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大脑解剖网络半球不对称性降低与精神分裂症有关:一项连接组学研究。

Reduced Hemispheric Asymmetry of Brain Anatomical Networks Is Linked to Schizophrenia: A Connectome Study.

作者信息

Sun Yu, Chen Yu, Collinson Simon L, Bezerianos Anastasios, Sim Kang

机构信息

Singapore Institute for Neurotechnology (SINAPSE), Centre for Life Sciences.

Department of Psychology, National University of Singapore, Singapore.

出版信息

Cereb Cortex. 2017 Jan 1;27(1):602-615. doi: 10.1093/cercor/bhv255.

Abstract

Despite convergent evidence indicating a variety of regional abnormalities of hemispheric asymmetry in schizophrenia, patterns of wider neural network asymmetry remain to be determined. In this study, we investigated alterations in hemispheric white matter topology in schizophrenia and their association with clinical manifestations of the illness. Weighted hemispheric brain anatomical networks were constructed for each of 116 right-handed patients with schizophrenia and 66 matched healthy participants. Graph theoretical approaches were then employed to estimate the hemispheric topological properties. We found that although small-world properties were preserved in the hemispheric network, a significant hemispheric-independent deficit of global integration was found in schizophrenia. Furthermore, a significant group-by-hemisphere interaction was revealed in the characteristic path length and global efficiency, attributing to significantly reduced hemispheric asymmetry of global integration in patients compared with healthy controls. Specifically, we found reduced asymmetric nodal efficiency in several frontal regions and the hippocampus. Finally, the abnormal hemispheric asymmetry of brain anatomical network topology was associated with clinical features (duration of illness and psychotic psychopathology) in patients. Our findings provide new insights into lateralized nature of hemispheric dysconnectivity and highlight the potential for using brain network measures of hemispheric asymmetry as neural biomarkers for schizophrenia and its clinical features.

摘要

尽管有趋同证据表明精神分裂症存在多种半球不对称的区域异常,但更广泛神经网络不对称的模式仍有待确定。在本研究中,我们调查了精神分裂症患者半球白质拓扑结构的改变及其与疾病临床表现的关联。为116名右利手精神分裂症患者和66名匹配的健康参与者分别构建了加权半球脑解剖网络。然后采用图论方法估计半球拓扑性质。我们发现,虽然半球网络保留了小世界特性,但在精神分裂症中发现了显著的与半球无关的全局整合缺陷。此外,在特征路径长度和全局效率方面发现了显著的组×半球交互作用,这归因于与健康对照相比,患者全局整合的半球不对称性显著降低。具体而言,我们发现几个额叶区域和海马体的不对称节点效率降低。最后,脑解剖网络拓扑结构的异常半球不对称与患者的临床特征(病程和精神病性精神病理学)相关。我们的研究结果为半球连接障碍的偏侧化性质提供了新的见解,并强调了使用半球不对称性的脑网络测量作为精神分裂症及其临床特征的神经生物标志物的潜力。

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