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<pubDate>Thu, 21 Aug 2008 16:07:46 BST</pubDate>


	<title>CiteULike: Author Balteau</title>
	<description>CiteULike: Author Balteau</description>


	<link>http://www.citeulike.org/author/Balteau</link>
	<dc:publisher>CiteULike.org</dc:publisher>
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	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
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        <rdf:li rdf:resource="http://www.citeulike.org/group/3138/article/1710008"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/kamilvlcek/article/2717522"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/apeyrache/article/1541610"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/sensesublime/article/1394771"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/y4su0/article/1367059"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/rsekuler/article/813733"/>

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<item rdf:about="http://www.citeulike.org/group/3138/article/1710008">
    <title>Baseline brain activity fluctuations predict somatosensory perception in humans.</title>
    <link>http://www.citeulike.org/group/3138/article/1710008</link>
    <description>&lt;i&gt;Proc Natl Acad Sci U S A, Vol. 104, No. 29. (17 July 2007), pp. 12187-12192.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;In perceptual experiments, within-individual fluctuations in perception are observed across multiple presentations of the same stimuli, a phenomenon that remains only partially understood. Here, by means of thulium-yttrium/aluminum-garnet laser and event-related functional MRI, we tested whether variability in perception of identical stimuli relates to differences in prestimulus, baseline brain activity. Results indicate a positive relationship between conscious perception of low-intensity somatosensory stimuli and immediately preceding levels of baseline activity in medial thalamus and the lateral frontoparietal network, respectively, which are thought to relate to vigilance and &#34;external monitoring.&#34; Conversely, there was a negative correlation between subsequent reporting of conscious perception and baseline activity in a set of regions encompassing posterior cingulate/precuneus and temporoparietal cortices, possibly relating to introspection and self-oriented processes. At nociceptive levels of stimulation, pain-intensity ratings positively correlated with baseline fluctuations in anterior cingulate cortex in an area known to be involved in the affective dimension of pain. These results suggest that baseline brain-activity fluctuations may profoundly modify our conscious perception of the external world.</description>
    <dc:title>Baseline brain activity fluctuations predict somatosensory perception in humans.</dc:title>

    <dc:creator>M Boly</dc:creator>
    <dc:creator>E Balteau</dc:creator>
    <dc:creator>C Schnakers</dc:creator>
    <dc:creator>C Degueldre</dc:creator>
    <dc:creator>G Moonen</dc:creator>
    <dc:creator>A Luxen</dc:creator>
    <dc:creator>C Phillips</dc:creator>
    <dc:creator>P Peigneux</dc:creator>
    <dc:creator>P Maquet</dc:creator>
    <dc:creator>S Laureys</dc:creator>
    <dc:identifier>doi:10.1073/pnas.0611404104</dc:identifier>
    <dc:source>Proc Natl Acad Sci U S A, Vol. 104, No. 29. (17 July 2007), pp. 12187-12192.</dc:source>
    <dc:date>2007-09-30T03:12:45-00:00</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>29</prism:number>
    <prism:startingPage>12187</prism:startingPage>
    <prism:endingPage>12192</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>resting-state</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/kamilvlcek/article/2717522">
    <title>Both the Hippocampus and Striatum Are Involved in Consolidation of Motor Sequence Memory</title>
    <link>http://www.citeulike.org/user/kamilvlcek/article/2717522</link>
    <description>&lt;i&gt;Neuron, Vol. 58, No. 2. (24 April 2008), pp. 261-272.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Summary Functional magnetic resonance imaging (fMRI) was used to investigate the cerebral correlates of motor sequence memory consolidation. Participants were scanned while training on an implicit oculomotor sequence learning task and during a single testing session taking place 30 min, 5 hr, or 24 hr later. During training, responses observed in hippocampus and striatum were linearly related to the gain in performance observed overnight, but not over the day. Responses in both structures were significantly larger at 24 hr than at 30 min or 5 hr. Additionally, the competitive interaction observed between these structures during training became cooperative overnight. These results stress the importance of both hippocampus and striatum in procedural memory consolidation. Responses in these areas during training seem to condition the overnight memory processing that is associated with a change in their functional interactions. These results show that both structures interact during motor sequence consolidation to optimize subsequent behavior.</description>
    <dc:title>Both the Hippocampus and Striatum Are Involved in Consolidation of Motor Sequence Memory</dc:title>

    <dc:creator>Geneviève Albouy</dc:creator>
    <dc:creator>Virginie Sterpenich</dc:creator>
    <dc:creator>Evelyne Balteau</dc:creator>
    <dc:creator>Gilles Vandewalle</dc:creator>
    <dc:creator>Martin Desseilles</dc:creator>
    <dc:creator>Thanh Dang-Vu</dc:creator>
    <dc:creator>Annabelle Darsaud</dc:creator>
    <dc:creator>Perrine Ruby</dc:creator>
    <dc:creator>Pierre-Hervé Luppi</dc:creator>
    <dc:creator>Christian Degueldre</dc:creator>
    <dc:creator>Philippe Peigneux</dc:creator>
    <dc:creator>André Luxen</dc:creator>
    <dc:creator>Pierre Maquet</dc:creator>
    <dc:identifier>doi:10.1016/j.neuron.2008.02.008</dc:identifier>
    <dc:source>Neuron, Vol. 58, No. 2. (24 April 2008), pp. 261-272.</dc:source>
    <dc:date>2008-04-25T12:12:01-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:volume>58</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>261</prism:startingPage>
    <prism:endingPage>272</prism:endingPage>
    <prism:category>consolidation</prism:category>
    <prism:category>hippocampus</prism:category>
    <prism:category>memory</prism:category>
    <prism:category>striatum</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/apeyrache/article/1541610">
    <title>Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep</title>
    <link>http://www.citeulike.org/user/apeyrache/article/1541610</link>
    <description>&lt;i&gt;PNAS, Vol. 104, No. 32. (7 August 2007), pp. 13164-13169.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;In humans, some evidence suggests that there are two different types of spindles during sleep, which differ by their scalp topography and possibly some aspects of their regulation. To test for the existence of two different spindle types, we characterized the activity associated with slow (1113 Hz) and fast (1315 Hz) spindles, identified as discrete events during non-rapid eye movement sleep, in non-sleep-deprived human volunteers, using simultaneous electroencephalography and functional MRI. An activation pattern common to both spindle types involved the thalami, paralimbic areas (anterior cingulate and insular cortices), and superior temporal gyri. No thalamic difference was detected in the direct comparison between slow and fast spindles although some thalamic areas were preferentially activated in relation to either spindle type. Beyond the common activation pattern, the increases in cortical activity differed significantly between the two spindle types. Slow spindles were associated with increased activity in the superior frontal gyrus. In contrast, fast spindles recruited a set of cortical regions involved in sensorimotor processing, as well as the mesial frontal cortex and hippocampus. The recruitment of partially segregated cortical networks for slow and fast spindles further supports the existence of two spindle types during human non-rapid eye movement sleep, with potentially different functional significance. 10.1073/pnas.0703084104</description>
    <dc:title>Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep</dc:title>

