Latest AI and machine learning research in seizures for healthcare professionals.
Accurate and efficient electroencephalography (EEG) analysis is essential for detecting seizures a...
The prospects of assessing neural complexity (NC) by $q$-statistics of the systemic organization o...
EEG-based neural networks, pivotal in medical diagnosis and brain-computer interfaces, face signif...
Normative mapping is a framework used to map population-level features of health-related variables...
This study investigates the potential of multimodal data integration, which combines electroenceph...
This study investigates continual fine-tuning strategies for deep learning in online longitudinal ...
Major depressive disorder (MDD) is a psychiatric disorder characterized by persistent lethargy that ...
During brain function, groups of neurons fire synchronously. When these groups are large enough, t...
As a type of multi-dimensional sequential data, the spatial and temporal dependencies of electroen...
Emotions play a crucial role in human behavior and decision-making, making emotion recognition a k...
Self Supervised Representation Learning (SSRepL) can capture meaningful and robust representations...
Vagus nerve stimulation (VNS) has emerged as a promising therapeutic intervention across various n...
This paper presents the very first attempt to evaluate machine learning fairness for depression de...
Recent studies have shown promising results in the detection of Mild Cognitive Impairment (MCI) us...
The development of EEG decoding algorithms confronts challenges such as data sparsity, subject var...
The resting-state brain networks (RSNs) reflects the functional connectivity patterns between brai...
Objective: This study explores a novel deep learning approach for EEG analysis and perceptual stat...
In current medical practice, patients undergoing depression treatment must wait four to six weeks ...
Rapid Serial Visual Presentation (RSVP)-based Brain-Computer Interfaces (BCIs) facilitate high-thr...
Rapid Serial Visual Presentation (RSVP)-based Brain-Computer Interface (BCI) is an effective techn...
A Magnetoencephalography (MEG) time-series recording consists of multi-channel signals collected b...