Defining functional areas in individual human brains using resting functional connectivity MRI. Export

@article{citeulike:2693783, abstract = {The cerebral cortex is anatomically organized at many physical scales starting at the level of single neurons and extending up to functional systems. Current functional magnetic resonance imaging (fMRI) studies often focus at the level of areas, networks, and systems. Except in restricted domains, (e.g., topographically-organized sensory regions), it is difficult to determine area boundaries in the human brain using fMRI. The ability to delineate functional areas non-invasively would enhance the quality of many experimental analyses allowing more accurate across-subject comparisons of independently identified functional areas. Correlations in spontaneous BOLD activity, often referred to as resting state functional connectivity (rs-fcMRI), are especially promising as a way to accurately localize differences in patterns of activity across large expanses of cortex. In the current report, we applied a novel set of image analysis tools to explore the utility of rs-fcMRI for defining wide-ranging functional area boundaries. We find that rs-fcMRI patterns show sharp transitions in correlation patterns and that these putative areal boundaries can be reliably detected in individual subjects as well as in group data. Additionally, combining surface-based analysis techniques with image processing algorithms allows automated mapping of putative areal boundaries across large expanses of cortex without the need for prior information about a region's function or topography. Our approach reliably produces maps of bounded regions appropriate in size and number for putative functional areas. These findings will hopefully stimulate further methodological refinements and validations.}, address = {Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.}, author = {Cohen, Alexander L L. and Fair, Damien A A. and Dosenbach, Nico U F U. and Miezin, Francis M M. and Dierker, Donna and Van Essen, David C C. and Schlaggar, Bradley L L. and Petersen, Steven E E.}, citeulike-article-id = {2693783}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.neuroimage.2008.01.066}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18367410}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18367410}, citeulike-linkout-3 = {http://www.scopus.com/record/display.url?view=extended&origin=resultslist&eid=2-s2.0-42649084678}, citeulike-linkout-4 = {http://www.sciencedirect.com/science/article/B6WNP-4RVVHM3-1/1/074f9fd213ad961f00587a2e5e319700}, day = {24}, doi = {10.1016/j.neuroimage.2008.01.066}, issn = {1053-8119}, journal = {NeuroImage}, keywords = {fmri, functional\_connectivity, functional\_imaging}, month = {March}, posted-at = {2008-11-16 21:05:20}, priority = {4}, title = {Defining functional areas in individual human brains using resting functional connectivity MRI.}, url = {http://dx.doi.org/10.1016/j.neuroimage.2008.01.066}, year = {2008} }

TY - JOUR ID - citeulike:2693783 L3 - citeulike-article-id:2693783 N2 - The cerebral cortex is anatomically organized at many physical scales starting at the level of single neurons and extending up to functional systems. Current functional magnetic resonance imaging (fMRI) studies often focus at the level of areas, networks, and systems. Except in restricted domains, (e.g., topographically-organized sensory regions), it is difficult to determine area boundaries in the human brain using fMRI. The ability to delineate functional areas non-invasively would enhance the quality of many experimental analyses allowing more accurate across-subject comparisons of independently identified functional areas. Correlations in spontaneous BOLD activity, often referred to as resting state functional connectivity (rs-fcMRI), are especially promising as a way to accurately localize differences in patterns of activity across large expanses of cortex. In the current report, we applied a novel set of image analysis tools to explore the utility of rs-fcMRI for defining wide-ranging functional area boundaries. We find that rs-fcMRI patterns show sharp transitions in correlation patterns and that these putative areal boundaries can be reliably detected in individual subjects as well as in group data. Additionally, combining surface-based analysis techniques with image processing algorithms allows automated mapping of putative areal boundaries across large expanses of cortex without the need for prior information about a region's function or topography. Our approach reliably produces maps of bounded regions appropriate in size and number for putative functional areas. These findings will hopefully stimulate further methodological refinements and validations. JF - NeuroImage SN - 1053-8119 AD - Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA. TI - Defining functional areas in individual human brains using resting functional connectivity MRI. KW - fmri KW - functional_connectivity KW - functional_imaging AU - Cohen, Alexander L AU - Fair, Damien A AU - Dosenbach, Nico U F AU - Miezin, Francis M AU - Dierker, Donna AU - Van Essen, David C AU - Schlaggar, Bradley L AU - Petersen, Steven E PY - 2008/03/24/ UR - http://dx.doi.org/10.1016/j.neuroimage.2008.01.066 ER -