精神分裂症脑萎缩的异质模式定位于一个共同的脑网络

Ahmed T. Makhlouf, William Drew, Jacob L. Stubbs, Joseph J. Taylor, Donato Liloia, Jordan Grafman, David Silbersweig, Michael D. Fox, Shan H. Siddiqi
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摘要

理解精神分裂症的神经解剖学仍然是难以捉摸的,因为在神经影像学研究的异质发现。在这里,我们使用坐标网络映射元分析方法研究了与精神分裂症相关的脑萎缩模式是否定位于一个共同的脑网络。利用人类连接组作为接线图,我们确定了一个连接模式,一个精神分裂症网络,将来自90项已发表的精神分裂症萎缩研究的不同结果结合在一起(总共8,000项)。该网络是专门针对精神分裂症的,将其与精神疾病(n = 3038)、正常衰老(n = 4195)、神经退行性疾病(n = 3707)和其他精神疾病(n = 3432)高危个体的萎缩区分开来。该网络也随着疾病进展和不同的精神分裂症症状群而稳定。在一项独立队列研究中(n = 181),精神分裂症患者脑萎缩的模式与精神病相关思维过程相关的病变呈负相关。我们的研究结果提出了一个独特的、稳定的、统一的精神分裂症网络,解决了在以前的萎缩研究中观察到的异质性的重要部分。利用来自已发表的精神分裂症脑萎缩研究的异质性结果,作者确定了精神分裂症的共同脑网络,该网络随着疾病进展和不同的精神分裂症症状群而稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Heterogeneous patterns of brain atrophy in schizophrenia localize to a common brain network

Heterogeneous patterns of brain atrophy in schizophrenia localize to a common brain network
Understanding the neuroanatomy of schizophrenia remains elusive due to heterogeneous findings across neuroimaging studies. Here we investigated whether patterns of brain atrophy associated with schizophrenia would localize to a common brain network using a coordinate network mapping meta-analysis approach. Utilizing the human connectome as a wiring diagram, we identified a connectivity pattern, a schizophrenia network, uniting heterogeneous results from 90 published studies of atrophy in schizophrenia (total n > 8,000). This network was specific to schizophrenia, differentiating it from atrophy in individuals at high risk for psychosis (n = 3,038), normal aging (n = 4,195), neurodegenerative disorders (n = 3,707) and other psychiatric conditions (n = 3,432). The network was also stable with disease progression and across different clusters of schizophrenia symptoms. Patterns of brain atrophy in schizophrenia were negatively correlated with lesions linked to psychosis-related thought processes in an independent cohort (n = 181). Our results propose a unique, stable, and unified schizophrenia network, addressing a significant portion of the heterogeneity observed in previous atrophy studies. Utilizing heterogeneous results from the published studies on brain atrophy in schizophrenia, the authors identify a common brain network for schizophrenia that is stable with disease progression and across different clusters of schizophrenia symptoms.
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