude showed a small, but significant, decrease. Trial onsets spaced (on average) 5 s apart showed a 17-25% reduction in amplitude compared to those spaced 20 s apart. Power analysis indicated that the increased number of trials at fast rates outweighs this decrease in amplitude if statistically reliable response detection is the goal. (3) Knowledge of the amplitude and timing of the hemodynamic response in one region failed to predict those properties in another region, even for within-subject comparisons. (4) Across subjects, the amplitude of the response showed no significant correlation with timing of the response, for either time-to-onset or time-to-peak estimates. (5) The within-region stability of the response was sufficient to allow offsets in the timing of the response to be detected that were under a second, placing event-related fMRI methods in a position to answer questions about the change in relative timing between regions.</description>
    <dc:title>Characterizing the hemodynamic response: effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing.</dc:title>

    <dc:creator>FM Miezin</dc:creator>
    <dc:creator>L Maccotta</dc:creator>
    <dc:creator>JM Ollinger</dc:creator>
    <dc:creator>SE Petersen</dc:creator>
    <dc:creator>RL Buckner</dc:creator>
    <dc:identifier>doi:10.1006/nimg.2000.0568</dc:identifier>
    <dc:source>Neuroimage, Vol. 11, No. 6 Pt 1. (June 2000), pp. 735-759.</dc:source>
    <dc:date>2006-09-21T15:51:08-00:00</dc:date>
    <prism:publicationYear>2000</prism:publicationYear>
    <prism:publicationName>Neuroimage</prism:publicationName>
    <prism:issn>1053-8119</prism:issn>
    <prism:volume>11</prism:volume>
    <prism:number>6 Pt 1</prism:number>
    <prism:startingPage>735</prism:startingPage>
    <prism:endingPage>759</prism:endingPage>
    <prism:category>event-related</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>hemodynamic_response</prism:category>
    <prism:category>refractory_period</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1240022">
    <title>Tracking the hemodynamic responses to reward and punishment in the striatum.</title>
    <link>http://www.citeulike.org/user/oamg/article/1240022</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 84, No. 6. (December 2000), pp. 3072-3077.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Research suggests that the basal ganglia complex is a major component of the neural circuitry that mediates reward-related processing. However, human studies have not yet characterized the response of the basal ganglia to an isolated reward, as has been done in animals. We developed an event-related functional magnetic resonance imaging paradigm to identify brain areas that are activated after presentation of a reward. Subjects guessed whether the value of a card was higher or lower than the number 5, with monetary rewards as an incentive for correct guesses. They received reward, punishment, or neutral feedback on different trials. Regions in the dorsal and ventral striatum were activated by the paradigm, showing differential responses to reward and punishment. Activation was sustained following a reward feedback, but decreased below baseline following a punishment feedback.</description>
    <dc:title>Tracking the hemodynamic responses to reward and punishment in the striatum.</dc:title>

    <dc:creator>MR Delgado</dc:creator>
    <dc:creator>LE Nystrom</dc:creator>
    <dc:creator>C Fissell</dc:creator>
    <dc:creator>DC Noll</dc:creator>
    <dc:creator>JA Fiez</dc:creator>
    <dc:source>J Neurophysiol, Vol. 84, No. 6. (December 2000), pp. 3072-3077.</dc:source>
    <dc:date>2007-04-20T16:35:12-00:00</dc:date>
    <prism:publicationYear>2000</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>84</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>3072</prism:startingPage>
    <prism:endingPage>3077</prism:endingPage>
    <prism:category>caudate</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>hemodynamic_response</prism:category>
    <prism:category>punishment</prism:category>
    <prism:category>reward</prism:category>
    <prism:category>striatum</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/90089">
    <title>An fMRI study of reward-related probability learning</title>
    <link>http://www.citeulike.org/user/oamg/article/90089</link>
    <description>&lt;i&gt;NeuroImage, Vol. 24, No. 3. (01 February 2005), pp. 862-873.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The human striatum has been implicated in processing reward-related information. More recently, activity in the striatum, particularly the caudate nucleus, has been observed when a contingency between behavior and reward exists, suggesting a role for the caudate in reinforcement-based learning. Using a gambling paradigm, in which affective feedback (reward and punishment) followed simple, random guesses on a trial by trial basis, we sought to investigate the role of the caudate nucleus as reward-related learning progressed. Participants were instructed to make a guess regarding the value of a presented card (if the value of the card was higher or lower than 5). They were told that five different cues would be presented prior to making a guess, and that each cue indicated the probability that the card would be high or low. The goal was to learn the contingencies and maximize the reward attained. Accuracy, as measured by participant's choices, improved throughout the experiment for cues that strongly predicted reward, while no change was observed for unpredictable cues. Event-related fMRI revealed that activity in the caudate nucleus was more robust during the early phases of learning, irrespective of contingencies, suggesting involvement of this region during the initial stages of trial and error learning. Further, the reward feedback signal in the caudate nucleus for well-learned cues decreased as learning progressed, suggesting an evolving adaptation of reward feedback expectancy as a behavior-outcome contingency becomes more predictable.</description>
    <dc:title>An fMRI study of reward-related probability learning</dc:title>

    <dc:creator>M Delgado</dc:creator>
    <dc:creator>M Miller</dc:creator>
    <dc:creator>S Inati</dc:creator>
    <dc:creator>E Phelps</dc:creator>
    <dc:identifier>doi:10.1016/j.neuroimage.2004.10.002</dc:identifier>
    <dc:source>NeuroImage, Vol. 24, No. 3. (01 February 2005), pp. 862-873.</dc:source>
    <dc:date>2005-02-08T01:14:21-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>NeuroImage</prism:publicationName>
    <prism:volume>24</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>862</prism:startingPage>
    <prism:endingPage>873</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>probability</prism:category>
    <prism:category>reinforcement_learning</prism:category>
    <prism:category>reward</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/702349">
    <title>Cortical substrates for exploratory decisions in humans</title>
    <link>http://www.citeulike.org/user/oamg/article/702349</link>
    <description>&lt;i&gt;Nature, Vol. 441, No. 7095., pp. 876-879.&lt;/i&gt;</description>
    <dc:title>Cortical substrates for exploratory decisions in humans</dc:title>

