Dataset Information

White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals.

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.

SUBMITTER: Koshiyama D

PROVIDER: S-EPMC7156346 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals.

Koshiyama Daisuke D Fukunaga Masaki M Okada Naohiro N Morita Kentaro K Nemoto Kiyotaka K Usui Kaori K Yamamori Hidenaga H Yasuda Yuka Y Fujimoto Michiko M Kudo Noriko N Azechi Hirotsugu H Watanabe Yoshiyuki Y Hashimoto Naoki N Narita Hisashi H Kusumi Ichiro I Ohi Kazutaka K Shimada Takamitsu T Kataoka Yuzuru Y Yamamoto Maeri M Ozaki Norio N Okada Go G Okamoto Yasumasa Y Harada Kenichiro K Matsuo Koji K Yamasue Hidenori H Abe Osamu O Hashimoto Ryuichiro R Takahashi Tsutomu T Hori Tomoki T Nakataki Masahito M Onitsuka Toshiaki T Holleran Laurena L Jahanshad Neda N van Erp Theo G M TGM Turner Jessica J Donohoe Gary G Thompson Paul M PM Kasai Kiyoto K Hashimoto Ryota R

Molecular psychiatry 20191129 4

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 comp ...[more]

PMID: 31780770

Similar Datasets

Project description:BackgroundNeuroimage literature of autism spectrum disorder (ASD) has a moderate-to-high risk of bias, partially because those combined with intellectual impairment (II) and/or minimally verbal (MV) status are generally ignored. We aimed to provide more comprehensive insights into white matter alterations of ASD, inclusive of individuals with II (ASD-II-Only) or MV expression (ASD-MV).MethodsSixty-five participants with ASD (ASD-Whole; 16.6 ± 5.9 years; comprising 34 intellectually able youth, ASD-IA, and 31 intellectually impaired youth, ASD-II, including 24 ASD-II-Only plus 7 ASD-MV) and 38 demographic-matched typically developing controls (TDC; 17.3 ± 5.6 years) were scanned in accelerated diffusion-weighted MRI. Fixel-based analysis was undertaken to investigate the categorical differences in fiber density (FD), fiber cross section (FC), and a combined index (FDC), and brain symptom/cognition associations.ResultsASD-Whole had reduced FD in the anterior and posterior corpus callosum and left cerebellum Crus I, and smaller FDC in right cerebellum Crus II, compared to TDC. ASD-IA, relative to TDC, had no significant discrepancies, while ASD-II showed almost identical alterations to those from ASD-Whole vs. TDC. ASD-II-Only had greater FD/FDC in the isthmus splenium of callosum than ASD-MV. Autistic severity negatively correlated with FC in right Crus I. Nonverbal full-scale IQ positively correlated with FC/FDC in cerebellum VI. FD/FDC of the right dorsolateral prefrontal cortex showed a diagnosis-by-executive function interaction.LimitationsWe could not preclude the potential effects of age and sex from the ASD cohort, although statistical tests suggested that these factors were not influential. Our results could be confounded by variable psychiatric comorbidities and psychotropic medication uses in our ASD participants recruited from outpatient clinics, which is nevertheless closer to a real-world presentation of ASD. The outcomes related to ASD-MV were considered preliminaries due to the small sample size within this subgroup. Finally, our study design did not include intellectual impairment-only participants without ASD to disentangle the mixture of autistic and intellectual symptoms.ConclusionsASD-associated white matter alterations appear driven by individuals with II and potentially further by MV. Results suggest that changes in the corpus callosum and cerebellum are key for psychopathology and cognition associated with ASD. Our work highlights an essential to include understudied subpopulations on the spectrum in research.

Dataset Information

White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals.

Publications

White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets