Around a third of the total population of Europe suffers from mental disorders. The use of
electroencephalography (EEG) together with Machine Learning (ML) algorithms to diagnose …

In recent years, the number of patients with neurodegenerative diseases (ie, Alzheimer's
disease, Parkinson's disease, mild cognitive impairment) and mental disorders (ie …

Objective In patients with medically refractory focal epilepsy, stereotactic‐
electroencephalography (SEEG) can aid in localizing epileptogenic regions for surgical …

Epilepsy is a complicated neurological disorder, that features recurrent seizures. During a
seizure, the repetitive action potentials lead to a high-frequency burst, and a hyper …

Aim: In neuroscience research, data are quite often characterized by an imbalanced
distribution between the majority and minority classes, an issue that can limit or even worsen …

Drug refractory epilepsy (RE) is believed to be associated with structural lesions, but some
RE patients show no significant structural abnormalities (RE-no-SA) on conventional …

There is growing interest in studying human brain connectivity and in modelling the brain
functional structure as a network. Brain network creation requires parcellation of the cerebral …

Objective To investigate dynamic changes in neural activity between the anterior nucleus of
the thalamus (ANT) and the seizure onset zone (SOZ) in patients with drug‐resistant …

Abstracting causal knowledge from process measurements has become an appealing topic
for decades, especially for fault root cause analysis (RCA) based on signals recorded by …

In this study, we explored the possibility of developing non-invasive biomarkers for patients
with type 1 diabetes (T1D) by quantifying the directional couplings between the cardiac …