TY - CHAP
T1 - Brain Atlases of Normal and Diseased Populations
AU - Toga, Arthur W.
AU - Thompson, Paul M.
N1 - Funding Information:
This work was supported by research grants from the National Institutes of Health's Roadmap Initiative for Bioinformatics and Computational Biology (U54‐RR21813), the National Center for Research Resources (P41 RR13642 and M01 RR00865), the National Institute of Mental Health (NIMH) and the National Institute of Neurological Disorders and Stroke (P20 MH/NS65166), a Human Brain Project grant to the International Consortium for Brain Mapping, funded jointly by NIMH and the National Institute on Drug Abuse (P20 MH/DA52176). Additional support was provided by the National Institute for Biomedical Imaging and Bioengineering, the National Center for Research Resources, and the National Institute on Aging (R21 EB01651, R21 RR019771, P50 AG016570), the National Library of Medicine (LM/MH05639), and the Biomedical Informatics Research Network ( http://www.nbirn.net ), which is funded by the National Center for Research Resources at the National Institutes of Health. Portions of this manuscript, including several figures, are reprinted with permission from Toga et al . (2001) .
PY - 2005
Y1 - 2005
N2 - The concept of atlases in neuroscience is an old one (see Toga and Mazziotta, 1996 for a historical survey). Cartographic approaches have been used for centuries to identify and target specific regions in the brain and to establish relationships between a coordinate and a structure. In a brain atlas, spatial correspondence between a point in a coordinate system and a neuroanatomic feature was traditionally (and is sometimes still) achieved through definition of a set of rules governing pitch, roll, and yaw between a given brain and the atlas. Originally, the brain atlas was built around a rigid Cartesian coordinate system, but modern brain atlases incorporate flexible, computable systems that accommodate the sometimes considerable differences between a brain and the atlas. The transition from a static atlas representation to a computational one has resulted in dramatic extensions to the atlas concept. The brain atlas is now equivalent to a database: it incorporates a multitude of data points, all of which are organized, relational, extendable, and queriable. Originally, the brain atlas was purely neuroanatomical; now it can include functional information like descriptions of gene expression, receptor patterns, or connectivity. Originally, the brain atlas was built from a single, supposedly representative, example of the species at a single age (or weight); now it represents whole populations of individuals and statistically incorporates their distribution. Originally, the brain atlas was three dimensional (3D) (although most published book-form atlases were not accurate in the z axis). Now it incorporates time (making it four dimensional [4D]), from a scale of milliseconds (functional activity) to years (development and aging). Originally, the brain atlas depicted only the normal brain; now it can be used to describe a particular disease, and it may soon become a routinely applied biomarker for the detection of early stages in a pathological process or for assessing drug effects in clinical trials. This chapter reviews the background, evolution, and application of brain atlases in health and disease.
AB - The concept of atlases in neuroscience is an old one (see Toga and Mazziotta, 1996 for a historical survey). Cartographic approaches have been used for centuries to identify and target specific regions in the brain and to establish relationships between a coordinate and a structure. In a brain atlas, spatial correspondence between a point in a coordinate system and a neuroanatomic feature was traditionally (and is sometimes still) achieved through definition of a set of rules governing pitch, roll, and yaw between a given brain and the atlas. Originally, the brain atlas was built around a rigid Cartesian coordinate system, but modern brain atlases incorporate flexible, computable systems that accommodate the sometimes considerable differences between a brain and the atlas. The transition from a static atlas representation to a computational one has resulted in dramatic extensions to the atlas concept. The brain atlas is now equivalent to a database: it incorporates a multitude of data points, all of which are organized, relational, extendable, and queriable. Originally, the brain atlas was purely neuroanatomical; now it can include functional information like descriptions of gene expression, receptor patterns, or connectivity. Originally, the brain atlas was built from a single, supposedly representative, example of the species at a single age (or weight); now it represents whole populations of individuals and statistically incorporates their distribution. Originally, the brain atlas was three dimensional (3D) (although most published book-form atlases were not accurate in the z axis). Now it incorporates time (making it four dimensional [4D]), from a scale of milliseconds (functional activity) to years (development and aging). Originally, the brain atlas depicted only the normal brain; now it can be used to describe a particular disease, and it may soon become a routinely applied biomarker for the detection of early stages in a pathological process or for assessing drug effects in clinical trials. This chapter reviews the background, evolution, and application of brain atlases in health and disease.
UR - http://www.scopus.com/inward/record.url?scp=33644759429&partnerID=8YFLogxK
U2 - 10.1016/S0074-7742(05)66001-1
DO - 10.1016/S0074-7742(05)66001-1
M3 - Chapter
C2 - 16387199
AN - SCOPUS:33644759429
SN - 0123668670
SN - 9780123668677
T3 - International Review of Neurobiology
SP - 1
EP - 54
BT - Neuroimaging, Part A
A2 - Glabus, Michael
ER -