ArticleFrontiers in neuroengineering2014
Characterizing relationships of DTI, fMRI, and motor recovery in stroke rehabilitation utilizing brain-computer interface technology.
Article in Frontiers in neuroengineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 31 papers.
What it found
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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.
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.
A Closed Loop Neural Activity Triggered Stroke Rehabilitation Device
Stroke Rehabilitation Using BCI Technology
Who cites it
31 citing papers in PubMed, 64 citations in OpenAlex.
- Brain-Machine Interface Induced Morpho-Functional Remodeling of the Neural Motor System in Severe Chronic Stroke.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020Trial
- A systematic review of the effects of brain-computer interface on lower limb motor function, balance function, and activities of daily living in stroke patients.Frontiers in neuroscience · 2025Review
- Challenges of neural interfaces for stroke motor rehabilitation.Frontiers in human neuroscience · 2023Article
- Clinical Effectiveness of Non-Immersive Virtual Reality Tasks for Post-Stroke Neuro-Rehabilitation of Distal Upper-Extremities: A Case Report.Journal of clinical medicine · 2022Article
- Brain Connectivity Changes During Bimanual and Rotated Motor Imagery.IEEE journal of translational engineering in health and medicine · 2022Article
- The role of brain oscillations in post-stroke motor recovery: An overview.Frontiers in systems neuroscience · 2022Review
- BCI-FES With Multimodal Feedback for Motor Recovery Poststroke.Frontiers in human neuroscience · 2022Article
- Ipsilesional Mu Rhythm Desynchronization Correlates With Improvements in Affected Hand Grip Strength and Functional Connectivity in Sensorimotor Cortices Following BCI-FES Intervention for Upper Extremity in Stroke Survivors.Frontiers in human neuroscience · 2021Article
- Changes in EEG Brain Connectivity Caused by Short-Term BCI Neurofeedback-Rehabilitation Training: A Case Study.Frontiers in human neuroscience · 2021Article
- Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study.Frontiers in human neuroscience · 2021Article
- Proprioception and motor performance after stroke: An examination of diffusion properties in sensory and motor pathways.Human brain mapping · 2019Article
- An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface.Medical & biological engineering & computing · 2019Article
- Ipsilesional Mu Rhythm Desynchronization and Changes in Motor Behavior Following Post Stroke BCI Intervention for Motor Rehabilitation.Frontiers in neuroscience · 2019Article
- Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis.Annals of clinical and translational neurology · 2018Review
- Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis.Frontiers in neuroscience · 2018Article
- Comparison of Multi-Tensor Diffusion Models' Performance for White Matter Integrity Estimation in Chronic Stroke.Frontiers in neuroscience · 2018Article
- Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity.Frontiers in neuroscience · 2018Article
- Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning.Frontiers in neuroscience · 2018Article
- Behavioral Outcomes Following Brain-Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial.Frontiers in neuroscience · 2018Article
- Role of the Contralesional vs. Ipsilesional Hemisphere in Stroke Recovery.Frontiers in human neuroscience · 2017Review
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
Abstract
The relationship of the structural integrity of white matter tracts and cortical activity to motor functional outcomes in stroke patients is of particular interest in understanding mechanisms of brain structural and functional changes while recovering from stroke. This study aims to probe these underlying mechanisms using diffusion tensor imaging (DTI) and fMRI measures. We examined the structural integrity of the posterior limb of the internal capsule (PLIC) using DTI and corticomotor activity using motor-task fMRI in stroke patients who completed up to 15 sessions of rehabilitation therapy using Brain-Computer Interface (BCI) technology. We hypothesized that (1) the structural integrity of PLIC and corticomotor activity are affected by stroke; (2) changes in structural integrity and corticomotor activity following BCI intervention are related to motor recovery; (3) there is a potential relationship between structural integrity and corticomotor activity. We found that (1) the ipsilesional PLIC showed significantly decreased fractional anisotropy (FA) values when compared to the contralesional PLIC; (2) lower ipsilesional PLIC-FA values were significantly associated with worse motor outcomes (i.e., ipsilesional PLIC-FA and motor outcomes were positively correlated.); (3) lower ipsilesional PLIC-FA values were significantly associated with greater ipsilesional corticomotor activity during impaired-finger-tapping-task fMRI (i.e., ipsilesional PLIC-FA and ipsilesional corticomotor activity were negatively correlated), with an overall bilateral pattern of corticomotor activity observed; and (4) baseline FA values predicted motor recovery assessed after BCI intervention. These findings suggest that (1) greater vs. lesser microstructural integrity of the ipsilesional PLIC may contribute toward better vs. poor motor recovery respectively in the stroke-affected limb and demand lesser vs. greater cortical activity respectively from the ipsilesional motor cortex; and that (2) PLIC-FA is a promising biomarker in tracking and predicting motor functional recovery in stroke patients receiving BCI intervention.
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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.