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Status: Unchecked ×Keyword: whole-brain parcellation ×Clear all

3 claims from 1 paper

1. Neuroscience › Functional Brain Connectivity Studies

   A whole brain fMRI atlas generated via spatially constrained spectral clustering

   Craddock, James, Holtzheimer, Hu and Mayberg · Human Brain Mapping · 2011

   The paper presents a data-driven method that splits whole-brain resting-state fMRI data into regions of similar connectivity, and compares the resulting atlases with anatomical atlases and a random parcellation.

   Unchecked3 claims
   Show 3 claims

   1. UncheckedIn this study, four anatomical brain atlases showed poorly uniform regions and did not accurately reproduce voxel-level resting-state connectivity patterns.“The evaluated anatomical atlases exhibit poor ROI homogeneity and do not accurately reproduce FC patterns present at the voxel scale.”
   2. UncheckedIn this study, the authors' data-driven functional parcellations and random parcellations performed about equally on most of the metrics evaluated.“In general, the proposed functional and random parcellations perform equivalently for most of the metrics evaluated.”
   3. UncheckedIn this study, the size of brain regions, and so how many a parcellation contains, mattered most for how well it suited functional connectivity analysis.“ROI size and hence the number of ROIs in a parcellation had the greatest impact on their suitability for FC analysis.”