Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: A pilot study

European Archives of Psychiatry and Clinical Neuroscience

Volumn 263, Issue 2, 2013, Pages 119-131

  Grotegerd, Dominik ^a   Suslow, Thomas ^a,b   Bauer, Jochen ^a   Ohrmann, Patricia ^a   Arolt, Volker ^a   Stuhrmann, Anja ^a   Heindel, Walter ^a   Kugel, Harald ^a   Dannlowski, Udo ^a,c  

^a UNIVERSITY OF MÜNSTER   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

^c PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

Amygdala; Bipolar disorder; Depression; fMRI; Machine learning; Pattern classification

Indexed keywords

ADULT; AMYGDALOID NUCLEUS; ARTICLE; BIPOLAR DEPRESSION; CLINICAL ARTICLE; CLINICAL CLASSIFICATION; CONTROLLED STUDY; DIAGNOSTIC ERROR; EMOTION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; GROUP DYNAMICS; HUMAN; MAJOR DEPRESSION; MALE; NUCLEAR MAGNETIC RESONANCE SCANNER; PILOT STUDY; PRIORITY JOURNAL;

ADULT; AMYGDALA; BIPOLAR DISORDER; CASE-CONTROL STUDIES; DEPRESSIVE DISORDER, MAJOR; DIAGNOSIS, DIFFERENTIAL; FEMALE; FRONTAL LOBE; FUNCTIONAL NEUROIMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PILOT PROJECTS; PREFRONTAL CORTEX; SUPPORT VECTOR MACHINES;

EID: 84879497100     PISSN: 09401334     EISSN: 14338491     Source Type: Journal    
DOI: 10.1007/s00406-012-0329-4     Document Type: Article

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