Major depressive disorder (MDD) is characterized by changes in both rest and task states as
manifested in temporal dynamics (EEG) and spatial patterns (fMRI). Are rest and task …

Over the last two decades, electroencephalography (EEG) has emerged as a reliable tool for
the diagnosis of cortical disorders such as Alzheimer's disease (AD). Typically, resting-state …

This work explores the intricate neural dynamics associated with dyslexia through the lens of
Cross-Frequency Coupling (CFC) analysis applied to electroencephalography (EEG) …

Motor imagery (MI) is the most used paradigm in Brain-Computer Interface (BCI). As in other
BCI paradigms, it is divided into feature extraction and classification. In this study, we …

Предмет исследования. Методы объединения данных функциональной
нейровизуализации и алгоритмы их асимметричной обработки для решения обратной …

This paper is focused on optimizing EEG source localization of visual neural activities
generated in the posterior lobe of the human brain. The visual and neural systems of the …

This paper present an experimental study that evaluates the performance of a Motor-
Imagery (MI) Brain-Computer Interface (BCI) using different electrodes configuration in order …

A robotic/orthotic hand that is controlled by an electroencephalograph (EEG)-based brain
computer interface (BCI) which can perform wrist extension (WE) and wrist flexion (WF), can …

Functional magnetic resonance imaging (fMRI) is one of the most powerful neuroimaging
modalities due to its high spatio-temporal resolution characteristics. This known modality is …