The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations.
Exact mean-field model
Hopf bifurcation
Neuroimaging
Regional heterogeneity
Whole-brain model
Journal
Network neuroscience (Cambridge, Mass.)
ISSN: 2472-1751
Titre abrégé: Netw Neurosci
Pays: United States
ID NLM: 101719149
Informations de publication
Date de publication:
2023
2023
Historique:
received:
22
07
2022
accepted:
02
12
2022
medline:
3
7
2023
pubmed:
3
7
2023
entrez:
3
7
2023
Statut:
epublish
Résumé
Large variability exists across brain regions in health and disease, considering their cellular and molecular composition, connectivity, and function. Large-scale whole-brain models comprising coupled brain regions provide insights into the underlying dynamics that shape complex patterns of spontaneous brain activity. In particular, biophysically grounded mean-field whole-brain models in the asynchronous regime were used to demonstrate the dynamical consequences of including regional variability. Nevertheless, the role of heterogeneities when brain dynamics are supported by synchronous oscillating state, which is a ubiquitous phenomenon in brain, remains poorly understood. Here, we implemented two models capable of presenting oscillatory behavior with different levels of abstraction: a phenomenological Stuart-Landau model and an exact mean-field model. The fit of these models informed by structural- to functional-weighted MRI signal (T1w/T2w) allowed us to explore the implication of the inclusion of heterogeneities for modeling resting-state fMRI recordings from healthy participants. We found that disease-specific regional functional heterogeneity imposed dynamical consequences within the oscillatory regime in fMRI recordings from neurodegeneration with specific impacts on brain atrophy/structure (Alzheimer's patients). Overall, we found that models with oscillations perform better when structural and functional regional heterogeneities are considered, showing that phenomenological and biophysical models behave similarly at the brink of the Hopf bifurcation.
Identifiants
pubmed: 37397876
doi: 10.1162/netn_a_00299
pii: netn_a_00299
pmc: PMC10312285
doi:
Types de publication
Journal Article
Langues
eng
Pagination
632-660Informations de copyright
© 2023 Massachusetts Institute of Technology.
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