Brain-computer interfaces (BCIs) have emerged as a promising technology for enhancing
communication between the human brain and external devices. Electroencephalography …

Motion artifacts hinder source-level analysis of mobile electroencephalography (EEG) data
using independent component analysis (ICA). iCanClean is a novel cleaning algorithm that …

Background Rett syndrome (RS) is a rare neurodevelopmental disorder characterized by
mutations in the MECP2 gene. Patients with RS have severe motor abnormalities and are …

Spontaneous EEG contains important information about neuronal network properties that is
valuable for understanding different neurological and psychiatric conditions. Rett syndrome …

Rett syndrome (RTT), a severe neurodevelopmental disorder caused by MECP2 gene
abnormalities, is characterized by atypical EEG activity, and its detailed examination is …

Major depressive disorder (MDD) is characterized by dramatic and persistent worsening of
mood, as well as a subjective feeling of time slowing. However, experimental data on time …

Emerging applications, such as robot-assisted eldercare and object recognition, generally
employ deep learning neural networks (DNNs) models and naturally require: i) handling …

Introduction Time perception is a fundamental cognitive function, the brain mechanisms of
which are not fully understood. Recent electroencephalography (EEG) studies have shown …

Major depressive disorder (MDD) and obsessive-compulsive disorder (OCD) are psychiatric
disorders that often co-occur. We aimed to investigate whether their high comorbidity could …

Our study describes the effects of sensory tetanization on neurophysiological and behavioral
measures in humans linking cellular studies of long-term potentiation with high-level brain …