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Aberrant cerebellar connectivity in motor and association networks in schizophrenia

机译:精神分裂症的运动和联想网络中的小脑连接异常

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摘要

Schizophrenia is a devastating illness characterized by disturbances in multiple domains. The cerebellum is involved in both motor and non-motor functions, and the “cognitive dysmetria” and “dysmetria of thought” models propose that abnormalities of the cerebellum may contribute to schizophrenia signs and symptoms. The cerebellum and cerebral cortex are reciprocally connected via a modular, closed-loop network architecture, but few schizophrenia neuroimaging studies have taken into account the topographical and functional heterogeneity of the cerebellum. In this study, using a previously defined 17-network cerebral cortical parcellation system as the basis for our functional connectivity seeds, we systematically investigated connectivity abnormalities within the cerebellum of 44 schizophrenia patients and 28 healthy control participants. We found selective alterations in cerebro-cerebellar functional connectivity. Specifically, schizophrenia patients showed decreased cerebro-cerebellar functional connectivity in higher level association networks (ventral attention, salience, control, and default mode networks) relative to healthy control participants. Schizophrenia patients also showed increased cerebro-cerebellar connectivity in somatomotor and default mode networks, with the latter showing no overlap with the regions found to be hypoconnected within the same default mode network. Finally, we found evidence to suggest that somatomotor and default mode networks may be inappropriately linked in schizophrenia. The relationship of these dysconnectivities to schizophrenia symptoms, such as neurological soft signs and altered sense of agency, is discussed. We conclude that the cerebellum ought to be considered for analysis in all future studies of network abnormalities in SZ, and further suggest the cerebellum as a potential target for further elucidation, and possibly treatment, of the underlying mechanisms and network abnormalities producing symptoms of schizophrenia.
机译:精神分裂症是一种破坏性疾病,其特征在于多个领域的紊乱。小脑参与运动和非运动功能,“认知障碍”和“思维障碍”模型提示小脑异常可能导致精神分裂症的体征和症状。小脑和大脑皮层通过模块化的闭环网络体系相互连接,但很少有精神分裂症神经影像学研究考虑到小脑的地形和功能异质性。在这项研究中,使用先前定义的17个网络的大脑皮层分裂系统作为我们功能性连接种子的基础,我们系统地调查了44位精神分裂症患者和28位健康对照者小脑内的连接异常。我们发现脑小脑功能连接的选择性改变。具体而言,精神分裂症患者相对于健康对照组的参与者,在较高水平的关联网络(腹部注意力,显着性,控制和默认模式网络)中显示出小脑-小脑功能连接性下降。精神分裂症患者在躯体运动和默认模式网络中还显示出增强的脑小脑连接性,后者与在相同默认模式网络中被发现连接不足的区域没有重叠。最后,我们发现证据表明,在精神分裂症中体运动和默认模式网络可能不适当地联系在一起。讨论了这些不连通性与精神分裂症症状(如神经系统软体征和改变的活动意识)之间的关系。我们得出结论,在深圳的所有未来网络异常研究中均应考虑对小脑进行分析,并进一步建议将小脑作为进一步阐明和可能治疗产生精神分裂症症状的潜在机制和网络异常的潜在目标。

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