EEGLAB is one of the most famous software for processing, analyzing, and researching
experiments that have Electroencephalography (EEG) datasets. Due to the numerous add …

Background: Alzheimer's disease (AD) and epilepsy represent two complex neurological
disorders with distinct clinical manifestations, yet recent research has highlighted their …

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder and a leading cause of
dementia. Aging is a significant risk factor for AD, emphasizing the importance of early …

The early detection of cognitive decline in older adults is crucial for preventing dementia.
This mini-review focuses on electroencephalography (EEG) markers of early dementia …

Depression is a complex mental illness that has significant effects on people as well as
society. The traditional techniques for the diagnosis of depression, along with the potential of …

Purpose Epilepsy is a widespread neurological disorder that increases the risk of cognitive
impairment (CI) or dementia. We aimed to assess the relationship between cognition and …

Dengue, a fast-spreading vector-borne infectious disease, requires early prediction and
prompt decision-making for effective control. To address this issue, we present a …

Since the development of the food choice questionnaire (FCQ) to assess consumers' food
choice motives in 1995, studies using the FCQ have been highly diverse. Despite the …

This study examines the complex relationships between ocean literacy, climate change, and
health in coastal living environments through a scoping review and bibliometric analysis …

Neurofeedback training (NFT) is a brain wave self-training method that has gained attention
in recent years, especially as an alternative for neurorehabilitation specifically for people …