Frontiers in Human Neuroscience | Brain-Computer Interfaces section | New and Recent Articles https://www.frontiersin.org/journals/human-neuroscience/sections/brain-computer-interfaces RSS Feed for Brain-Computer Interfaces section in the Frontiers in Human Neuroscience journal | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-05-12T07:45:03.25+00:00 60 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1774230 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1774230 <![CDATA[Brain-computer interfaces and neural synchronization in esports: a systematic review of effects on reaction time, decision-making, and cognitive performance]]> 2026-05-08T00:00:00Z Systematic Review Prashant Kumar ChoudharySuchishrava ChoudharySohom SahaYajuvendra Singh RajpootVasile-Cătălin CiocanVoinea Nicolae-LucianCarmina Mihaela GorganConstantin Șufaru https://www.frontiersin.org/articles/10.3389/fnhum.2026.1778884 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1778884 <![CDATA[Toward practical BCIs: a BMNABC-based feature selection and sensor optimization framework for implicit learning detection from multimodal EEG-fNIRS data]]> 2026-05-04T00:00:00Z Original Research Chayapol ChaiyananTustanah PhukhacheeKeiji IraminaBoonserm Kaewkamnerdpong https://www.frontiersin.org/articles/10.3389/fnhum.2026.1812507 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1812507 <![CDATA[Cortical activity increases in speech motor areas as a function of the subjective loudness of inner speech]]> 2026-05-01T00:00:00Z Original Research Barry H. CohenBin Zhang https://www.frontiersin.org/articles/10.3389/fnhum.2026.1836774 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1836774 <![CDATA[Editorial: Non invasive BCI for communication]]> 2026-04-27T00:00:00Z Editorial Sadaf MoaveninejadEduardo Santamaría-VázquezJiahua XuCamillo Porcaro https://www.frontiersin.org/articles/10.3389/fnhum.2026.1777024 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1777024 <![CDATA[Brain-computer interface: an update for the clinicians]]> 2026-04-22T00:00:00Z Review Agam JainSreelakshmi RaveendranKrishnan Padmakumari Sivaraman NairSubasree Ramakrishnan https://www.frontiersin.org/articles/10.3389/fnhum.2026.1793705 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1793705 <![CDATA[In-ear EEG wearables for brain activity assessment and cognitive rehabilitation: the emerging role of multimodal embedded intelligence]]> 2026-04-20T00:00:00Z Review Asma ChannaHerbert F. JelinekAbdelkader Nasreddine BelkacemMohamed AtefIbrahim (Abe) M. Elfadel https://www.frontiersin.org/articles/10.3389/fnhum.2025.1695370 https://www.frontiersin.org/articles/10.3389/fnhum.2025.1695370 <![CDATA[Exploring individual biases in BCI research and users: Does gender matter?]]> 2026-04-17T00:00:00Z Original Research Cornelia HerbertViviana Ramos AcunaRaphael R. K. KneippNina I. Kapfer https://www.frontiersin.org/articles/10.3389/fnhum.2026.1774409 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1774409 <![CDATA[Case Report: post-stroke rehabilitation with a visuomotor transformation-based brain-computer interface]]> 2026-04-14T00:00:00Z Case Report Alisa KokorinaNikolay SyrovLev YakovlevMikhail Lebedev https://www.frontiersin.org/articles/10.3389/fnhum.2026.1811759 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1811759 <![CDATA[MCFANet: a multi-class fusion attention network for motor imagery EEG classification]]> 2026-04-09T00:00:00Z Original Research Peijie ZhaoTong LiangHao JiaAzure DayanJosep Dinarès-FerranJordi Solé-Casals https://www.frontiersin.org/articles/10.3389/fnhum.2026.1697837 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1697837 <![CDATA[EEG-based brain–computer interface with immersive virtual reality for phantom limb pain: a single-center pilot neurofeedback trial]]> 2026-04-07T00:00:00Z Original Research Vincent RoualdesSaïd MoussaouiJean-Marie NormandEmmanuelle KuhnJulien NizardAurélien Van Langhenhove 70%) even as task difficulty increased, demonstrating system feasibility. No adverse events occurred. Compared to baseline, patients experienced a significant short-term reduction in paroxysmal