TY - JOUR
T1 - An approach for parcellating human cortical areas using resting-state correlations
AU - Wig, Gagan S.
AU - Laumann, Timothy O.
AU - Petersen, Steven E.
N1 - Funding Information:
We thank Alex Cohen, Steven Nelson, Jonathan Power, and Brad Schlaggar for thoughtful discussions and feedback throughout much of this work. We also thank Malcolm Tobias, Avi Snyder, Matt Glasser, and Babatunde Adeyemo for technical support and assistance. This work was supported by a McDonnell Foundation Collaborative Action Award , NIH ( 32979 , 46424 , 61144 ) and the Human Connectome Project ( 1U54MH091657 ) from the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research .
Publisher Copyright:
© 2013 Elsevier Inc.
PY - 2014/6/1
Y1 - 2014/6/1
N2 - Resting State Functional Connectivity (RSFC) reveals properties related to the brain's underlying organization and function. Features related to RSFC signals, such as the locations where the patterns of RSFC exhibit abrupt transitions, can be used to identify putative boundaries between cortical areas (RSFC-Boundary Mapping). The locations of RSFC-based area boundaries are consistent across independent groups of subjects. RSFC-based parcellation converges with parcellation information from other modalities in many locations, including task-evoked activity and probabilistic estimates of cellular architecture, providing evidence for the ability of RSFC to parcellate brain structures into functionally meaningful units. We not only highlight a collection of these observations, but also point out several limitations and observations that mandate careful consideration in using and interpreting RSFC for the purposes of parcellating the brain's cortical and subcortical structures.
AB - Resting State Functional Connectivity (RSFC) reveals properties related to the brain's underlying organization and function. Features related to RSFC signals, such as the locations where the patterns of RSFC exhibit abrupt transitions, can be used to identify putative boundaries between cortical areas (RSFC-Boundary Mapping). The locations of RSFC-based area boundaries are consistent across independent groups of subjects. RSFC-based parcellation converges with parcellation information from other modalities in many locations, including task-evoked activity and probabilistic estimates of cellular architecture, providing evidence for the ability of RSFC to parcellate brain structures into functionally meaningful units. We not only highlight a collection of these observations, but also point out several limitations and observations that mandate careful consideration in using and interpreting RSFC for the purposes of parcellating the brain's cortical and subcortical structures.
UR - http://www.scopus.com/inward/record.url?scp=84911893441&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2013.07.035
DO - 10.1016/j.neuroimage.2013.07.035
M3 - Review article
C2 - 23876247
AN - SCOPUS:84911893441
VL - 93
SP - 276
EP - 291
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
ER -