Sébastien Dam

Contact

Research interests

• Studying the relationships between brain structure and function, and to leverage them for investigating brain neurological disorders, especially depression and anxiety for the moment.
• Exploring graph signal processing and machine/deep learning to identify biomarkers of depression, using diffusion and functional MRI.

Short resume

• Visiting Ph.D., “Graph Slepian Framework: Guided Filtering and Application to Neuroimaging”, MIP:Lab, EPFL & University of Geneva, Geneva, Switzerland (May 2024 – August 2024)
  • Advisor: Dimitri Van De Ville
  • Developing a new filtering scheme of graph signals to highlight the contributions of brain structure and function.
  • Exploring interactions of brain networks with dMRI and fMRI.
  • Extending the graph Slepian approach to clinical data.
• Ph.D., “Graph signal processing for estimating biomarkers of brain connectivity”, Empenn team, INRIA, France (since Oct 2022)
  • Advisors: Pierre Maurel & Julie Coloigner
  • Neuroimaging: diffusion and functional MRI brain data preprocessing and analysis.
  • Studying structure-function coupling with graph signal processing.
  • Leveraging graph convolutional networks to investigate depression and anxiety.
  • Characterization of brain network impairments for MRI-based biomarkers in depression.
• Master Degree in Computer Science, Université de Technologie de Compiègne, Compiègne, France (2021- 2022)
  
• Master’s in Computer Engineering, Université de Technologie de Compiègne, Compiègne, France (2017 – 2022)
  

Publications

Journal Articles

• Dam, S., Batail, J. M., Robert, G. H., Drapier, D., Maurel, P., & Coloigner, J. (2024). Structural Brain Connectivity and Treatment Improvement in Mood Disorder. Brain connectivity, 14(4), 239–251.
• Roy, J. C., Hédouin, R., Desmidt, T., Dam, S., Mirea-Grivel, I., Weyl, L., Bannier, E., Barantin, L., Drapier, D., Batail, J. M., David, R., Coloigner, J., & Robert, G. H. (2024). Quantifying Apathy in Late-Life Depression: Unraveling Neurobehavioral Links Through Daily Activity Patterns and Brain Connectivity Analysis. Biological psychiatry. Cognitive neuroscience and neuroimaging, 9(7), 639–649.
• Roy, J. C., Desmidt, T., Dam, S., Mirea-Grivel, I., Weyl, L., Bannier, E., Barantin, L., Drapier, D., Batail, J. M., David, R., Coloigner, J., & Robert, G. H. (2023). Connectivity patterns of the core resting-state networks associated with apathy in late-life depression. Journal of psychiatry & neuroscience : JPN, 48(6), E404–E413.

Conference Papers

• Dam, S., Maurel, P., & Coloigner, J. (2024). Graph Wavelet Packets for the Classification of Brain Data in Anxiety and Depression. EUSIPCO 2024 – 32nd European conference on signal processing, Aug 2024, Lyon, France. pp.1-5.

Manuscript

• Dam, S., Batail, J. M., Maurel, P., & Coloigner, J. (2024). Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression. Submitted to IEEE Transactions on Signal and Information Processing over Networks, Special Issue on Learning on Graphs for Biology and Medicine.

Oral communications

• Dam, S., Batail, J. M., Maurel, P., & Coloigner, J. Réseau de neurones convolutifs sur graphes multimodal pour l’étude de la structure et de la fonction cérébrales dans l’anxiété et la dépression à l’adolescence. IABM 2025 – 3ème édition du Colloque Français d’Intelligence Artificielle en Imagerie Biomédicale, March 2025, Nice, France.
• Dam, S., Maurel, P., & Coloigner, J. (2024). GSP-derived brain features for classification in anxiety and depression. ISBI 2024, Special session: Brain Graph Signal Processing.

Check my website -> soon ! 🙂