Latest AI and machine learning research in seizures for healthcare professionals.
The normal cellular prion protein (PrPC) can misfold into an infectious and pathogenic form (PrPSc) ...
Depression electroencephalograph (EEG) classification based on machine learning is helpful for the a...
Electroencephalography (EEG) signal classification plays a critical role in various biomedical and c...
Dementia, a neurological disorder, can cause cognitive decline due to damage to the brain. Our study...
PURPOSE: Music perception is a fundamental human experience, integral to cognitive and emotional pro...
Epilepsy is a common manifestation in patients with lower grade glioma (LGG), often presenting as th...
BACKGROUND: Surgical resection is an effective treatment for medically refractory mesial temporal lo...
EEG-based seizure prediction enables timely treatment for patients, but its performance is limited b...
Recent advances in artificial intelligence (AI) and machine learning (ML) can revolutionize neuromod...
Due to the lack of validated universal seizure markers, population-level prediction methods often ex...
This work aims to promote early and accurate diagnosis of Temporal Lobe Epilepsy (TLE) by developing...
This paper presents a Brain Computing Interface (BCI) system utilizing Electroencephalography (EEG) ...
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges...
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, per...
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG...
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking...
Decoding signals from the CNS brain activity is done by a computer-based communication device called...
Emotion recognition via EEG signals and facial analysis becomes one of the key aspects of human-comp...
The human thalamus projects nerve fibers to all cortical regions and propagates epileptic activity. ...
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG),...
Blood-based biomarkers in epilepsy could constitute important research tools advancing neurobiologic...