Literatures have reported considerable heterogeneity with atypical functional connectivity (FC) pattern of psychiatric disorders. However, traditional statistical methods are hard to explore this heterogeneity pattern. We proposed a “brain dimension” method to describe the atypical FC patterns of major depressive disorder and bipolar disorder (BD). The approach was firstly applied to a simulation dataset. It was then utilized to a real resting-state functional magnetic resonance imaging dataset of 47 individuals with major depressive disorder, 32 individuals with BD, and 52 well matched health controls. Our method showed a better ability to extract the FC dimensions than traditional methods. The results of the real dataset revealed atypical FC dimensions for major depressive disorder and BD. Especially, an atypical FC dimension which exhibited decreased FC strength of thalamus and basal ganglia was found with higher severity level of individuals with BD than the ones with major depressive disorder. This study provided a novel “brain dimension” method to view the atypical FC patterns of major depressive disorder and BD and revealed shared and specific atypical FC patterns between major depressive disorder and BD.

中文翻译：

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重度抑郁症和双相情感障碍非典型功能连接的维度分析

文献报道了精神疾病的非典型功能连接（FC）模式存在相当大的异质性。然而，传统的统计方法很难探索这种异质性模式。我们提出了一种“大脑维度”方法来描述重度抑郁症和双相情感障碍 (BD) 的非典型 FC 模式。该方法首先应用于模拟数据集。然后将其用于 47 名重度抑郁症患者、32 名 BD 患者和 52 名健康对照者的真实静息状态功能磁共振成像数据集。我们的方法显示出比传统方法更好的提取 FC 维度的能力。真实数据集的结果揭示了重度抑郁症和 BD 的非典型 FC 维度。尤其，与重度抑郁症患者相比，BD 患者的丘脑和基底节 FC 强度降低的非典型 FC 维度被发现具有更高的严重程度。本研究提供了一种新的“大脑维度”方法来查看重度抑郁症和 BD 的非典型 FC 模式，并揭示了重度抑郁症和 BD 之间共有的和特定的非典型 FC 模式。