Wang Shuai, Gong Gaolang, Zhong Suyu, Duan Jia, Yin Zhiyang, Chang Miao, Wei Shengnan, Jiang Xiaowei, Zhou Yifang, Tang Yanqing, Wang Fei
From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang).
J Psychiatry Neurosci. 2020 Jan 1;45(1):15-22. doi: 10.1503/jpn.180162.
White matter network alterations have increasingly been implicated in major depressive disorder, bipolar disorder and schizophrenia. The aim of this study was to identify shared and distinct white matter network alterations among the 3 disorders.
We used analysis of covariance, with age and gender as covariates, to investigate white matter network alterations in 123 patients with schizophrenia, 123 with bipolar disorder, 124 with major depressive disorder and 209 healthy controls.
We found significant group differences in global network efficiency (F = 3.386, p = 0.018), nodal efficiency (F = 8.015, p < 0.001 corrected for false discovery rate [FDR]) and nodal degree (F = 5.971, pFDR < 0.001) in the left middle occipital gyrus, as well as nodal efficiency (F = 6.930, pFDR < 0.001) and nodal degree (F = 5.884, pFDR < 0.001) in the left postcentral gyrus. We found no significant alterations in patients with major depressive disorder. Post hoc analyses revealed that compared with healthy controls, patients in the schizophrenia and bipolar disorder groups showed decreased global network efficiency, nodal efficiency and nodal degree in the left middle occipital gyrus. Furthermore, patients in the schizophrenia group showed decreased nodal efficiency and nodal degree in the left postcentral gyrus compared with healthy controls.
Our findings could have been confounded in part by treatment differences.
Our findings implicate graded white matter network alterations across the 3 disorders, enhancing our understanding of shared and distinct pathophysiological mechanisms across diagnoses and providing vital insights into neuroimaging-based methods for diagnosis and research.
白质网络改变越来越多地与重度抑郁症、双相情感障碍和精神分裂症相关。本研究的目的是确定这三种疾病中共同的和独特的白质网络改变。
我们使用协方差分析，将年龄和性别作为协变量，来研究123例精神分裂症患者、123例双相情感障碍患者、124例重度抑郁症患者和209名健康对照者的白质网络改变。
我们发现，在左中枕叶，全局网络效率（F = 3.386，p = 0.018）、节点效率（F = 8.015，经错误发现率校正后p < 0.001）和节点度（F = 5.971，校正后pFDR < 0.001）存在显著的组间差异，在左中央后回，节点效率（F = 6.930，校正后pFDR < 0.001）和节点度（F = 5.884，校正后pFDR < 0.001）也存在显著组间差异。我们发现重度抑郁症患者没有显著改变。事后分析显示，与健康对照相比，精神分裂症组和双相情感障碍组患者的左中枕叶全局网络效率、节点效率和节点度降低。此外，与健康对照相比，精神分裂症组患者左中央后回的节点效率和节点度降低。
我们的研究结果可能部分受到治疗差异的混淆。
我们的研究结果表明这三种疾病存在分级的白质网络改变，加深了我们对不同诊断中共同和独特病理生理机制的理解，并为基于神经影像学的诊断和研究方法提供了重要见解。
