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Changes in effective connectivity between motor and sensory regions in finger movement task

机译:手指运动任务中电动机和感官区域有效连通性的变化

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A challenging question lies in how brain distant regions are integrated into an orderly unity in a movement task. Integration of Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) data yields the possibility of studying the temporal dynamics of brain network involved in visumotor task. The aim of this paper is to investigate the brain dynamic sensory-motor network associated with finger movement. To this end we modeled brain activity by combining fMRI and EEG using fMRI-driven EEG analysis approach. The EEG and fMRI data was obtained from two healthy subjects during a key pressing task. Dynamic Causal Modeling (DCM) was employed to extract connectivity changes between sources. According to fMRI analysis, significant activation was detected in primary motor cortex, somatosensory, cerebellum, precuneus and visual areas. Comparisons of 18 models showed that precuneus and cerebellum receive the visual information directly from visual cortex. Dynamic changes of effective connectivity demonstrated 6 times increase in exertion of cerebellum on the primary motor cortex in left hand movement in relative to non-movement period. According to the best model interactions between somatosensory area and precuneus decreased during finger movement period. Connectivity strength between visual and precuneus had no changes.
机译:一个具有挑战性的问题在于大脑远处地区如何在运动任务中融入有序的统一。脑电图(EEG)和功能磁共振成像(FMRI)数据的集成产生了研究涉及visumotor任务的脑网络的时间动态的可能性。本文的目的是研究与手指运动相关的大脑动态感官电机网络。为此,我们通过使用FMRI驱动的EEG分析方法组合FMRI和EEG来建模大脑活动。在关键按压任务期间从两个健康受试者获得EEG和FMRI数据。使用动态因果建模(DCM)来提取源之间的连接变化。根据FMRI分析,在初级运动皮层,躯体囊肿,小脑,前守和视觉区域中检测到显着的激活。 18个模型的比较显示前言和小脑直接从Visual Cortex接收视觉信息。有效连通性的动态变化表明,在左手运动中施工在初级电机皮层中的施加量增加了6倍,相对于非运动期。根据手指运动期间的躯体感觉区域和前躯之间的最佳模型相互作用。 Visual和Priveus之间的连接强度没有变化。

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