Restoring after central nervous system injuries: neural mechanisms and translational applications of motor recovery

Z Gao, Z Pang, Y Chen, G Lei, S Zhu, G Li, Y Shen… - Neuroscience …, 2022 - Springer
Central nervous system (CNS) injuries, including stroke, traumatic brain injury, and spinal
cord injury, are leading causes of long-term disability. It is estimated that more than half of …

The role of brain oscillations in post-stroke motor recovery: An overview

G Leonardi, R Ciurleo, F Cucinotta, B Fonti… - Frontiers in systems …, 2022 - frontiersin.org
Stroke is the second cause of disability and death worldwide, highly impacting patient's
quality of life. Several changes in brain architecture and function led by stroke can be …

Effects of training with a brain–computer interface-controlled robot on rehabilitation outcome in patients with subacute stroke: A randomized controlled trial

CG Zhao, F Ju, W Sun, S Jiang, X Xi, H Wang… - Neurology and …, 2022 - Springer
Introduction Stroke is always associated with a difficult functional recovery process. A brain–
computer interface (BCI) is a technology which provides a direct connection between the …

Effect of BCI-controlled pedaling training system with multiple modalities of feedback on motor and cognitive function rehabilitation of early subacute stroke patients

Z Yuan, Y Peng, L Wang, S Song… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) are currently integrated into traditional rehabilitation
interventions after stroke. Although BCIs bring many benefits to the rehabilitation process …

Toward an adapted neurofeedback for post-stroke motor rehabilitation: state of the art and perspectives

S Le Franc, G Herrera Altamira, M Guillen… - Frontiers in Human …, 2022 - frontiersin.org
Stroke is a severe health issue, and motor recovery after stroke remains an important
challenge in the rehabilitation field. Neurofeedback (NFB), as part of a brain–computer …

[HTML][HTML] Review on the use of brain computer interface rehabilitation methods for treating mental and neurological conditions

V Khorev, S Kurkin, A Badarin, V Antipov… - Journal of Integrative …, 2024 - imrpress.com
This review provides a comprehensive examination of recent developments in both
neurofeedback and brain-computer interface (BCI) within the medical field and …

Brain–computer interface digital prescription for neurological disorders

X Chai, T Cao, Q He, N Wang, X Zhang… - CNS Neuroscience …, 2024 - Wiley Online Library
Neurological and psychiatric diseases can lead to motor, language, emotional disorder, and
cognitive, hearing or visual impairment By decoding the intention of the brain in real time …

Multi-session influence of two modalities of feedback and their order of presentation on MI-BCI user training

L Pillette, B N'kaoua, R Sabau, B Glize… - Multimodal Technologies …, 2021 - mdpi.com
By performing motor-imagery tasks, for example, imagining hand movements, Motor-
Imagery based Brain-Computer Interfaces (MI-BCIs) users can control digital technologies …

An effective fusing approach by combining connectivity network pattern and temporal-spatial analysis for EEG-based BCI rehabilitation

L Cao, W Wang, C Huang, Z Xu, H Wang… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Motor-modality-based brain computer interface (BCI) could promote the neural rehabilitation
for stroke patients. Temporal-spatial analysis was commonly used for pattern recognition in …

[HTML][HTML] Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023)

AS Angulo Medina, MI Aguilar Bonilla… - Sensors, 2024 - mdpi.com
EEG-based Brain-Computer Interfaces (BCIs) have gained significant attention in
rehabilitation due to their non-invasive, accessible ability to capture brain activity and restore …