Frontiers in Human Neuroscience | Brain-Computer Interfaces

Systematic Review

Published on 08 May 2026

Brain-computer interfaces and neural synchronization in esports: a systematic review of effects on reaction time, decision-making, and cognitive performance

in Brain-Computer Interfaces

Prashant Kumar Choudhary
Suchishrava Choudhary
Sohom Saha
Yajuvendra Singh Rajpoot
Vasile-Cătălin Ciocan
Voinea Nicolae-Lucian
Carmina Mihaela Gorgan
Constantin Șufaru

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1774230

962 views

Mini Review

Accepted on 05 May 2026

The Current Status of Foundation Models in Decoding Inner Speech from Noninvasive Brain Signals: A Mini Review

in Brain-Computer Interfaces

Esra Sümer-Arpak
Rajkumar Saini
Debashis Das Chakladar
Sanjeev Kumar Varun
Foteini Simistira Liwicki

Frontiers in Human Neuroscience

189 views

Original Research

Published on 04 May 2026

Toward practical BCIs: a BMNABC-based feature selection and sensor optimization framework for implicit learning detection from multimodal EEG-fNIRS data

in Brain-Computer Interfaces

Chayapol Chaiyanan
Tustanah Phukhachee
Keiji Iramina
Boonserm Kaewkamnerdpong

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1778884

1,510 views

Original Research

Published on 01 May 2026

Cortical activity increases in speech motor areas as a function of the subjective loudness of inner speech

in Brain-Computer Interfaces

Barry H. Cohen
Bin Zhang

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1812507

1,907 views

Original Research

Accepted on 30 Apr 2026

Rotation-Based Metric on the Riemannian Manifold of SPD Matrices with Applications to Source Data Selection for Brain-Computer Interface Transfer Learning

in Brain-Computer Interfaces

Frida Heskebeck
Bo Bernhardsson
Carolina Bergeling

Frontiers in Human Neuroscience

152 views

Editorial

Published on 27 Apr 2026

Editorial: Non invasive BCI for communication

in Brain-Computer Interfaces

Sadaf Moaveninejad
Eduardo Santamaría-Vázquez
Jiahua Xu
Camillo Porcaro

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1836774

1,917 views

Review

Accepted on 24 Apr 2026

Advances in Mechanisms of Neuroplasticity Induced by Multimodal Closed-Loop Brain–Computer Interfaces after Stroke

in Brain-Computer Interfaces

Yufeng Chen
Yongmei Jiang
Xiran Wang
miao zeng
jiahao cui

Frontiers in Human Neuroscience

853 views

Original Research

Accepted on 23 Apr 2026

The ASME-speller: 30-class Auditory Brain-Computer Interface Speller Using Stream Segregation and the QWERTY Layout

in Brain-Computer Interfaces

Simon Kojima
Shin'ichiro Kanoh

Frontiers in Human Neuroscience

290 views

Original Research

Accepted on 22 Apr 2026

Clinical Evaluation of Communication Brain Computer Interfaces in Amyotrophic Lateral Sclerosis: A Landscape Analysis

in Brain-Computer Interfaces

Shana Rae Melby
Jaganth Nivas Asok Kumar
Erin R. Bigus
Spencer Kellis

Frontiers in Human Neuroscience

393 views

Review

Published on 22 Apr 2026

Brain-computer interface: an update for the clinicians

in Brain-Computer Interfaces

Agam Jain
Sreelakshmi Raveendran
Krishnan Padmakumari Sivaraman Nair
Subasree Ramakrishnan

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1777024

2,557 views

Review

Published on 20 Apr 2026

In-ear EEG wearables for brain activity assessment and cognitive rehabilitation: the emerging role of multimodal embedded intelligence

in Brain-Computer Interfaces

Asma Channa
Herbert F. Jelinek
Abdelkader Nasreddine Belkacem
Mohamed Atef
Ibrahim (Abe) M. Elfadel

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1793705

2,027 views

Original Research

Published on 17 Apr 2026

Exploring individual biases in BCI research and users: Does gender matter?

in Brain-Computer Interfaces

Cornelia Herbert
Viviana Ramos Acuna
Raphael R. K. Kneipp
Nina I. Kapfer

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2025.1695370

1,396 views

Case Report

Published on 14 Apr 2026

Case Report: post-stroke rehabilitation with a visuomotor transformation-based brain-computer interface

in Brain-Computer Interfaces

Alisa Kokorina
Nikolay Syrov
Lev Yakovlev
Mikhail Lebedev

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1774409

1,298 views

Original Research

Published on 09 Apr 2026

MCFANet: a multi-class fusion attention network for motor imagery EEG classification

in Brain-Computer Interfaces

Peijie Zhao
Tong Liang
Hao Jia
Azure Dayan
Josep Dinarès-Ferran
Jordi Solé-Casals

