Research

My interdisciplinary project focuses on the embodied and reciprocal nature of human cognition that encompasses biological, behavioral and social levels of organizations. I seek new conceptual and methodological approaches towards a better understanding of coordination dynamics across those scales.

Methodologically, my work is at the cross-road of social psychology, cognitive neuroscience, and system biology. It uses new neuroimaging techniques such as hyperscanning (recording of multiple people’s brain activity while they are interacting). This allows to investigate relationships between coordination at both neural, behavioral and social levels. For instance, my first paper assessed the emergence of inter-brain synchronizations when two people enter in interactional synchrony through reciprocal and spontaneous imitation. This project continued through analyses of intra-individual neuromarkers, neurocomputational simulations of two human brains in interaction, and an hyperscanning study involving people with Asperger syndrome. During my postdoc at FAU, I worked on multiscale coordination dynamics through the combination of theoretical modeling of non-linear systems and a new experimental platform of Human-Machine Interface (HMI).

My research project is now trying to disentangle the strong complexity and heterogeneity of social cognition across levels by combining neuroimaging, system biology, and big data approaches. I am now working at the Institut Pasteur to investigate the neurogenetics of Autism Spectrum Disorders in the laboratory of Prof. Thomas Bourgeron, and coordinate the research platform SoNeTAA (Social Neuroscience for Therapeutic Approach of Autism) at the child hospital Robert-Debré, embedded in the psychiatric department lead by Prof. Richard Delorme. I am also implicated in the data management and analyses of the EUAIMS consortium, the largest collaborative project about Autism in Europe.

Interests

  • Human Cognition
  • Social Interaction
  • Autism Spectrum Disorders
  • Neurodynamics
  • Multiscale modeling
  • Complex Systems
  • Systems Biology
  • Genomics

Collaboration

Dr Roberto Toro

Dr Roberto Toro

Institut Pasteur, Paris, France

Group Website
Pr Thomas Bourgeron

Pr Thomas Bourgeron

Institut Pasteur, Paris, France

Laboratory Website
Pr Richard Delorme

Pr Richard Delorme

Hospital Robert-Debré, Paris

Institut Pasteur profile
Dr Thomas Rolland

Dr Thomas Rolland

Institut Pasteur, Paris, France

Personal website
Dr Eva Loth

Dr Eva Loth

King’s College London, UK

Google Scholar Profile
Dr Benno Schwikowski

Dr Benno Schwikowski

Systems Biology Lab, Institut Pasteur, Paris, France

Group Website
Pr J.A. Scott Kelso

Pr J.A. Scott Kelso

Florida Atlantic University, Boca Raton, USA

Personal Website
Dr Emmanuelle Tognoli

Dr Emmanuelle Tognoli

Florida Atlantic University, Boca Raton, USA

Personal Website
Pr Jacqueline Nadel

Pr Jacqueline Nadel

CNRS, Paris, France

Profile
Dr Robert Soussignan

Dr Robert Soussignan

CNRS, Dijon, France

Google Scholar profile
Dr Leonhard Schilbach

Dr Leonhard Schilbach

Max Planck Institute of Psychiatry, Munich, Germany

Personal Website
Dr Denis A. Engemann

Dr Denis A. Engemann

Neurospin/Unicog & ICM/PICNIC Lab

Personal Website
Dr Danilo Bzdok

Dr Danilo Bzdok

MNI/Mila, Montreal, Candada

Personal Website
Dr Viviane Kostrubiec

Dr Viviane Kostrubiec

Université Paul Sabatier, Toulouse, France

Personal Website
Dr Alexandre Lehmann

Dr Alexandre Lehmann

McGill University, Montreal, Canada

ResearchGate profile
Dr Julien Laroche

Dr Julien Laroche

Akoustic Arts, Paris, France

ResearchGate profile

Supervision

Aline Lefebvre, M.D.

Aline Lefebvre, M.D.

Ph.D. Student — Neuropsychiatry

Yank-Min Kim

Yank-Min Kim

Ph.D. Student — Bioinformatics

Projects

  • Hyperscanning-EEG

    Simultaneous brain recording of multiple subjects in interaction.

    I use hyperscanning to study how the brain activity is different during active social interaction and passive social observation. For instance, I uncovered specific neural signatures of social contexts (e.g. spontaneous/forced) and social roles (e.g. leader/follower). I also discovered how spontaneous social exchanges give rise to phase synchronization between the brain activities of interacting individuals.

  • Human Dynamic Clamp

    Experimentally grounded human-machine interaction.

    The Human Dynamic Clamp (HDC) consists of a human interacting reciprocally with a virtual partner (VP), a computational model grounded in empirical studies of behavioral coordination. Both the intrinsic dynamics of the VP and its coupling to the human (e.g. frequency, damping, coupling strength, even “intention”) can be manipulated in real-time thereby enabling a fully parametric exploration of the relationship between humans and surrogates of themselves.

  • Social Neurocomputational Modeling

    Biophysical computer simulations of social interaction.

    I started social neurocomputational modeling to provide insights on how structural connectivity at the anatomical level influences intra-individual integration of neural information, and facilitates inter-individual coupling through perception and action. Now, I am trying to link the structural and functional differences reported in autism with their social impairment.

  • SoNeTAA

    Social Neuroscience for Therapeutic Approaches in Autism.

    The project SoNeTAA combines human-human and human-machine interactions with electroencephalography (EEG) recording to approach social cognition from a situated and reciprocal standpoint. The project especially focuses on Autism Spectrum Disorders and aims to bridge the gap between state of the art social neuroscience methods and clinical practices.

  • AutismS Stratification

    Tackling autism heterogeneity with genes networks and machine learning.

    Discovering novel therapeutic approaches of autism is a challenge because patients are clinically, biologically and etiologically heterogeneous. This project aims at a stratification of ASD patients in clusters of more homogeneous genetic-phenotype relationships to test hypotheses about causal relationships between genetic mutations and altered phenotypes. This will help to better understand the commonalities in patients with ASD but also to develop individualized clinical interventions at both pharmacological and behavioral levels.

  • Neanderthal's synapses

    Paleogenomics of the genes implicated in the nervous system.

    Recent progress in sequencing and bioinformatics methods have given access to ancient DNA. This project aims at understanding the differential evolutionary pressure on the key proteins implicated in the nervous system, especially those related to synaptic genes.