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

被引：43

作者：

Almeida, J. R. C. ^{[1
]}

Mourao-Miranda, J. ^{[2
]}

Aizenstein, H. J. ^{[1
]}

Versace, A. ^{[1
]}

Kozel, F. A. ^{[3
]}

Lu, H. ^{[4
]}

Marquand, A. ^{[5
]}

LaBarbara, E. J. ^{[1
]}

Brammer, M. ^{[6
]}

Trivedi, M. ^{[4
]}

Kupfer, D. J. ^{[1
]}

Phillips, M. L. ^{[1
,7
]}

机构：

[1] Univ Pittsburgh, Sch Med, Dept Psychiat, Pittsburgh, PA 15213 USA

[2] UCL, Dept Comp Sci, London WC1E 6BT, England

[3] Univ S Florida, Dept Psychiat & Neurosci, Tampa, FL USA

[4] Univ Texas Southwestern, Dept Psychiat, Dallas, TX USA

[5] Kings Coll London, Inst Psychiat, Dept Clin Neurosci, London, England

[6] Kings Coll London, Inst Psychiat, Dept Biostat, London, England

[7] Cardiff Univ, Dept Psychol Med & Clin Neurosci, Cardiff CF10 3AX, S Glam, Wales

来源：

BRITISH JOURNAL OF PSYCHIATRY | 2013年 / 203卷 / 04期

基金：

英国惠康基金;

关键词：

D O I：

10.1192/bjp.bp.112.122838

中图分类号：

R749 [精神病学];

学科分类号：

100205 ;

摘要：

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).

引用

页码：310 / 311

页数：2

共 9 条

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