J. R. C. Almeida, MD, PhD, Department of Psychiatry, University of Pittsburgh School of Medicine; J. Mourao-Miranda, PhD, Department of Computer Science, University College London; H. J. Aizenstein, MD, PhD, A. Versace, MD, Department of Psychiatry, University of Pittsburgh School of Medicine; F. A. Kozel, MD, MSCR, Department of Psychiatry and Neuroscience, University of South Florida, Tampa; H. Lu, PhD, Department of Psychiatry, University of Texas Southwestern, Dallas; A. Marquand, PhD, Department of Clinical Neuroscience, Institute of Psychiatry, King's College London; E. J. LaBarbara, BS, Department of Psychiatry, University of Pittsburgh School of Medicine, USA; M. Brammer, PhD, Department of Biostatistics, Institute of Psychiatry, King's College London; M. Trivedi, MD, Department of Psychiatry, University of Texas Southwestern, Dallas; D. J. Kupfer, MD, Department of Psychiatry, University of Pittsburgh School of Medicine; M. L. Phillips, MB, Bchir, MD (Cantab), MRCPsych, Department of Psychiatry, University of Pittsburgh School of Medicine and Department of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK.
Br J Psychiatry. 2013 Sep;203(3):310-1. doi: 10.1192/bjp.bp.112.122838. Epub 2013 Aug 22.
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).
区分双相情感障碍和复发性单相抑郁是一项重大的临床挑战。我们对 18 名健康女性和 36 名处于抑郁发作期的女性(18 名患有 I 型双相情感障碍,18 名患有复发性单相抑郁)进行了研究,使用动脉自旋标记测量静息状态下前扣带回皮层(ACC)血流的细分,应用模式识别分析。ACC 亚属血流对单相和双相抑郁的分类准确率为 81%(敏感性为 83%,特异性为 78%)。