Psychiatrist at the Adult Psychiatry Department of Versailles Hospital
MD, PhD, HDR
email: ebrunet (at the domain name) ght78sud.fr
Area of Research
Schizophrenia, social cognition, neuroimaging, event related potentials, IRMf
Other centers of interest: deep learning, natural language processing, virtual reality
My main research interest concern severe and persistent mental conditions associated with psychological disability. I have been working on social cognition evaluation (theory of mind) in schizophrenia, developping experimental paradigms for behavioral and neuroimaging studies. The conclusions are now published. We are currently working on a hybrid study combining clinical research and the implementation of a psychosocial rehabilitation intervention in several adult psychiatric outpatient centers in the west part of Paris (PASSVers2).
In the past years we have been working with Dr. Paul Roux and Mickael Ehrminger on larger populations of patients assessed by the FondaMental Center of Expertise. This work raised the interest for data processing methods allowing us to manage large and unstructured datasets. Deep learning algorithms, natural language processing (for instance, deep-attentional or transformers models or lstm models) count among the most innovative and promising ways to investigate mental health questions. We are currently working with a BERT-derived model as shown in this research report :
Preprint (no peer review): Sedki, M., Vidal, N., Roux, P., Barry, C., Speranza, M., Falissard, B., & Brunet-Gouet, E. (2023). Using a self-attention architecture to automate valence categorization of French teenagers’ free descriptions of their family relationships. A proof of concept. [Preprint]. Health Informatics. https://doi.org/10.1101/2023.01.16.23284557
In another work, we challenged the recently proposed ChatGPT model with theory-of-mind tasks in order to see whether it had some mentalizing skills or not. Here we report some contrasted results, the chatbot demonstrating impressive answer generations skills. However, it seems sometimes to miss completely the use of an intentional stance. We discuss some improvements in the training procedure in order to favor mentalization logic.
Preprint (no peer review): Eric Brunet-Gouet, Nathan Vidal, & Paul Roux. (2023). Do conversational agents have a theory of mind? A single case study of ChatGPT with the Hinting, False Beliefs and False Photographs, and Strange Stories paradigms. (version 1). Zenodo. https://doi.org/10.5281/zenodo.7637476
Investigating large databases with complex data raises several questions about data encoding and the appropriate way to manage this complexity. We recently started with Nathan Vidal a work about prescription data in mental health and more precisely the pharmacological effects of psychotropes. It is well known that anticholinergic properties of antipsychotics and antidepressants are negative for cognitive functioning. Nathan will carefully consider this question and provide some new ways to encode treatments and their differents properties in order to process large datasets from hospitals or outpatients facilities with these predictors.
Fédération DEMENŸ-VAUCANSON / FéDeV - http://fedev.universite-paris-saclay.fr/
UniAct at NeuroSpin (Pr. Lucie Hertz-Pannier) with Philippe Azouvi and Claire Vallat-Azouvi's Plastim-MDT project (multimodal brain imaging investigation of the effects of working memory training in traumatic brain injury)
Berthet, F., Niculcea, D.-A., Younes, N., & Brunet-Gouet, E. (2022). Brief psychotic disorder revealing a SARS-COV-2 encephalopathy in a patient with myasthenia gravis : A case report. L’Encéphale, S0013700622001130. https://doi.org/10.1016/j.encep.2022.04.001
Brunet-Gouet, E., Decaix-Tisserand, C., Urbach, M., Bazin, N., Aouizerate, B., Brunel, L., Capdevielle, D., Chereau, I., Dubertret, C., Dubreucq, J., Fond, G., Lançon, C., Leignier, S., Mallet, J., Misdrahi, D., Pires, S., Schneider, P., Schurhoff, F., Yazbek, H., … Roux, P. (2021). Outcome prediction with a social cognitive battery : A multicenter longitudinal study. Npj Schizophrenia, 7(1), 30. https://doi.org/10.1038/s41537-021-00160-5
Ehrminger, M., Roux, P., Urbach, M., André, M., Aouizerate, B., Berna, F., Bohec, A.-L., Capdevielle, D., Chéreau, I., Clauss, J., Dubertret, C., Dubreucq, J., Fond, G., Honciuc, R.-M., Lançon, C., Laouamri, H., Leigner, S., Mallet, J., Misdrahi, D., … Brunet-Gouet, E. (2020). The puzzle of quality of life in schizophrenia : Putting the pieces together with the FACE-SZ cohort. Psychological Medicine, 1‑8. https://doi.org/10.1017/S0033291720003311
Brunet-Gouet E, Urbach M, Ramos V, Ehrminger M, Aouizerate B, Brunel L, Capdevielle D, Chereau I, Dubertret C, Dubreucq J, Fond G, Lançon C, Leignier S, Mallet J, Misdrahi D, Pires S, Schneider P, Schürhoff F, Yazbek H, Zinetti-Bertschy A, Bazin N, Passerieux C, Roux P. Assessing metacognitive and help-seeking strategies in schizophrenia: design and psychometric validation of the Versailles Metacognitive Strategies Evaluation Questionnaire. Clinical Rehabilitation. 2020, 34(2):263-275.
Yang, Y.-F., Brunet-Gouet, E., Burca, M., Kalunga, E. K., & Amorim, M.-A. (2020). Brain Processes While Struggling With Evidence Accumulation During Facial Emotion Recognition : An ERP Study. Frontiers in Human Neuroscience, 14. https://doi.org/10.3389/fnhum.2020.00340
Brunet-Gouet, E., Roux, P. (2018) Connaître et quantifier les déterminants du fonctionnement dans les troubles mentaux sévères et persistants in Traité de Réhabilitation, Eds N Franck, Masson
Brunet-Gouet, E., Oker, A., (2014, ré-édité en 2018) Points de vus théoriques et pratiques sur l’évaluation de la cognition sociale dans la schizophrénie (in Cognition sociale et schizophrénie Outils d'évaluation et de remediation Masson, Editeurs N. Franck; puis in Traité de Réhabilitation, Eds N Franck, Masson)