Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences
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A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)

John Mazziotta

John Mazziotta

Ahmanson-Lovelace Brain Mapping Center, UCLA School of Medicine, 660 Charles E. Young Drive, South Los AngelesCA 90095, USA

[email protected]

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Arthur Toga

Arthur Toga

Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, 710 Westwood Blvd, Lost Angeles, CA 90095, USA

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Alan Evans

Alan Evans

McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada

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Peter Fox

Peter Fox

Research Imaging Center, University of Texas Health Sciences Center at San Antonio, 7703 Floyd Curl Drive, San Antonio TX 78284, USA

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Jack Lancaster

Jack Lancaster

Research Imaging Center, University of Texas Health Sciences Center at San Antonio, 7703 Floyd Curl Drive, San Antonio TX 78284, USA

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Karl Zilles

Karl Zilles

University Duesseldorf, Vogt Brain Research Institute, P.O. Box 10 10 07, Duesseldorf D-40001, Germany

Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohuku University, 4-1 Seiryomachi Aobaku, Sendai 980-9575, Japan

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Roger Woods

Roger Woods

Ahmanson-Lovelace Brain Mapping Center, UCLA School of Medicine, 660 Charles E. Young Drive, South Los AngelesCA 90095, USA

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Tomas Paus

Tomas Paus

McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada

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Gregory Simpson

Gregory Simpson

Dynamic NeuroImaging Laboratory, UCSF, Department of Radiology, Box 0628, San Francisco, CA 94143, USA

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Bruce Pike

Bruce Pike

McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada

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Colin Holmes

Colin Holmes

SGI, 43L-525, 1600 Amphitheatre Pkwy, Mountain View, CA 94043-1352, USA

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Louis Collins

Louis Collins

McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada

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Paul Thompson

Paul Thompson

Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, 710 Westwood Blvd, Lost Angeles, CA 90095, USA

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David MacDonald

David MacDonald

McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada

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Marco Iacoboni

Marco Iacoboni

Ahmanson-Lovelace Brain Mapping Center, UCLA School of Medicine, 660 Charles E. Young Drive, South Los AngelesCA 90095, USA

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Thorsten Schormann

Thorsten Schormann

Institut für Neuroanatomie und C. und O., Vogt Institut für Hirnforschung, Heinrich-Heine-Universität, Postfach 101007, D-40001, Düsseldorf, Germany

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Katrin Amunts

Katrin Amunts

Institut für Medizin, Forschungszentrum Jülich und Institut für Neuroanatomie, Heinrich-Heine-Universität, Postfach 101007, D-40001, Düsseldorf, Germany

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Nicola Palomero-Gallagher

Nicola Palomero-Gallagher

Institute of Medicine, Research Centre, Jüich, D-52425, Germany

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Stefan Geyer

Stefan Geyer

Institute of Neuroanatomy, Heinrich Heine University, Mooren str. 5,D-40225 Düsserldofr, Germany

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Larry Parsons

Larry Parsons

Research Imaging Center, University of Texas Health Sciences Center at San Antonio, 7703 Floyd Curl Drive, San Antonio TX 78284, USA

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Katherine Narr

Katherine Narr

Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, 710 Westwood Blvd, Lost Angeles, CA 90095, USA

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Noor Kabani

Noor Kabani

McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada

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Georges Le Goualher

Georges Le Goualher

McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada

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Dorret Boomsma

Dorret Boomsma

Vrije Universiteit, Department of Biological Psychology, De Bodelaan 1111, 1081 HV, Amsterdam

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Tyrone Cannon

Tyrone Cannon

UCLA Department of Psychology, Franz Hall, 405 Hilgard Avenue, Los Angeles, CA 90095-1563

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Ryuta Kawashima

Ryuta Kawashima

Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohuku University, 4-1 Seiryomachi Aobaku, Sendai 980-9575, Japan

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Bernard Mazoyer

Bernard Mazoyer

Groupe d'Imagerie Neurofonctionnelle, UMR 6095 CNRs, CES, Université de Caen, Université Paris 5, GIP Cyceron, BP5229, F-14074 Caen, France

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    Motivated by the vast amount of information that is rapidly accumulating about the human brain in digital form, we embarked upon a program in 1992 to develop a four–dimensional probabilistic atlas and reference system for the human brain. Through an International Consortium for Brain Mapping (ICBM) a dataset is being collected that includes 7000 subjects between the ages of eighteen and ninety years and including 342 mono– and dizygotic twins. Data on each subject includes detailed demographic, clinical, behavioural and imaging information. DNA has been collected for genotyping from 5800 subjects. A component of the programme uses post–mortem tissue to determine the probabilistic distribution of microscopic cyto– and chemoarchitectural regions in the human brain. This, combined with macroscopic information about structure and function derived from subjects in vivo, provides the first large scale opportunity to gain meaningful insights into the concordance or discordance in micro– and macroscopic structure and function. The philosophy, strategy, algorithm development, data acquisition techniques and validation methods are described in this report along with database structures. Examples of results are described for the normal adult human brain as well as examples in patients with Alzheimer's disease and multiple sclerosis. The ability to quantify the variance of the human brain as a function of age in a large population of subjects for whom data is also available about their genetic composition and behaviour will allow for the first assessment of cerebral genotype–phenotype–behavioural correlations in humans to take place in a population this large. This approach and its application should provide new insights and opportunities for investigators interested in basic neuroscience, clinical diagnostics and the evaluation of neuropsychiatric disorders in patients.