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<p>Visual-motor task processing relies on neurovascular coupling (NVC), a neuro-hemodynamic interaction phenomenon. The brain's short-term effects following visual-motor tasks and the underlying mechanisms remain largely unexplored. We developed a novel NVC-based dynamical model comprising multiple topologically coupled node units with intrinsic heterogeneity. Each node integrates a reverse neural mass model (RNMM) and a metabolic-hemodynamic model (MHM), interconnected via biophysically meaningful network connectivity matrix to enable cross-node interactions. The results show that, first, the model accurately replicated dynamic signatures during pre- and post-visual-motor task conditions, elucidating the NVC-mediated mechanism. Second, sustained elevation of transient metabolic-hemodynamic effects was observed in task-relevant regions (e.g., cuneus) post-task execution. Third, these short-term dynamical effects were jointly driven by NVC mechanisms and excitatory–inhibitory (E–I) balance regulation. In conclusion, our dynamical modeling approach elucidates the short-term effects jointly mediated by multiple mechanisms following visual-motor tasks, providing novel methodological and theoretical insights for understanding the cognitive mechanisms of brain function.</p>

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Dynamical insights from a heterogeneous whole-brain model of pre vs. post visual-motor task

  • 期刊论文

  • 发表日期：

    2025年9月26日

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  • Tongna Wang,
  • Youjun Liu,
  • Bao Li,
  • Ruoyao Xu,
  • Yuejuan Xu,
  • Yang Yang,
  • Yili Feng,
  • Liyuan Zhang

摘要

Visual-motor task processing relies on neurovascular coupling (NVC), a neuro-hemodynamic interaction phenomenon. The brain's short-term effects following visual-motor tasks and the underlying mechanisms remain largely unexplored. We developed a novel NVC-based dynamical model comprising multiple topologically coupled node units with intrinsic heterogeneity. Each node integrates a reverse neural mass model (RNMM) and a metabolic-hemodynamic model (MHM), interconnected via biophysically meaningful network connectivity matrix to enable cross-node interactions. The results show that, first, the model accurately replicated dynamic signatures during pre- and post-visual-motor task conditions, elucidating the NVC-mediated mechanism. Second, sustained elevation of transient metabolic-hemodynamic effects was observed in task-relevant regions (e.g., cuneus) post-task execution. Third, these short-term dynamical effects were jointly driven by NVC mechanisms and excitatory–inhibitory (E–I) balance regulation. In conclusion, our dynamical modeling approach elucidates the short-term effects jointly mediated by multiple mechanisms following visual-motor tasks, providing novel methodological and theoretical insights for understanding the cognitive mechanisms of brain function.