The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA.
Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA.
Brain Struct Funct. 2017 Dec;222(9):4051-4064. doi: 10.1007/s00429-017-1451-x. Epub 2017 Jun 9.
Bipolar disorder (BD) and major depressive disorder (MDD) share similar clinical characteristics that often obscure the diagnostic distinctions between their depressive conditions. Both functional and structural brain abnormalities have been reported in these two disorders. However, the direct link between altered functioning and structure in these two diseases is unknown. To elucidate this relationship, we conducted a multimodal fusion analysis on the functional network connectivity (FNC) and gray matter density from MRI data from 13 BD, 40 MDD, and 33 matched healthy controls (HC). A data-driven fusion method called mCCA+jICA was used to identify the co-altered FNC and gray matter components. Comparing to HC, BD exhibited reduced gray matter density in the parietal and occipital cortices, which correlated with attenuated functional connectivity within sensory and motor networks, as well as hyper-connectivity in regions that are putatively engaged in cognitive control. In addition, lower gray matter density was found in MDD in the amygdala and cerebellum. High accuracy in discriminating across groups was also achieved by trained classification models, implying that features extracted from the fusion analysis hold the potential to ultimately serve as diagnostic biomarkers for mood disorders.
双相情感障碍（BD）和重度抑郁症（MDD）具有相似的临床特征，这常常使它们的抑郁状态之间的诊断区别变得模糊。这两种疾病都有功能和结构上的大脑异常。然而，这两种疾病中功能改变与结构改变之间的直接联系尚不清楚。为了阐明这种关系，我们对 13 名 BD、40 名 MDD 和 33 名匹配的健康对照者（HC）的 MRI 数据的功能网络连接（FNC）和灰质密度进行了多模态融合分析。我们使用一种名为 mCCA+jICA 的数据驱动融合方法来识别共同改变的 FNC 和灰质成分。与 HC 相比，BD 在顶叶和枕叶皮质的灰质密度降低，与感觉和运动网络内功能连接的减弱以及假定参与认知控制的区域的过度连接有关。此外，MDD 在杏仁核和小脑的灰质密度降低。训练有素的分类模型在跨组区分方面也取得了很高的准确性，这表明融合分析中提取的特征有可能最终成为情绪障碍的诊断生物标志物。
