A review of user training methods in brain computer interfaces based on mental tasks

A Roc, L Pillette, J Mladenovic… - Journal of Neural …, 2021 - iopscience.iop.org
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …

On closed-loop brain stimulation systems for improving the quality of life of patients with neurological disorders

AN Belkacem, N Jamil, S Khalid… - Frontiers in human …, 2023 - frontiersin.org
Emerging brain technologies have significantly transformed human life in recent decades.
For instance, the closed-loop brain-computer interface (BCI) is an advanced software …

Real-time EEG–EMG human–machine interface-based control system for a lower-limb exoskeleton

SY Gordleeva, SA Lobov, NA Grigorev… - Ieee …, 2020 - ieeexplore.ieee.org
This article presents a rehabilitation technique based on a lower-limb exoskeleton
integrated with a human-machine interface (HMI). HMI is used to record and process …

A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery

NA Grigorev, AO Savosenkov… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
In this study, we address the issue of whether vibrotactile feedback can enhance the motor
cortex excitability translated into the plastic changes in local cortical areas during motor …

A survey on the use of haptic feedback for brain-computer interfaces and neurofeedback

M Fleury, G Lioi, C Barillot, A Lécuyer - Frontiers in neuroscience, 2020 - frontiersin.org
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 …

Improving motor imagery-based brain-computer interface performance based on sensory stimulation training: an approach focused on poorly performing users

S Park, J Ha, DH Kim, L Kim - Frontiers in Neuroscience, 2021 - frontiersin.org
The motor imagery (MI)-based brain-computer interface (BCI) is an intuitive interface that
provides control over computer applications directly from brain activity. However, it has …

Brain–Computer interfaces in neurorecovery and neurorehabilitation

MJ Young, DJ Lin, LR Hochberg - Seminars in neurology, 2021 - thieme-connect.com
Recent advances in brain–computer interface technology to restore and rehabilitate
neurologic function aim to enable persons with disabling neurologic conditions to …

Transcranial magnetic stimulation of the dorsolateral prefrontal cortex increases posterior theta rhythm and reduces latency of motor imagery

S Kurkin, S Gordleeva, A Savosenkov, N Grigorev… - Sensors, 2023 - mdpi.com
Experiments show activation of the left dorsolateral prefrontal cortex (DLPFC) in motor
imagery (MI) tasks, but its functional role requires further investigation. Here, we address this …

A novel theta-controlled vibrotactile brain–computer interface to treat chronic pain: a pilot study

P Demarest, N Rustamov, J Swift, T Xie, M Adamek… - Scientific reports, 2024 - nature.com
Limitations in chronic pain therapies necessitate novel interventions that are effective,
accessible, and safe. Brain–computer interfaces (BCIs) provide a promising modality for …

Multi-session influence of two modalities of feedback and their order of presentation on MI-BCI user training

L Pillette, B N'kaoua, R Sabau, B Glize… - Multimodal Technologies …, 2021 - mdpi.com
By performing motor-imagery tasks, for example, imagining hand movements, Motor-
Imagery based Brain-Computer Interfaces (MI-BCIs) users can control digital technologies …