Jeroen Van Schependom

This paper introduces a multi-parametric spectral analysis to disentangle neural excitability and synaptic kinetics from non-invasive electrophysiological recordings, showing its ability to detect Alzheimer's disease signatures.

This study uses MEG data and a data-driven method to identify task-specific brain states linked to information processing speed in multiple sclerosis, finding reduced prefrontal activation in patients.

This paper investigates the 1/f slope modulation during cognitive tasks in MS patients and healthy controls, finding it as a paradigm-independent marker of cognitive control and E/I balance, with reduced modulation in benzodiazepine-treated MS patients.

This paper uses TDE-HMM to analyze MEG data from a working memory task in MS patients, identifying altered activation patterns in specific brain networks linked to cognitive impairment and treatment effects.

This paper analyzes MEG data from people with multiple sclerosis and healthy controls to show that a flatter 1/f spectral slope after distractor stimuli correlates with impaired inhibition of irrelevant information and worse visuospatial working memory.

This paper uses TDE-HMM to analyze MEG data and identifies four task-specific brain states associated with working memory processes.

This study shows that the 1/f spectral slope from MEG recordings correlates with E/I ratio and cognitive function in MS patients, and is affected by benzodiazepine treatment.

The paper identifies two modes of neural communication in the human brain—extrinsic coupling via phase synchronization and intrinsic integration via amplitude correlation—during rest and tasks.

The paper examines EEG connectivity patterns in schizophrenia patients and finds reduced interhemispheric and increased intrahemispheric connectivity in specific brain regions.