Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach.
Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach.
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DOI：
10.1001/jamapsychiatry.2014.1100
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发表时间：
2014-11
期刊：
影响因子：
25.8
通讯作者：
Dannlowski U
中科院分区：
文献类型：
--
作者：
Redlich R;Almeida JJ;Grotegerd D;Opel N;Kugel H;Heindel W;Arolt V;Phillips ML;Dannlowski U
准确区分单相抑郁症（UD）和双相抑郁症（BD）的大脑结构异常仍不清楚。首先，研究和比较 UD 和 BD 的形态变化，并在 2 个独立的神经影像学部位重复研究结果；其次，使用多元模式分类技术区分 UD 和 BD。在一项 2 中心横断面研究中，使用 3-T 磁共振成像在 2 个独立地点（宾夕法尼亚州匹兹堡和德国明斯特）获得了结构灰质数据。基于体素的形态测量用于比较局部灰质和白质体积，并使用一种新颖的模式分类方法来区分 UD 和 BD，同时在一个成像部位训练分类器并在另一个部位的独立样本中进行测试。匹兹堡的参与者样本是 2008 年至 2012 年从匹兹堡大学西方精神病学研究所和诊所招募的。明斯特样本是从 2010 年至 2012 年从明斯特大学精神病学系招募的。两个地点平均分配了 58 名目前患有 I 型双相情感障碍的抑郁症患者，其中 58 名年龄和性别匹配单相抑郁症患者和 58 名匹配的健康人 控制。磁共振成像用于检测组之间的结构差异。使用基于体素的形态测定法进行形态测定分析。模式分类技术用于多变量方法。在这两个部位，与 UD 个体相比，BD 个体的海马结构和杏仁核灰质体积减少（蒙特利尔神经学研究所坐标 x = −22，y = −1，z = 20；k = 1938 体素；t = 4.75），而 UD 个体与 BD 个体相比，前扣带回灰质体积减少 （蒙特利尔神经研究所坐标 x = −8，y = 32，z = 3；k = 979 体素；t = 6.37；所有校正 P < .05）。双相情感障碍患者的小脑和海马内白质体积减少。通过区分 2 个抑郁症组，在一个地点训练和测试分类器，模式分类的准确率高达 79.3% (P < .001)；在一个成像地点（匹兹堡）训练分类器并在另一个独立样本（明斯特）测试分类器，模式分类的准确率高达 69.0% (P < .001)。药物负荷并没有改变结果模式。 UD 和 BD 个体的区别在于支持情绪处理的神经区域的结构异常。神经影像学和多变量模式分类技术是区分 UD 和 BD 的有前途的工具，并有望成为未来的诊断辅助手段。
The structural abnormalities in the brain that accurately differentiate unipolar depression (UD) and bipolar depression (BD) remain unidentified. First, to investigate and compare morphometric changes in UD and BD, and to replicate the findings at 2 independent neuroimaging sites; second, to differentiate UD and BD using multivariate pattern classification techniques. In a 2-center cross-sectional study, structural gray matter data were obtained at 2 independent sites (Pittsburgh, Pennsylvania, and Münster, Germany) using 3-T magnetic resonance imaging. Voxel-based morphometry was used to compare local gray and white matter volumes, and a novel pattern classification approach was used to discriminate between UD and BD, while training the classifier at one imaging site and testing in an independent sample at the other site. The Pittsburgh sample of participants was recruited from the Western Psychiatric Institute and Clinic at the University of Pittsburgh from 2008 to 2012. The Münster sample was recruited from the Department of Psychiatry at the University of Münster from 2010 to 2012. Equally divided between the 2 sites were 58 currently depressed patients with bipolar I disorder, 58 age- and sex-matched unipolar depressed patients, and 58 matched healthy controls. Magnetic resonance imaging was used to detect structural differences between groups. Morphometric analyses were applied using voxel-based morphometry. Pattern classification techniques were used for a multivariate approach. At both sites, individuals with BD showed reduced gray matter volumes in the hippocampal formation and the amygdala relative to individuals with UD (Montreal Neurological Institute coordinates x = −22, y = −1, z = 20; k = 1938 voxels; t = 4.75), whereas individuals with UD showed reduced gray matter volumes in the anterior cingulate gyrus compared with individuals with BD (Montreal Neurological Institute coordinates x = −8, y = 32, z = 3; k = 979 voxels; t = 6.37; all corrected P < .05). Reductions in white matter volume within the cerebellum and hippocampus were found in individuals with BD. Pattern classification yielded up to 79.3% accuracy (P < .001) by differentiating the 2 depressed groups, training and testing the classifier at one site, and up to 69.0% accuracy (P < .001), training the classifier at one imaging site (Pittsburgh) and testing it at the other independent sample (Münster). Medication load did not alter the pattern of results. Individuals with UD and those with BD are differentiated by structural abnormalities in neural regions supporting emotion processing. Neuroimaging and multivariate pattern classification techniques are promising tools to differentiate UD from BD and show promise as future diagnostic aids.
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DOI：
10.1192/bjp.bp.112.122838
发表时间：
2013-09
期刊：
The British journal of psychiatry : the journal of mental science
影响因子：
--
作者：
Almeida JR;Mourao-Miranda J;Aizenstein HJ;Versace A;Kozel FA;Lu H;Marquand A;LaBarbara EJ;Brammer M;Trivedi M;Kupfer DJ;Phillips ML
通讯作者：
Phillips ML
影响因子：
--
作者：
Blumberg, HP;Kaufman, J;Peterson, BS
通讯作者：
Peterson, BS
影响因子：
10.6
作者：
Fu, Cynthia H. Y.;Mourao-Miranda, Janaina;Brammer, Michael J.
通讯作者：
Brammer, Michael J.
DOI：
10.1016/j.pnpbp.2011.09.014
发表时间：
2012-01-10
影响因子：
5.6
作者：
Du, Ming-Ying;Wu, Qi-Zhu;Gong, Qi-Yong
通讯作者：
Gong, Qi-Yong
DOI：
10.4088/jcp.8125cc5c
发表时间：
2010-01-01
期刊：
The Journal of clinical psychiatry
影响因子：
--
作者：
Bowden, Charles L
通讯作者：
Bowden, Charles L