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Transdiagnostic Dysfunctions in Brain Modules Across Patients with Schizophrenia, Bipolar Disorder, and Major Depressive Disorder: A Connectome-Based Study.
Schizophrenia Bulletin ( IF 6.6 ) Pub Date : 2019-11-22 , DOI: 10.1093/schbul/sbz111
Qing Ma 1, 2, 3 , Yanqing Tang 4, 5 , Fei Wang 4, 5 , Xuhong Liao 1, 2, 3 , Xiaowei Jiang 6 , Shengnan Wei 6 , Andrea Mechelli 7 , Yong He 1, 2, 3 , Mingrui Xia 1, 2, 3
Affiliation  

Psychiatric disorders, including schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD), share clinical and neurobiological features. Because previous investigations of functional dysconnectivity have mainly focused on single disorders, the transdiagnostic alterations in the functional connectome architecture of the brain remain poorly understood. We collected resting-state functional magnetic resonance imaging data from 512 participants, including 121 with SCZ, 100 with BD, 108 with MDD, and 183 healthy controls. Individual functional brain connectomes were constructed in a voxelwise manner, and the modular architectures were examined at different scales, including (1) global modularity, (2) module-specific segregation and intra- and intermodular connections, and (3) nodal participation coefficients. The correlation of these modular measures with clinical scores was also examined. We reliably identify common alterations in modular organization in patients compared to controls, including (1) lower global modularity; (2) lower modular segregation in the frontoparietal, subcortical, visual, and sensorimotor modules driven by more intermodular connections; and (3) higher participation coefficients in several network connectors (the dorsolateral prefrontal cortex and angular gyrus) and the thalamus. Furthermore, the alterations in the SCZ group are more widespread than those of the BD and MDD groups and involve more intermodular connections, lower modular segregation and higher connector integrity. These alterations in modular organization significantly correlate with clinical scores in patients. This study demonstrates common hyper-integrated modular architectures of functional brain networks among patients with SCZ, BD, and MDD. These findings reveal a transdiagnostic mechanism of network dysfunction across psychiatric disorders from a connectomic perspective.

中文翻译:

精神分裂症,双相情感障碍和重度抑郁症患者脑模块的转诊功能障碍:一项基于连接基因组的研究。

精神分裂症(SCZ),躁郁症(BD)和重度抑郁症(MDD)等精神疾病具有共同的临床和神经生物学特征。由于以前对功能不连通性的研究主要集中在单一疾病上,因此人们对大脑功能性连接体结构的转诊诊断改变知之甚少。我们收集了来自512名参与者的静息状态功能磁共振成像数据,包括121名SCZ,100名BD,108名MDD和183名健康对照。各个功能性脑部连接体以体素方式构建,并在不同规模上检查了模块化体系结构,包括(1)整体模块化,(2)特定于模块的隔离以及模块内和模块间的连接以及(3)节点参与系数。还检查了这些模块化指标与临床评分的相关性。与对照组相比,我们可靠地确定了患者模块化组织中的常见变化,其中包括:(1)较低的整体模块化;(2)由更多的模块间连接驱动的额顶,皮层下,视觉和感觉运动模块中的模块隔离较低;(3)多个网络连接器(背外侧前额叶皮层和角回)和丘脑的参与系数更高。此外,SCZ组中的更改比BD和MDD组中的更改更广泛,涉及更多的模块间连接,较低的模块隔离和较高的连接器完整性。模块化组织中的这些改变与患者的临床评分显着相关。这项研究证明了SCZ,BD和MDD患者之间常见的功能脑网络的超集成模块化体系结构。从结缔组织学的角度来看,这些发现揭示了跨精神疾病的网络功能障碍的诊断方法。
更新日期:2020-04-17
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