Abstract
Computational studies of the influence of different network parameters on the dynamic and topological network effects of brain stimulation can enhance our understanding of different outcomes between individuals. In this study, a brain stimulation session along with the subsequent post-stimulation brain activity is simulated for a period of one day using a network of modified Wilson-Cowan oscillators coupled according to diffusion imaging based structural connectivity. We use this computational model to examine how differences in the inter-region connectivity and the excitability of stimulated regions at the time of stimulation can affect post-stimulation behaviours. Our findings indicate that the initial inter-region connectivity can heavily affect the changes that stimulation induces in the connectivity of the network. Moreover, differences in the excitability of the stimulated regions seem to lead to different post-stimulation connectivity changes across the model network, including on the internal connectivity of non-stimulated regions.
Highlights
Pharmaceutical drugs that can pass through the blood-brain-barrier lead to changes in the whole brain, which can result in severe side effects that have been documented in numerous clinical studies [1, 2]
Our findings indicate that, simulated effects of brain stimulation differ when brain connectivity networks of healthy controls and epilepsy patients are used and stimulation leads to distinct long-term changes in the internal connectivity of non-stimulated regions, which appear hours after the end of the stimulation session
We simulate the Computational modelling of the effects of brain stimulation on the connectivity of epileptic patients changes stimulation seems to induce in each node representing a brain region with emphasis at the stimulated nodes which represent the brain regions most often associated with seizure generation
Summary
Pharmaceutical drugs that can pass through the blood-brain-barrier lead to changes in the whole brain, which can result in severe side effects that have been documented in numerous clinical studies [1, 2]. Instead, targeted approaches that only directly affect a small number of brain regions have been proposed. Computational modelling of the effects of brain stimulation on the connectivity of epileptic patients
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