Cerebral Cortex Advance Access originally published online on December 12, 2007
Cerebral Cortex 2008 18(8):1973-1980; doi:10.1093/cercor/bhm225
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Cortical Folding Patterns and Predicting Cytoarchitecture
1 Department of Radiology, Harvard Medical School, Charlestown, MA 02129, USA, 2 Division of Health Sciences and Technology and the Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, The Stata Center, Cambridge, MA 02139, USA, 3 Computer Science and AI Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA 02139, USA, 4 McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA, 5 Institute of Medicine (IME), Research Center Jülich, D-52428 Jülich, Germany, 6 Department of Psychiatry and Psychotherapy, Aachen Rheinisch-Westfälische Technische Hochschule University, 52074 Aachen, Germany, 7 C.&O. Vogt-Institut fur Hirnforschung, Heinrich Heine Universitat, D-40225 Dusseldorf, Germany
Address correspondence to Bruce Fischl, Athinoula A Martinos Center, Massachussetts General Hospital/Harvard Medical School, Buliding 149, 13th Street, Charlestown, MA 02129, USA. Email: fischl{at}nmr.mgh.harvard.edu.
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.
Key Words: cerebral cortex • macroscopic landmarks • microscopic architecture • morphometry
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