Journal title
Network Neuroscience
DOI
10.1162/netn_a_00426
Issue
1
Volume
9
Last updated
2025-04-11T09:50:02.26+01:00
Page
280-302
Abstract
Brain tumors can induce pathological changes in neuronal dynamics that are reflected in functional connectivity measures. Here,
we use a whole-brain modeling approach to investigate pathological alterations to neuronal activity in glioma patients. By fitting a
Hopf whole-brain model to empirical functional connectivity, we investigate glioma-induced changes in optimal model parameters.
We observe considerable differences in neuronal dynamics between glioma patients and healthy controls, both on an individual
and population-based level. In particular, model parameter estimation suggests that local tumor pathology causes changes in brain
dynamics by increasing the influence of interregional interactions on global neuronal activity. Our approach demonstrates that
whole-brain models provide valuable insights for understanding glioma-associated alterations in functional connectivity
we use a whole-brain modeling approach to investigate pathological alterations to neuronal activity in glioma patients. By fitting a
Hopf whole-brain model to empirical functional connectivity, we investigate glioma-induced changes in optimal model parameters.
We observe considerable differences in neuronal dynamics between glioma patients and healthy controls, both on an individual
and population-based level. In particular, model parameter estimation suggests that local tumor pathology causes changes in brain
dynamics by increasing the influence of interregional interactions on global neuronal activity. Our approach demonstrates that
whole-brain models provide valuable insights for understanding glioma-associated alterations in functional connectivity
Symplectic ID
2038646
Submitted to ORA
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Publication date
18 Nov 2024