Bürger Christian, Redlich Ronny, Grotegerd Dominik, Meinert Susanne, Dohm Katharina, Schneider Ilona, Zaremba Dario, Förster Katharina, Alferink Judith, Bölte Jens, Heindel Walter, Kugel Harald, Arolt Volker, Dannlowski Udo
Department of Psychiatry, University of Münster, Münster, Germany.
Cluster of Excellence EXC 1003, Cells in Motion, University of Münster, Münster, Germany.
Neuropsychopharmacology. 2017 Jun;42(7):1399-1408. doi: 10.1038/npp.2017.36. Epub 2017 Feb 16.
Distinguishing bipolar disorder from major depressive disorder is a major challenge in psychiatric treatment. Consequently, there has been growing interest in identifying neuronal biomarkers of disorder-specific pathophysiological processes to differentiate affective disorders. Thirty-six depressed bipolar patients, 36 depressed unipolar patients, and 36 matched healthy controls (HCs) participated in an fMRI experiment. Emotional faces served as stimuli in a matching task. We investigated neural activation towards angry, fearful, and happy faces focusing on prototypical regions related to emotion processing, ie, the amygdala and the anterior cingulate gyrus (ACG). Furthermore, we employed a whole-brain and a multivariate pattern classification analysis. Unipolar patients showed abnormally reduced ACG activation toward happy and fearful faces compared with bipolar patients and HCs respectively. Furthermore, the whole-brain analysis revealed significantly increased activation in bipolar patients compared with unipolar patients in the fearful condition in the right frontal and parietal cortex. Moreover, the multivariate pattern classification analysis yielded significant classification rates of up to 72% based on ACG activation elicited by fearful faces. Our results question the rather 'amygdalocentric' neurobiological models of mood disorders. We observed patterns of abnormally reduced ventral and supragenual ACG activation, potentially indicating impaired bottom-up emotion processing and automatic emotion regulation specifically in unipolar but not in bipolar individuals.
区分双相情感障碍和重度抑郁症是精神科治疗中的一项重大挑战。因此,人们越来越关注识别特定疾病病理生理过程的神经元生物标志物,以区分情感障碍。36名双相情感障碍抑郁患者、36名单相抑郁患者和36名匹配的健康对照者(HCs)参与了一项功能磁共振成像(fMRI)实验。在一项匹配任务中,以情绪面孔作为刺激物。我们聚焦于与情绪处理相关的典型区域,即杏仁核和前扣带回(ACG),研究了对愤怒、恐惧和快乐面孔的神经激活情况。此外,我们还采用了全脑分析和多变量模式分类分析。与双相情感障碍患者和健康对照者相比,单相患者对快乐和恐惧面孔的ACG激活异常减少。此外,全脑分析显示,在恐惧状态下,双相情感障碍患者右侧额叶和顶叶皮质的激活明显高于单相患者。此外,基于恐惧面孔引发的ACG激活,多变量模式分类分析产生了高达72%的显著分类率。我们的研究结果对情绪障碍相当“以杏仁核为中心”的神经生物学模型提出了质疑。我们观察到腹侧和膝上ACG激活异常减少的模式,这可能表明自下而上的情绪处理和自动情绪调节受损,特别是在单相而非双相个体中。