AI Techniques to Explore the Relationship Between Structural and Function Brain Connectivities

It is not fully understood how structural brain connectivities give rise to functional brain connectivities. The objective of this project is to apply Deep Learning and Machine Learning techniques to explore the complex relationship between structural and functional brain connectivities and accurately describe this important structure-function relationship. A linear brain dynamic network model will be learnt, studied developed and analyzed. This model’s prediction capabilities to infer function correlation (obtained from EEG, MEG and fMRI) from structural connectivity (obtained from diffusion MRI) will be tested and validated through experimentation.

Faculty Supervisor:

Bahman Gharesifard

Student:

Partner:

Inria Sophia Antipolis - Méditerranée Research Centre

Discipline:

Computer science

Sector:

Education

University:

Queen's University

Program: