The aim of this study was to investigate the potential impact of guided imagery (GI) on
attentional control and cognitive performance and to explore the relationship between …

Brain–computer interface (BCI) technology holds promise for individuals with profound
motor impairments, offering the potential for communication and control. Motor imagery (MI) …

Brain-computer interface BCI) is a technology that assists in straight link among the human
brain as well as external devices like computers or robotic systems, without including …

Speech imagery (SI) is a Brain-Computer Interface (BCI) paradigm based on EEG signals
analysis where the user imagines speaking out a vowel, phoneme, syllable, or word without …

Brain–computer interfaces (BCIs) from electroencephalography (EEG) provide a practical
approach to support human–technology interaction. In particular, motor imagery (MI) is a …

Motor imagery (MI) classification based on electroencephalogram (EEG) is a widely-used
technique in non-invasive brain-computer interface (BCI) systems. Since EEG recordings …

Brain-computer interfaces (BCIs) built based on motor imagery paradigm have found
extensive utilization in motor rehabilitation and the control of assistive applications …

Motor imagery brain-computer interfaces (MI-BCIs) play a crucial role in fields such as robot
control and stroke rehabilitation. With the flourishing development of deep learning, there …

Introduction: The decoding of the motor imaging electroencephalogram (MI-EEG) is the most
critical part of the brain-computer interface (BCI) system. However, the inherent complexity of …

Sex differences emerge early in infancy. A number of earlier studies have investigated the
resting-state network of infant sleep states, and there have been many studies using …