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学习过程中脑电生理网络的动态重塑

Dynamic rewiring of electrophysiological brain networks during learning.

作者信息

Ruggeri Paolo, Miehlbradt Jenifer, Kabbara Aya, Hassan Mahmoud

机构信息

Brain Electrophysiology Attention Movement Laboratory, Institute of Psychology, University of Lausanne, Switzerland.

Lebanese Association for Scientific Research, Tripoli, Lebanon.

出版信息

Netw Neurosci. 2023 Jun 30;7(2):578-603. doi: 10.1162/netn_a_00289. eCollection 2023.

Abstract

Human learning is an active and complex process. However, the brain mechanisms underlying human skill learning and the effect of learning on the communication between brain regions, at different frequency bands, are still largely unknown. Here, we tracked changes in large-scale electrophysiological networks over a 6-week training period during which participants practiced a series of motor sequences during 30 home training sessions. Our findings showed that brain networks become more flexible with learning in all the frequency bands from theta to gamma ranges. We found consistent increase of flexibility in the prefrontal and limbic areas in the theta and alpha band, and over somatomotor and visual areas in the alpha band. Specific to the beta rhythm, we revealed that higher flexibility of prefrontal regions during the early stage of learning strongly correlated with better performance measured during home training sessions. Our findings provide novel evidence that prolonged motor skill practice results in higher, frequency-specific, temporal variability in brain network structure.

摘要

人类学习是一个积极且复杂的过程。然而,人类技能学习背后的大脑机制以及学习对不同频段大脑区域间交流的影响,在很大程度上仍然未知。在此,我们追踪了在为期6周的训练期间大规模电生理网络的变化,在此期间参与者在30次家庭训练课程中练习了一系列运动序列。我们的研究结果表明,从θ波到γ波范围的所有频段中,大脑网络随着学习变得更加灵活。我们发现,在θ波和α波频段,前额叶和边缘区域的灵活性持续增加,在α波频段,躯体运动和视觉区域的灵活性也持续增加。对于β节律而言,我们发现学习早期前额叶区域较高的灵活性与家庭训练课程中测得的更好表现密切相关。我们的研究结果提供了新的证据,表明长期的运动技能练习会导致大脑网络结构出现更高的、特定频率的时间变异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7b/10312289/486372330677/netn-7-2-578-g001.jpg

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