    <dc:creator>M Schabus</dc:creator>
    <dc:creator>TT Dang-Vu</dc:creator>
    <dc:creator>G Albouy</dc:creator>
    <dc:creator>E Balteau</dc:creator>
    <dc:creator>M Boly</dc:creator>
    <dc:creator>J Carrier</dc:creator>
    <dc:creator>A Darsaud</dc:creator>
    <dc:creator>C Degueldre</dc:creator>
    <dc:creator>M Desseilles</dc:creator>
    <dc:creator>S Gais</dc:creator>
    <dc:creator>C Phillips</dc:creator>
    <dc:creator>G Rauchs</dc:creator>
    <dc:creator>C Schnakers</dc:creator>
    <dc:creator>V Sterpenich</dc:creator>
    <dc:creator>G Vandewalle</dc:creator>
    <dc:creator>A Luxen</dc:creator>
    <dc:creator>P Maquet</dc:creator>
    <dc:identifier>doi:10.1073/pnas.0703084104</dc:identifier>
    <dc:source>PNAS, Vol. 104, No. 32. (7 August 2007), pp. 13164-13169.</dc:source>
    <dc:date>2007-08-07T17:37:19-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>PNAS</prism:publicationName>
    <prism:volume>104</prism:volume>
    <prism:number>32</prism:number>
    <prism:startingPage>13164</prism:startingPage>
    <prism:endingPage>13169</prism:endingPage>
    <prism:category>human</prism:category>
    <prism:category>spindles</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/sensesublime/article/1394771">
    <title>Distinct Regions of the Medial Prefrontal Cortex Are Associated with Self-referential Processing and Perspective Taking</title>
    <link>http://www.citeulike.org/user/sensesublime/article/1394771</link>
    <description>&lt;i&gt;J. Cogn. Neurosci., Vol. 19, No. 6. (1 June 2007), pp. 935-944.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The medial prefrontal cortex (MPFC) appears to play a prominent role in two fundamental aspects of social cognition, that is, self-referential processing and perspective taking. However, it is currently unclear whether the same or different regions of the MPFC mediate these two interdependent processes. This functional magnetic resonance imaging study sought to clarify the issue by manipulating both dimensions in a factorial design. Participants judged the extent to which trait adjectives described their own personality (e.g., &#34;Are you sociable?&#34;) or the personality of a close friend (e.g., &#34;Is Caroline sociable?&#34;) and were also asked to put themselves in the place of their friend (i.e., to take a third-person perspective) and estimate how this person would judge the adjectives, with the target of the judgments again being either the self (e.g., &#34;According to Caroline, are you sociable?&#34;) or the other person (e.g., &#34;According to Caroline, is she sociable?&#34;). We found that self-referential processing (i.e., judgments targeting the self vs. the other person) yielded activation in the ventral and dorsal anterior MPFC, whereas perspective taking (i.e., adopting the other person's perspective, rather than one's own, when making judgments) resulted in activation in the posterior dorsal MPFC; the interaction between the two dimensions yielded activation in the left dorsal MPFC. These findings show that self-referential processing and perspective taking recruit distinct regions of the MPFC and suggest that the left dorsal MPFC may be involved in decoupling one's own from other people's perspectives on the self.</description>
    <dc:title>Distinct Regions of the Medial Prefrontal Cortex Are Associated with Self-referential Processing and Perspective Taking</dc:title>

    <dc:creator>Arnaud D'Argembeau</dc:creator>
    <dc:creator>Perrine Ruby</dc:creator>
    <dc:creator>Fabienne Collette</dc:creator>
    <dc:creator>Christian Degueldre</dc:creator>
    <dc:creator>Evelyne Balteau</dc:creator>
    <dc:creator>Andre Luxen</dc:creator>
    <dc:creator>Pierre Maquet</dc:creator>
    <dc:creator>Eric Salmon</dc:creator>
    <dc:source>J. Cogn. Neurosci., Vol. 19, No. 6. (1 June 2007), pp. 935-944.</dc:source>
    <dc:date>2007-06-17T04:30:09-00:00</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>935</prism:startingPage>
    <prism:endingPage>944</prism:endingPage>
    <prism:category>fmri</prism:category>
    <prism:category>needpdf</prism:category>
    <prism:category>perspectivetaking</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/y4su0/article/1367059">
    <title>Nonvisual Responses to Light Exposure in the Human Brain during the Circadian Night</title>
    <link>http://www.citeulike.org/user/y4su0/article/1367059</link>
    <description>&lt;i&gt;Current Biology, Vol. 14, No. 20. (26 October 2004), pp. 1842-1846.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The brain processes light information to visually represent the environment but also to detect changes in ambient light level. The latter information induces non-image-forming responses and exerts powerful effects on physiology such as synchronization of the circadian clock and suppression of melatonin [, and ]. In rodents, irradiance information is transduced from a discrete subset of photosensitive retinal ganglion cells via the retinohypothalamic tract to various hypothalamic and brainstem regulatory structures including the hypothalamic suprachiasmatic nuclei, the master circadian pacemaker [, and ]. In humans, light also acutely modulates alertness [ and ], but the cerebral correlates of this effect are unknown. We assessed regional cerebral blood flow in 13 subjects attending to auditory and visual stimuli in near darkness following light exposures (&#62;8000 lux) of different durations (0.5, 17, 16.5, and 0 min) during the biological night. The bright broadband polychromatic light suppressed melatonin and enhanced alertness. Functional imaging revealed that a large-scale occipito-parietal attention network, including the right intraparietal sulcus, was more active in proportion to the duration of light exposures preceding the scans. Activity in the hypothalamus decreased in proportion to previous illumination. These findings have important implications for understanding the effects of light on human behavior.</description>
    <dc:title>Nonvisual Responses to Light Exposure in the Human Brain during the Circadian Night</dc:title>

