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Cortical Folding Patterns and Predicting Cytoarchitecture
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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.
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“functional areal boundaries (see Parcellation Choice) of heteromodal association areas are variable with respect to sulcal and gyral anatomy (Fischl et al., 2008).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Fischl et al., 2008
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Metadata
- Authors
- Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B. T. T., Mohlberg, H., Amunts, K., & Zilles, K.
- Affiliations
- Harvard University (US)
- McGovern Institute for Brain Research (US)
- Massachusetts Institute of Technology (US)
- Forschungszentrum Jülich (DE)
- Corresponding author
- Fischl, B.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-12-12
- Volume
- 18
- Issue
- 8
- Pages
- 1973-1980
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC2474454
- OpenAlex
- W2154281919
- Cited by
- 737
- References
- 56
- Citations by year
- 2026: 18 · 2025: 22 · 2024: 34 · 2023: 38 · 2022: 45 · 2021: 58 · 2020: 52 · 2019: 44 · 2018: 55 · 2017: 56 · 2016: 41 · 2015: 40 · 2014: 32 · 2013: 48 · 2012: 42
- FWCI
- 19.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Cerebral Cortex (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- National Institutes of Health (BIRN002, RR14075, EB005149)
- National Institute of Mental Health
- National Institute of Neurological Disorders and Stroke (R01NS052585)
- National Institute of Biomedical Imaging and Bioengineering (R01EB001550, R01EB006758, U54EB005149)
- National Center for Research Resources (BIRN002, U24 RR021382, P41-RR-14075, RR 14075, U24RR021382, R01 RR1659401A1, R01-RR16594, P41RR014075, BIRN002, R01RR016594)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- cortical folding, Brodmann areas, cytoarchitecture, cortical hierarchy, cortical development, postmortem brain, surface-based analysis
- MeSH terms
- Brain Mapping, Cerebral Cortex, Humans, Predictive Value of Tests
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