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Self-regulation of Primary Motor Cortex Activity with Motor Imagery Induces Functional Connectivity Modulation: A Real-Time fMRI Neurofeedback Study

机译:具有电动机图像的初级电机皮层活动的自调节诱导功能性连接调制:实时FMRI神经融合研究

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Recent developments in data acquisition of functional magnetic resonance imaging (fMRI) have led to rapid preprocessing and analysis of brain activity in a quasireal-time basis, what so called real-time fMRI neurofeedback (rtfMRI-NFB). This information is fed back to subjects allowing them to gain a voluntary control over their own region-specific brain activity. Forty-one healthy participants were randomized into an experimental (NFB) group, who received a feedback directly proportional to their brain activity from the primary motor cortex (M1), and a control (CTRL) group who received a sham feedback. The M1 ROI was functionally localized during motor execution and imagery tasks. A resting-state functional run was performed before and after the neurofeedback training to investigate the default mode network (DMN) modulation after training. The NFB group revealed increased DMN functional connectivity after training to the cortical and subcortical sensory/motor areas (M1/S1 and caudate nucleus, respectively), which may be associated with sensorimotor processing of learning in the resting state. These results show that motor imagery training through rtfMRI-NFB could modulate the DMN functional connectivity to motor-related areas, suggesting that this modulation potentially subserved the establishment of motor learning in the NFB group.
机译:最新的数据采集在功能磁共振成像(FMRI)的情况下导致了在Quasireal-you的基础上快速预处理和分析脑活动,所谓的实时FMRI神经融合(RTFMRI-NFB)。此信息送回受试者,使其能够获得自愿控制自己的地区特异性大脑活动。四十一位健康参与者被随机分为实验(NFB)组,该组接受了从主要电机皮层(M1)的大脑活动成比例的反馈,以及接受假反馈的控制(CTRL)组。 M1 ROI在电动机执行和图像任务期间在功能上局部化。在神经融合训练之前和之后进行休息状态运行,以研究训练后的默认模式网络(DMN)调制。 NFB组在训练到皮质和皮质波动感觉/电动机区域(分别是M1 / S1和尾部)之后的培训后​​揭示了增加的DMN功能连接,这可以与在静止状态下学习的感觉电流处理相关联。这些结果表明,通过RTFMRI-NFB的电机图像训练可以调节DMN功能连接到与电动机相关的区域,这表明该调制可能会在NFB组中潜在地区的建立。

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