Department of Medical Research, Taipei Veterans General Hospital, Taipei112, Taiwan.
Department of Psychiatry, Taipei Veterans General Hospital, Taipei112, Taiwan.
Eur Psychiatry. 2020 Dec 3;64(1):e8. doi: 10.1192/j.eurpsy.2020.106.
Recent imaging studies of large datasets suggested that psychiatric disorders have common biological substrates. This study aimed to identify all the common neural substrates with connectomic abnormalities across four major psychiatric disorders by using the data-driven connectome-wide association method of multivariate distance matrix regression (MDMR).
This study analyzed a resting functional magnetic resonance imaging dataset of 100 patients with schizophrenia, 100 patients with bipolar I disorder, 100 patients with bipolar II disorder, 100 patients with major depressive disorder, and 100 healthy controls (HCs). We calculated a voxel-wise 4,330 × 4,330 matrix of whole-brain functional connectivity (FC) with 8-mm isotropic resolution for each participant and then performed MDMR to identify structures where the overall multivariate pattern of FC was significantly different between each patient group and the HC group. A conjunction analysis was performed to identify common neural regions with FC abnormalities across these four psychiatric disorders.
The conjunction of the MDMR maps revealed that the four groups of patients shared connectomic abnormalities in distributed cortical and subcortical structures, which included bilateral thalamus, cerebellum, frontal pole, supramarginal gyrus, postcentral gyrus, lingual gyrus, lateral occipital cortex, and parahippocampus. The follow-up analysis based on pair-wise FC of these regions demonstrated that these psychiatric disorders also shared similar patterns of FC abnormalities characterized by sensory/subcortical hyperconnectivity, association/subcortical hypoconnectivity, and sensory/association hyperconnectivity.
These findings suggest that major psychiatric disorders share common connectomic abnormalities in distributed cortical and subcortical regions and provide crucial support for the common network hypothesis of major psychiatric disorders.
最近的大型数据集影像学研究表明，精神疾病具有共同的生物学基础。本研究旨在通过多元距离矩阵回归（MDMR）的基于数据驱动的连接组全关联方法，识别四个主要精神疾病中具有连接组异常的所有共同神经基础。
本研究分析了 100 例精神分裂症患者、100 例双相情感障碍 I 型患者、100 例双相情感障碍 II 型患者、100 例重性抑郁障碍患者和 100 例健康对照者的静息功能磁共振成像数据集。我们为每个参与者计算了一个 8mm 各向同性分辨率的全脑功能连接（FC）的体素间 4330×4330 矩阵，然后进行 MDMR，以识别每个患者组与健康对照组之间 FC 的整体多变量模式有显著差异的结构。进行了联合分析，以确定这些精神疾病之间具有 FC 异常的共同神经区域。
MDMR 图谱的联合结果表明，四组患者在分布式皮质和皮质下结构中共享连接组异常，包括双侧丘脑、小脑、额极、缘上回、中央后回、舌回、外侧枕叶和海马旁回。基于这些区域的成对 FC 的后续分析表明，这些精神疾病还共享类似的 FC 异常模式，其特征为感觉/皮质下过度连接、联合/皮质下连接不足和感觉/联合过度连接。
这些发现表明，主要精神疾病在分布式皮质和皮质下区域共享共同的连接组异常，并为主要精神疾病的共同网络假说提供了重要支持。
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