Cargando…

Motor imagery brain–computer interface rehabilitation system enhances upper limb performance and improves brain activity in stroke patients: A clinical study

This study compared the efficacy of Motor Imagery brain-computer interface (MI-BCI) combined with physiotherapy and physiotherapy alone in ischemic stroke before and after rehabilitation training. We wanted to explore whether the rehabilitation effect of MI-BCI is affected by the severity of the pat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liao, Wenzhe, Li, Jiahao, Zhang, Xuesong, Li, Chen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043218/ https://www.ncbi.nlm.nih.gov/pubmed/36999132 http://dx.doi.org/10.3389/fnhum.2023.1117670

Ejemplares similares

Brain-Computer interface control of stepping from invasive electrocorticography upper-limb motor imagery in a patient with quadriplegia
por: Cajigas, Iahn, et al.
Publicado: (2023)

Sensorimotor Rhythm-Brain Computer Interface With Audio-Cue, Motor Observation and Multisensory Feedback for Upper-Limb Stroke Rehabilitation: A Controlled Study
por: Li, Xin, et al.
Publicado: (2022)

Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces
por: Leeuwis, Nikki, et al.
Publicado: (2021)

User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface
por: Ahn, Minkyu, et al.
Publicado: (2018)

Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients—A Feasibility Study
por: Sebastián-Romagosa, Marc, et al.
Publicado: (2020)

Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study
por: Hu, Mengjiao, et al.
Publicado: (2021)

Effects of Gaze Fixation on the Performance of a Motor Imagery-Based Brain-Computer Interface
por: Meng, Jianjun, et al.
Publicado: (2022)

Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
por: de Seta, Valeria, et al.
Publicado: (2022)

Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces
por: Wang, Deng, et al.
Publicado: (2012)

An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces
por: Papadopoulos, Sotirios, et al.
Publicado: (2022)

Review of public motor imagery and execution datasets in brain-computer interfaces
por: Gwon, Daeun, et al.
Publicado: (2023)

Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces
por: Leeuwis, Nikki, et al.
Publicado: (2021)

The Effect of Brain–Computer Interface Training on Rehabilitation of Upper Limb Dysfunction After Stroke: A Meta-Analysis of Randomized Controlled Trials
por: Yang, Weiwei, et al.
Publicado: (2022)

Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
por: Hu, Yi-Qian, et al.
Publicado: (2021)

Optimization of Task Allocation for Collaborative Brain–Computer Interface Based on Motor Imagery
por: Gu, Bin, et al.
Publicado: (2021)

Transformed common spatial pattern for motor imagery-based brain-computer interfaces
por: Ma, Zhen, et al.
Publicado: (2023)

Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report
por: Vourvopoulos, Athanasios, et al.
Publicado: (2019)

Closed-loop motor imagery EEG simulation for brain-computer interfaces
por: Shin, Hyonyoung, et al.
Publicado: (2022)

Increased motor cortex excitability during motor imagery in brain-computer interface trained subjects
por: Mokienko, Olesya A., et al.
Publicado: (2013)

Effects of motor imagery based brain-computer interface on upper limb function and attention in stroke patients with hemiplegia: a randomized controlled trial
por: Liu, Xiaolu, et al.
Publicado: (2023)

Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
por: Prasad, Girijesh, et al.
Publicado: (2010)

Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface
por: Zhou, Qing, et al.
Publicado: (2022)

Brain Function and Upper Limb Deficit in Stroke With Motor Execution and Imagery: A Cross-Sectional Functional Magnetic Resonance Imaging Study
por: Ma, Zhen-Zhen, et al.
Publicado: (2022)

High Classification Accuracy of a Motor Imagery Based Brain-Computer Interface for Stroke Rehabilitation Training
por: Irimia, Danut C., et al.
Publicado: (2018)

A Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller
por: Cao, Lei, et al.
Publicado: (2017)

Functional Electrical Stimulation Controlled by Motor Imagery Brain-Computer Interface for Rehabilitation
por: Choi, Inchul, et al.
Publicado: (2020)

A Novel Transfer Support Matrix Machine for Motor Imagery-Based Brain Computer Interface
por: Chen, Yan, et al.
Publicado: (2020)

Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial
por: Frolov, Alexander A., et al.
Publicado: (2017)

Corrigendum: Review of public motor imagery and execution datasets in brain-computer interfaces
por: Gwon, Daeun, et al.
Publicado: (2023)

The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia
por: Chen, Shugeng, et al.
Publicado: (2021)

Brain–computer interface treatment for gait rehabilitation in stroke patients
por: Sebastián-Romagosa, Marc, et al.
Publicado: (2023)

Closed-Loop Phase-Dependent Vibration Stimulation Improves Motor Imagery-Based Brain-Computer Interface Performance
por: Zhang, Wenbin, et al.
Publicado: (2021)

EEG datasets for motor imagery brain–computer interface
por: Cho, Hohyun, et al.
Publicado: (2017)

Corrigendum: Neurofeedback training of alpha relative power improves the performance of motor imagery brain-computer interface
por: Zhou, Qing, et al.
Publicado: (2022)

Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces
por: Roy, Sujit, et al.
Publicado: (2020)

Characterizing relationships of DTI, fMRI, and motor recovery in stroke rehabilitation utilizing brain-computer interface technology
por: Song, Jie, et al.
Publicado: (2014)

Effects of Frontal Theta Rhythms in a Prior Resting State on the Subsequent Motor Imagery Brain-Computer Interface Performance
por: Kang, Jae-Hwan, et al.
Publicado: (2021)

Progressive Training for Motor Imagery Brain-Computer Interfaces Using Gamification and Virtual Reality Embodiment
por: Škola, Filip, et al.
Publicado: (2019)

Improved Brain–Computer Interface Signal Recognition Algorithm Based on Few-Channel Motor Imagery
por: Wang, Fan, et al.
Publicado: (2022)

Behavioral Outcomes Following Brain–Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial
por: Remsik, Alexander B., et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_lhli126hskr8nehurvk60e265h