ArticleScientific reports2017
Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.
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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
40 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Experiment protocols for brain-body imaging of locomotion: A systematic review.Frontiers in neuroscience · 2023Pooled it
- Tremor-Suppression Orthoses for the Upper Limb: Current Developments and Future Challenges.Frontiers in human neuroscience · 2021Pooled it
- EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review.Sensors (Basel, Switzerland) · 2018Pooled it
- Auditory Cue Effects on Gait-Phase-Dependent Electroencephalogram (EEG) Modulations during Overground and Treadmill Walking.Sensors (Basel, Switzerland) · 2024Trial
- Quantitative Analysis of EEG Power Spectrum and EMG Median Power Frequency Changes after Continuous Passive Motion Mirror Therapy System.Sensors (Basel, Switzerland) · 2020Trial
- Suppressing Non-Stationary Motion Artefacts in Mobile EEG Using Generalized Eigenvalue Decomposition.Sensors (Basel, Switzerland) · 2026Article
- Human-machine Interface using functional electrostimulation and inertial sensors for lower limb rehabilitation in spinal cord injury individuals: a proof of concept.Medical & biological engineering & computing · 2026Article
- Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.Advances in experimental medicine and biology · 2026Article
- Dual-sided EEG electrode signals have varying correlations that depend on movement characteristics.Scientific reports · 2025Article
- Neural Oscillatory Mechanisms Underlying Step Accuracy: Integrating Microstate Segmentation with eLORETA-Independent Component Analysis.Brain sciences · 2025Article
- Single-Trial Electroencephalography Discrimination of Real, Regulated, Isometric Wrist Extension and Wrist Flexion.Biomimetics (Basel, Switzerland) · 2025Article
- Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs.Sensors (Basel, Switzerland) · 2024Article
- Mobile neuroimaging: What we have learned about the neural control of human walking, with an emphasis on EEG-based research.Neuroscience and biobehavioral reviews · 2024Review
- The speech neuroprosthesis.Nature reviews. Neuroscience · 2024Review
- A review of combined functional neuroimaging and motion capture for motor rehabilitation.Journal of neuroengineering and rehabilitation · 2024Review
- Entropy in Electroencephalographic Signals Modulates with Force Magnitude During Grasping - A Preliminary Report.Journal of motor behavior · 2024Article
- Portable deep-learning decoder for motor imaginary EEG signals based on a novel compact convolutional neural network incorporating spatial-attention mechanism.Medical & biological engineering & computing · 2023Article
- The Effectiveness of a Multimodal Brain Empowerment Program in Mild Cognitive Impairment: A Single-Blind, Quasi-Randomized Experimental Study.Journal of clinical medicine · 2023Article
- The effects of blurred visual inputs with different levels on the cerebral activity during free level walking.Frontiers in neuroscience · 2023Article
- Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running.Scientific data · 2021Article
Corrections and comments
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4 authors.
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Abstract
Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users' gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a closed-loop BCI has not been investigated. This study aims to investigate the changes of cortical involvement in human treadmill walking with and without BCI control of a walking avatar. Source localization revealed significant differences in cortical network activity between walking with and without closed-loop BCI control. Our results showed sustained α/µ suppression in the Posterior Parietal Cortex and Inferior Parietal Lobe, indicating increases of cortical involvement during walking with BCI control. We also observed significant increased activity of the Anterior Cingulate Cortex (ACC) in the low frequency band suggesting the presence of a cortical network involved in error monitoring and motor learning. Additionally, the presence of low γ modulations in the ACC and Superior Temporal Gyrus may associate with increases of voluntary control of human gait. This work is a further step toward the development of a novel training paradigm for improving the efficacy of rehabilitation in a top-down approach.
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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.