The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Data from these projects have been extensively used in the development of neuroimaging tools, such as brain atlases 3,4 , tissue segmentation algorithms 5 , and de-identification tools 6 , used to create models of healthy aging 7,8 and AD timecourse 7-11 , used to answer hypothesis driven questions 12,13 , and used for educational and training purposes.”
From OASIS-3: Longitudinal Neuroimaging, Clinical, and Cognitive Dataset for Normal Aging and Alzheimer Disease (2019) · cites this paper as [4]
Citations
Cites
Control of goal-directed and stimulus-driven attention in the brain
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
(1909) · Cited by 2,575
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
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851
Flagged first, then by citations
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
Cited by
Sorted by citations
Items 101–112 of 112
Wig, G. S., Buckner, R. L., & Schacter, D. L. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91213.2008 · Cited by 62
Controllability Modulates the Anticipatory Response in the Human Ventromedial Prefrontal Cortex
Kerr, D. L., McLaren, D. G., Mathy, R. M., & Nitschke, J. B. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00557 · Cited by 61
The functional neuroanatomy of multitasking: Combining dual tasking with a short term memory task
Deprez, S., Vandenbulcke, M., Peeters, R., Emsell, L., Amant, F., & Sunaert, S. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.07.024 · Cited by 52
Reduced left lateralization of language in congenitally blind individuals
Lane, C., Kanjlia, S., Richardson, H., Fulton, A., Omaki, A., & Bedny, M. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01045 · Cited by 58
Autobiographical planning and the brain: activation and its modulation by qualitative features
Spreng, R. N., Gerlach, K. D., Turner, G. R., & Schacter, D. L. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00846 · Cited by 52
Analysis of cortical shape in children with simplex autism
Dierker, D. L., Feczko, E., Pruett, J. R., Petersen, S. E., Schlaggar, B. L., Constantino, J. N., Harwell, J. W., Coalson, T. S., & Van Essen, D. C. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht294 · Cited by 50
Self-citationLu, Y.-C., Andescavage, N., Wu, Y., Kapse, K., Andersen, N. R., Quistorff, J., Saeed, H., Lopez, C., Henderson, D., Barnett, S. D., et al. (2022) · Communications Medicine · doi:10.1038/s43856-022-00111-w · Cited by 46
Time is body: multimodal evidence of crosstalk between interoception and time estimation
Richter, F., & Ibáñez, A. (2021) · Biological Psychology · doi:10.1016/j.biopsycho.2021.108017 · Cited by 40
Tian, L., Meng, C., Yan, H., Zhao, Q., Liu, Q., Yan, J., Han, Y., Yuan, H., Wang, L., Yue, W., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028794 · Cited by 44
Xue, G., Mei, L., Chen, C., Lu, Z.-L., Poldrack, R. A., & Dong, Q. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013204 · Cited by 43
Lists with and without syntax: a new approach to measuring the neural processing of syntax
Law, R., & Pylkkänen, L. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1179-20.2021 · Cited by 37
“…by combining the angular gyrus (Brodmann area 39) and adjacent supramarginal gyrus (Brodmann area 40) labels from the “PALS-B12-Brodmann” atlas (Van Essen, 2005), while left and right ORBs were generated by combining lateral and medial orbitofrontal labels from the “aparc” atlas (Desikan et al.,…”
Neural mechanisms of the spacing effect in episodic memory: A parallel EEG and fMRI study
Zhao, X., Wang, C., Liu, Q., Xiao, X., Jiang, T., Chen, C., & Xue, G. (2015) · Cortex · doi:10.1016/j.cortex.2015.04.002 · Cited by 33
Metadata
- 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)
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
