Using structural MRI to identify individuals at genetic risk for bipolar disorders: A 2-cohort, machine learning study

Journal of Psychiatry and Neuroscience

Volumn 40, Issue 5, 2015, Pages 316-324

  Hajek, Tomas ^a,b   Cooke, Christopher ^a   Kopecek, Miloslav ^b,c   Novak, Tomas ^b,c   Hoschl, Cyril ^b,c   Alda, Martin ^a,b,c  

^a DALHOUSIE UNIVERSITY   (Canada)

^b NATIONAL INSTITUTE OF MENTAL HEALTH   (Czech Republic)

^c CHARLES UNIVERSITY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; ARTICLE; BIPOLAR DISORDER; CLASSIFIER; COHORT ANALYSIS; CONTROLLED STUDY; DISCRIMINATING MAP; DSM-IV; FEMALE; FRONTAL GYRUS; GENETIC RISK; GRAY MATTER; HUMAN; MACHINE LEARNING; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PERMUTATION TEST; PRECUNEUS; SCHEDULE FOR AFFECTIVE DISORDERS AND SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TEMPORAL GYRUS; VALIDATION PROCESS; WHITE MATTER; YOUNG ADULT; ADOLESCENT; ANATOMY AND HISTOLOGY; CANADA; COMPARATIVE STUDY; CZECH REPUBLIC; GENETIC PREDISPOSITION; GENETICS; NEUROIMAGING; PARIETAL LOBE; PATHOLOGY; PREFRONTAL CORTEX; PROCEDURES; RISK FACTOR; TEMPORAL LOBE;

ADOLESCENT; ADULT; BIPOLAR DISORDER; CANADA; COHORT STUDIES; CZECH REPUBLIC; FEMALE; GENETIC PREDISPOSITION TO DISEASE; GRAY MATTER; HUMANS; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MALE; NEUROIMAGING; PARIETAL LOBE; PREFRONTAL CORTEX; RISK FACTORS; SUPPORT VECTOR MACHINE; TEMPORAL LOBE; WHITE MATTER; YOUNG ADULT;

EID: 84940202331     PISSN: 11804882     EISSN: 14882434     Source Type: Journal    
DOI: 10.1503/jpn.140142     Document Type: Article

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