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Cortical folding patterns and predicting cytoarchitecture.

Cerebral cortex (New York, N.Y. : 1991) | 2008

The human cerebral cortex is made up of a mosaic of structural areas, frequently referred to as Brodmann areas (BAs). Despite the widespread use of cortical folding patterns to perform ad hoc estimations of the locations of the BAs, little is understood regarding 1) how variable the position of a given BA is with respect to the folds, 2) whether the location of some BAs is more variable than others, and 3) whether the variability is related to the level of a BA in a putative cortical hierarchy. We use whole-brain histology of 10 postmortem human brains and surface-based analysis to test how well the folds predict the locations of the BAs. We show that higher order cortical areas exhibit more variability than primary and secondary areas and that the folds are much better predictors of the BAs than had been previously thought. These results further highlight the significance of cortical folding patterns and suggest a common mechanism for the development of the folds and the cytoarchitectonic fields.

Pubmed ID: 18079129 RIS Download

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Associated grants

  • Agency: NCRR NIH HHS, United States
    Id: P41-RR14075
  • Agency: NIBIB NIH HHS, United States
    Id: R01EB006758
  • Agency: NIBIB NIH HHS, United States
    Id: U54 EB005149
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS052585-01
  • Agency: NIBIB NIH HHS, United States
    Id: R01 EB001550
  • Agency: NCRR NIH HHS, United States
    Id: R01 RR16594-01A1
  • Agency: NCRR NIH HHS, United States
    Id: U24 RR021382

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FreeSurfer (tool)

RRID:SCR_001847

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

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