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Cited by 378

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

A Four-Dimensional Probabilistic Atlas of the Human Brain

Open access
Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., Holmes, C., Collins, L., Thompson, P., MacDonald, D., Iacoboni, M., Schormann, T., Amunts, K., Palomero-Gallagher, N., Geyer, S., Parsons, L., Narr, K., Kabani, N., Le Goualher, G., Feidler, J., Smith, K., Boomsma, D., Pol, H. H., Cannon, T., Kawashima, R., Mazoyer, B.·2001·Journal of the American Medical Informatics Association

Abstract

The authors describe the development of a four-dimensional atlas and reference system that includes both macroscopic and microscopic information on structure and function of the human brain in persons between the ages of 18 and 90 years. Given the presumed large but previously unquantified degree of structural and functional variance among normal persons in the human population, the basis for this atlas and reference system is probabilistic. Through the efforts of the International Consortium for Brain Mapping (ICBM), 7,000 subjects will be included in the initial phase of database and atlas development. For each subject, detailed demographic, clinical, behavioral, and imaging information is being collected. In addition, 5,800 subjects will contribute DNA for the purpose of determining genotype- phenotype-behavioral correlations. The process of developing the strategies, algorithms, data collection methods, validation approaches, database structures, and distribution of results is described in this report. Examples of applications of the approach are described for the normal brain in both adults and children as well as in patients with schizophrenia. This project should provide new insights into the relationship between microscopic and macroscopic structure and function in the human brain and should have important implications in basic neuroscience, clinical diagnostics, and cerebral disorders.

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Crossref · 10.1136/jamia.2001.0080401

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Metadata

Authors
Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., Holmes, C., Collins, L., Thompson, P., MacDonald, D., Iacoboni, M., Schormann, T., Amunts, K., Palomero-Gallagher, N., Geyer, S., Parsons, L., Narr, K., Kabani, N., Le Goualher, G., Feidler, J., Smith, K., Boomsma, D., Pol, H. H., Cannon, T., Kawashima, R., & Mazoyer, B.
Venue
Journal of the American Medical Informatics Association
Published
2001-09-01
Volume
8
Issue
5
Pages
401-430
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W2171191802
Cited by
378
References
15
FWCI
4.01
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A Four-Dimensional Probabilistic Atlas of the Human Brain. https://app.cochat.ai/papers/10.1136/jamia.2001.0080401
The paper
Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., Holmes, C., Collins, L., Thompson, P., MacDonald, D., Iacoboni, M., Schormann, T., Amunts, K., Palomero-Gallagher, N., Geyer, S., . . . Mazoyer, B. (2001). A Four-Dimensional Probabilistic Atlas of the Human Brain. Journal of the American Medical Informatics Association. https://doi.org/10.1136/jamia.2001.0080401

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.