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Sophie Guetat

Doctorant -  UNS


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titre
Interactive Human Interface for ERP Component Extraction from Gifted Children
auteur
Kawther Benharrath, Amine Ben Slama, Balkine Khadoumi, Mounir Sayadi, Olivier Meste, Sophie Guetat, Jerome Lebrun, Marie-Noële Magnié-Mauro
article
Intelligent Automation and Soft Computing, Tech Science Press, 2022, Intelligent Automation & Soft Computing, 33 (2), pp.1063-1080. ⟨10.32604/iasc.2022.023446⟩
annee_publi
2022
resume
In the last century, scientists started to give importance to gifted children (GC) and to understand their behavior. Since then, research has pursued the various categories of these children and their early diagnosis in order to find the best control of their skills. Therefore, most researchers focus on recent advances in electroencephalogram (EEG) and cognitive events. The event-related brain potentials (ERPs) technique is generally used in the cognitive neuroscience process. However, it is still a challenge to extract these potentials from a few trials of electroencephalogram (EEG) data. The N400 ERP component is an important part of the studies of cerebral science and clinical neuropsychology. In this ongoing study, a new experimentation protocol and human tablet interactive equipment were assigned to analyze the brain activity. A combination of two techniques the Integral Shape Averaging (ISA) and Integral Shape Averaging applied on belated window (ISA-BW) was built to extract the semantic component from a single trial and to enhance the signal-to-noise ratio (S/N). The results obtained were compared with the most used method in the medical field Grand Average (GA). In addition, a statistical study was performed on a database for accurate characterization of children using feature reduction. The experimental results show the efficiency of the suggested approach which manifests the discriminant statistical feature extraction (J = 2.032) from ERP component dataset that can contribute to the recognition of GC. The proposed method is reinforced by a pilot device processed by an electrical engineer to improve the protocol simulation. The experimental procedure proves that the present approach is very interesting and helpful for improving the identification of such gifted children.
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https://hal.archives-ouvertes.fr/hal-03587593/file/Interactive_Human_Interface_for_ERP_Comp.pdf BibTex
titre
Single-Trial Detection of Event-Related Potentials with Integral Shape Averaging: An Application to the Elusive N400
auteur
Giulia Rocco, Hervé Rix, Jerome Lebrun, Sophie Guetat, Lucile Chanquoy, Olivier Meste, Marie-Noële Magnié-Mauro
article
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2021), IEEE, Nov 2021, Mexico (virtual), Mexico. pp.1022-1025, ⟨10.1109/EMBC46164.2021.9630271⟩
annee_publi
2021
resume
The estimation of Event-Related Potentials (ERPs) from the ambient EEG is a difficult task, usually achieved through the synchronous averaging of an extensive series of trials. However, this technique has some caveats: the ERPs have to be strictly time-locked with similar shape, i.e. emitted with the same latency and the same profile, with minor fluctuations of their amplitudes. Also, the method requires a huge number of valid trials (~100) to efficiently raise the ERPs from the EEG trials. In the case of cognitive ERPs, as with the N400, the delivered stimulus has to be different for each trial, the latencies are varying, and the number of available trials is usually low. In this paper, an alternative method, coined Integral Shape Averaging (ISA) and its derivatives are detailed. ISA is robust to varying latencies and affine transforms of shape. Furthermore, a new method coined ISAD can be derived to extract ERPs even from a single trial experiment. The aim here is to illustrate the potential of ISAD for N400 component extraction on real EEG data, with emphasis on its general applicability for ERPs computation and its major assets like reduced experimental protocol. Some insights are also given on its potential use to study ERP variability, through shape and latency.Clinical Relevance— The proposed algorithm aims to be a helpful tool in clinical practice to analyze and interpret evoked responses in real experimental settings, especially for particularities in neurology.
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titre
A new approach to detect N400 event-related potentials in giftedness children
auteur
Kawther Benharrath, Balkine Khaddoumi, Mounir Sayadi, Herve Rix, Olivier Meste, Jerome Lebrun, Sophie Guetat, Marie-Noële Magnié-Mauro
article
2020 IEEE 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET), Dec 2020, Hammamet, Tunisia. pp.75-78, ⟨10.1109/IC_ASET49463.2020.9318262⟩
annee_publi
2020
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titre
Feature Optimization for Gifted Children Diagnosis
auteur
Kawther Benharrath, Balkine Khaddoumi, Mounir Sayadi, Herve Rix, Olivier Meste, Jerome Lebrun, Sophie Guetat, Marie-Noële Magnié-Mauro
article
2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), IEEE, Sep 2020, Sousse, Tunisia. pp.1-6, ⟨10.1109/ATSIP49331.2020.9231719⟩
annee_publi
2020
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titre
Gifted Children and Written Language Difficulties: A Study of Event Related Brain Potentials and Written Performance
auteur
Lucile Chanquoy, Sophie Guetat, Jerome Lebrun, Marie-Noële Magnié-Mauro
article
60th Annual Meeting of the Psychonomic Society, Nov 2019, Montreal, Canada. pp.xxxviii # 2121, ⟨10.13140/RG.2.2.26299.69922⟩
annee_publi
2019
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titre
A new scheme using signal processing tools to evoke and analyze event-related potentials in giftedness : A cross-disciplinary approach
auteur
Sophie Guetat, Davide Coluzzi, Hervé Rix, Jerome Lebrun, Olivier Meste, Kawther Benharrath, Balkine Khaddoumi, Lucile Chanquoy, Marie-Noële Magnié-Mauro
article
NeuroMod Days - 1st Meeting of the NeuroMod Institute, Jul 2019, Frejus, France. ⟨10.13140/RG.2.2.27820.13445⟩
annee_publi
2019
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titre
Particularities about brain asymmetry and lexicosemantic processing in giftedness: a transdisciplinary approach
auteur
Marie-Noële Magnié-Mauro, Olivier Meste, Hervé Rix, Lucile Chanquoy, Sophie Guetat, Balkine Khaddoumi
article
First European Asymmetry Symposium, Mar 2018, Nice, France
annee_publi
2018
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