Sugata Hisato, Iwane Fumiaki, Hayward William, Azzollini Valentina, Dash Debadatta, Salamanca-Giron Roberto F, Bönstrup Marlene, Buch Ethan R, Cohen Leonardo G
Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA.
Faculty of Welfare and Health Science, Oita University, Oita, Japan.
bioRxiv. 2024 Nov 21:2024.11.20.624544. doi: 10.1101/2024.11.20.624544.
Early skill learning develops in the context of activity changes in distributed cortico-subcortical regions. Here, we investigated network hubs-centers of information integration and transmission-within the brain network supporting early skill learning. We recorded magnetoencephalographic (MEG) brain activity in healthy human subjects who learned a moderately difficult sequence skill with their non-dominant left hand. We then computed network hub strength by summing top 10% functional connectivity over 86 parcellated brain regions (AAL3 atlas) and five brain oscillatory frequency bands (alpha, low-, high-beta, low- and high-gamma). Virtually all skill gains developed during rest intervals of early learning (micro-offline gains). MEG hub strength in the alpha band (8-13Hz) in bilateral anterior cingulate (ACC) and caudate and in the low-beta band (13-16Hz) in bilateral caudate and right putamen correlated with micro-offline gains. These regions linked strongly with the hippocampus, parahippocampal cortex, and lingual and fusiform gyri. Thus, alpha and low-beta brain oscillatory activity in cingulate and striatal regions appear to contribute as hubs of information integration and transmission during early skill learning.
早期技能学习是在分布式皮质-皮质下区域的活动变化背景下发展的。在此，我们研究了支持早期技能学习的脑网络中的网络枢纽——信息整合与传输中心。我们记录了健康人类受试者用非优势左手学习中等难度序列技能时的脑磁图（MEG）脑活动。然后，我们通过对86个脑区（AAL3图谱）和五个脑振荡频段（α、低β、高β、低γ和高γ）中前10%的功能连接性进行求和来计算网络枢纽强度。几乎所有的技能提升都发生在早期学习的休息间隔期间（微离线增益）。双侧前扣带回（ACC）和尾状核的α频段（8 - 13Hz）以及双侧尾状核和右侧壳核的低β频段（13 - 16Hz）的MEG枢纽强度与微离线增益相关。这些区域与海马体、海马旁皮质以及舌回和梭状回紧密相连。因此，扣带回和纹状体区域的α和低β脑振荡活动似乎在早期技能学习期间作为信息整合与传输的枢纽发挥作用。
