A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)

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)...

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Published in	Philosophical transactions of the Royal Society of London. Series B. Biological sciences Vol. 356; no. 1412; pp. 1293 - 1322
Main Authors	Kötter, R., Mazziotta, John, Toga, Arthur, Evans, Alan, Fox, Peter, Lancaster, Jack, Zilles, Karl, Woods, Roger, Paus, Tomas, Simpson, Gregory, Pike, Bruce, Holmes, Colin, Collins, Louis, Thompson, Paul, MacDonald, David, Iacoboni, Marco, Schormann, Thorsten, Amunts, Katrin, Palomero-Gallagher, Nicola, Geyer, Stefan, Parsons, Larry, Narr, Katherine, Kabani, Noor, Goualher, Georges Le, Boomsma, Dorret, Cannon, Tyrone, Kawashima, Ryuta, Mazoyer, Bernard
Format	Journal Article
Language	English
Published	England The Royal Society 29.08.2001
Subjects	Adult Anatomy Brain Brain - anatomy & histology Brain Mapping - instrumentation Brain Mapping - methods Cytoarchitecture Databases, Factual Datasets Genetics Humans Imaging Intercontinental ballistic missiles Landmarks Magnetic Resonance Imaging Models, Statistical Neuroanatomy Neuroanatomy - instrumentation Neuroanatomy - methods Probabilistic Togas
Online Access	Get full text
ISSN	0962-8436 1471-2970
DOI	10.1098/rstb.2001.0915

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Abstract	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.
AbstractList	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. 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.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. 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. 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.
Author	Peter Fox Ryuta Kawashima Jack Lancaster John Mazziotta Noor Kabani Gregory Simpson Tyrone Cannon Karl Zilles Katrin Amunts Bruce Pike Paul Thompson Marco Iacoboni David MacDonald Louis Collins Arthur Toga Thorsten Schormann Roger Woods Tomas Paus Katherine Narr Alan Evans Nicola Palomero-Gallagher Georges Le Goualher Larry Parsons Dorret Boomsma Colin Holmes Stefan Geyer Bernard Mazoyer
AuthorAffiliation	Ahmanson-Lovelace Brain Mapping Center, UCLA School of Medicine, 660 Charles E. Young Drive, South Los Angeles, CA 90095, USA. mazz@loni.ucla.edu
AuthorAffiliation_xml	– name: Ahmanson-Lovelace Brain Mapping Center, UCLA School of Medicine, 660 Charles E. Young Drive, South Los Angeles, CA 90095, USA. mazz@loni.ucla.edu
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Young Drive, South Los AngelesCA 90095, USA – sequence: 10 givenname: Tomas surname: Paus fullname: Paus, Tomas organization: McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada – sequence: 11 givenname: Gregory surname: Simpson fullname: Simpson, Gregory organization: Dynamic NeuroImaging Laboratory, UCSF, Department of Radiology, Box 0628, San Francisco, CA 94143, USA – sequence: 12 givenname: Bruce surname: Pike fullname: Pike, Bruce organization: McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada – sequence: 13 givenname: Colin surname: Holmes fullname: Holmes, Colin organization: SGI, 43L-525, 1600 Amphitheatre Pkwy, Mountain View, CA 94043-1352, USA – sequence: 14 givenname: Louis surname: Collins fullname: Collins, Louis organization: McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada – sequence: 15 givenname: Paul surname: Thompson fullname: Thompson, Paul organization: Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, 710 Westwood Blvd, Lost Angeles, CA 90095, USA – sequence: 16 givenname: David surname: MacDonald fullname: MacDonald, David organization: McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada – sequence: 17 givenname: Marco surname: Iacoboni fullname: Iacoboni, Marco organization: Ahmanson-Lovelace Brain Mapping Center, UCLA School of Medicine, 660 Charles E. Young Drive, South Los AngelesCA 90095, USA – sequence: 18 givenname: Thorsten surname: Schormann fullname: Schormann, Thorsten organization: Institut für Neuroanatomie und C. und O., Vogt Institut für Hirnforschung, Heinrich-Heine-Universität, Postfach 101007, D-40001, Düsseldorf, Germany – sequence: 19 givenname: Katrin surname: Amunts fullname: Amunts, Katrin organization: Institut für Medizin, Forschungszentrum Jülich und Institut für Neuroanatomie, Heinrich-Heine-Universität, Postfach 101007, D-40001, Düsseldorf, Germany – sequence: 20 givenname: Nicola surname: Palomero-Gallagher fullname: Palomero-Gallagher, Nicola organization: Institute of Medicine, Research Centre, Jüich, D-52425, Germany – sequence: 21 givenname: Stefan surname: Geyer fullname: Geyer, Stefan organization: Institute of Neuroanatomy, Heinrich Heine University, Mooren str. 5,D-40225 Düsserldofr, Germany – sequence: 22 givenname: Larry surname: Parsons fullname: Parsons, Larry organization: Research Imaging Center, University of Texas Health Sciences Center at San Antonio, 7703 Floyd Curl Drive, San Antonio TX 78284, USA – sequence: 23 givenname: Katherine surname: Narr fullname: Narr, Katherine organization: Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, 710 Westwood Blvd, Lost Angeles, CA 90095, USA – sequence: 24 givenname: Noor surname: Kabani fullname: Kabani, Noor organization: McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada – sequence: 25 givenname: Georges Le surname: Goualher fullname: Goualher, Georges Le organization: McGill University/McConnell Brain Imaging Center, Montreal Neurological Institute, WB-315, 3801 University Street, Montreal, Quebec H3A 2B4, Canada – sequence: 26 givenname: Dorret surname: Boomsma fullname: Boomsma, Dorret organization: Vrije Universiteit, Department of Biological Psychology, De Bodelaan 1111, 1081 HV, Amsterdam – sequence: 27 givenname: Tyrone surname: Cannon fullname: Cannon, Tyrone organization: UCLA Department of Psychology, Franz Hall, 405 Hilgard Avenue, Los Angeles, CA 90095-1563 – sequence: 28 givenname: Ryuta surname: Kawashima fullname: Kawashima, Ryuta organization: Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohuku University, 4-1 Seiryomachi Aobaku, Sendai 980-9575, Japan – sequence: 29 givenname: Bernard surname: Mazoyer fullname: Mazoyer, Bernard organization: Groupe d'Imagerie Neurofonctionnelle, UMR 6095 CNRs, CES, Université de Caen, Université Paris 5, GIP Cyceron, BP5229, F-14074 Caen, France
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/11545704$$D View this record in MEDLINE/PubMed
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Snippet	provides the first large scale opportunity to gain meaningful insights into the concordance or discordance in micro– and macroscopic structure and function.... 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...
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SubjectTerms	Adult Anatomy Brain Brain - anatomy & histology Brain Mapping - instrumentation Brain Mapping - methods Cytoarchitecture Databases, Factual Datasets Genetics Humans Imaging Intercontinental ballistic missiles Landmarks Magnetic Resonance Imaging Models, Statistical Neuroanatomy Neuroanatomy - instrumentation Neuroanatomy - methods Probabilistic Togas
Title	A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)
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