    <dc:creator>Nathaniel Daw</dc:creator>
    <dc:creator>John O'Doherty</dc:creator>
    <dc:creator>Peter Dayan</dc:creator>
    <dc:creator>Ben Seymour</dc:creator>
    <dc:creator>Raymond Dolan</dc:creator>
    <dc:identifier>doi:10.1038/nature04766</dc:identifier>
    <dc:source>Nature, Vol. 441, No. 7095., pp. 876-879.</dc:source>
    <dc:date>2006-06-20T11:57:29-00:00</dc:date>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:volume>441</prism:volume>
    <prism:number>7095</prism:number>
    <prism:startingPage>876</prism:startingPage>
    <prism:endingPage>879</prism:endingPage>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>decision-making</prism:category>
    <prism:category>exploration</prism:category>
    <prism:category>fmri</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1239994">
    <title>Model-based fMRI and its application to reward-learning and decision making.</title>
    <link>http://www.citeulike.org/user/oamg/article/1239994</link>
    <description>&lt;i&gt;Ann N Y Acad Sci (7 April 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;In model-based fMRI, signals derived from a computational model for a specific cognitive process are correlated against fMRI data from subjects performing a relevant task in order to determine brain regions showing a response profile consistent with that model. A key advantage of this technique over more conventional neuroimaging approaches is that model-based fMRI can provide insights into how a particular cognitive process is implemented in a specific brain area as opposed to merely identifying where a particular process is located. This review will briefly summarize the approach of model-based fMRI, with reference to the field of reward-learning and decision making, where computational models have been used to probe the neural mechanisms underlying learning of reward associations, modifying action choice in order to obtain reward, as well as in encoding expected value signals that reflect the abstract structure of a decision problem. Finally, some of the limitations of this approach will be discussed.</description>
    <dc:title>Model-based fMRI and its application to reward-learning and decision making.</dc:title>

    <dc:creator>John Philip O'doherty</dc:creator>
    <dc:creator>Alan N Hampton</dc:creator>
    <dc:creator>Hackjin Kim</dc:creator>
    <dc:identifier>doi:10.1196/annals.1390.022</dc:identifier>
    <dc:source>Ann N Y Acad Sci (7 April 2007)</dc:source>
    <dc:date>2007-04-20T16:22:35-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Ann N Y Acad Sci</prism:publicationName>
    <prism:issn>0077-8923</prism:issn>
    <prism:category>decision_making</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>fmri-methods</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/975284">
    <title>Neural correlates of a 'pessimistic' attitude when anticipating events of unknown emotional valence.</title>
    <link>http://www.citeulike.org/user/oamg/article/975284</link>
    <description>&lt;i&gt;Neuroimage, Vol. 34, No. 2. (15 January 2007), pp. 848-858.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Since we do not know what future holds for us, we prepare for expected emotional events in order to deal with a pleasant or threatening environment. From an evolutionary perspective, it makes sense to be particularly prepared for the worst-case scenario. We were interested to evaluate whether this assumption is reflected in the central nervous information processing associated with expecting visual stimuli of unknown emotional valence. While being scanned with functional magnetic resonance imaging, healthy subjects were cued to expect and then perceive visual stimuli with a known emotional valence as pleasant, unpleasant, and neutral, as well as stimuli of unknown valence that could have been either pleasant or unpleasant. While anticipating pictures of unknown valence, the activity of emotion processing brain areas was similar to activity associated with expecting unpleasant pictures, but there were no areas in which the activity was similar to the activity when expecting pleasant pictures. The activity of the revealed regions, including bilateral insula, right inferior frontal gyrus, medial thalamus, and red nucleus, further correlated with the individual ratings of mood: the worse the mood, the higher the activity. These areas are supposedly involved in a network for internal adaptation and preparation processes in order to act according to potential or certain unpleasant events. Their activity appears to reflect a 'pessimistic' bias by anticipating the events of unknown valence to be unpleasant.</description>
    <dc:title>Neural correlates of a 'pessimistic' attitude when anticipating events of unknown emotional valence.</dc:title>

    <dc:creator>U Herwig</dc:creator>
    <dc:creator>T Kaffenberger</dc:creator>
    <dc:creator>T Baumgartner</dc:creator>
    <dc:creator>L Jäncke</dc:creator>
    <dc:identifier>doi:10.1016/j.neuroimage.2006.09.035</dc:identifier>
    <dc:source>Neuroimage, Vol. 34, No. 2. (15 January 2007), pp. 848-858.</dc:source>
    <dc:date>2006-12-05T13:26:49-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Neuroimage</prism:publicationName>
    <prism:issn>1053-8119</prism:issn>
    <prism:volume>34</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>848</prism:startingPage>
    <prism:endingPage>858</prism:endingPage>
    <prism:category>emotion</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>pessimism</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1239931">
    <title>Medial prefrontal activity differentiates self from close others</title>
    <link>http://www.citeulike.org/user/oamg/article/1239931</link>
    <description>&lt;i&gt;Social Cognitive and Affective Neuroscience (2006)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;A key question in psychology and neuroscience is the extent to which the neural representation of others is incorporated with, or is distinct from, our concept of self. Recent neuroimaging research has emphasized the importance of a region in the medial prefrontal cortex [MPFC; Brodmann's area (BA) 10] when performing self-referent tasks. Specifically, previous studies have reported selective MPFC recruitment when making judgments about the self relative to a familiar but personally unknown other. The present event-related functional magnetic resonance imaging study extends these findings to judgments about personally known others. Subjects were imaged while making trait adjective judgments in one of the three conditions: (i) whether the adjective described the self; (ii) whether the adjective described an intimate other (i.e., a best friend); or (iii) whether the adjective was presented in uppercase letters. Making judgments about the self relative to an intimate other selectively activated the MPFC region previously implicated in the self-processing literature. These results suggest that while we may incorporate intimate others into our self-concept, the neural correlates of the self remain distinct from intimate and non-intimate others.</description>
    <dc:title>Medial prefrontal activity differentiates self from close others</dc:title>

