Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression

Psychiatry Research - Neuroimaging

Volumn 233, Issue 2, 2015, Pages 289-291

  Sato, João R ^a,b   Moll, Jorge ^b   Green, Sophie ^c   Deakin, John F W ^d   Thomaz, Carlos E ^e   Zahn, Roland ^f  

^a UNIVERSIDADE FEDERAL DO ABC   (Brazil)

^b D OR INSTITUTE FOR RESEARCH AND EDUCATION IDOR   (Brazil)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

^d UNIVERSITY OF MANCHESTER   (United Kingdom)

^e CENTRO UNIVERSITÁRIO DA FEI   (Brazil)

^f KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Anterior temporal lobe; Major depressive disorder; Self blame

Indexed keywords

ANTIDEPRESSANT AGENT; BIOLOGICAL MARKER;

AREA UNDER THE CURVE; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISCRIMINANT ANALYSIS; DISEASE PREDISPOSITION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; GUILT; HUMAN; MACHINE LEARNING; MAJOR DEPRESSION; MAXIMUM ENTROPY LINEAR DISCRIMINANT ANALYSIS; MONTGOMERY ASBERG DEPRESSION RATING SCALE; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; ADULT; ALGORITHM; CASE CONTROL STUDY; COMPUTER ASSISTED DIAGNOSIS; DEPRESSIVE DISORDER, MAJOR; ECHO PLANAR IMAGING; FEMALE; MALE; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES; REFERENCE VALUE; TEMPORAL LOBE;

ADULT; ALGORITHMS; BIOMARKERS; CASE-CONTROL STUDIES; DEPRESSIVE DISORDER, MAJOR; DIAGNOSIS, COMPUTER-ASSISTED; ECHO-PLANAR IMAGING; FEMALE; GUILT; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; REFERENCE VALUES; SENSITIVITY AND SPECIFICITY; TEMPORAL LOBE;

EID: 84938694131     PISSN: 09254927     EISSN: 18727506     Source Type: Journal    
DOI: 10.1016/j.pscychresns.2015.07.001     Document Type: Article

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