Mi Bci | List of Frontiers open access articles

Original Research

Published on 15 Oct 2021

Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces

in Brain-Computer Interfaces

Nikki Leeuwis
Sue Yoon
Maryam Alimardani

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2021.732946

10,457 views
60 citations

Original Research

Published on 16 Jul 2021

Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study

in Brain-Computer Interfaces

Mengjiao Hu
Hsiao-Ju Cheng
Fang Ji
Joanna Su Xian Chong
Zhongkang Lu
Weimin Huang
Kai Keng Ang
Kok Soon Phua
Kai-Hsiang Chuang
Xudong Jiang

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2021.692304

14,493 views
27 citations

Original Research

Published on 15 Feb 2018

User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface

in Brain-Computer Interfaces

Minkyu Ahn
Hohyun Cho
Sangtae Ahn
Sung C. Jun

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2018.00059

7,098 views
39 citations

Original Research

Published on 26 Sep 2019

Progressive Training for Motor Imagery Brain-Computer Interfaces Using Gamification and Virtual Reality Embodiment

in Brain-Computer Interfaces

Filip Škola
Simona Tinková
Fotis Liarokapis

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2019.00329

16,950 views
94 citations

Original Research

Published on 23 Jul 2025

Associations between pre-cue parietal alpha oscillations and event related desynchronization in motor imagery-based brain-computer interface

in Brain-Computer Interfaces

Mohamed A. Mohamed
Joshua Giles
Mashael AlSaleh
Mahnaz Arvaneh

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2025.1625127

2,851 views

Systematic Review

Published on 20 Jan 2026

Motor imagery combined with brain-computer interface for stroke patients: a meta-analysis

in Neurorehabilitation

Yuhuang Lin
Yong Yuan
Jingjing Chen
Xiangfu Lin

Frontiers in Neurology

doi 10.3389/fneur.2026.1672882

941 views

Original Research

Published on 08 Apr 2022

Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface

in Brain-Computer Interfaces

Qing Zhou
Ruidong Cheng
Lin Yao
Xiangming Ye
Kedi Xu

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2022.831995

7,142 views
16 citations

Original Research

Published on 25 Sep 2025

When embodiment matters most: a confirmatory study on VR priming in motor imagery brain-computer interfaces training

in Motor Neuroscience

Daniela Esteves
Katarina Vagaja
Alexandre Andrade
Athanasios Vourvopoulos

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2025.1681538

4,237 views

Original Research

Published on 20 Oct 2023

A learnable EEG channel selection method for MI-BCI using efficient channel attention

in Neuroprosthetics

Lina Tong
Yihui Qian
Liang Peng
Chen Wang
Zeng-Guang Hou

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1276067

6,314 views
22 citations

Original Research

Published on 17 Jun 2022

The Effects of Sensory Threshold Somatosensory Electrical Stimulation on Users With Different MI-BCI Performance

in Neural Technology

Long Chen
Lei Zhang
Zhongpeng Wang
Bin Gu
Xin Zhang
Dong Ming

Frontiers in Neuroscience

doi 10.3389/fnins.2022.909434

3,850 views
9 citations

Original Research

Published on 12 Sep 2022

An EEG-based asynchronous MI-BCI system to reduce false positives with a small number of channels for neurorehabilitation: A pilot study

Minsu Song
Hojun Jeong
Jongbum Kim
Sung-Ho Jang
Jonghyun Kim

Frontiers in Neurorobotics

doi 10.3389/fnbot.2022.971547

5,268 views
13 citations

Original Research

Published on 31 Mar 2022

The Frequency Effect of the Motor Imagery Brain Computer Interface Training on Cortical Response in Healthy Subjects: A Randomized Clinical Trial of Functional Near-Infrared Spectroscopy Study

in Neuroprosthetics

Qiang Lin
Yanni Zhang
Yajie Zhang
Wanqi Zhuang
Biyi Zhao
Xiaomin Ke
Tingting Peng
Tingting You
Yongchun Jiang
Anniwaer Yilifate

Frontiers in Neuroscience

doi 10.3389/fnins.2022.810553

6,566 views
12 citations

Original Research

Published on 11 Aug 2022

Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method

in Brain Imaging and Stimulation

Yao Hou
Zhenghui Gu
Zhu Liang Yu
Xiaofeng Xie
Rongnian Tang
Jinghan Xu
Feifei Qi

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2022.975410

3,159 views
3 citations

Original Research

Published on 14 Mar 2023

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

in Brain-Computer Interfaces

Wenzhe Liao
Jiahao Li
Xuesong Zhang
Chen Li

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2023.1117670

11,050 views
40 citations

Original Research

Published on 25 Mar 2021

Long Multi-Stage Training for a Motor-Impaired User in a BCI Competition

in Brain-Computer Interfaces

Federica Turi
Maureen Clerc
Théodore Papadopoulo

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2021.647908

5,579 views
11 citations

Original Research

Published on 20 Jun 2025

A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation

in Neuroprosthetics

Ankai Ying
Jinwang Lv
Junchen Huang
Tian Wang
Peixin Si
Jiyu Zhang
Guokun Zuo
Jialin Xu

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1591398

3,614 views
1 citation

Articles

Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces

Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study

User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface

Progressive Training for Motor Imagery Brain-Computer Interfaces Using Gamification and Virtual Reality Embodiment

Associations between pre-cue parietal alpha oscillations and event related desynchronization in motor imagery-based brain-computer interface

Motor imagery combined with brain-computer interface for stroke patients: a meta-analysis

Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface

When embodiment matters most: a confirmatory study on VR priming in motor imagery brain-computer interfaces training

A learnable EEG channel selection method for MI-BCI using efficient channel attention

The Effects of Sensory Threshold Somatosensory Electrical Stimulation on Users With Different MI-BCI Performance

An EEG-based asynchronous MI-BCI system to reduce false positives with a small number of channels for neurorehabilitation: A pilot study

The Frequency Effect of the Motor Imagery Brain Computer Interface Training on Cortical Response in Healthy Subjects: A Randomized Clinical Trial of Functional Near-Infrared Spectroscopy Study

Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method

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

Long Multi-Stage Training for a Motor-Impaired User in a BCI Competition

A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation