MRI-based morphometric of typical and atypical brain development.
The neuroinformatics landscape in which human brain morphometry occurs has advanced dramatically over the past few years. Rapid advancement in image acquisition methods, image analysis tools and interpretation of morphometric results make the study of in vivo anatomic analysis both challenging and rewarding. This has revolutionized our expectations for current and future diagnostic and investigative work with the developing brain. This paper will briefly cover the methods of morphometric analysis available for neuroanatomic analysis, and tour some sample results from a prototype retrospective database of neuroanatomic volumetric information. From these observations, issues regarding the anatomic variability of developmental maturation of neuroanatomic structures in both typically and atypically developing populations can be discussed.
Kennedy
David N
DN
Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts 02129, USA. dave@cma.mgh.harvard.edu
Haselgrove
Christian
C
McInerney
Sean
S
D000293:Adolescent; D000328:Adult; D001289:Attention Deficit Disorder with Hyperactivity / Q000503:physiopathology; D001921:Brain / Q000002:abnormalities* / Q000503:physiopathology*; D002421:Caudate Nucleus / Q000002:abnormalities; D002648:Child; D019970:Cocaine-Related Disorders / Q000503:physiopathology; D003863:Depression / Q000503:physiopathology; D005240:Feasibility Studies; D006801:Humans; D006816:Huntington Disease / Q000503:physiopathology; D007231:Infant, Newborn; D007234:Infant, Premature; D008279:Magnetic Resonance Imaging; D008875:Middle Aged; D009771:Obsessive-Compulsive Disorder / Q000503:physiopathology; D012559:Schizophrenia / Q000503:physiopathology; D013313:Stress Disorders, Post-Traumatic / Q000503:physiopathology