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May 6, 2026Annals of Medicine0 citationsOpen Access

Post-task resting-state fMRI of walking-related neural activity in patients with stroke: immediate and delayed brain network dynamics

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HYHuixian YuCapital Medical UniversityHWHewei WangFudan UniversitySLSihao LiuSalk Institute for Biological Studies

Key Points

  • This research aims to analyze neural activity related to walking in stroke patients using fMRI post-task.
  • Examined ten patients with subcortical ischemic stroke and ten matched healthy controls.
  • Conducted two resting-state fMRI sessions: immediately after walking and after a 20-minute delay.
  • Utilized clinical assessments including Fugl-Meyer Assessment and Timed Up-and-Go Test.
  • Performed analyses using ALFF, functional connectivity, and graph theory.
  • Enhanced functional connectivity identified between contralesional S1 and ipsilesional sensorimotor regions.
  • ALFF changes and bilateral S1 functional connectivity were associated with mobility outcomes.
  • Graph theory findings varied based on the atlas used.

Abstract

BACKGROUND: Walking impairments post-stroke are common but studying their neural basis with fMRI is difficult due to motion constraints. This study used post-task resting-state residual activity (PTRRA) to investigate walking-related neural activity without in-scanner movement. METHODS: Ten patients with subcortical ischemic stroke and ten matched healthy controls underwent two resting-state fMRI sessions: one immediately after overground walking, and another after a 20-minute delay. Clinical assessments included Fugl-Meyer Assessment and Timed Up-and-Go Test (TUGT). Analyses included ALFF, functional connectivity (FC), and graph theory. RESULTS: = 0.032). Enhanced FC was found between contralesional S1 and ipsilesional sensorimotor regions. ALFF changes and bilateral S1 FC were significantly associated with mobility outcomes. Graph theory results were atlas-dependent. CONCLUSION: Increased contralesional S1 activation and its enhanced connectivity with bilateral motor areas may reflect adaptive changes supporting post-stroke balance. The PTRRA method proved feasible for capturing post-walk neural activity and may be useful for assessing large-scale network dynamics after stroke.

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Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/69fa989404f884e66b5325d9https://doi.org/10.1080/07853890.2026.2662817
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