Graph signal processing to investigate structure-function coupling during sleep

Brain functional activity emerges from the underlying anatomical structure of neural fiber bundles in a non trivial way. Considering functional magnetic resonance imaging (fMRI) recorded signals as defined on the structural graph allows us to address this question in the graph signal processing framework, adapting conventional signal processing concept to the domain of graphs. In this project, we aim at using this methodology to investigate how brain structure-function coupling dynamically varies during sleep.

Requirements    

  • Good programming skills are required (Python and/or Matlab, to read, understand, and translate code).
  • Knowledge of signal / image processing (from courses or practical experience) is a plus.
  • Desired: Travel to Geneva 1 day per week (train tickets reimbursed).

Please contact Maria Giulia Preti (maria.preti@epfl.ch) with your CV and we’ll get back to you with more details about this project.

References

Preti, M.G., Van De Ville, D. Decoupling of brain function from structure reveals regional behavioral specialization in humans. Nat Commun 10, 4747 (2019). https://doi.org/10.1038/s41467-019-12765-7