    <dc:creator>Tf Heatherton</dc:creator>
    <dc:creator>Cl Wyland</dc:creator>
    <dc:creator>Cn Macrae</dc:creator>
    <dc:creator>Ke Demos</dc:creator>
    <dc:creator>Bt Denny</dc:creator>
    <dc:creator>Wm Kelley</dc:creator>
    <dc:source>Social Cognitive and Affective Neuroscience (2006)</dc:source>
    <dc:date>2007-04-20T15:51:16-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Social Cognitive and Affective Neuroscience</prism:publicationName>
    <prism:category>agency</prism:category>
    <prism:category>dartmouth_crew</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>medial_prefrontal</prism:category>
    <prism:category>self</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1239928">
    <title>Neuroanatomical evidence for distinct cognitive and affective components of self.</title>
    <link>http://www.citeulike.org/user/oamg/article/1239928</link>
    <description>&lt;i&gt;J Cogn Neurosci, Vol. 18, No. 9. (September 2006), pp. 1586-1594.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;This study examines whether the cognitive and affective components of self-reflection can be dissociated using functional magnetic resonance imaging. Using a simple paradigm in which subjects judged the personal relevance of personality characteristics that were either favorable (e.g., &#34;honest&#34;) or unfavorable (e.g., &#34;lazy&#34;, we found that distinct neural circuits in adjacent regions of the prefrontal cortex subserve cognitive and emotional aspects of self-reflection. The medial prefrontal cortex responded only to material that was self-descriptive, and this did not differ as a function of the valence of the trait. When material was judged to be self-relevant, the valence of the material was resolved in an adjacent region of ventral anterior cingulate. The nature of self is one of the most enduring questions in science, and researchers are now beginning to be able to decompose the neural operations that give rise to a unitary sense of self.</description>
    <dc:title>Neuroanatomical evidence for distinct cognitive and affective components of self.</dc:title>

    <dc:creator>JM Moran</dc:creator>
    <dc:creator>CN Macrae</dc:creator>
    <dc:creator>TF Heatherton</dc:creator>
    <dc:creator>CL Wyland</dc:creator>
    <dc:creator>WM Kelley</dc:creator>
    <dc:identifier>doi:10.1162/jocn.2006.18.9.1586</dc:identifier>
    <dc:source>J Cogn Neurosci, Vol. 18, No. 9. (September 2006), pp. 1586-1594.</dc:source>
    <dc:date>2007-04-20T15:47:02-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>J Cogn Neurosci</prism:publicationName>
    <prism:issn>0898-929X</prism:issn>
    <prism:volume>18</prism:volume>
    <prism:number>9</prism:number>
    <prism:startingPage>1586</prism:startingPage>
    <prism:endingPage>1594</prism:endingPage>
    <prism:category>dartmouth_crew</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>self</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1075815">
    <title>The Neural Basis of Loss Aversion in Decision-Making Under Risk</title>
    <link>http://www.citeulike.org/user/oamg/article/1075815</link>
    <description>&lt;i&gt;Science, Vol. 315, No. 5811. (26 January 2007), pp. 515-518.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;People typically exhibit greater sensitivity to losses than to equivalent gains when making decisions. We investigated neural correlates of loss aversion while individuals decided whether to accept or reject gambles that offered a 50/50 chance of gaining or losing money. A broad set of areas (including midbrain dopaminergic regions and their targets) showed increasing activity as potential gains increased. Potential losses were represented by decreasing activity in several of these same gain-sensitive areas. Finally, individual differences in behavioral loss aversion were predicted by a measure of neural loss aversion in several regions, including the ventral striatum and prefrontal cortex. 10.1126/science.1134239</description>
    <dc:title>The Neural Basis of Loss Aversion in Decision-Making Under Risk</dc:title>

    <dc:creator>Sabrina Tom</dc:creator>
    <dc:creator>Craig Fox</dc:creator>
    <dc:creator>Christopher Trepel</dc:creator>
    <dc:creator>Russell Poldrack</dc:creator>
    <dc:identifier>doi:10.1126/science.1134239</dc:identifier>
    <dc:source>Science, Vol. 315, No. 5811. (26 January 2007), pp. 515-518.</dc:source>
    <dc:date>2007-01-30T10:47:34-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:volume>315</prism:volume>
    <prism:number>5811</prism:number>
    <prism:startingPage>515</prism:startingPage>
    <prism:endingPage>518</prism:endingPage>
    <prism:category>aversion</prism:category>
    <prism:category>decision-making</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>loss</prism:category>
    <prism:category>loss_aversion</prism:category>
    <prism:category>risk</prism:category>
    <prism:category>striatum</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/311806">
    <title>The Neural Basis of Financial Risk Taking</title>
    <link>http://www.citeulike.org/user/oamg/article/311806</link>
    <description>&lt;i&gt;Neuron, Vol. 47, No. 5. (1 September 2005), pp. 763-770.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;SummaryInvestors systematically deviate from rationality when making financial decisions, yet the mechanisms responsible for these deviations have not been identified. Using event-related fMRI, we examined whether anticipatory neural activity would predict optimal and suboptimal choices in a financial decision-making task. We characterized two types of deviations from the optimal investment strategy of a rational risk-neutral agent as risk-seeking mistakes and risk-aversion mistakes. Nucleus accumbens activation preceded risky choices as well as risk-seeking mistakes, while anterior insula activation preceded riskless choices as well as risk-aversion mistakes. These findings suggest that distinct neural circuits linked to anticipatory affect promote different types of financial choices and indicate that excessive activation of these circuits may lead to investing mistakes. Thus, consideration of anticipatory neural mechanisms may add predictive power to the rational actor model of economic decision making.</description>
    <dc:title>The Neural Basis of Financial Risk Taking</dc:title>

