I am conducting my research in 3 main directions:

• The development of new automatized fMRI capture methods for hallucination experiences: “Hallucinations capture” refers to a fMRI analysis method that allows to visualize the brain activity concomitant to hallucinatory events. Our team contributed to this field by validating a method based on a two-steps strategy: (i) a multivariate data-driven analysis of per-hallucinatory fMRI recording, and (ii) a selection of the components of interest based on a post-fMRI interview. More recently, we improved fMRI hallucinations capture through the use of Machine-Learning algorithms (Biol Psychiatry 2022). These techniques potentially take fMRI to therapeutic applications, and this project intends to test the efficacy of fMRI-guided rTMS and fMRI-based neurofeedback to relieve drug-resistant hallucinations.
• The validation of a new E-Health tool for early-onset hallucinations: he MHASC (Multisensory Hallucinations Scale for Children) is a new category of validated mHealth application, dedicated to the complete assessment of early-onset hallucinations. Vision, hearing, touch, smell, taste… MHASC explores hallucinatory profiles in various sensory modalities. The combination of such technological advance may lead to significant benefits in the rigorous assessment of common features of hallucinatory experiences in children and adolescents. A multi-language beta version for Android or iOS devices is currently under validation.
• The validation of a new multiscale framework for schizophrenia based on the Circular Inference model: Recent advances in theoretical neuroscience have provided new insights into information processing within large brain-like networks operating in an uncertain world. The computational framework can overcome some of the complexity within the object of study by predicting how basic changes in neural architecture may lead to systems-level changes that translate into changes in behavior. Computational models offer ways to unify basic neurochemical findings with data from more macroscopic levels and to start to apply these findings to cognitive sciences and psychiatry. We are currently developing a theory on how impaired inhibition in hierarchical neural could cause erroneous perceptions (Brain 2013, Nat Commun 2017, Schizophren Res 2022, NeuroImage 2023).

In terms of teaching activities, I'm coordinating the future "Brain, Society & Technology" graduate program at the University of Lille, which will integrate a new joint-Master in Neurotechnology built between partners from the neurotechEU alliance.

Feel free to get in touch regarding opportunities for semester, Master & PhD projects.