Results 81 to 90 of about 16,961 (213)

A Wireless EEG System for Neurofeedback Training

Applied Sciences, 2022
This paper presents a mobile, easy-to-maintain wireless electroencephalograph (EEG) system designed for work with children in a school environment. This EEG data acquisition platform is a small-sized, battery-powered system with a high sampling rate that is scalable to different channel numbers.
Tsvetalin Totev, Tihomir Taskov, Juliana Dushanova   +2 more
openaire   +2 more sources

Distinct Cortical Activation in Adolescents With Social Anxiety Disorder: An fNIRS Study

Brain and Behavior, Volume 16, Issue 4, April 2026.
Using functional near‐infrared spectroscopy (fNIRS) during a verbal fluency task, adolescents with social anxiety disorder (SAD) showed distinct hemodynamic responses in frontotemporal regions compared to healthy controls. The Δ β in CH4 was negatively associated with both social avoidance and social distress scores, while the Δ β in CH40 was ...
Huishan Liu, Jinru Zhang, Ying Niu, Weihai Huang, Qiqi Li, Zhifen Liu, Gerard Leavey, Gaizhi Li   +7 more
wiley   +1 more source

EEG source imaging assists decoding in a face recognition task

, 2017
EEG based brain state decoding has numerous applications. State of the art decoding is based on processing of the multivariate sensor space signal, however evidence is mounting that EEG source reconstruction can assist decoding.
Andersen, Michael Riis, Andersen, Rasmus S., Eliasen, Anders U., Hansen, Lars Kai, Hansen, Sofie Therese, Pedersen, Nicolai   +5 more
core   +1 more source

Global Trends in Research of Brain‐Computer Interfaces in Neuroscience From 2014 to 2023: A Bibliometric Analysis

CNS Neuroscience &Therapeutics, Volume 32, Issue 4, April 2026.
This bibliometric study summarizes the global progress of brain‐computer interfaces (BCIs) research based on 2386 publications from 2014 to 2023. Our analysis identifies China as a leading contributor, with electroencephalography (EEG), rehabilitation, and motor cortex emerging as key research hotspots, providing important guidance for future BCI ...
Yangfan Yu, Wentong Liu, Sirui Ju, Lishan He, Nanting Chen, Alexandr N. Chernov, Jianfeng Zhang, Jinning Mao, Guodong Liu   +8 more
wiley   +1 more source

Neurofeedback for Binge‐Eating Disorder: Neurophysiological Outcome Predictors and Rapid Response

International Journal of Eating Disorders, Volume 59, Issue 4, Page 766-777, April 2026.
ABSTRACT Objective Pioneer studies suggested the effectiveness of food‐specific electroencephalography (EEG) and real‐time functional near‐infrared spectroscopy (rtfNIRS) neurofeedback (NF) trainings in the treatment of binge‐eating disorder (BED). These trainings aim to improve participants' neurophysiological self‐regulation.
Ben Schreglmann, Ricarda Schmidt, Michael Lührs, Anja Hilbert   +3 more
wiley   +1 more source

Watching Together, Yet Feeling Apart: Interpersonal Neural Synchronization as a Marker of Symptom Severity in Children With Autism Spectrum Disorder During Naturalistic Viewing

Human Brain Mapping, Volume 47, Issue 5, 1 April 2026.
Overview of the Experimental Paradigm, fNIRS Data Acquisition, and Analytical Framework. ABSTRACT Social interaction impairments in autism spectrum disorder (ASD) have been widely attributed to deficits in empathy, including both cognitive and affective components. However, the underlying neural mechanisms remain incompletely understood. In the current
Jieqiong Liu, Yan Wu, Zijing Wang, Yujiao Deng, Zhijuan Jin, Xiaoning Sun, Yanrui Jiang, Guangshuai Wang, Mingming Zhang, Fan Jiang, Guanghai Wang   +10 more
wiley   +1 more source

Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces

, 2018
We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs).
Bassett, Danielle S., Chavez, Mario, Corsi, Marie-Constance, Fallani, Fabrizio De Vico, Hugueville, Laurent, Khambhati, Ankit N., Schwartz, Denis   +6 more
core   +3 more sources

Predicting mental imagery based BCI performance from personality, cognitive profile and neurophysiological patterns [PDF]

, 2015
Mental-Imagery based Brain-Computer Interfaces (MI-BCIs) allow their users to send commands to a computer using their brain-activity alone (typically measured by ElectroEncephaloGraphy— EEG), which is processed while they perform specific mental tasks.
A Bamdadian, A Harris, A Lécuyer, A Ramos-Murguialday, A Vromen, AL Benton, B Allison, B Blankertz, B Graimann, Bernard N’Kaoua, BP Rourke, C Guger, C Neuper, C Neuper, Camille Jeunet, CD Spielberger, D Coyle, D Wechsler, DA Kolb, DB Berch, Doron Friedman, E Combrisson, EM Hammer, EM Hammer, EV Friedrich, F Lotte, F Nijboer, F Nijboer, Fabien Lotte, G Pfurtscheller, GR Müller-Putz, H Levenson, H Ramoser, I Daum, JB Van Erp, JdR Millán, JHK Friedman, JR Wolpaw, KK Ang, L Aftanas, LF Nicolas-Alonso, M Ahn, M Ahn, M Grosse-Wentrup, M Grosse-Wentrup, M Witte, Martin Hachet, MG Moore, MJ Whittingham, MM Bradley, N Hara, N LeBoutillier, N Neumann, R N’Kambou, RB Cattell, RH Bruininks, RM Felder, S Derksen, SE Poltrock, SG Vandenberg, Sriram Subramanian, W Burde, W Klimesch, WS Noble, Y Renard   +64 more
core   +5 more sources

The Effects of Corrective Exercises and Respiratory Biofeedback on the Kyphosis Angle and Electrical Activity of Trapezius Muscles in Male Adolescents With Kyphosis: A Randomized Controlled Trial

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background and Aims Thoracic kyphosis is a prevalent postural abnormality among adolescents, which can impair musculoskeletal alignment and affect neuromuscular function. Despite the known benefits of corrective exercises, limited attention has been given to the role of respiratory biofeedback.
Shahla Hasheminezhad, Aliyeh Daryabor, Hassan Safikhani, Negin Ghorbani   +3 more
wiley   +1 more source

Motor Imagery Training With Neurofeedback From the Frontal Pole Facilitated Sensorimotor Cortical Activity and Improved Hand Dexterity

Frontiers in Neuroscience, 2020
To develop a real-time neurofeedback system from the anterior prefrontal cortex (aPFC) using functional near-infrared spectroscopy (fNIRS) for motor rehabilitation, we investigated the effects of motor imagery training with neurofeedback from the aPFC on
Yuya Ota, Kouichi Takamoto, Kouichi Takamoto, Susumu Urakawa, Hiroshi Nishimaru, Jumpei Matsumoto, Yusaku Takamura, Masahito Mihara, Taketoshi Ono, Hisao Nishijo   +9 more
doaj   +1 more source