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

PLoS ONE

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

2020

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

15(4):e0231698

PDF

ICONIP

Linear Periodic Discriminant Analysis

2018

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

accepted

Journal of Neuroscience Methods

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

2018

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

308:106-115

PDF

Latent Variable Analysis and Signal Separation LVA/ICA

Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns

2018

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

In: Deville Y, Gannot S, Mason R, Plumbley M, Ward D (eds). Lecture notes in Computer Science, vol 10891. Springer

PDF

Cerebral Cortex

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

2017

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

28(10):3650-3664.

PDF

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

NOCIONS : PAIN RESEARCH AT UCLOUVAIN