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Anca Pasnicu

Publications -  9
Citations -  251

Anca Pasnicu is an academic researcher. The author has contributed to research in topics: Cortical dysplasia & Epilepsy. The author has an hindex of 4, co-authored 9 publications receiving 206 citations.

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Journal ArticleDOI

Removal of muscle artifact from EEG data: comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches

TL;DR: EMD outperformed the three other algorithms for the denoising of data highly contaminated by muscular activity and suggests that the performance of muscle artifact correction methods strongly depend on the level of data contamination, and of the source configuration underlying EEG signals.
Journal ArticleDOI

Modulation of epileptic activity by deep brain stimulation: a model-based study of frequency-dependent effects.

TL;DR: A macroscopic (neural mass) model of the thalamocortical network is developed, in line with already-existing models, which includes interconnected neocortical pyramidal cells and interneurons, thalamic cells and reticular neurons and introduces the biophysical effects of direct stimulation.
Journal ArticleDOI

Modulation of paroxysmal activity in focal cortical dysplasia by centromedian thalamic nucleus stimulation.

TL;DR: It is suggested that the centromedian thalamic nucleus is a worthwhile stimulation target for alternative treatment in selected cases of drug-resistant nonsurgical epilepsy.
Book ChapterDOI

Muscle Artifact Removal in Ictal Scalp-EEG Based on Blind Source Separation

TL;DR: Evaluating the ability of Independent Component Analysis and Canonical Correlation Analysis, to remove muscle artefacts from surface EEG signals showed that some ICA methods and CCA removed successfully the muscle artifact without altering the recorded underlying ictal activity.

Voxel Based Analysis of 3D Double Inversion Recovery for the detection of cortical abnormalities in drug resistant epilepsy

TL;DR: This research presents the results of a six-month study conducted at the University of Rennes using the Neurinfo MR imaging platform to characterize the dynamic response of the nervous system in animals.