    <dc:creator>Fabien Perrin</dc:creator>
    <dc:creator>Philippe Peigneux</dc:creator>
    <dc:creator>Sonia Fuchs</dc:creator>
    <dc:creator>Stephane Verhaeghe</dc:creator>
    <dc:creator>Steven Laureys</dc:creator>
    <dc:creator>Benita Middleton</dc:creator>
    <dc:creator>Christian Degueldre</dc:creator>
    <dc:creator>Guy Del Fiore</dc:creator>
    <dc:creator>Gilles Vandewalle</dc:creator>
    <dc:creator>Evelyne Balteau</dc:creator>
    <dc:creator>Robert Poirrier</dc:creator>
    <dc:creator>Vincent Moreau</dc:creator>
    <dc:creator>Andre Luxen</dc:creator>
    <dc:creator>Pierre Maquet</dc:creator>
    <dc:creator>Derk-Jan Dijk</dc:creator>
    <dc:source>Current Biology, Vol. 14, No. 20. (26 October 2004), pp. 1842-1846.</dc:source>
    <dc:date>2007-06-06T00:58:57-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Current Biology</prism:publicationName>
    <prism:volume>14</prism:volume>
    <prism:number>20</prism:number>
    <prism:startingPage>1842</prism:startingPage>
    <prism:endingPage>1846</prism:endingPage>
    <prism:category>circadian</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/rsekuler/article/813733">
    <title>Daytime light exposure dynamically enhances brain responses.</title>
    <link>http://www.citeulike.org/user/rsekuler/article/813733</link>
    <description>&lt;i&gt;Curr Biol, Vol. 16, No. 16. (22 August 2006), pp. 1616-1621.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;In humans, light enhances both alertness and performance during nighttime and daytime and influences regional brain function . These effects do not correspond to classical visual responses but involve a non-image forming (NIF) system, which elicits greater endocrine, physiological, neurophysiological, and behavioral responses to shorter light wavelengths than to wavelengths geared toward the visual system . During daytime, the neural changes induced by light exposure, and their time courses, are largely unknown. With functional magnetic resonance imaging (fMRI), we characterized the neural correlates of the alerting effect of daytime light by assessing the responses to an auditory oddball task , before and after a short exposure to a bright white light. Light-induced improvement in subjective alertness was linearly related to responses in the posterior thalamus. In addition, light enhanced responses in a set of cortical areas supporting attentional oddball effects, and it prevented decreases of activity otherwise observed during continuous darkness. Responses to light were remarkably dynamic. They declined within minutes after the end of the light stimulus, following various region-specific time courses. These findings suggest that light can modulate activity of subcortical structures involved in alertness, thereby dynamically promoting cortical activity in networks involved in ongoing nonvisual cognitive processes.</description>
    <dc:title>Daytime light exposure dynamically enhances brain responses.</dc:title>

    <dc:creator>G Vandewalle</dc:creator>
    <dc:creator>E Balteau</dc:creator>
    <dc:creator>C Phillips</dc:creator>
    <dc:creator>C Degueldre</dc:creator>
    <dc:creator>V Moreau</dc:creator>
    <dc:creator>V Sterpenich</dc:creator>
    <dc:creator>G Albouy</dc:creator>
    <dc:creator>A Darsaud</dc:creator>
    <dc:creator>M Desseilles</dc:creator>
    <dc:creator>TT Dang-Vu</dc:creator>
    <dc:creator>P Peigneux</dc:creator>
    <dc:creator>A Luxen</dc:creator>
    <dc:creator>DJ Dijk</dc:creator>
    <dc:creator>P Maquet</dc:creator>
    <dc:identifier>doi:10.1016/j.cub.2006.06.031</dc:identifier>
    <dc:source>Curr Biol, Vol. 16, No. 16. (22 August 2006), pp. 1616-1621.</dc:source>
    <dc:date>2006-08-23T12:52:17-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Curr Biol</prism:publicationName>
    <prism:issn>0960-9822</prism:issn>
    <prism:volume>16</prism:volume>
    <prism:number>16</prism:number>
    <prism:startingPage>1616</prism:startingPage>
    <prism:endingPage>1621</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>auditory</prism:category>
    <prism:category>fmri</prism:category>
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