A5052618915- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neuroscience and Music Perception
- Neural Networks and Applications
- Complex Systems and Time Series Analysis
- Functional Brain Connectivity Studies
- MicroRNA in disease regulation
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurogenesis and neuroplasticity mechanisms
- Heart Rate Variability and Autonomic Control
- Blind Source Separation Techniques
Amsterdam Neuroscience
2017-2021
Vrije Universiteit Amsterdam
2019
Amsterdam UMC Location Vrije Universiteit Amsterdam
2016
Institut de Biologie du Développement Marseille
2006
Detection of statistical irregularities, measured as a prediction error response, is fundamental to the perceptual monitoring environment. We studied whether response associated with neural oscillations or asynchronous broadband activity. Electrocorticography was conducted in three male monkeys, who passively listened auditory roving oddball stimuli. Local field potentials (LFPs) recorded over cortex underwent spectral principal component analysis, which decoupled and rhythmic components LFP...
Abstract The pleasure of music listening regulates daily behaviour and promotes rehabilitation in healthcare. Human emerges from the modulation spontaneous timely coordinated neuronal networks. Too little is known about physical properties neurophysiological underpinnings to understand its perception, health benefit deploy personalized or standardized music-therapy. Prior studies revealed how macroscopic patterns scale with frequency according a 1/ f α relationship, where scaling exponent....
Speech comprehension is preserved up to a threefold acceleration, but deteriorates rapidly at higher speeds. Current models posit that perceptual resilience accelerated speech limited by the brain's ability parse into syllabic units using δ/θ oscillations. Here, we investigated whether involvement of neuronal oscillations in processing also relates their scale-free amplitude modulation as indexed strength long-range temporal correlations (LRTC). We recorded MEG while 24 human subjects (12...
Conventional sleep analysis relies primarily on electroencephalogram (EEG) waveform features assessed in concert with eye movements, respiration and muscle tone. We explore a complementary "complexity domain" approach based multiscale entropy (MSE) of EEG signals discuss its relationships to standard that electrocardiogram (ECG)-derived cardiopulmonary coupling (CPC). observe progressive decrease complexity associated decreased arousability, as measured by both conventional scoring CPC...
Electroencephalographic (EEG) signals present a myriad of challenges to analysis, beginning with the detection artifacts. Prior approaches noise have utilized multiple techniques, including visual methods, independent component analysis and wavelets. However, no single method is broadly accepted, inviting alternative ways address this problem. Here, we introduce novel approach based on statistical physics method, multiscale entropy (MSE) which quantifies complexity signal. We postulate that...
Abstract Detection of statistical irregularities, measured as a prediction error response, is fundamental to the perceptual monitoring environment. We studied whether response associated with neural oscillations or asynchronous broadband activity. Electrocorticography (ECoG) was carried out in three male monkeys, who passively listened auditory roving oddball stimuli. Local field potentials (LFP) recorded over cortex underwent spectral principal component analysis, which decoupled and...