Latest AI and machine learning research in seizures for healthcare professionals.
In this study, we investigate the use of temporal dynamics in brain connectivity for the classificat...
The efficacy of transcranial magnetic stimulation (TMS) is often limited by non-adaptive protocols t...
The application of artificial intelligence (AI)/machine learning (ML) to MRI can be a powerful tool ...
This paper presents an approach of combining Electroencephalography (EEG) and Electromyography (EMG)...
Creativity is essential for innovation, yet the brain mechanisms supporting its moment-to-moment var...
This study provides an integrated electrophysiological and behavioral account of the neuro-cognitive...
Physiological time-series data, like electroencephalography (EEG), are vulnerable to motion, ocular,...
Absence epilepsy is a generalized seizure disorder marked by widespread spike-and-wave oscillations ...
In this study, we describe a deep learning framework for automated seizure annotation in stereo elec...
Deep neural networks (DNNs) are a leading computational framework for understanding neural visual pr...
Abundant evidence shows that when listening to speech or reading text, we continuously make predicti...
Accurately localizing the epileptogenic network (EpiNet) remains a major barrier to effective epilep...
Deep learning (DL) models have achieved impressive performance in EEG-based prediction tasks, but th...
Human perception is robust under challenging conditions, for example when sensory inputs change over...
Accurate identification of the seizure onset zone (SOZ) using intracranial electroencephalography (i...
Deep learning has emerged as a powerful tool for extracting meaningful patterns from electroencephal...
Deep neural networks applied to signal processing tasks often need specialized architectural mechani...
Beta bursts are brief, transient increases in beta-band (13–30 Hz) EEG activity that play a key role...
When we listen to music, we often feel a pleasurable urge to move to music, known as groove. While p...
fMRI signals were traditionally seen as slow and sampled in the order of seconds, but recent technol...
Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts seve...