Cited by 1,151Medical Image Segmentation TechniquesFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

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A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex

Van Essen, David C.·2005·NeuroImage

DOI 10.1016/j.neuroimage.2005.06.058

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Abstract

This report describes a new electronic atlas of human cerebral cortex that provides a substrate for a wide variety of brain-mapping analyses. The Population-Average, Landmark- and Surface-based (PALS) atlas approach involves surface-based and volume-based representations of cortical shape, each available as population averages and as individual subject data. The specific PALS-B12 atlas introduced here is derived from structural MRI volumes of 12 normal young adults. Accurate cortical surface reconstructions were generated for each hemisphere, and the surfaces were inflated, flattened, and mapped to standard spherical configurations using SureFit and Caret software. A target atlas sphere was generated by averaging selected landmark contours from each of the 24 contributing hemispheres. Each individual hemisphere was deformed to this target using landmark-constrained surface registration. The utility of the resultant PALS-B12 atlas was demonstrated using a variety of analyses. (i) Probabilistic maps of sulcal identity were generated using both surface-based registration (SBR) and conventional volume-based registration (VBR). The SBR approach achieved markedly better consistency of sulcal alignment than did VBR. (ii) A method is introduced for 'multi-fiducial mapping' of volume-averaged group data (e.g., fMRI data, probabilistic architectonic maps) onto each individual hemisphere in the atlas, followed by spatial averaging across the individual maps. This yielded a population-average surface representation that circumvents the biases inherent in choosing any single hemisphere as a target. (iii) Surface-based and volume-based morphometry applied to maps of sulcal depth and sulcal identity demonstrated prominent left-right asymmetries in and near the superior temporal sulcus and Sylvian fissure. Moreover, shape variability in the temporal lobe is significantly greater in the left than the right hemisphere. The PALS-B12 atlas has been registered to other surface-based atlases to facilitate interchange of data and comparison across atlases. All data sets in the PALS-B12 atlas are accessible via the SumsDB database for online and offline visualization and analysis.

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Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
Preface: Cerebral Cortex Has Come of Age
Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,483
Untitled work
(1909) · Cited by 2,575
A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)
Mazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. T., Lancaster, J. L., Zilles, K., Woods, R. P., Paus, T., Simpson, G. V., Pike, G. B., et al. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,417
Thinning of the Cerebral Cortex in Aging
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Show all 67 references

Research works printed but not linked: 2

Nordahl, C.W., Mostafavi, I., Hanlon, D., Amaral, D.G., VanEssen, D.C., in press. Cortical shape analyses in low functioning autism. International Meeting for Autism Research. Boston, MA.
Van Essen, 2004, Differences in cortical shape in Williams syndrome subjects compared to normal humans revealed by surface-based analysis, Soc. Neurosci. Abstr., 30, 239.12

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Authors: Van Essen, D. C.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2005-11
Volume: 28
Issue: 3
Pages: 635-662
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2005.06.058
OpenAlex: W2138173706
Cited by: 1,151
References: 67
Citations by year: 2026: 24 · 2025: 24 · 2024: 27 · 2023: 25 · 2022: 27 · 2021: 41 · 2020: 31 · 2019: 51 · 2018: 60 · 2017: 61 · 2016: 83 · 2015: 76 · 2014: 77 · 2013: 85 · 2012: 99
FWCI: 47.22
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Funders: National Institute of Mental Health (R01 MH60974, R01MH060974)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: human cerebral cortex, cortical surface reconstruction, sulcal depth, hemispheric lateralization, superior temporal sulcus, Sylvian fissure
MeSH terms: Adolescent, Adult, Algorithms, Atlases as Topic, Brain Mapping, Cerebral Cortex, Data Interpretation, Statistical, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Population, Reference Values, Models, Statistical, Databases, Factual

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A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex

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