Diffusion tensor imaging reliably differentiates patients with schizophrenia from healthy volunteers

Human Brain Mapping

Volumn 32, Issue 1, 2011, Pages 1-9

  Ardekani, Babak A ^a,b   Tabesh, Ali ^a   Sevy, Serge ^c,d,e   Robinson, Delbert G ^c,d,e   Bilder, Robert M ^f   Szeszko, Philip R ^c,d,e  

^a NATHAN S KLINE INSTITUTE FOR PSYCHIATRIC RESEARCH   (United States)

^b NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH   (United States)

^d ZUCKER HILLSIDE HOSPITAL   (United States)

^e ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Automated pattern recognition; Brain; Diffusion tensor imaging; Discriminant analysis; Fractional anisotropy; Magnetic resonance imaging; Mean diffusivity; Schizophrenia

Indexed keywords

NEUROLEPTIC AGENT;

ACCURACY; ADULT; ALGORITHM; ARTICLE; AUTOMATION; CONTROLLED STUDY; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; DIFFUSION TENSOR IMAGING; FEMALE; FRACTIONAL ANISOTROPY; HUMAN; MAJOR CLINICAL STUDY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RELIABILITY; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; STANDARD; VOLUNTEER;

ADULT; ANISOTROPY; BRAIN; BRAIN MAPPING; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 78649995384     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.20995     Document Type: Article

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