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The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Cortical Folding Patterns and Predicting Cytoarchitecture

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Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B. T. T., Mohlberg, H., Amunts, K., Zilles, K.·2008·Cerebral Cortex
DOI 10.1093/cercor/bhm225PMC PMC2474454
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Abstract

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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Crossref · 10.1093/cercor/bhm225

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Figures

Figure 1. Image of a representative reconstructed histology dataset with the gray/white surface overlaid in yellow. Top: coronal, middle: sagittal, bottom: axial. The green crosses represent the locations of the manually selected control points in the body of the white matter for these slices. The red cross represents the point in common for the 3 views.
Figure 1. Image of a representative reconstructed histology dataset with the gray/white surface overlaid in yellow. Top: coronal, middle: sagittal, bottom: axial. The green crosses represent the locations of the manually selected control points in the body of the white matter for these slices. The red cross represents the point in common for the 3 views.CC BY-NC · PubMed Central
Figure 2. Spatial probability maps of different BAs. Top row: left hemisphere areas 17, 18, 4p, and 2 (from left to right). Second row: areas 4a, 6, 44, and 45. Third and fourth rows are same as first and second for the right hemisphere. Fifth row: color scale used for spatial probability maps.
Figure 2. Spatial probability maps of different BAs. Top row: left hemisphere areas 17, 18, 4p, and 2 (from left to right). Second row: areas 4a, 6, 44, and 45. Third and fourth rows are same as first and second for the right hemisphere. Fifth row: color scale used for spatial probability maps.CC BY-NC · PubMed Central
Figure 3. Cumulative histograms of surface (white) and nonlinear volume (black) accuracy. From left to right: top row: V1 and V2, second row: 4p and 2, third row: 4a and 6, fourth row: 44 and 45. Bottom: mean across the set of areas (left), black bars are standard errors of the mean, and ratio of surface to volume (right).
Figure 3. Cumulative histograms of surface (white) and nonlinear volume (black) accuracy. From left to right: top row: V1 and V2, second row: 4p and 2, third row: 4a and 6, fourth row: 44 and 45. Bottom: mean across the set of areas (left), black bars are standard errors of the mean, and ratio of surface to volume (right).CC BY-NC · PubMed Central
Figure 4. Box plot of the accuracy of the predicted location of the borders of a set of BAs as estimated by the average distance between boundaries of the corresponding areas in millimeter, using a modified Hausdorff distance (y-axis). The higher the accuracy, the lower the distance. Left: 8 BAs in the left hemisphere, right: 8 BAs in the right hemisphere. Blue boxes indicate the lower and upper quartiles; red lines are the medians. The lines extend to 1.5 times the interquartile spacing. Data points outside of the lines are outliers.
Figure 4. Box plot of the accuracy of the predicted location of the borders of a set of BAs as estimated by the average distance between boundaries of the corresponding areas in millimeter, using a modified Hausdorff distance (y-axis). The higher the accuracy, the lower the distance. Left: 8 BAs in the left hemisphere, right: 8 BAs in the right hemisphere. Blue boxes indicate the lower and upper quartiles; red lines are the medians. The lines extend to 1.5 times the interquartile spacing. Data points outside of the lines are outliers.CC BY-NC · PubMed Central

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Show all 56 references

Research works printed but not linked: 6

  1. 2007, PNAS, 108, 7652
  2. 1933, J PSYCHOL NEUROL, 45, 381
  3. 1988, COMP PRIMATE BIOL, 4, 39
  4. 1911, J PSYCHOL NEUROL, 18, 107
  5. 2004, Journal of Anatomy, 205, 217
  6. 1995, Journal of Anatomy, 187, 515

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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.
ORCID
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
DOI
10.1093/cercor/bhm225
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
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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