    <dc:creator>Camelia Kuhnen</dc:creator>
    <dc:creator>Brian Knutson</dc:creator>
    <dc:identifier>doi:10.1016/j.neuron.2005.08.008</dc:identifier>
    <dc:source>Neuron, Vol. 47, No. 5. (1 September 2005), pp. 763-770.</dc:source>
    <dc:date>2005-09-06T08:06:36-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:volume>47</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>763</prism:startingPage>
    <prism:endingPage>770</prism:endingPage>
    <prism:category>decision-making</prism:category>
    <prism:category>fmri</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1074912">
    <title>Decision-making and the frontal lobes.</title>
    <link>http://www.citeulike.org/user/oamg/article/1074912</link>
    <description>&lt;i&gt;Curr Opin Neurol, Vol. 19, No. 4. (August 2006), pp. 401-406.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;PURPOSE OF REVIEW: This article reviews the most significant advances concerning the neural correlates of decision-making with emphasis on those imaging studies investigating the neural implementation of evaluative judgment processes. This is done against the background of current concepts from the field of judgment and decision-making. RECENT FINDINGS: Actual neuroscientific findings suggest that subject to the extent of how deeply a decision-maker has to explore his/her value system in order to reach a decision, distinguishable orbital and medial prefrontal areas will be engaged. Decisions low in costs mapping the values onto the decision problem mainly rely on orbital and ventromedial prefrontal cortex, whereas decisions high in costs particularly draw on anterior-medial and dorsomedial prefrontal areas. This suggestion is related to the anatomic properties of the respective areas. SUMMARY: Combining neuroimaging data with concepts from research in judgment and decision-making may facilitate advances in our understanding of the contrast between normative theories and descriptive theories of decision-making. Incorporating findings from research on decision-making behavior in patients with specific prefrontal lesions may have much to offer for an understanding of both the areas' functions and cognitive theories on decision-making.</description>
    <dc:title>Decision-making and the frontal lobes.</dc:title>

    <dc:creator>KG Volz</dc:creator>
    <dc:creator>RI Schubotz</dc:creator>
    <dc:creator>DY von Cramon</dc:creator>
    <dc:identifier>doi:10.1097/01.wco.0000236621.83872.71</dc:identifier>
    <dc:source>Curr Opin Neurol, Vol. 19, No. 4. (August 2006), pp. 401-406.</dc:source>
    <dc:date>2007-01-29T20:27:27-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Curr Opin Neurol</prism:publicationName>
    <prism:issn>1350-7540</prism:issn>
    <prism:volume>19</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>401</prism:startingPage>
    <prism:endingPage>406</prism:endingPage>
    <prism:category>cost</prism:category>
    <prism:category>decision-making</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>frontal</prism:category>
    <prism:category>prefrontal</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1212038">
    <title>What neuroscience can tell about intuitive processes in the context of perceptual discovery.</title>
    <link>http://www.citeulike.org/user/oamg/article/1212038</link>
    <description>&lt;i&gt;J Cogn Neurosci, Vol. 18, No. 12. (December 2006), pp. 2077-2087.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;According to the Oxford English Dictionary, intuition is &#34;the ability to understand or know something immediately, without conscious reasoning.&#34; Most people would agree that intuitive responses appear as ideas or feelings that subsequently guide our thoughts and behaviors. It is proposed that people continuously, without conscious attention, recognize patterns in the stream of sensations that impinge upon them. What exactly is being recognized is not clear yet, but we assume that people detect potential content based on only a few aspects of the input (i.e., the gist). The result is a vague perception of coherence which is not explicitly describable but instead embodied in a &#34;gut feeling&#34; or an initial guess, which subsequently biases thought and inquiry. To approach the nature of intuitive processes, we used functional magnetic resonance imaging when participants were working at a modified version of the Waterloo Gestalt Closure Task. Starting from our conceptualization that intuition involves an informed judgment in the context of discovery, we expected activation within the median orbito-frontal cortex (OFC), as this area receives input from all sensory modalities and has been shown to be crucially involved in emotionally driven decisions. Results from a direct contrast between intuitive and nonintuitive judgments, as well as from a parametric analysis, revealed the median OFC, the lateral portion of the amygdala, anterior insula, and ventral occipito-temporal regions to be activated. Based on these findings, we suggest our definition of intuition to be promising and a good starting point for future research on intuitive processes.</description>
    <dc:title>What neuroscience can tell about intuitive processes in the context of perceptual discovery.</dc:title>

    <dc:creator>KG Volz</dc:creator>
    <dc:creator>DY von Cramon</dc:creator>
    <dc:identifier>doi:10.1162/jocn.2006.18.12.2077</dc:identifier>
    <dc:source>J Cogn Neurosci, Vol. 18, No. 12. (December 2006), pp. 2077-2087.</dc:source>
    <dc:date>2007-04-06T15:54:27-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>J Cogn Neurosci</prism:publicationName>
    <prism:issn>0898-929X</prism:issn>
    <prism:volume>18</prism:volume>
    <prism:number>12</prism:number>
    <prism:startingPage>2077</prism:startingPage>
    <prism:endingPage>2087</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>intuition</prism:category>
    <prism:category>intuitive</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/206015">
    <title>Predicting events of varying probability: uncertainty investigated by fMRI.</title>
    <link>http://www.citeulike.org/user/oamg/article/206015</link>
    <description>&lt;i&gt;Neuroimage, Vol. 19, No. 2 Pt 1. (June 2003), pp. 271-280.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Many everyday life predictions rely on the experience and memory of event frequencies, i.e., natural samplings. We used functional magnetic resonance imaging (fMRI) to investigate the neural substrates of prediction under varying uncertainty based on a natural sampling approach. The study focused particularly on a comparison with other types of externally attributed uncertainty, such as guessing, and on the frontomedian cortex, which is known to be engaged in many types of decisions under uncertainty. On the basis of preceding stimulus cues, participants predicted events that occurred with probabilities ranging from p = 0.6 to p = 1.0. In contrast to certain predictions in a control task, predictions under uncertainty elicited activations within a posterior frontomedian area (mesial BA 8) and within a set of subcortical areas which are known to subserve dopaminergic modulations. The parametric analysis revealed that activation within the mesial BA 8 significantly increased with increasing uncertainty. A comparison with other types of uncertainty indicates that frontomedian correlates of frequency-based prediction appear to be comparable with those induced in long-term stimulus-response adaptation processes such as hypothesis testing, in contrast to those engaged in short-term error processing such as guessing.</description>
    <dc:title>Predicting events of varying probability: uncertainty investigated by fMRI.</dc:title>

