Benito-León Julián, Louis Elan D, Romero Juan Pablo, Hernández-Tamames Juan Antonio, Manzanedo Eva, Álvarez-Linera Juan, Bermejo-Pareja Félix, Posada Ignacio, Rocon Eduardo
From the Department of Neurology, University Hospital "12 de Octubre", Madrid (JB-L, FB-P, IP); Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED) (JB-L, FB-P); Department of Medicine, Complutense University, Madrid, Spain (JB-L, FB-P, IP); Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT, USA (EDL); Faculty of Biosanitary Sciences, Francisco de Vitoria University, Pozuelo de Alarcón (JPR); Neuroimaging Laboratory, Center for Biomedical Technology, Rey Juan Carlos University, Móstoles (JAH-T, EM); Department of Radiology, Hospital Ruber International, Madrid (JA-L); and Neural and Cognitive Engineering group, CAR, UPM-CSIC, CSIC, La Poveda - Arganda del Rey, Spain (ER).
Medicine (Baltimore). 2015 Dec;94(49):e1936. doi: 10.1097/MD.0000000000001936.
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.
特发性震颤(ET)与一系列临床特征相关,包括运动和非运动因素,其中还包括认知缺陷。我们采用静息态功能磁共振成像(fMRI)来评估可能参与ET相关非运动表现发病机制的脑网络是否发生改变,以及异常连接与ET严重程度和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,对23例ET患者(12名女性和11名男性)和22名健康对照者(HC)(12名女性和10名男性)的静息态fMRI数据进行分析,以识别静息态网络(RSN)(默认模式网络[DMN]、执行网络、额顶叶网络、感觉运动网络、小脑网络、听觉/语言网络和视觉网络)的组间差异。所有参与者均接受了神经心理学和神经影像学检查,并采集了静息态数据。相对于HC,ET患者在参与认知过程的RSN(DMN和额顶叶网络)中连接性增加,而在小脑网络和视觉网络中连接性降低。网络完整性的变化不仅与ET严重程度(DMN)和ET病程(DMN和左侧额顶叶网络)相关,还与认知能力相关。此外,在至少3个网络(DMN和额顶叶网络)中,连接性增加与不同认知领域(注意力、执行功能、视觉空间能力、言语记忆、视觉记忆和语言)的较差表现以及抑郁症状相关。此外,在视觉网络中,连接性降低与视觉空间能力的较差表现相关。ET与可能参与运动和非运动症状的主要RSN中的异常脑连接相关。我们的研究结果强调了在该人群中检查RSN作为疾病生物标志物的重要性。