Vincent Wens

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 paper develops a method to assess beta oscillations in the sensorimotor cortex using peripheral electromyography and force recordings, validated in healthy and Parkinson's disease participants.

The paper investigates how theta-band brain synchronization during immediate and post-sleep recall sessions in children supports memory recall dynamics and performance.

This paper introduces signal space beamforming (SSB) to suppress interference in wearable MEG data without requiring precise sensor gain or geometry calibration, validated on epileptic and neurodevelopmental datasets.

This study shows that synchronous speech-based vibrotactile stimulation improves speech comprehension in multi-talker noise by enhancing cortical tracking of speech and modulating brain connectivity.

This study shows infants detect visual regularities through neural entrainment, with greater occipital responses to deterministic patterns than random ones early in exposure.

This paper demonstrates the use of optically pumped magnetometers (OPM-MEG) to non-invasively record fetal and newborn brain responses to auditory stimuli, showing significant evoked responses and reduced latency in infants.

This study uses OPM-MEG to record brain responses in newborns, showing significant evoked responses to auditory stimuli and validating results with adult MEG.

The paper examines the relationship between theta-band resting-state functional connectivity and declarative memory abilities in children, finding a positive correlation in specific brain networks.

This study examines how motor learning and consolidation relate to fast and slow brain dynamics during wake and sleep using resting-state neural activity.

The paper investigates the role of bursting and non-bursting neural activity in functional brain networks, demonstrating that correcting for power bias reveals the importance of brain rhythms in network connectivity.

This paper introduces a new OPM-MEG system with improved portability and dynamic range, showing comparable performance to existing systems in measuring brain activity.

This paper develops automated methods using ICA and HMM to detect and localize interictal epileptiform discharges in MEG data, showing high sensitivity and potential to improve clinical practice.

The paper identifies language-responsive neural channels in individual participants using MEG, showing spatial stability within individuals but variability across individuals, leading to greater sensitivity in analyses.

This study shows that school-aged children have reduced cortical tracking of linguistic units in speech, especially in noisy environments, compared to adults.

This study investigates whether abnormal cortical tracking of speech in dyslexia is a cause or consequence of the disorder and how it is affected by reading experience and noise.

The paper examines how cortical oscillations in children and adults track speech structures in noise, showing that prosodic cue maintenance matures earlier than syllabic cue maintenance in noisy environments.

This study compares microstate analysis and hidden Markov modeling of MEG/EEG data to show they capture different spatial and temporal aspects of brain activity.

This study links reduced alpha peak frequency to episodic memory impairment in aging, showing correlations with encoding efficiency and hippocampal function.

This study uses MEG to analyze spectro-temporal neural dynamics during sentence completion, identifying distinct oscillatory patterns and their spatial characteristics.

This study uses MEG to show that numerosity is automatically processed in both occipital and parietal regions, with parietal responses uniquely associated with numerosity discrimination.

This study examines age-related changes in resting-state brain function from childhood to late adulthood using magnetoencephalography, finding increased integration and stability in development and reduced integration in aging.

The paper examines how speech perception in noise relates to reading strategies in children, finding distinct neural correlates for lexical and sublexical reading.

This study examines how resting-state network dynamics change in Alzheimer's disease using MEG and PET/MR, finding altered posterior DMN activation patterns in AD patients linked to structural and metabolic changes.

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.