ArticleScientific reports2021
Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 5 of them syntheses that pooled it.
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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.
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Who cites it
31 citing papers in PubMed, 5 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- EEG biomarkers for assessment, prognosis, and monitoring of natural upper limb recovery after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Biomarker use in predicting transcranial direct-current stimulation (tDCS) response: a systematic scoping review.Frontiers in psychiatry · 2026Pooled it
- A systematic review of alterations in sensorimotor networks following stroke: implications for integration and functional outcomes across recovery stages.Frontiers in neurology · 2025Pooled it
- A systematic review: enhancing stroke recovery through complementary interventions-Clinical outcomes and neural activity insights.Frontiers in neuroscience · 2024Pooled it
- Influence of Transcranial Direct Current Stimulation Dosage and Associated Therapy on Motor Recovery Post-stroke: A Systematic Review and Meta-Analysis.Frontiers in aging neuroscience · 2022Pooled it
- EEG vs. Hybrid EEG-fNIRS BCI for FES Control in Healthy Subjects: A Blind Randomized Study and an Open Dataset.Sensors (Basel, Switzerland) · 2026Trial
- Analysis of correlation between structural changes and functional response in post-stroke motor recovery after cM1 LF-rTMS: an exploratory randomized trial.Scientific reports · 2026Trial
- Multisensory BCI promotes motor recovery via high-order network-mediated interhemispheric integration in chronic stroke.BMC medicine · 2025Trial
- Concurrent tDCS-fMRI after stroke reveals link between attention network organization and motor improvement.Scientific reports · 2024Trial
- Structural connectome changes as biomarkers of stroke recovery: a longitudinal 7T MRI study.BMC neuroscience · 2026Article
- Brain-Computer Interface Training Enhances Attention Function via Modulating Frontoparietal Connectivity: Evidence From Functional Near-Infrared Spectroscopy.Neural plasticity · 2026Article
- Corticomuscular coupling alterations in subacute stroke patients: insights from fNIRS and sEMG.BMC neurology · 2025Article
- Live Effects of Anodal and Cathodal Transcranial Direct Current Stimulation on Brain Metabolism in a Patient with Typical Hemorrhagic Stroke: A Case Study.Brain sciences · 2025Article
- Estimation of Stroke's Motor Function Ability Using Multimodal Biomarkers and the Role of Contralesional Motor Area.Brain and behavior · 2025Article
- Somatosensory-Thalamic Functional Dysconnectivity Associated With Poststroke Motor Function Rehabilitation: A Resting-State fMRI Study.Brain and behavior · 2025Article
- Connectome-based predictive modeling of grip strength: a marker of physical frailty.Frontiers in neuroscience · 2025Article
- Combination of robot-assisted glove and mirror therapy improves upper limb motor function in subacute stroke patients: a randomized controlled pilot study.Frontiers in neurology · 2025Article
- Predicting upper limb motor recovery in subacute stroke patients via fNIRS-measured cerebral functional responses induced by robotic training.Journal of neuroengineering and rehabilitation · 2024Article
- Tracking EEG network dynamics through transitions between eyes-closed, eyes-open, and task states.Scientific reports · 2024Article
- Beta tACS of varying intensities differentially affect resting-state and movement-related M1-M1 connectivity.Frontiers in neuroscience · 2024Article
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke leads to both regional brain functional disruptions and network reorganization. However, how brain functional networks reconfigure as task demand increases in stroke patients and whether such reorganization at baseline would facilitate post-stroke motor recovery are largely unknown. To address this gap, brain functional connectivity (FC) were examined at rest and motor tasks in eighteen chronic subcortical stroke patients and eleven age-matched healthy controls. Stroke patients underwent a 2-week intervention using a motor imagery-assisted brain computer interface-based (MI-BCI) training with or without transcranial direct current stimulation (tDCS). Motor recovery was determined by calculating the changes of the upper extremity component of the Fugl-Meyer Assessment (FMA) score between pre- and post-intervention divided by the pre-intervention FMA score. The results suggested that as task demand increased (i.e., from resting to passive unaffected hand gripping and to active affected hand gripping), patients showed greater FC disruptions in cognitive networks including the default and dorsal attention networks. Compared to controls, patients had lower task-related spatial similarity in the somatomotor-subcortical, default-somatomotor, salience/ventral attention-subcortical and subcortical-subcortical connections, suggesting greater inefficiency in motor execution. Importantly, higher baseline network-specific FC strength (e.g., dorsal attention and somatomotor) and more efficient brain network reconfigurations (e.g., somatomotor and subcortical) from rest to active affected hand gripping at baseline were related to better future motor recovery. Our findings underscore the importance of studying functional network reorganization during task-free and task conditions for motor recovery prediction in stroke.
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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.