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Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation.

Abstract：

:The organization of the cerebral cortex into distinct modules may be described along several dimensions, most importantly, structure, connectivity and function. Identification of cortical modules by differences in whole-brain connectivity profiles derived from diffusion tensor imaging or resting state correlations has already been shown. These approaches, however, carry no task-related information. Hence, inference on the functional relevance of the ensuing parcellation remains tentative. Here, we demonstrate, that Meta-Analytic Connectivity Modeling (MACM) allows the delineation of cortical modules based on their whole-brain co-activation pattern across databased neuroimaging results. Using a model free approach, two regions of the medial pre-motor cortex, SMA and pre-SMA were differentiated solely based on their functional connectivity. Assessing the behavioral domain and paradigm class meta-data of the experiments associated with the clusters derived from the co-activation based parcellation moreover allows the identification of their functional characteristics. The ensuing hypotheses about functional differentiation and distinct functional connectivity between pre-SMA and SMA were then explicitly tested and confirmed in independent datasets using functional and resting state fMRI. Co-activation based parcellation thus provides a new perspective for identifying modules of functional connectivity and linking them to functional properties, hereby generating new and subsequently testable hypotheses about the organization of cortical modules.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Eickhoff SB,Bzdok D,Laird AR,Roski C,Caspers S,Zilles K,Fox PT

doi

10.1016/j.neuroimage.2011.05.021

subject

Has Abstract

pub_date

2011-08-01 00:00:00

pages

938-49

issue

3

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(11)00509-X

journal_volume

57

pub_type

杂志文章

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