A Four-Dimensional Probabilistic Atlas of the Human Brain

J.C. Mazziotta(Heinrich Heine University Düsseldorf), Arthur W. Toga(University of California, San Francisco), Alan C. Evans(Tohoku University), Peter T. Fox(University of California, San Francisco), Jack L. Lancaster(Mitre (United States)), Karl Zilles(Tohoku University), Roger P. Woods(Heinrich Heine University Düsseldorf), Tomáš Paus(Forschungszentrum Jülich), G. W. SIMPSON(University of California, San Francisco), G. Bruce Pike(Vrije Universiteit Amsterdam), Chris Holmes(Forschungszentrum Jülich), D. Louis Collins(McGill University), Paul M. Thompson(University of California, Los Angeles), Danielle A. Macdonald(Tohoku University), Marco Iacoboni(University of California, San Francisco), Thorsten Schormann(Forschungszentrum Jülich), Katrin Amunts(Mitre (United States)), Nicola Palomero‐Gallagher(The University of Texas at San Antonio), Stefan Geyer(Mitre (United States)), Lawrence M. Parsons(Tohoku University), Katherine L. Narr(The University of Texas at San Antonio), Noor Jehan Kabani(Université de Caen Normandie), Georges Le Goualher(The University of Texas at San Antonio), Jordan C. Feidler(Mitre (United States)), Kenny Smith(Forschungszentrum Jülich), Dorret I. Boomsma(Heinrich Heine University Düsseldorf), Hilleke E. Hulshoff Pol(University Medical Center Utrecht), Tyrone D. Cannon(Forschungszentrum Jülich), Ryuta Kawashima(University of California, San Francisco), Bernard Mazoyer(The University of Texas at San Antonio)
Journal of the American Medical Informatics Association
September 1, 2001
Cited by 391Open Access
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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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