Multivariate neuroanatomical classification of cognitive subtypes in schizophrenia: A support vector machine learning approach

NeuroImage: Clinical

Volumn 6, Issue , 2014, Pages 229-236

  Gould, Ian C ^a,b   Shepherd, Alana M ^a,b   Laurens, Kristin R ^a,b,c   Cairns, Murray J ^a,d   Carr, Vaughan J ^a,b   Green, Melissa J ^a,b,e,f  

^a SCHIZOPHRENIA RESEARCH INSTITUTE   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c KING'S COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF NEWCASTLE   (Australia)

^e PRINCE OF WALES HOSPITAL   (Australia)

^f NEUROSCIENCE RESEARCH AUSTRALIA   (Australia)

Author keywords

Cognition; Cognitive deficit; Magnetic resonance imaging; Sex differences; Subtypes; Voxel based morphometry

Indexed keywords

ADULT; AGED; ARTICLE; BRAIN SIZE; COGNITIVE DEFECT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; FEMALE; FRONTAL CORTEX; GRAY MATTER; HUMAN; MAJOR CLINICAL STUDY; MALE; NEUROANATOMY; SCHIZOPHRENIA; SEX DIFFERENCE; SUPPORT VECTOR MACHINE; TEMPORAL CORTEX; WHITE MATTER; BRAIN; CLASSIFICATION; COGNITION; MIDDLE AGED; MULTIVARIATE ANALYSIS; PATHOLOGY; PSYCHOLOGY;

ADULT; BRAIN; COGNITION; FEMALE; GRAY MATTER; HUMANS; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; SCHIZOPHRENIA; SCHIZOPHRENIC PSYCHOLOGY; SUPPORT VECTOR MACHINES; WHITE MATTER;

EID: 84907549240     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2014.09.009     Document Type: Article

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