Shuai Wang1, Gaolang Gong1, Suyu Zhong1, Jia Duan1, Zhiyang Yin1, Miao Chang1, Shengnan Wei1, Xiaowei Jiang1, Yifang Zhou1, Yanqing Tang1, Fei Wang1. 1. 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).
Abstract
Background: 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. Methods: 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. Results: 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. Limitations: Our findings could have been confounded in part by treatment differences. Conclusion: 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.
Background: 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. Methods: 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. Results: 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. Limitations: Our findings could have been confounded in part by treatment differences. Conclusion: 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.
Authors: Arash Nazeri; M Mallar Chakravarty; Daniel Felsky; Nancy J Lobaugh; Tarek K Rajji; Benoit H Mulsant; Aristotle N Voineskos Journal: Neuropsychopharmacology Date: 2013-04-16 Impact factor: 7.853
Authors: Cynthia M Bulik; Jonathan R I Coleman; J Andrew Hardaway; Lauren Breithaupt; Hunna J Watson; Camron D Bryant; Gerome Breen Journal: Nat Neurosci Date: 2022-05-06 Impact factor: 28.771