Dounia Mulders - PhD student (aspirant FNRS)

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.

Group members

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

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ICONIP

Linear Periodic Discriminant Analysis

2020

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

accepted

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Journal of Neuroscience Methods

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

2020

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

308:106-115

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Latent Variable Analysis and Signal Separation LVA/ICA

Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns

2020

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

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Cerebral Cortex

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

2020

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

28(10):3650-3664.

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

NOCIONS : PAIN RESEARCH AT UCLOUVAIN