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This study investigated the effects of repetitive transcranial magnetic stimulation (rTMS) on theta and alpha band dynamics within brain networks in Alzheimer’s disease (AD) patients. We analyzed cognitive task state data during rTMS, focusing specifically on changes across the encoding, maintenance, and retrieval phases of working memory (WM). Dynamic functional connectivity (dFC) matrices were used to analyze graph-theoretic topological properties of brain networks. Furthermore, we examined the correlation between alterations in the topological properties of these dynamic brain networks and changes in WM performance metrics as well as clinical scale scores. Based on our results, we provide a comprehensive discussion on how rTMS influences the dynamic characteristics of WM brain networks in AD patients. This work offers a theoretical foundation for understanding the mechanisms by which rTMS may improve WM performance in AD, highlighting its potential therapeutic implications.

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Modulation of Dynamic Functional Connectivity by rTMS During Working Memory Performance in AD

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Jiaojiao Gao,
  • Miaomiao Guo,
  • Tian Wang,
  • Lin Liu,
  • Hao Wu,
  • Yong Ji,
  • Pan Wang,
  • Guizhi Xu

摘要

This study investigated the effects of repetitive transcranial magnetic stimulation (rTMS) on theta and alpha band dynamics within brain networks in Alzheimer’s disease (AD) patients. We analyzed cognitive task state data during rTMS, focusing specifically on changes across the encoding, maintenance, and retrieval phases of working memory (WM). Dynamic functional connectivity (dFC) matrices were used to analyze graph-theoretic topological properties of brain networks. Furthermore, we examined the correlation between alterations in the topological properties of these dynamic brain networks and changes in WM performance metrics as well as clinical scale scores. Based on our results, we provide a comprehensive discussion on how rTMS influences the dynamic characteristics of WM brain networks in AD patients. This work offers a theoretical foundation for understanding the mechanisms by which rTMS may improve WM performance in AD, highlighting its potential therapeutic implications.