ArticleBrain sciences2013
Towards effective non-invasive brain-computer interfaces dedicated to gait rehabilitation systems.
Article in Brain sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation.Frontiers in neuroscience · 2020Pooled it
- The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.Journal of neuroengineering and rehabilitation · 2017Trial
- Virtual reality mediated brain-computer interface training improves sensorimotor neuromodulation in unimpaired and post spinal cord injury individuals.Scientific reports · 2026Article
- Change in activity patterns in the prefrontal cortex in different phases during the dual-task walking in older adults.Journal of neuroengineering and rehabilitation · 2023Article
- A Unified Local-Global Feature Extraction Network for Human Gait Recognition Using Smartphone Sensors.Sensors (Basel, Switzerland) · 2022Article
- Analysis of the Relationship Between Motor Imagery and Age-Related Fatigue for CNN Classification of the EEG Data.Frontiers in aging neuroscience · 2022Article
- TechnoBrainBodies-in-Cultures: An Intersectional Case.Frontiers in sociology · 2021Article
- Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review.Frontiers in human neuroscience · 2020Review
- Cognitive performance and brain dynamics during walking with a novel bionic foot: A pilot study.PloS one · 2019Article
- Subthalamic oscillatory activity and connectivity during gait in Parkinson's disease.NeuroImage. Clinical · 2018Article
- Assessing Brain-Muscle Connectivity in Human Locomotion through Mobile Brain/Body Imaging: Opportunities, Pitfalls, and Future Directions.Frontiers in public health · 2018Article
- Simultaneous functional near-infrared spectroscopy and electroencephalography for monitoring of human brain activity and oxygenation: a review.Neurophotonics · 2017Review
- Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?PloS one · 2015Article
- Decoding Sensorimotor Rhythms during Robotic-Assisted Treadmill Walking for Brain Computer Interface (BCI) Applications.PloS one · 2015Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last few years, significant progress has been made in the field of walk rehabilitation. Motor cortex signals in bipedal monkeys have been interpreted to predict walk kinematics. Epidural electrical stimulation in rats and in one young paraplegic has been realized to partially restore motor control after spinal cord injury. However, these experimental trials are far from being applicable to all patients suffering from motor impairments. Therefore, it is thought that more simple rehabilitation systems are desirable in the meanwhile. The goal of this review is to describe and summarize the progress made in the development of non-invasive brain-computer interfaces dedicated to motor rehabilitation systems. In the first part, the main principles of human locomotion control are presented. The paper then focuses on the mechanisms of supra-spinal centers active during gait, including results from electroencephalography, functional brain imaging technologies [near-infrared spectroscopy (NIRS), functional magnetic resonance imaging (fMRI), positron-emission tomography (PET), single-photon emission-computed tomography (SPECT)] and invasive studies. The first brain-computer interface (BCI) applications to gait rehabilitation are then presented, with a discussion about the different strategies developed in the field. The challenges to raise for future systems are identified and discussed. Finally, we present some proposals to address these challenges, in order to contribute to the improvement of BCI for gait rehabilitation.
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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.