    <dc:creator>KG Volz</dc:creator>
    <dc:creator>RI Schubotz</dc:creator>
    <dc:creator>DY von Cramon</dc:creator>
    <dc:source>Neuroimage, Vol. 19, No. 2 Pt 1. (June 2003), pp. 271-280.</dc:source>
    <dc:date>2005-05-20T14:59:58-00:00</dc:date>
    <prism:publicationYear>2003</prism:publicationYear>
    <prism:publicationName>Neuroimage</prism:publicationName>
    <prism:issn>1053-8119</prism:issn>
    <prism:volume>19</prism:volume>
    <prism:number>2 Pt 1</prism:number>
    <prism:startingPage>271</prism:startingPage>
    <prism:endingPage>280</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>task</prism:category>
    <prism:category>uncertainty</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/789164">
    <title>Frames, biases, and rational decision-making in the human brain.</title>
    <link>http://www.citeulike.org/user/oamg/article/789164</link>
    <description>&lt;i&gt;Science, Vol. 313, No. 5787. (4 August 2006), pp. 684-687.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Human choices are remarkably susceptible to the manner in which options are presented. This so-called &#34;framing effect&#34; represents a striking violation of standard economic accounts of human rationality, although its underlying neurobiology is not understood. We found that the framing effect was specifically associated with amygdala activity, suggesting a key role for an emotional system in mediating decision biases. Moreover, across individuals, orbital and medial prefrontal cortex activity predicted a reduced susceptibility to the framing effect. This finding highlights the importance of incorporating emotional processes within models of human choice and suggests how the brain may modulate the effect of these biasing influences to approximate rationality.</description>
    <dc:title>Frames, biases, and rational decision-making in the human brain.</dc:title>

    <dc:creator>B De Martino</dc:creator>
    <dc:creator>D Kumaran</dc:creator>
    <dc:creator>B Seymour</dc:creator>
    <dc:creator>RJ Dolan</dc:creator>
    <dc:identifier>doi:10.1126/science.1128356</dc:identifier>
    <dc:source>Science, Vol. 313, No. 5787. (4 August 2006), pp. 684-687.</dc:source>
    <dc:date>2006-08-07T22:43:13-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:issn>1095-9203</prism:issn>
    <prism:volume>313</prism:volume>
    <prism:number>5787</prism:number>
    <prism:startingPage>684</prism:startingPage>
    <prism:endingPage>687</prism:endingPage>
    <prism:category>decision_making</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>framing</prism:category>
    <prism:category>human</prism:category>
    <prism:category>neuroeconomics</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/771151">
    <title>Cognitive neuroimaging: Cognitive science out of the armchair</title>
    <link>http://www.citeulike.org/user/oamg/article/771151</link>
    <description>&lt;i&gt;Brain and Cognition, Vol. 60, No. 3. (April 2006), pp. 272-281.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Cognitive scientists were not quick to embrace the functional neuroimaging technologies that emerged during the late 20th century. In this new century, cognitive scientists continue to question, not unreasonably, the relevance of functional neuroimaging investigations that fail to address questions of interest to cognitive science. However, some ultra-cognitive scientists assert that these experiments can never be of relevance to the study of cognition. Their reasoning reflects an adherence to a functionalist philosophy that arbitrarily and purposefully distinguishes mental information-processing systems from brain or brain-like operations. This article addresses whether data from properly conducted functional neuroimaging studies can inform and subsequently constrain the assumptions of theoretical cognitive models. The article commences with a focus upon the functionalist philosophy espoused by the ultra-cognitive scientists, contrasting it with the materialist philosophy that motivates both cognitive neuroimaging investigations and connectionist modelling of cognitive systems. Connectionism and cognitive neuroimaging share many features, including an emphasis on unified cognitive and neural models of systems that combine localist and distributed representations. The utility of designing cognitive neuroimaging studies to test (primarily) connectionist models of cognitive phenomena is illustrated using data from functional magnetic resonance imaging (fMRI) investigations of language production and episodic memory.</description>
    <dc:title>Cognitive neuroimaging: Cognitive science out of the armchair</dc:title>

    <dc:creator>Greig de Zubicaray</dc:creator>
    <dc:identifier>doi:10.1016/j.bandc.2005.11.008</dc:identifier>
    <dc:source>Brain and Cognition, Vol. 60, No. 3. (April 2006), pp. 272-281.</dc:source>
    <dc:date>2006-07-24T13:36:49-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Brain and Cognition</prism:publicationName>
    <prism:volume>60</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>272</prism:startingPage>
    <prism:endingPage>281</prism:endingPage>
    <prism:category>cognition</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>functionalism</prism:category>
    <prism:category>methodology</prism:category>
    <prism:category>neuroscience</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/515764">
    <title>Study design in fMRI: Basic principles.</title>
    <link>http://www.citeulike.org/user/oamg/article/515764</link>
    <description>&lt;i&gt;Brain Cogn (18 January 2006)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;There is a wide range of functional magnetic resonance imaging (fMRI) study designs available for the neuroscientist who wants to investigate cognition. In this manuscript we review some aspects of fMRI study design, including cognitive comparison strategies (factorial, parametric designs), and stimulus presentation possibilities (block, event-related, rapid event-related, mixed, and self-driven experiment designs) along with technical aspects, such as limitations of signal to noise ratio, spatial, and temporal resolution. We also discuss methods to deal with cases where scanning parameters become the limiting factor (parallel acquisitions, variable jittered designs, scanner acoustic noise strategies).</description>
    <dc:title>Study design in fMRI: Basic principles.</dc:title>

    <dc:creator>Edson Amaro</dc:creator>
    <dc:creator>Gareth J Barker</dc:creator>
    <dc:identifier>doi:10.1016/j.bandc.2005.11.009</dc:identifier>
    <dc:source>Brain Cogn (18 January 2006)</dc:source>
    <dc:date>2006-02-22T14:35:50-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Brain Cogn</prism:publicationName>
    <prism:issn>0278-2626</prism:issn>
    <prism:category>design</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>fmri_methods</prism:category>
    <prism:category>methodology</prism:category>
    <prism:category>neuroscience</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1115474">
    <title>Decoding the neural substrates of reward-related decision making with functional MRI.</title>
    <link>http://www.citeulike.org/user/oamg/article/1115474</link>
    <description>&lt;i&gt;Proc Natl Acad Sci U S A, Vol. 104, No. 4. (23 January 2007), pp. 1377-1382.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Although previous studies have implicated a diverse set of brain regions in reward-related decision making, it is not yet known which of these regions contain information that directly reflects a decision. Here, we measured brain activity using functional MRI in a group of subjects while they performed a simple reward-based decision-making task: probabilistic reversal-learning. We recorded brain activity from nine distinct regions of interest previously implicated in decision making and separated out local spatially distributed signals in each region from global differences in signal. Using a multivariate analysis approach, we determined the extent to which global and local signals could be used to decode subjects' subsequent behavioral choice, based on their brain activity on the preceding trial. We found that subjects' decisions could be decoded to a high level of accuracy on the basis of both local and global signals even before they were required to make a choice, and even before they knew which physical action would be required. Furthermore, the combined signals from three specific brain areas (anterior cingulate cortex, medial prefrontal cortex, and ventral striatum) were found to provide all of the information sufficient to decode subjects' decisions out of all of the regions we studied. These findings implicate a specific network of regions in encoding information relevant to subsequent behavioral choice.</description>
    <dc:title>Decoding the neural substrates of reward-related decision making with functional MRI.</dc:title>

