Dounia Mulders - PhD student (aspirant FNRS)

Group : 

André Mouraux

My research aims to characterize the human brain networks involved in the processing of nociceptive inputs, and to highlight to which extent the development of a chronic pain state could be related to some changes in these networks. To this end, novel signal processing tools and machine learning techniques will be designed, in order to analyze scalp and intracerebral EEG recordings.

Publications

2020

Dynamics of the perception and EEG signals triggered by tonic warm and cool stimulation

PLoS ONE

Mulders D, de Bodt C, Lejeune N, Courtin A, Liberati G, Verleysen M, Mouraux A.

in press.

2018

Linear Periodic Discriminant Analysis

ICONIP

Mulders D, de Boot C, Lejeune N, Mouraux A, Verleysen M.

in press.

2018

EEG time-warping to study non-strictly-periodic EEG signals related to the production of rhythmic movements

Journal of Neuroscience Methods

Chemin B, Huang G, Mulders D, Mouraux A.

in press.

2018

Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns

Latent Variable Analysis and Signal Separation LVA/ICA

Mulders D, de Bodt C, Lejeune N, Mouraux A, Verleysen M.

in press.

2017

Gamma-band oscillations preferential for nociception can be recorded in the human insula

Cerebral Cortex

Liberati G, Klöcker A, Algoet M, Mulders D, Safronova MM, Ferrao Santos S, Vaz JG, Raftopoulos C, Mouraux A.

in press.

Institute of Neuroscience (IONS) - Université catholique de Louvain (UCL)

NOCIONS : PAIN RESEARCH AT UCLOUVAIN