Optimally-Discriminative Voxel-Based Morphometry significantly increases the ability to detect group differences in schizophrenia, mild cognitive impairment, and Alzheimer's disease

NeuroImage

Volumn 79, Issue , 2013, Pages 94-110

  Zhang, Tianhao ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Alzheimer's disease; General Linear Model; Mild cognitive impairment; ODVBA; Schizophrenia; Voxel Based Morphometry

Indexed keywords

ADULT; ALZHEIMER DISEASE; ARTICLE; BRAIN REGION; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GAUSSIAN SMOOTHING; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; OPTIMALLY DISCRIMINATIVE VOXEL BASED ANALYSIS; PATHOLOGICAL ANATOMY; PRIORITY JOURNAL; SCHIZOPHRENIA; SENSITIVITY ANALYSIS; VOXEL BASED MORPHOMETRY;

AGED; AGED, 80 AND OVER; ALGORITHMS; ALZHEIMER DISEASE; BRAIN; COGNITION DISORDERS; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 84878120205     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.04.063     Document Type: Article

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