    <dc:creator>AN Hampton</dc:creator>
    <dc:creator>JP O'doherty</dc:creator>
    <dc:identifier>doi:10.1073/pnas.0606297104</dc:identifier>
    <dc:source>Proc Natl Acad Sci U S A, Vol. 104, No. 4. (23 January 2007), pp. 1377-1382.</dc:source>
    <dc:date>2007-02-21T01:36:17-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Proc Natl Acad Sci U S A</prism:publicationName>
    <prism:issn>0027-8424</prism:issn>
    <prism:volume>104</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>1377</prism:startingPage>
    <prism:endingPage>1382</prism:endingPage>
    <prism:category>anterior_cingulate</prism:category>
    <prism:category>decision-making</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>medial_prefrontal_cortex</prism:category>
    <prism:category>reward</prism:category>
    <prism:category>striatum</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/562752">
    <title>Dorsal anterior cingulate cortex shows fMRI response to internal and external error signals.</title>
    <link>http://www.citeulike.org/user/oamg/article/562752</link>
    <description>&lt;i&gt;Nat Neurosci, Vol. 7, No. 5. (May 2004), pp. 497-498.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;In our event-related functional magnetic resonance imaging (fMRI) experiment, participants learned to select between two response options by trial-and-error, using feedback stimuli that indicated monetary gains and losses. The results of the experiment indicate that error responses and error feedback activate the same region of dorsal anterior cingulate cortex, suggesting that this region is sensitive to both internal and external sources of error information.</description>
    <dc:title>Dorsal anterior cingulate cortex shows fMRI response to internal and external error signals.</dc:title>

    <dc:creator>CB Holroyd</dc:creator>
    <dc:creator>S Nieuwenhuis</dc:creator>
    <dc:creator>N Yeung</dc:creator>
    <dc:creator>L Nystrom</dc:creator>
    <dc:creator>RB Mars</dc:creator>
    <dc:creator>MG Coles</dc:creator>
    <dc:creator>JD Cohen</dc:creator>
    <dc:identifier>doi:10.1038/nn1238</dc:identifier>
    <dc:source>Nat Neurosci, Vol. 7, No. 5. (May 2004), pp. 497-498.</dc:source>
    <dc:date>2006-03-24T21:09:05-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Nat Neurosci</prism:publicationName>
    <prism:issn>1097-6256</prism:issn>
    <prism:volume>7</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>497</prism:startingPage>
    <prism:endingPage>498</prism:endingPage>
    <prism:category>dorsal_anterior_cingulate</prism:category>
    <prism:category>error_signals</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>reinforcement_learning</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1110244">
    <title>fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences.</title>
    <link>http://www.citeulike.org/user/oamg/article/1110244</link>
    <description>&lt;i&gt;Neuroimage, Vol. 32, No. 2. (15 August 2006), pp. 714-727.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;A visuo-motor sequence can be learned as a series of visuo-spatial cues or as a sequence of effector movements. Earlier imaging studies have revealed that a network of brain areas is activated in the course of motor sequence learning. However, these studies do not address the question of the type of representation being established at various stages of visuo-motor sequence learning. In an earlier behavioral study, we demonstrated that acquisition of visuo-spatial sequence representation enables rapid learning in the early stage and progressive establishment of somato-motor representation helps speedier execution by the late stage. We conducted functional magnetic resonance imaging (fMRI) experiments wherein subjects learned and practiced the same sequence alternately in normal and rotated settings. In one rotated setting (visual), subjects learned a new motor sequence in response to an identical sequence of visual cues as in normal. In another rotated setting (motor), the display sequence was altered as compared to normal, but the same sequence of effector movements was used to perform the sequence. Comparison of different rotated settings revealed analogous transitions both in the cortical and subcortical sites during visuo-motor sequence learning-a transition of activity from parietal to parietal-premotor and then to premotor cortex and a concomitant shift was observed from anterior putamen to a combined activity in both anterior and posterior putamen and finally to posterior putamen. These results suggest a putative role for engagement of different cortical and subcortical networks at various stages of learning in supporting distinct sequence representations.</description>
    <dc:title>fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences.</dc:title>

    <dc:creator>RS Bapi</dc:creator>
    <dc:creator>KP Miyapuram</dc:creator>
    <dc:creator>FX Graydon</dc:creator>
    <dc:creator>K Doya</dc:creator>
    <dc:identifier>doi:10.1016/j.neuroimage.2006.04.205</dc:identifier>
    <dc:source>Neuroimage, Vol. 32, No. 2. (15 August 2006), pp. 714-727.</dc:source>
    <dc:date>2007-02-17T02:13:53-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Neuroimage</prism:publicationName>
    <prism:issn>1053-8119</prism:issn>
    <prism:volume>32</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>714</prism:startingPage>
    <prism:endingPage>727</prism:endingPage>
    <prism:category>abstract</prism:category>
    <prism:category>effector-specific</prism:category>
    <prism:category>fmri</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1115348">
    <title>Evidence for a refractory period in the hemodynamic response to visual stimuli as measured by MRI.</title>
    <link>http://www.citeulike.org/user/oamg/article/1115348</link>
    <description>&lt;i&gt;Neuroimage, Vol. 11, No. 5 Pt 1. (May 2000), pp. 547-553.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We investigated the effects of paired presentations of visual stimuli upon the evoked hemodynamic response of visual cortex measured by magnetic resonance imaging (MRI). Stimuli were identical 500-ms high-contrast checkerboard patterns, presented singly or with an interpair interval (IPI) of 1, 2, 4, or 6 s (onset-to-onset), followed by an intertrial interval of 16-20 s. Images were acquired at 1.5 Tesla using a gradient-echo echoplanar imaging sequence sensitive to blood-oxygenation-level dependent (BOLD) contrast. Single checkerboards evoked a hemodynamic response from visual cortex characterized by a rise at 3 s, peak activation at 5 s, and return to baseline by 10 s. We subtracted subjects' single-stimulus hemodynamic response from their paired-stimulus responses to isolate the contribution of the second stimulus. If the hemodynamic responses were fully additive, the residual should be a time-shifted replica of the single stimulus response. However, the amplitude of the hemodynamic response to the second checkerboard was smaller, and the peak latency was longer, than for the first. Furthermore, the amplitude decrement was dependent upon IPI, such that the response to the second stimulus at 1 s IPI was only 55% of that to a single stimulus, with recovery to 90% at a 6 s IPI. Peak latency was similarly dependent upon IPI with longer latencies observed for shorter IPIs. These results demonstrate an extended refractory period in the hemodynamic response to visual stimuli consistent with that shown previously for neuronal activity measured electrophysiologically.</description>
    <dc:title>Evidence for a refractory period in the hemodynamic response to visual stimuli as measured by MRI.</dc:title>

