Yesterday I attended a very interesting seminar with professors Alessandra Bertoldo, Alessandro Chiusi and Marco Zorzi from #unipd , from departments of information engineering, psychology, and neuroscience.
It was mostly about popularizing #fMRI and the clinical potential of such studies.
My mind was captured by two things, #effectiveconnectivity and the use of neural networks for #FunctionalConnectivity to symptoms mapping.
The core for me was: they are not talking about using deep learning, or the most apt deep learning architecture for the problems.
For EffectiveC., they were speaking about dynamical systems modeling (which is great!); for functional connectivity they cited convolutional autoencoders on the image or matrix of functional connectivity, which I really don't like unless number of channels and more importantly kernel dimension are discussed.
Overall, we are dealing with directed and undirected weighted graphs respectively, and we have architectures for those