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Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network

机译:对两个区域之间的连通性进行功能性MRI神经反馈训练会导致内在功能网络的持久变化

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Motor or perceptual learning is known to influence functional connectivity between brain regions and induce short-term changes in the intrinsic functional networks revealed as correlations in slow blood-oxygen-level dependent (BOLD) signal fluctuations. However, no cause-and-effect relationship has been elucidated between a specific change in connectivity and a long-term change in global networks. Here, we examine the hypothesis that functional connectivity (i.e., temporal correlation between two regions) is increased and preserved for a long time when two regions are simultaneously activated or deactivated. Using the connectivity-neurofeedback training paradigm, subjects successfully learned to increase the correlation of activity between the lateral parietal and primary motor areas, regions that belong to different intrinsic networks and negatively correlated before training under the resting conditions. Furthermore, whole-brain hypothesis-free analysis as well as functional network analyses demonstrated that the correlation in the resting state between these areas as well as the correlation between the intrinsic networks that include the areas increased for at least 2 months. These findings indicate that the connectivity-neurofeedback training can cause long-term changes in intrinsic connectivity and that intrinsic networks can be shaped by experience-driven modulation of regional correlation.
机译:已知运动或知觉学习会影响大脑区域之间的功能连接,并导致内在功能网络中的短期变化,这些变化显示为慢血氧水平依赖性(BOLD)信号波动的相关性。但是,在连接性的特定变化与全球网络的长期变化之间,尚没有阐明因果关系。在这里,我们检查了以下假设:当同时激活或停用两个区域时,功能连接性(即两个区域之间的时间相关性)会增加并保留很长时间。使用连接性-神经反馈训练范例,受试者成功地学习到增加壁旁和主运动区域之间的活动相关性,这些区域属于不同的内在网络,并且在休息条件下进行训练之前呈负相关。此外,无脑假设分析和功能网络分析表明,这些区域之间在静止状态下的相关性以及包括这些区域在内的内在网络之间的相关性至少增加了2个月。这些发现表明,连通性神经反馈训练可以导致内在连通性的长期变化,并且内在网络可以由经验驱动的区域相关性调制来塑造。

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