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Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity

Almeida, JR; Mourao-Miranda, J; Aizenstein, HJ; Versace, A; Kozel, FA; Lu, H; Marquand, A; ... Phillips, ML; + view all (2013) Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity. British Journal of Psychiatry , 203 (4) pp. 310-311. 10.1192/bjp.bp.112.122838. Green open access

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Abstract

Differentiating bipolar from recurrent unipolar depression is a major clinical challenge. In 18 healthy females and 36 females in a depressive episode - 18 with bipolar disorder type I, 18 with recurrent unipolar depression - we applied pattern recognition analysis using subdivisions of anterior cingulate cortex (ACC) blood flow at rest, measured with arterial spin labelling. Subgenual ACC blood flow classified unipolar v. bipolar depression with 81% accuracy (83% sensitivity, 78% specificity).

Type: Article
Title: Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity
Open access status: An open access version is available from UCL Discovery
DOI: 10.1192/bjp.bp.112.122838
Publisher version: http://dx.doi.org/10.1192/bjp.bp.112.122838
Language: English
Additional information: © 2013. The Royal College of Psychiatrists. This paper accords with the Wellcome Trust Open Access policy and is governed by the licence available at http://www.rcpsych.ac.uk/pdf/Wellcome%20Trust%20licence.pdf
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1405936
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