ArticleJournal of neuroengineering and rehabilitation2025
Corticomuscular coupling study for post-stroke rehabilitation: a scoping review.
Article in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Closed-loop brain-computer interfaces for post-stroke sensorimotor loop restoration.Frontiers in neuroscience · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The challenge of post-stroke rehabilitation lies in the difficulty of quantifying the dynamic process of neural remodeling using traditional assessment methods. Corticomuscular coupling (CMC), as an emerging neurophysiological index, offers a novel perspective for quantifying this dynamic process of neural remodeling following a stroke and optimizing rehabilitation interventions. This paper systematically reviews the research advancements in CMC within stroke rehabilitation through a scoping review, focusing on four primary areas: mechanisms, analytical methods, experimental paradigms, and interventions. Studies indicate that CMC can assess the neural mechanisms underlying motor dysfunction and guide personalized rehabilitation strategies by analyzing the dynamic information transfer between the brain and muscles. However, current studies encounter challenges such as technical calibration difficulties, insufficient sample sizes, and the heterogeneity of experimental paradigms. Moving forward, it is essential to promote large-sample multicenter studies, standardize the analytical processes, and explore the synergistic application of CMC with brain-computer interfaces and other technologies to facilitate the paradigm shift from experience-driven to data-driven stroke rehabilitation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.