Cargando…

A Survey on the Use of Haptic Feedback for Brain-Computer Interfaces and Neurofeedback

Neurofeedback (NF) and brain-computer interface (BCI) applications rely on the registration and real-time feedback of individual patterns of brain activity with the aim of achieving self-regulation of specific neural substrates or control of external devices. These approaches have historically emplo...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fleury, Mathis, Lioi, Giulia, Barillot, Christian, Lécuyer, Anatole
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325479/ https://www.ncbi.nlm.nih.gov/pubmed/32655347 http://dx.doi.org/10.3389/fnins.2020.00528

Ejemplares similares

A Multi-Target Motor Imagery Training Using Bimodal EEG-fMRI Neurofeedback: A Pilot Study in Chronic Stroke Patients
por: Lioi, Giulia, et al.
Publicado: (2020)

Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration
por: Lioi, Giulia, et al.
Publicado: (2020)

How to Build a Hybrid Neurofeedback Platform Combining EEG and fMRI
por: Mano, Marsel, et al.
Publicado: (2017)

Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task
por: Perronnet, Lorraine, et al.
Publicado: (2017)

Designing Guiding Systems for Brain-Computer Interfaces
por: Kosmyna, Nataliya, et al.
Publicado: (2017)

Visual feedback improves movement illusions induced by tendon vibration after chronic stroke
por: Le Franc, Salomé, et al.
Publicado: (2021)

Influence of virtual reality visual feedback on the illusion of movement induced by tendon vibration of wrist in healthy participants
por: Le Franc, Salomé, et al.
Publicado: (2020)

Editorial: Brain-Computer Interfaces and Augmented/Virtual Reality
por: Putze, Felix, et al.
Publicado: (2020)

NFBLab—A Versatile Software for Neurofeedback and Brain-Computer Interface Research
por: Smetanin, Nikolai, et al.
Publicado: (2018)

Editorial: Artificial intelligence in brain-computer interfaces and neuroimaging for neuromodulation and neurofeedback
por: Ponce, Hiram, et al.
Publicado: (2022)

On the need to better specify the concept of “control” in brain-computer-interfaces/neurofeedback research
por: Wood, Guilherme, et al.
Publicado: (2014)

A conceptual space for EEG-based brain-computer interfaces
por: Kosmyna, Nataliya, et al.
Publicado: (2019)

A Novel Brain–Computer Interface Virtual Environment for Neurofeedback During Functional MRI
por: Baqapuri, Halim I., et al.
Publicado: (2021)

Estimating cognitive load during self-regulation of brain activity and neurofeedback with therapeutic brain-computer interfaces
por: Bauer, Robert, et al.
Publicado: (2015)

Brain–computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum
por: Friedrich, Elisabeth V. C., et al.
Publicado: (2014)

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

EEG-based local brain activity feedback training—tomographic neurofeedback
por: Bauer, Herbert, et al.
Publicado: (2014)

Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives
por: Le Franc, Salomé, et al.
Publicado: (2022)

Grasping Embodiment: Haptic Feedback for Artificial Limbs
por: Moore, Charles H., et al.
Publicado: (2021)

Editorial: Advances in haptic feedback for neurorobotics applications
por: Li, Min, et al.
Publicado: (2023)

Pantomime-Grasping: Advance Knowledge of Haptic Feedback Availability Supports an Absolute Visuo-Haptic Calibration
por: Davarpanah Jazi, Shirin, et al.
Publicado: (2016)

Influence of the visuo-proprioceptive illusion of movement and motor imagery of the wrist on EEG cortical excitability among healthy participants
por: Le Franc, Salomé, et al.
Publicado: (2021)

Assisting Movement Training and Execution With Visual and Haptic Feedback
por: Ewerton, Marco, et al.
Publicado: (2018)

Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback
por: Ramot, Michal, 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)

Effects of a Brain-Computer Interface With Virtual Reality (VR) Neurofeedback: A Pilot Study in Chronic Stroke Patients
por: Vourvopoulos, Athanasios, et al.
Publicado: (2019)

A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction
por: Cury, Claire, et al.
Publicado: (2020)

Attending to Visual Stimuli versus Performing Visual Imagery as a Control Strategy for EEG-based Brain-Computer Interfaces
por: Kosmyna, Nataliya, et al.
Publicado: (2018)

A brain-computer interface with vibrotactile biofeedback for haptic information
por: Chatterjee, Aniruddha, et al.
Publicado: (2007)

Continuous versus discrete robotic feedback for brain-computer interfaces aimed for neurorehabilitation
por: Carino-Escobar, Ruben I., et al.
Publicado: (2023)

Improving Challenge/Skill Ratio in a Multimodal Interface by Simultaneously Adapting Game Difficulty and Haptic Assistance through Psychophysiological and Performance Feedback
por: Rodriguez-Guerrero, Carlos, et al.
Publicado: (2017)

Selective visual attention to drive cognitive brain–machine interfaces: from concepts to neurofeedback and rehabilitation applications
por: Astrand, Elaine, et al.
Publicado: (2014)

Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm
por: Martinez, Pablo, et al.
Publicado: (2007)

Archaeologies of touch: interfacing with haptics from electricity to computing
por: Parisi, David
Publicado: (2018)

Design and Evaluation of Fusion Approach for Combining Brain and Gaze Inputs for Target Selection
por: Évain, Andéol, et al.
Publicado: (2016)

Longitudinal Electroencephalography Analysis in Subacute Stroke Patients During Intervention of Brain–Computer Interface With Exoskeleton Feedback
por: Chen, Shugeng, et al.
Publicado: (2020)

Humans Can Visually Judge Grasp Quality and Refine Their Judgments Through Visual and Haptic Feedback
por: Maiello, Guido, et al.
Publicado: (2021)

Biased feedback in brain-computer interfaces
por: Barbero, Álvaro, et al.
Publicado: (2010)

Effects of virtual reality-based feedback on neurofeedback training performance—A sham-controlled study
por: Berger, Lisa M., et al.
Publicado: (2022)

Low Cost MR Compatible Haptic Stimulation with Application to fMRI Neurofeedback
por: Young, Kymberly D., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_r0mvi5tfnv4764reb6gaakqlcc