Using whole-brain modelling and brain dynamics to generate consistent functional metrics

DONNELLY KEHOE, P.

Buenos Aires

Conferencia; 2nd LATIN AMERICAN BRAIN MAPPING NETWORK MEETING; 2017

LATIN AMERICAN BRAIN MAPPING NETWORK

Resting state fMRI has been the primary tool for studying the functional organization of the human brain. Most conventional resting state quantification techniques, based on Pearson correlations, have shown low test-retest reproducibility, making them unusable for clinical applications. Here we show an imaging-based technique capable of portraying information of local dynamics at a single-subject level reliably by using a whole-brain model that estimates a local bifurcation parameter, which reflects if a brain region presents stable, asynchronous or transitory oscillations. Here, I will show how this approach allows to examine individual global and local brain dynamics with high consistency and how it is possible to estimate the optimal scanning time. I will also show that brain hubs exhibit specific dynamics and that frontal areas have larger variations compared to other regions. Finally, I will demonstrate how this framework can be used to address clinical questions using as an example the effect of deep brain stimulation in Parkinson?s Disease. This framework can be used to study functional brain dynamics on an individual level, opening new avenues for possible clinical applications.