pain (frequency and intensity of pain “flare-ups”), with up to >80% median decrease in weekly cumulated pain episode intensity (p < 0.001). Three of five patients also reported around 30% improvement in average daily pain during the first post-training month. HADS anxiety/depression scores showed a non-significant improving trend. By 3–6 months post-training, pain levels had largely returned to pre-intervention values.ConclusionThis pilot study supports the safety and feasibility of EEG-BCI with VR for PLP and suggests that it can yield short-term analgesic effects, particularly on paroxysmal pain. These findings support the hypothesis that sensorimotor re-engagement could effectively target maladaptive neural processes underlying PLP, while warranting confirmation in controlled trials. Future work will optimize the training protocol and investigate neuroplastic changes associated with this BCI-VR intervention.]]> https://www.frontiersin.org/articles/10.3389/fnhum.2026.1791677 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1791677 <![CDATA[Electroencephalogram-based multimodal attention level classification using deep learning techniques]]> 2026-03-27T00:00:00Z Original Research Yi ZhongZhenyu WangXi ZhaoTianheng XuTing ZhouHonglin Hu https://www.frontiersin.org/articles/10.3389/fnhum.2026.1720969 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1720969 <![CDATA[Individualized electrode subset improves the calibration accuracy of an EEG P300-design brain-computer interface for people with severe cerebral palsy]]> 2026-03-26T00:00:00Z Original Research Si Long Jenny TouSeth A. WarschauskyPetra KarlssonJane E. Huggins https://www.frontiersin.org/articles/10.3389/fnhum.2026.1712380 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1712380 <![CDATA[Polarity-considered EEG microstates improve classification accuracy of oddball stimulus]]> 2026-03-18T00:00:00Z Original Research Tatsumi TsubakiShiho KashiharaTomohisa AsaiHiroshi ImamizuIsao Nambu https://www.frontiersin.org/articles/10.3389/fnhum.2026.1747655 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1747655 <![CDATA[Open access individual finger movement dataset with fNIRS]]> 2026-03-13T00:00:00Z Data Report Haroon KhanHammad NazeerPeyman Mirtaheri https://www.frontiersin.org/articles/10.3389/fnhum.2026.1755549 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1755549 <![CDATA[Dynamic graph based attention spectral network for motor imagery-brain computer interface]]> 2026-03-04T00:00:00Z Original Research Zexiong ShaoZhenghui GuLe CheZhuliang YuYuanqing Li https://www.frontiersin.org/articles/10.3389/fnhum.2026.1795349 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1795349 <![CDATA[Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches]]> 2026-02-20T00:00:00Z Editorial Baidaa Al-Bander https://www.frontiersin.org/articles/10.3389/fnhum.2026.1751058 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1751058 <![CDATA[Advancing individual finger classification through a sandwich enhanced CBAM network with ultra-high-density EEG data]]> 2026-02-18T00:00:00Z Original Research Xinguo ZhangYiman ZhangHong PengTao Deng https://www.frontiersin.org/articles/10.3389/fnhum.2026.1723907 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1723907 <![CDATA[DSP-MCF: dual stream pre-training and multi-view consistency fine-tuning for cross-subject EEG emotion recognition]]> 2026-02-18T00:00:00Z Original Research Jingjing LiXinqi LiuXia WuYa WangXin Huang https://www.frontiersin.org/articles/10.3389/fnhum.2026.1738876 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1738876 <![CDATA[Individualized brain-computer interface for people with disabilities: a review]]> 2026-02-10T00:00:00Z Review Simanto SahaPetra KarlssonCollin AndersonOmid KaveheiAlistair McEwan https://www.frontiersin.org/articles/10.3389/fnhum.2026.1743936 https://www.frontiersin.org/articles/10.3389/fnhum.2026.1743936 <![CDATA[To assure aviation safety: the pilot fatigue detection based on short-term multimodal physiological signals]]> 2026-02-03T00:00:00Z Original Research Kai ChenJiming LiuJiamei ZhuYan XuLin ZhangZhenxing Gao