White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals
Year: 2019
Type: review
Abstract: Identifying both the commonalities and differences in brain structures among psychiatric disorders is important for understanding the pathophysiology. Recently, the ENIGMA-Schizophrenia DTI Working Group performed a large-scale meta-analysis and reported widespread white matter microstructural alterations in schizophrenia; however, no similar cross-disorder study has been carried out to date. Here, we conducted mega-analyses comparing white matter microstructural differences between healthy comparison subjects (HCS; N = 1506) and patients with schizophrenia (N = 696), bipolar disorder (N = 211), autism spectrum disorder (N = 126), or major depressive disorder (N = 398; total N = 2937 from 12 sites). In comparison with HCS, we found that schizophrenia, bipolar disorder, and autism spectrum disorder share similar white matter microstructural differences in the body of the corpus callosum; schizophrenia and bipolar disorder featured comparable changes in the limbic system, such as the fornix and cingulum. By comparison, alterations in tracts connecting neocortical areas, such as the uncinate fasciculus, were observed only in schizophrenia. No significant difference was found in major depressive disorder. In a direct comparison between schizophrenia and bipolar disorder, there were no significant differences. Significant differences between schizophrenia/bipolar disorder and major depressive disorder were found in the limbic system, which were similar to the differences in schizophrenia and bipolar disorder relative to HCS. While schizophrenia and bipolar disorder may have similar pathological characteristics, the biological characteristics of major depressive disorder may be close to those of HCS. Our findings provide insights into nosology and encourage further investigations of shared and unique pathophysiology of psychiatric disorders.
Source: Molecular Psychiatry
Authors: Daisuke Koshiyama, Masaki Fukunaga, Naohiro Okada, Kentaro Morita, Kiyotaka Nemoto, Kaori Usui, Hidenaga Yamamori, Yuka Yasuda, Michiko Fujimoto, Noriko Kudo, Hirotsugu Azechi, Yoshiyuki Watanabe, Naoki Hashimoto, Hisashi Narita, Ichiro Kusumi, Kazutaka Ohi, Takamitsu Shimada, Yuzuru Kataoka, Maeri Yamamoto, Norio Ozaki, Go Okada, Yasumasa Okamoto, Kenichiro Harada, Koji Matsuo, Hidenori Yamasue, Osamu Abe, Ryuichiro Hashimoto, Tsutomu Takahashi, Tomoki Hori, Masahito Nakataki, Toshiaki Onitsuka, Laurena Holleran, Neda Jahanshad, Theo G. M. van Erp, Jessica Turner, Gary Donohoe, Paul M. Thompson, Kiyoto Kasai, Ryota Hashimoto, COCORO
Institutions: The University of Tokyo, National Institute for Physiological Sciences, International Research Center for Neurointelligence, The University of Tokyo, University of Tsukuba, The University of Osaka, National Center of Neurology and Psychiatry, National Institute of Mental Health, Molecular Research Center for Children's Mental Development, Hokkaido University, Kanazawa Medical University, Nagoya University, Hiroshima University, Yamaguchi University, Saitama Medical University, Hamamatsu University, Hamamatsu University School of Medicine, SHOWA Medical University, SHOWA Medical University Medical Institute of Developmental Disabilities Research, University of Toyama, Kyoto University, Tokushima University Hospital, Kyushu University, Ollscoil na Gaillimhe – University of Galway, University of Southern California, University of California, Irvine, Georgia State University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,390
Awards: Mechanism of eye movement abnormality as an endophenotype in patients with schizophrenia, G1446042586, G1806741971, G2257467825, G2392561887, Advanced Bioimaging Support, Developing a comprehensive and interactive e-learning system of neuroimaging, G2857907011, G3187732477, Development of in vivo cortical segmental mapping using 7 tesla ultra-high field MRI, Elucidating the primate basis of neurobiological mechanisms underlying developmental disorders, Development of biomarkers for predicting disease progression and treatment response for schizophrenia using large-scale patient resources and iPS technology., Development of a new diagnostic system based on brain pathophysiology of psychiatric disorders using multidimensional neuroimaging and genomics, G4086297376, G4259975511, Imaging GWAS : genome wide association study of cortical volumes in Japanese population, G4591754527, G4789625098, G4802793084, G4912454879, G4982553196, Identification of the effect of copy number variations associated with schizophrenia on brain networks, 大規模脳画像解析とヒト―霊長類トランスレータブル脳・行動指標開発にもとづく精神・神経疾患の病態神経回路解明, G5877274959, G6768258031, G7145242906, G7265025122, G7385674875, G7782321038, Development of measurement technology for excitatory and inhibitory brain network dynamics using ultra high field 7T MRI., G8860921842, Biomarkers of patients with clozapine-resistant schizophrenia, Mega-analysis of brain structure vulnerability of schizophrenia, G949648287
OpenAlex ID: W2989787606