    <dc:creator>SA Huettel</dc:creator>
    <dc:creator>G McCarthy</dc:creator>
    <dc:identifier>doi:10.1006/nimg.2000.0553</dc:identifier>
    <dc:source>Neuroimage, Vol. 11, No. 5 Pt 1. (May 2000), pp. 547-553.</dc:source>
    <dc:date>2007-02-20T23:04:00-00:00</dc:date>
    <prism:publicationYear>2000</prism:publicationYear>
    <prism:publicationName>Neuroimage</prism:publicationName>
    <prism:issn>1053-8119</prism:issn>
    <prism:volume>11</prism:volume>
    <prism:number>5 Pt 1</prism:number>
    <prism:startingPage>547</prism:startingPage>
    <prism:endingPage>553</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>fmri_methods</prism:category>
    <prism:category>refractory_period</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1115346">
    <title>The effects of single-trial averaging upon the spatial extent of fMRI activation.</title>
    <link>http://www.citeulike.org/user/oamg/article/1115346</link>
    <description>&lt;i&gt;Neuroreport, Vol. 12, No. 11. (8 August 2001), pp. 2411-2416.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We examined effects of trial averaging upon spatial extent, spatial topography, and temporal properties of fMRI activation. Two subjects participated in an event-related visual stimulation design. There was an exponential relation between number of trials and spatial extent, such that additional trials identified, on average, a constant proportion of the remaining voxels. At values typical of fMRI experimentation (e.g. 50 trials) only about 50% of eventually active voxels were significant; asymptotic values were approached by 150 trials. The variability of the estimated hemodynamic response decreased with signal averaging, becoming stable across samples of &#62; or = 25 trials. Therefore, group or condition differences may result from differences in voxelwise noise exacerbated by averaging small numbers of trials.</description>
    <dc:title>The effects of single-trial averaging upon the spatial extent of fMRI activation.</dc:title>

    <dc:creator>SA Huettel</dc:creator>
    <dc:creator>G McCarthy</dc:creator>
    <dc:source>Neuroreport, Vol. 12, No. 11. (8 August 2001), pp. 2411-2416.</dc:source>
    <dc:date>2007-02-20T23:02:54-00:00</dc:date>
    <prism:publicationYear>2001</prism:publicationYear>
    <prism:publicationName>Neuroreport</prism:publicationName>
    <prism:issn>0959-4965</prism:issn>
    <prism:volume>12</prism:volume>
    <prism:number>11</prism:number>
    <prism:startingPage>2411</prism:startingPage>
    <prism:endingPage>2416</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>single-trial_averaging</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1115344">
    <title>Dissociating the neural mechanisms of visual attention in change detection using functional MRI.</title>
    <link>http://www.citeulike.org/user/oamg/article/1115344</link>
    <description>&lt;i&gt;J Cogn Neurosci, Vol. 13, No. 7. (1 October 2001), pp. 1006-1018.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We investigated using functional magnetic resonance imaging (fMRI) the neural processes associated with performance of a change-detection task. In this task, two versions of the same picture are presented in alternation, separated by a brief mask interval. Even when the two pictures greatly differ (e.g., as when a building is in different locations), subjects report that identification of the change is difficult and often take 30 or more seconds to identify the change. This phenomenon of &#34;change blindness&#34; provides a powerful and novel paradigm for segregating components of visual attention using fMRI that can otherwise be confounded in short-duration tasks. By using a response-contingent event-related analysis technique, we successfully dissociated brain regions associated with different processing components of a visual change-detection task. Activation in the calcarine cortex was associated with task onset, but did not vary with the duration of visual search. In contrast, the pattern of activation in dorsal and ventral visual areas was temporally associated with the duration of visual search. As such, our results support a distinction between brain regions whose activation is modulated by attentional demands of the visual task (extrastriate cortex) and those that are not affected by it (primary visual cortex). A second network of areas including central sulcus, insular, and inferior frontal cortical areas, along with the thalamus and basal ganglia, showed phasic activation tied to the execution of responses. Finally, parietal and frontal regions showed systematic deactivations during task performance, consistent with previous reports that these regions may be associated with nontask semantic processing. We conclude that detection of change, when transient visual cues are not present, requires activation of extrastriate visual regions and frontal regions responsible for eye movements. These results suggest that studies of change blindness can inform understanding of more general attentional processing.</description>
    <dc:title>Dissociating the neural mechanisms of visual attention in change detection using functional MRI.</dc:title>

