Latest AI and machine learning research in seizures for healthcare professionals.
OBJECTIVES: Epilepsy is a disorder causing repeated seizures because of unusual brain activity recor...
OBJECTIVE: Epilepsy is a debilitating disorder affecting more than 50 million people worldwide, and ...
Transcranial direct current stimulation (tDCS) as a non-invasive stimulation is still in the experim...
BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for major d...
BACKGROUND: Epilepsy is a multifaceted neurological disorder marked by seizures that can present wit...
INTRODUCTION: The seizure episodes result from abnormal and excessive electrical discharges by a gro...
Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated ...
Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annu...
OBJECTIVE: This study investigated EEG microstate dynamics in trigeminal neuralgia (TN) patients to ...
BACKGROUND: Major Depressive Disorder is a leading cause of disability worldwide. An accurate assess...
OBJECTIVE: This study was undertaken to develop a deep learning framework that can classify and segm...
OBJECTIVE: Seizure unpredictability can be debilitating and dangerous for people with epilepsy. Accu...
Nicotine abstinence inhibits the function of the mesolimbic dopamine system to enhance craving. EEG ...
Cortico-cortical evoked potentials (CCEPs) are an active electrophysiological technique used during ...
Speech imagery-the process of mentally simulating speech without vocalization-is a promising approac...
Electroencephalography (EEG) is a widely used tool for monitoring brain activity, but it is often di...
Automatic sleep staging from single-channel electroencephalography (EEG) using artificial intelligen...
Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using el...
BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related...
The utilization of large language model-based artificial intelligence (AI) in the field of neurology...
In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-ta...