Fractal dimension (FD) analysis, a powerful tool that has significantly advanced our
understanding of brain complexity, evolving from basic geometrical characterization to the …

Brain-computer interface (BCI) technology enables innovative communication between the
brain and machines, extending its impact beyond healthcare to various daily activities …

Objectives An important challenge in epilepsy is to define biomarkers of response to
treatment. Many electroencephalography (EEG) methods and indices have been developed …

Advancements in neuroscience and artificial intelligence are propelling rapid progress in
brain–computer interfaces (BCIs). These developments hold significant potential for …

This paper is dedicated to solving the issue of insufficient feature extraction and declining
model performance in the classification of motor imagery electroencephalogram (EEG) …

One paper focuses on investigating the transition to dementia in patients with mild cognitive
impairment (MCI) and leukoaraiosis using MRI data (Marzi et al., 2023). The longitudinal …

Objective Complex visual hallucinations (VH) are a core feature of dementia with Lewy
bodies (DLB), though they may not occur in all patients. Power spectral density (PSD) …

The utilization of motor imagery-based brain-computer interfaces (MI-BCI) has been shown
to assist stroke patients activate motor regions in the brain. In particular, the brain regions …

Abstract A Brain-Computer Interface (BCI) serves as a vital link between the brain and both
internal and external environments, with broad applications in medicine and rehabilitation …

Motor imagery brain computer interface (BCI) systems are considered one of the most
crucial paradigms and have received extensive attention from researchers worldwide …