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<p>Depression involves dysregulation across distributed cortico-limbic circuits, and ketamine is notable for its rapid antidepressant effects. Although depression and ketamine treatment have been linked to altered brain network topology, how within-frequency and cross-frequency coupling are jointly reorganized at the brain-wide level remains unclear. Here, we developed a frequency-varying multilayer brain functional network (FMBFN) framework to analyze local field potential recordings from eight brain regions in male C57BL/6 mice. This framework integrates within- and cross-frequency coupling and extracts multi-scale network features to characterize brain network structure. Applying this approach in the chronic social defeat stress (CSDS) model, we found that CSDS was associated with frequency-specific hyperconnectivity and selective alterations in network integration during social interaction. Ketamine reversed social avoidance and induced the distinct reorganization of multilayer network topology, including region-specific nodal changes. Notably, the lateral habenula showed the response pattern opposite to that of the other recorded regions. As an exploratory cross-modal extension, we further examined gut microbial features and found that specific ketamine-associated microbial changes were linked to global network topology, suggesting candidate gut-brain association patterns. Together, these findings establish the FMBFN framework as a systems-level tool for characterizing brain-wide neural dynamics in psychiatric disorders and for linking network-level alterations to biological contexts.</p>

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Multilayer brain network analysis in mice reveals ketamine-induced reorganization of brain- wide fluctuations and gut-brain axis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月3日

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  • Fengkai He,
  • Xiaojun Xu,
  • Yuqi Zhu,
  • Jiahui Lu,
  • Jie Liu,
  • Dongyong Guo,
  • Aili Liu,
  • Wenwen Bai,
  • Xuyuan Zheng,
  • Baolin Guo,
  • Tiaotiao Liu

摘要

Depression involves dysregulation across distributed cortico-limbic circuits, and ketamine is notable for its rapid antidepressant effects. Although depression and ketamine treatment have been linked to altered brain network topology, how within-frequency and cross-frequency coupling are jointly reorganized at the brain-wide level remains unclear. Here, we developed a frequency-varying multilayer brain functional network (FMBFN) framework to analyze local field potential recordings from eight brain regions in male C57BL/6 mice. This framework integrates within- and cross-frequency coupling and extracts multi-scale network features to characterize brain network structure. Applying this approach in the chronic social defeat stress (CSDS) model, we found that CSDS was associated with frequency-specific hyperconnectivity and selective alterations in network integration during social interaction. Ketamine reversed social avoidance and induced the distinct reorganization of multilayer network topology, including region-specific nodal changes. Notably, the lateral habenula showed the response pattern opposite to that of the other recorded regions. As an exploratory cross-modal extension, we further examined gut microbial features and found that specific ketamine-associated microbial changes were linked to global network topology, suggesting candidate gut-brain association patterns. Together, these findings establish the FMBFN framework as a systems-level tool for characterizing brain-wide neural dynamics in psychiatric disorders and for linking network-level alterations to biological contexts.