    <dc:creator>SA Huettel</dc:creator>
    <dc:creator>G Güzeldere</dc:creator>
    <dc:creator>G McCarthy</dc:creator>
    <dc:identifier>doi:10.1162/089892901753165908</dc:identifier>
    <dc:source>J Cogn Neurosci, Vol. 13, No. 7. (1 October 2001), pp. 1006-1018.</dc:source>
    <dc:date>2007-02-20T23:02:33-00:00</dc:date>
    <prism:publicationYear>2001</prism:publicationYear>
    <prism:publicationName>J Cogn Neurosci</prism:publicationName>
    <prism:issn>0898-929X</prism:issn>
    <prism:volume>13</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>1006</prism:startingPage>
    <prism:endingPage>1018</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>change_detection</prism:category>
    <prism:category>fmri</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1115342">
    <title>Deterministic and stochastic features of fMRI data: implications for analysis of event-related experiments.</title>
    <link>http://www.citeulike.org/user/oamg/article/1115342</link>
    <description>&lt;i&gt;J Neurosci Methods, Vol. 118, No. 2. (30 August 2002), pp. 103-113.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;As the limits of stimuli presentation rates are explored in event-related fMRI design, there is a greater need to assess the implications of averaging raw fMRI data. Selective averaging assumes that the fMRI signal consists of task-dependent signal, random noise, and non-task dependent brain signal that can be modeled as random noise so that it tends to zero when averaged over a practical number of trials. We recorded a total of four fMRI data series from two normal subjects (subject 1, axially acquired; subject 2, coronally acquired) performing a simple visual event-related task and a water phantom with the same fMRI scanner imaging parameters. To determine which fraction of the fMRI data was deterministic as opposed to random, we created different data subsets by taking the odd or even time points of the full data sets. All data sets were first dimension-reduced with principal component analysis (PCA) and separated into 100 spatially independent components with independent component analysis (ICA). The mutual information between best-matching pairs of components selected from full data set-subset comparisons was plotted for each data set. Visual inspection suggested that 45-85 components were reproducible, and hence deterministic, accounting for 79-97% of the variance, respectively, in the raw data. The reproducible components exhibited much less trial-to-trial variability than the raw data from even the most activated voxel. Many (22-47) of reproducible components were significantly affected by stimulus presentation (P &#60; 0.001). The most significantly-stimulus-correlated component was strongly time-locked to stimulus presentation and was directly stimulus correlated, corresponding to occipital brain regions. However, other spatially distinct task-related components demonstrated variable temporal relationships with the most significantly-stimulus-correlated component. Our results suggest that the majority of the variance in fMRI data is in fact deterministic, and support the notion that the data consist of differing components with differing temporal relationships to visual stimulation. They further suggest roles for restricting interpretations of the spatial extent of activation from event-related designs to a specific region of interest (ROI) and/or first separating the data into spatially independent components. Averaging the time courses of spatially independent components time-locked to stimulus presentation may prevent possible biases in the estimates of the spatial and temporal extent of stimulus-correlated activation and of trial-to-trial variability.</description>
    <dc:title>Deterministic and stochastic features of fMRI data: implications for analysis of event-related experiments.</dc:title>

    <dc:creator>MJ McKeown</dc:creator>
    <dc:creator>V Varadarajan</dc:creator>
    <dc:creator>S Huettel</dc:creator>
    <dc:creator>G McCarthy</dc:creator>
    <dc:source>J Neurosci Methods, Vol. 118, No. 2. (30 August 2002), pp. 103-113.</dc:source>
    <dc:date>2007-02-20T23:01:50-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>J Neurosci Methods</prism:publicationName>
    <prism:issn>0165-0270</prism:issn>
    <prism:volume>118</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>103</prism:startingPage>
    <prism:endingPage>113</prism:endingPage>
    <prism:category>event-related</prism:category>
    <prism:category>fmri</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1115338">
    <title>Linking hemodynamic and electrophysiological measures of brain activity: evidence from functional MRI and intracranial field potentials.</title>
    <link>http://www.citeulike.org/user/oamg/article/1115338</link>
    <description>&lt;i&gt;Cereb Cortex, Vol. 14, No. 2. (February 2004), pp. 165-173.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We investigated the relation between electrophysiological and hemodynamic measures of brain activity through comparison of intracranially recorded event-related local field potentials (ERPs) and blood-oxygenation level dependent functional magnetic resonance imaging (BOLD fMRI). We manipulated the duration of visual checkerboard stimuli across trials and measured stimulus-duration-related changes in ERP and BOLD activity in three brain regions: peri-calcarine cortex, the fusiform gyrus and lateral temporal-occipital (LTO) cortex. ERPs were recorded from patients who had indwelling subdural electrodes as part of presurgical testing, while BOLD responses were measured in similar brain regions in a second set of subjects. Similar BOLD responses were measured in peri-calcarine and fusiform regions, with both showing monotonic but non-linear increases in hemodynamic amplitude with stimulus duration. In sharp contrast, very different ERP responses were observed in these same regions, such that calcarine electrodes exhibited onset potentials, sustained activity over the course of stimulus duration and prominent offset potentials, while fusiform electrodes only exhibited onset potentials that did not vary with stimulus duration. No duration-related ERP or BOLD changes were observed in LTO. Additional analyses revealed no consistent changes in the EEG spectrum across different brain sites that correlated with duration-related changes in the BOLD response. We conclude that the relation between ERPs and fMRI differs across brain regions.</description>
    <dc:title>Linking hemodynamic and electrophysiological measures of brain activity: evidence from functional MRI and intracranial field potentials.</dc:title>

    <dc:creator>SA Huettel</dc:creator>
    <dc:creator>MJ McKeown</dc:creator>
    <dc:creator>AW Song</dc:creator>
    <dc:creator>S Hart</dc:creator>
    <dc:creator>DD Spencer</dc:creator>
    <dc:creator>T Allison</dc:creator>
    <dc:creator>G McCarthy</dc:creator>
    <dc:source>Cereb Cortex, Vol. 14, No. 2. (February 2004), pp. 165-173.</dc:source>
    <dc:date>2007-02-20T22:57:57-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Cereb Cortex</prism:publicationName>
    <prism:issn>1047-3211</prism:issn>
    <prism:volume>14</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>165</prism:startingPage>
    <prism:endingPage>173</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>intracranial_field_potentials</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/oamg/article/1115335">
    <title>Adult age differences in the functional neuroanatomy of visual attention: a combined fMRI and DTI study.</title>
    <link>http://www.citeulike.org/user/oamg/article/1115335</link>
    <description>&lt;i&gt;Neurobiol Aging, Vol. 28, No. 3. (March 2007), pp. 459-476.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We combined measures from event-related functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and cognitive performance (visual search response time) to test the hypotheses that differences between younger and older adults in top-down (goal-directed) attention would be related to cortical activation, and that white matter integrity as measured by DTI (fractional anisotropy, FA) would be a mediator of this age-related effect. Activation in frontal and parietal cortical regions was overall greater for older adults than for younger adults. The relation between activation and search performance suppor