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.
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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 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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