Methods for identifying subject-specific abnormalities in neuroimaging data

Algorithms that are capable of capturing subject‐specific abnormalities (SSA) in neuroimaging data have long been an area of focus for diverse neuropsychiatric conditions such as multiple sclerosis, schizophrenia, and traumatic brain injury. Several algorithms have been proposed that define SSA in p...

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Vydané v:	Human brain mapping Ročník 35; číslo 11; s. 5457 - 5470
Hlavní autori:	Mayer, Andrew R., Bedrick, Edward J., Ling, Josef M., Toulouse, Trent, Dodd, Andrew
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY Blackwell Publishing Ltd 01.11.2014 Wiley-Liss John Wiley & Sons, Inc John Wiley and Sons Inc
Predmet:	Adolescent Adult Algorithms Anisotropy Biological and medical sciences Brain - pathology Brain Injuries - diagnosis Child Computer Simulation Computerized medical documentation Computerized, statistical medical data processing and models in biomedicine Databases, Factual - statistics & numerical data Diffusion Tensor Imaging Female Humans Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences mild traumatic brain injury Models, Neurological Multiple Sclerosis - diagnosis Nervous system neuroimaging Nonlinear Dynamics Radiodiagnosis. Nmr imagery. Nmr spectrometry Schizophrenia - diagnosis subject-specific abnormalities Young Adult Human Nervous system diseases Radiodiagnosis Central nervous system subject-specific abnormalities Trauma mild traumatic brain injury Encephalon Diffusion tensor imaging neuroimaging diffusion tensor imaging
ISSN:	1065-9471, 1097-0193, 1097-0193
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