2008
DOI: 10.1016/j.neuroimage.2008.01.066
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Defining functional areas in individual human brains using resting functional connectivity MRI

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… Show more

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Cited by 565 publications
(611 citation statements)
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References 66 publications
(86 reference statements)
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“…Functional MRI (fMRI) resting-state functional connectivity (RSFC) analysis (29) provides a unique means of mapping functional networks within complex brain regions in vivo (30)(31)(32)(33). The aim of the present study was to determine whether the patterns of anatomical connectivity in tract tracing studies of monkey PMC are preserved in RSFC data obtained in vivo, and whether they also reflect patterns observed in the human brain.…”
mentioning
confidence: 98%
“…Functional MRI (fMRI) resting-state functional connectivity (RSFC) analysis (29) provides a unique means of mapping functional networks within complex brain regions in vivo (30)(31)(32)(33). The aim of the present study was to determine whether the patterns of anatomical connectivity in tract tracing studies of monkey PMC are preserved in RSFC data obtained in vivo, and whether they also reflect patterns observed in the human brain.…”
mentioning
confidence: 98%
“…Parcellation analyses based on boundary mapping (Cohen et al, 2008; Glasser et al, 2016; Gordon et al, 2016; Gordon, Laumann, Gilmore, et al, 2017; Hirose et al, 2012, 2013, 2016; Laumann et al, 2015; Osada et al, 2017) were applied to the striatum (Figure 1). Each voxel in the striatum of each participant was used as a seed to calculate its correlations with the voxels in the gray matter of the cerebral cortex.…”
Section: Methodsmentioning
confidence: 99%
“…The cerebrocortical parcels were calculated in a similar manner, as described previously (Cohen et al, 2008; Gordon et al, 2016; Laumann et al, 2015; Supporting Information Figure S1). Each vertex in the fiducial surface in the cerebral cortex of each participant was used as a seed to calculate its correlations with all of the vertices.…”
Section: Methodsmentioning
confidence: 99%
“…In the last year there have been reports of techniques that allow single subject segmentation of the cortex into regions (V1, V2, V4
) based on and anatomical mapping (Cohen et al 2007, V J Wedeen 2008, Pathak, et al, 2008.…”
Section: Introductionmentioning
confidence: 99%