Abstract Background and Objective: The simultaneous execution of a motor and cognitive
dual task may lead to the deterioration of task performance in one or both tasks due to …

Assessing mental workload using electroencephalogram (EEG) signals is a significant
research avenue within the brain–computer interface (BCI) domain. However, due to the low …

Neurovascular coupling (NVC) connects neural activity with hemodynamics and plays a vital
role in sustaining brain function. Combining electroencephalography (EEG) and functional …

Working memory load (WML) is one of the widely applied signals in the areas of human–
machine interaction. The precise evaluation of the WML is crucial for this kind of application …

Functional near-infrared spectroscopy (fNIRS) is a non-invasive, portable brain imaging
technology capable of objectively reflect cognitive states. Recently, Graph Convolutional …

Advances in artificial intelligence have significantly enhanced intelligent assistance and
rehabilitation medicine by leveraging electroencephalogram (EEG) signal recognition …

In the application of brain–computer interface, the differences in imaging methods and brain
structure between subjects hinder the effectiveness of decoding algorithms when applied on …

Focusing attention in visual working memory (vWM) depends on the ability to filter distractors
and expand the scope of targets. Although many properties of attention processes in vWM …

Abstract Background and Objective The hybrid brain computer interfaces (BCI) combining
electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) have …

Neurovascular coupling (NVC) provides important insights into the intricate activity of brain
functioning and may aid in the early diagnosis of brain diseases. Emerging evidences have …