Trial reportScientific reports2017
Brain plasticity following MI-BCI training combined with tDCS in a randomized trial in chronic subcortical stroke subjects: a preliminary study.
Trial report in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Transcranial Direct Current Stimulation to Augment Motor Imagery Training: A Systematic Review.The European journal of neuroscience · 2025Pooled it
- The Effect of Single-Session Transcranial Direct Current Stimulation on Cerebral Blood Flow: A Systematic Review and Meta-Analysis.Brain topography · 2025Pooled it
- Examining the effectiveness of motor imagery combined with non-invasive brain stimulation for upper limb recovery in stroke patients: a systematic review and meta-analysis of randomized clinical trials.Journal of neuroengineering and rehabilitation · 2024Pooled it
- The effect of non-invasive brain stimulation combined with motor imagery on upper limb motor function and activities of daily living in stroke patients: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Transcranial direct current stimulation (tDCS) in depression induces structural plasticity.Scientific reports · 2023Trial
- Intermittent theta burst stimulation enhances the efficacy of brain-computer interface in upper limb rehabilitation post-stroke.Frontiers in neurologyTrial
- Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces.npj biomedical innovations · 2026Review
- [A review of noninvasive brain-computer interfaces combined with transcranial electrical stimulation for neural rehabilitation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Review
- Advances in mechanisms of neuroplasticity induced by multimodal closed-loop brain-computer interfaces after stroke.Frontiers in human neuroscience · 2026Review
- The Impact of Visualization on Stroke Rehabilitation in Adults: A Systematic Review of Randomized Controlled Trials on Guided and Motor Imagery.Biomedicines · 2025Review
- Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study.Brain sciences · 2024Article
- Noninvasive brain stimulation during EEG improves machine learning classiResearch square · 2024Article
- A Review on Motor Imagery with Transcranial Alternating Current Stimulation: Bridging Motor and Cognitive Welfare for Patient Rehabilitation.Brain sciences · 2023Review
- Sparse Logistic Regression-Based EEG Channel Optimization Algorithm for Improved Universality across Participants.Bioengineering (Basel, Switzerland) · 2023Article
- Effects of neurofeedback training combined with transcranial direct current stimulation on motor imagery: A randomized controlled trial.Frontiers in neuroscience · 2023Article
- On closed-loop brain stimulation systems for improving the quality of life of patients with neurological disorders.Frontiers in human neuroscience · 2023Review
- Enhanced motor imagery of digits within the same hand via vibrotactile stimulation.Frontiers in neuroscience · 2023Article
- Rehabilitation Interventions Combined with Noninvasive Brain Stimulation on Upper Limb Motor Function in Stroke Patients.Brain sciences · 2022Review
- Poststroke motor, cognitive and speech rehabilitation with brain-computer interface: a perspective review.Stroke and vascular neurology · 2022Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interface-assisted motor imagery (MI-BCI) or transcranial direct current stimulation (tDCS) has been used in stroke rehabilitation, though their combinatory effect is unknown. We investigated brain plasticity following a combined MI-BCI and tDCS intervention in chronic subcortical stroke patients with unilateral upper limb disability. Nineteen patients were randomized into tDCS and sham-tDCS groups. Diffusion and perfusion MRI, and transcranial magnetic stimulation were used to study structural connectivity, cerebral blood flow (CBF), and corticospinal excitability, respectively, before and 4 weeks after the 2-week intervention. After quality control, thirteen subjects were included in the CBF analysis. Eleven healthy controls underwent 2 sessions of MRI for reproducibility study. Whereas motor performance showed comparable improvement, long-lasting neuroplasticity can only be detected in the tDCS group, where white matter integrity in the ipsilesional corticospinal tract and bilateral corpus callosum was increased but sensorimotor CBF was decreased, particularly in the ipsilesional side. CBF change in the bilateral parietal cortices also correlated with motor function improvement, consistent with the increased white matter integrity in the corpus callosum connecting these regions, suggesting an involvement of interhemispheric interaction. The preliminary results indicate that tDCS may facilitate neuroplasticity and suggest the potential for refining rehabilitation strategies for stroke patients.
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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.