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1811759

1,171 views

Original Research

Published on 07 Apr 2026

EEG-based brain–computer interface with immersive virtual reality for phantom limb pain: a single-center pilot neurofeedback trial

in Brain-Computer Interfaces

Vincent Roualdes
Saïd Moussaoui
Jean-Marie Normand
Emmanuelle Kuhn
Julien Nizard
Aurélien Van Langhenhove

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1697837

1,299 views

Original Research

Published on 27 Mar 2026

Electroencephalogram-based multimodal attention level classification using deep learning techniques

in Brain-Computer Interfaces

Yi Zhong
Zhenyu Wang
Xi Zhao
Tianheng Xu
Ting Zhou
Honglin Hu

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1791677

594 views

Hypothesis and Theory

Accepted on 26 Mar 2026

MotiVE BCI – motivation models including valence and expectancy in Brain-Computer Interface use

in Brain-Computer Interfaces

Sonja C Kleih

Frontiers in Human Neuroscience

260 views

Original Research

Published on 26 Mar 2026

Individualized electrode subset improves the calibration accuracy of an EEG P300-design brain-computer interface for people with severe cerebral palsy

in Brain-Computer Interfaces

Si Long Jenny Tou
Seth A. Warschausky
Petra Karlsson
Jane E. Huggins

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1720969

477 views
1 citation

Original Research

Published on 18 Mar 2026

Polarity-considered EEG microstates improve classification accuracy of oddball stimulus

in Brain-Computer Interfaces

Tatsumi Tsubaki
Shiho Kashihara
Tomohisa Asai
Hiroshi Imamizu
Isao Nambu

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1712380

541 views

Data Report

Published on 13 Mar 2026

Open access individual finger movement dataset with fNIRS

in Brain-Computer Interfaces

Haroon Khan
Hammad Nazeer
Peyman Mirtaheri

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1747655

719 views

Original Research

Published on 04 Mar 2026

Dynamic graph based attention spectral network for motor imagery-brain computer interface

in Brain-Computer Interfaces

Zexiong Shao
Zhenghui Gu
Le Che
Zhuliang Yu
Yuanqing Li

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1755549

811 views

Editorial

Published on 20 Feb 2026

Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches

in Brain-Computer Interfaces

Baidaa Al-Bander

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1795349

924 views

Original Research

Published on 18 Feb 2026

DSP-MCF: dual stream pre-training and multi-view consistency fine-tuning for cross-subject EEG emotion recognition

in Brain-Computer Interfaces

Jingjing Li
Xinqi Liu
Xia Wu
Ya Wang
Xin Huang

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1723907

787 views

Original Research

Published on 18 Feb 2026

Advancing individual finger classification through a sandwich enhanced CBAM network with ultra-high-density EEG data

in Brain-Computer Interfaces

Xinguo Zhang
Yiman Zhang
Hong Peng
Tao Deng

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2026.1751058

648 views

528 articles

articles

Brain-computer interfaces and neural synchronization in esports: a systematic review of effects on reaction time, decision-making, and cognitive performance

The Current Status of Foundation Models in Decoding Inner Speech from Noninvasive Brain Signals: A Mini Review

Toward practical BCIs: a BMNABC-based feature selection and sensor optimization framework for implicit learning detection from multimodal EEG-fNIRS data

Cortical activity increases in speech motor areas as a function of the subjective loudness of inner speech

Rotation-Based Metric on the Riemannian Manifold of SPD Matrices with Applications to Source Data Selection for Brain-Computer Interface Transfer Learning

Editorial: Non invasive BCI for communication

Advances in Mechanisms of Neuroplasticity Induced by Multimodal Closed-Loop Brain–Computer Interfaces after Stroke

The ASME-speller: 30-class Auditory Brain-Computer Interface Speller Using Stream Segregation and the QWERTY Layout

Clinical Evaluation of Communication Brain Computer Interfaces in Amyotrophic Lateral Sclerosis: A Landscape Analysis

Brain-computer interface: an update for the clinicians

In-ear EEG wearables for brain activity assessment and cognitive rehabilitation: the emerging role of multimodal embedded intelligence

Exploring individual biases in BCI research and users: Does gender matter?

Case Report: post-stroke rehabilitation with a visuomotor transformation-based brain-computer interface

MCFANet: a multi-class fusion attention network for motor imagery EEG classification

EEG-based brain–computer interface with immersive virtual reality for phantom limb pain: a single-center pilot neurofeedback trial

Electroencephalogram-based multimodal attention level classification using deep learning techniques

MotiVE BCI – motivation models including valence and expectancy in Brain-Computer Interface use

Individualized electrode subset improves the calibration accuracy of an EEG P300-design brain-computer interface for people with severe cerebral palsy

Polarity-considered EEG microstates improve classification accuracy of oddball stimulus

Open access individual finger movement dataset with fNIRS

Dynamic graph based attention spectral network for motor imagery-brain computer interface

Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches

DSP-MCF: dual stream pre-training and multi-view consistency fine-tuning for cross-subject EEG emotion recognition

Advancing individual finger classification through a sandwich enhanced CBAM network with ultra-high-density EEG data