Latest AI and machine learning research in seizures for healthcare professionals.
ObjectiveOur goal was to create open-source software for closed-loop EEG-TMS that allows researchers...
UNLABELLED: This study aims to develop an exploratory classification model for Juvenile Myoclonic Ep...
Emotion recognition via electroencephalogram (EEG) data is crucial for improving human-computer inte...
Synaptic increase is a common phenomenon in the brain of autism spectrum disorder (ASD). However, th...
Refractory epilepsy is an intractable neurological disorder that can be associated with oligogenic/p...
BACKGROUND: Brain-computer interface (BCI) facilitates the connection between human brain and comput...
Prolonged wakefulness is known to adversely affect basic cognitive abilities such as object recognit...
Decoding visual experience from brain signals offers exciting possibilities for neuroscience and i...
Electroencephalography (EEG) allows monitoring of brain activity, providing insights into the func...
EEG signals capture brain activity with high temporal and low spatial resolution, supporting appli...
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor sympto...
Neuroscience experiments and devices are generating unprecedented volumes of data, but analyzing and...
Virtual reality (VR), particularly through 3D presentations, significantly boosts user engagement an...
Electroencephalography (EEG) microstate analysis is a promising technique for detecting transient br...
One of the main risk factors for numerous health problems is excessive drinking. Alcoholism is a sev...
Deep learning for Electroencephalography (EEG) has become dominant in the tasks of discrimination an...
Patients with amyotrophic lateral sclerosis (ALS) in the completely locked-in state (CLIS) can los...
Understanding and decoding brain activity from electroencephalography (EEG) signals is a fundament...
Reconstructing 3D visual stimuli from Electroencephalography (EEG) data holds significant potentia...
The prevalence of sleep disorders in the aging population and the importance of sleep quality for he...
Speech imagery is an emerging brain-computer interface (BCI) paradigm with potential to provide effe...