Elucidating Human Brain Connectivity Through Deep Learning and Network Analysis
Published:
- Funding: 25K AUD + 1 PhD scholarship (tuition fee + stipend for 3 years), which is equivalent to $254,200 AUD.
- Investigators: Kerri Morgan, Frank Jiang, Julien Ugon, Sergiy Shelyag, Hung Le, Nicholas Parsons, Govinda Poudel, Alex Hocking
- Role: Partner Investigator. Design deep learning models
- Abstract: In this project, we have identified local features of the brain network that may contribute to preferred structural pathways that facilitate functional connectivity. The relevance or these features in terms of brain function and physiology has been established by a thorough literature search and expertise of collaborators in neuroscience. These have been used as input to a machine learning program developed to determine their contributions in an algorithm for finding these structural pathways using local knowledge only. A paper based on this work is currently in preparation. We have also completed and submitted a paper on structuralfunctional connectivity.