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Altered Functional Connectivity in Essential Tremor: A Resting-State fMRI Study

机译:原发性震颤中功能连接的改变:静态fMRI研究

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Essential tremor (ET) has been associated with a spectrum of clinical features, with both motor and nonmotor elements, including cognitive deficits. We employed resting-state functional magnetic resonance imaging (fMRI) to assess whether brain networks that might be involved in the pathogenesis of nonmotor manifestations associated with ET are altered, and the relationship between abnormal connectivity and ET severity and neuropsychological function. Resting-state fMRI data in 23 ET patients (12 women and 11 men) and 22 healthy controls (HC) (12 women and 10 men) were analyzed using independent component analysis, in combination with a “dual-regression” technique, to identify the group differences of resting-state networks (RSNs) (default mode network [DMN] and executive, frontoparietal, sensorimotor, cerebellar, auditory/language, and visual networks). All participants underwent a neuropsychological and neuroimaging session, where resting-state data were collected. Relative to HC, ET patients showed increased connectivity in RSNs involved in cognitive processes (DMN and frontoparietal networks) and decreased connectivity in the cerebellum and visual networks. Changes in network integrity were associated not only with ET severity (DMN) and ET duration (DMN and left frontoparietal network), but also with cognitive ability. Moreover, in at least 3 networks (DMN and frontoparietal networks), increased connectivity was associated with worse performance on different cognitive domains (attention, executive function, visuospatial ability, verbal memory, visual memory, and language) and depressive symptoms. Further, in the visual network, decreased connectivity was associated with worse performance on visuospatial ability. ET was associated with abnormal brain connectivity in major RSNs that might be involved in both motor and nonmotor symptoms. Our findings underscore the importance of examining RSNs in this population as a biomarker of disease.
机译:原发性震颤(ET)与一系列临床特征相关,包括运动和非运动因素,包括认知缺陷。我们采用静息状态功能磁共振成像(fMRI)来评估可能与ET相关的非运动型表现的发病机制中涉及的脑网络是否发生了改变,以及异常连通性与ET严重程度与神经心理功能之间的关系。使用独立成分分析结合“双回归”技术,分析了23例ET患者(12名女性和11名男性)和22名健康对照(HC)(12名女性和10名男性)的静息状态fMRI数据,以确定静止状态网络(RSN)(默认模式网络[DMN]和执行,额顶,感觉运动,小脑,听觉/语言和视觉网络)的组差异。所有参与者进行了一次神经心理学和神经影像学会议,收集了静息状态数据。相对于HC,ET患者在参与认知过程(DMN和额叶额叶网络)的RSN中显示出增加的连通性,在小脑和视觉网络中表现出降低的连通性。网络完整性的变化不仅与ET严重程度(DMN)和ET持续时间(DMN和左额顶叶网络)有关,而且与认知能力有关。此外,在至少3个网络(DMN和额叶额叶网络)中,增加的连通性与在不同认知域(注意力,执行功能,视觉空间能力,语言记忆,视觉记忆和语言)和抑郁症状的较差表现相关。此外,在视觉网络中,连接性下降与视觉空间功能的较差性能相关。 ET与主要RSN中的大脑连接异常有关,可能与运动和非运动症状有关。我们的发现强调了在该人群中检查RSN作为疾病的生物标志物的重要性。

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