Predicting regional vulnerability in the brain using dynamic modeling of resting-state fMRI data

A new macroscopic computational model of brain oscillations in resting-state fMRI data was developed and evaluated. Results show that the effect of local lesions can be captured and studied by making regional changes in oscillation dynamics. The proposed model provides an opportunity to study the effects of many brain diseases such as traumatic brain injury and neurodevelopmental disorders and provides a model framework for in-silico studies of therapeutic brain excitability.

Publication: Kaboodvand N, van den Heuvel MP, Fransson P. Adaptive frequency-based modeling of whole-brain oscillations: Predicting regional vulnerability and hazardousness rates. Netw Neurosci. 2019 Sep 1;3(4):1094-1120. doi: 10.1162/netn_a_00104. eCollection 2019.