Standardization of protocol design for user training in EEG-based brain–computer interface

J Mladenović - Journal of Neural Engineering, 2021 - iopscience.iop.org
Brain–computer interfaces (BCIs) are systems that enable a person to interact with a
machine using only neural activity. Such interaction can be non-intuitive for the user hence …

Vividness of visual imagery and personality impact motor-imagery brain computer interfaces

N Leeuwis, A Paas, M Alimardani - Frontiers in Human Neuroscience, 2021 - frontiersin.org
Brain-computer interfaces (BCIs) are communication bridges between a human brain and
external world, enabling humans to interact with their environment without muscle …

Challenge accepted? Individual performance gains for motor imagery practice with humanoid robotic EEG neurofeedback

M Daeglau, F Wallhoff, S Debener, IS Condro… - Sensors, 2020 - mdpi.com
Optimizing neurofeedback (NF) and brain–computer interface (BCI) implementations
constitutes a challenge across many fields and has so far been addressed by, among …

The individual difference of motor imagery ability evoked by visual stimulus and its personality manifestation

L Li, Z Yu, H Ma, Z He, Z Zhang, Z Wu, Y Zhang… - Heliyon, 2024 - cell.com
Motor imagery has been commonly studied as a means of motor rehabilitation but, the
individual differences limit its practical application. Visually evoked motor imagery has been …

Does imagery ability matter for the relationship between temperament and self-confidence in team and individual sport disciplines?

D Budnik-Przybylska, I Huzarska… - Frontiers in …, 2022 - frontiersin.org
The main purpose of our study was to investigate the relationship among temperamental
traits, a general tendency to use imagery, and self-confidence in sport. The specific aim was …

Prediction of inefficient BCI users based on cognitive skills and personality traits

LJ Hagedorn, N Leeuwis, M Alimardani - International Conference on …, 2021 - Springer
BCI inefficiency is one of the major challenges of Motor Imagery Brain-Computer Interfaces
(MI-BCI). Past research suggests that certain cognitive skills and personality traits correlate …

[HTML][HTML] Event-related desynchronization in motor imagery with EEG neurofeedback in the context of declarative interference and sleep

M Daeglau, C Zich, J Welzel, SK Saak, JF Scheffels… - Neuroimage …, 2021 - Elsevier
Motor imagery (MI) in combination with neurofeedback (NF) is a promising supplement to
facilitate the acquisition of motor abilities and the recovery of impaired motor abilities …

A functional BCI model by the P2731 working group: psychology

D Zapała, A Hossaini, M Kianpour… - Brain-Computer …, 2021 - Taylor & Francis
ABSTRACT The development of Brain-Computer Interfaces (BCI) gathers experts and
specialists in various fields, such as engineering, computer science, medicine, or cognitive …

Dependence of Brain–Computer Interface Control Training on Personality Traits

EV Bobrova, VV Reshetnikova, EA Vershinina… - Doklady Biochemistry …, 2022 - Springer
Personality traits (PTs) are predictors of the success of control of brain–computer interfaces
(BCIs); however, it is unknown how the PTs that are optimal for BCI control changes during …

Motor Imagery EEG neurofeedback skill acquisition in the context of declarative interference and sleep

M Daeglau, C Zich, J Welzel, SK Saak, JF Scheffels… - bioRxiv, 2020 - biorxiv.org
Motor imagery (MI) practice in combination with neurofeedback (NF) is a promising
supplement to facilitate the acquisition of motor abilities and the recovery of impaired motor …