ArticleSensors (Basel, Switzerland)2018
Investigation of Optimal Afferent Feedback Modality for Inducing Neural Plasticity with A Self-Paced Brain-Computer Interface.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Specificity of Pairing Afferent and Efferent Activity for Inducing Neural Plasticity with an Associative Brain-Computer Interface.Sensors (Basel, Switzerland) · 2026Article
- Advances in mechanisms of neuroplasticity induced by multimodal closed-loop brain-computer interfaces after stroke.Frontiers in human neuroscience · 2026Review
- Comparison of Classifier Calibration Schemes for Movement Intention Detection in Individuals with Cerebral Palsy for Inducing Plasticity with Brain-Computer Interfaces.Sensors (Basel, Switzerland) · 2025Article
- Detection of Movement-Related Brain Activity Associated with Hand and Tongue Movements from Single-Trial Around-Ear EEG.Sensors (Basel, Switzerland) · 2024Article
- The Effect of Caffeine on Movement-Related Cortical Potential Morphology and Detection.Sensors (Basel, Switzerland) · 2024Article
- A Brain Computer Interface Neuromodulatory Device for Stroke Rehabilitation: Iterative User-Centered Design Approach.JMIR rehabilitation and assistive technologies · 2023Article
- On closed-loop brain stimulation systems for improving the quality of life of patients with neurological disorders.Frontiers in human neuroscience · 2023Review
- Implementing Performance Accommodation Mechanisms in Online BCI for Stroke Rehabilitation: A Study on Perceived Control and Frustration.Sensors (Basel, Switzerland) · 2022Article
- Associative cued asynchronous BCI induces cortical plasticity in stroke patients.Annals of clinical and translational neurology · 2022Article
- Investigating the Intervention Parameters of Endogenous Paired Associative Stimulation (ePAS).Brain sciences · 2021Article
- Induction of Neural Plasticity Using a Low-Cost Open Source Brain-Computer Interface and a 3D-Printed Wrist Exoskeleton.Sensors (Basel, Switzerland) · 2021Article
- The Effects of Spinal Manipulation on Motor Unit Behavior.Brain sciences · 2021Article
- Self-Paced Online vs. Cue-Based Offline Brain-Computer Interfaces for Inducing Neural Plasticity.Brain sciences · 2019Article
- The effects of chiropractic spinal manipulation on central processing of tonic pain - a pilot study using standardized low-resolution brain electromagnetic tomography (sLORETA).Scientific reports · 2019Article
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interfaces (BCIs) can be used to induce neural plasticity in the human nervous system by pairing motor cortical activity with relevant afferent feedback, which can be used in neurorehabilitation. The aim of this study was to identify the optimal type or combination of afferent feedback modalities to increase cortical excitability in a BCI training intervention. In three experimental sessions, 12 healthy participants imagined a dorsiflexion that was decoded by a BCI which activated relevant afferent feedback: (1) electrical nerve stimulation (ES) (peroneal nerve-innervating tibialis anterior), (2) passive movement (PM) of the ankle joint, or (3) combined electrical stimulation and passive movement (Comb). The cortical excitability was assessed with transcranial magnetic stimulation determining motor evoked potentials (MEPs) in tibialis anterior before, immediately after and 30 min after the BCI training. Linear mixed regression models were used to assess the changes in MEPs. The three interventions led to a significant (
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