Trial reportJournal of neuroengineering and rehabilitation2015
MEG-based neurofeedback for hand rehabilitation.
Trial report in Journal of neuroengineering and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed.
- Signal acquisition of brain-computer interfaces: A medical-engineering crossover perspective review.Fundamental research · 2025Review
- Cortical signals analysis to recognize intralimb mobility using modified RNN and various EEG quantities.Heliyon · 2024Article
- Preoperative mapping techniques for brain tumor surgery: a systematic review.Frontiers in oncology · 2024Review
- Effectiveness of the Combined Use of a Brain-Machine Interface System and Virtual Reality as a Therapeutic Approach in Patients with Spinal Cord Injury: A Systematic Review.Healthcare (Basel, Switzerland) · 2023Review
- Mapping and decoding cortical engagement during motor imagery, mental arithmetic, and silent word generation using MEG.Human brain mapping · 2023Article
- Practical real-time MEG-based neural interfacing with optically pumped magnetometers.BMC biology · 2021Article
- Challenges and Opportunities for the Future of Brain-Computer Interface in Neurorehabilitation.Frontiers in neuroscience · 2021Review
- Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces.Frontiers in neuroscience · 2020Article
- Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies.NeuroImage · 2019Article
- Across-subject offline decoding of motor imagery from MEG and EEG.Scientific reports · 2018Article
- HD-EEG Based Classification of Motor-Imagery Related Activity in Patients With Spinal Cord Injury.Frontiers in neurology · 2018Article
- Altered modulation of sensorimotor rhythms with chronic paralysis.Journal of neurophysiology · 2017Article
- Investigating the impact of feedback update interval on the efficacy of restorative brain-computer interfaces.Royal Society open science · 2017Article
- Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task.Frontiers in human neuroscience · 2017Article
- Real-Time Control of a Neuroprosthetic Hand by Magnetoencephalographic Signals from Paralysed Patients.Scientific reports · 2016Article
- Article
- The Evolution of Neuroprosthetic Interfaces.Critical reviews in biomedical engineering · 2016Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProviding neurofeedback (NF) of motor-related brain activity in a biologically-relevant and intuitive way could maximize the utility of a brain-computer interface (BCI) for promoting therapeutic plasticity. We present a BCI capable of providing intuitive and direct control of a video-based grasp.
methodsUtilizing magnetoencephalography's (MEG) high temporal and spatial resolution, we recorded sensorimotor rhythms (SMR) that were modulated by grasp or rest intentions. SMR modulation controlled the grasp aperture of a stop motion video of a human hand. The displayed hand grasp position was driven incrementally towards a closed or opened state and subjects were required to hold the targeted position for a time that was adjusted to change the task difficulty.
resultsWe demonstrated that three individuals with complete hand paralysis due to spinal cord injury (SCI) were able to maintain brain-control of closing and opening a virtual hand with an average of 63 % success which was significantly above the average chance rate of 19 %. This level of performance was achieved without pre-training and less than 4 min of calibration. In addition, successful grasp targets were reached in 1.96 ± 0.15 s. Subjects performed 200 brain-controlled trials in approximately 30 min excluding breaks. Two of the three participants showed a significant improvement in SMR indicating that they had learned to change their brain activity within a single session of NF.
conclusionsThis study demonstrated the utility of a MEG-based BCI system to provide realistic, efficient, and focused NF to individuals with paralysis with the goal of using NF to induce neuroplasticity.
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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.