M
Maurizzio Corbetta
Researcher at Washington University in St. Louis
Publications - 3
Citations - 1011
Maurizzio Corbetta is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Resting state fMRI & Synchronization. The author has an hindex of 3, co-authored 3 publications receiving 806 citations. Previous affiliations of Maurizzio Corbetta include University of Chieti-Pescara.
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Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations
Gustavo Deco,Adrián Ponce-Alvarez,Dante Mantini,Dante Mantini,Gian Luca Romani,Patric Hagmann,Patric Hagmann,Maurizzio Corbetta,Maurizzio Corbetta +8 more
TL;DR: A dynamic mean field model is derived that consistently summarizes the realistic dynamics of a detailed spiking and conductance-based synaptic large-scale network, in which connectivity is constrained by diffusion imaging data from human subjects, and it is demonstrated that FC emerges as structured linear fluctuations around a stable low firing activity state close to destabilization.
Journal ArticleDOI
How Local Excitation-Inhibition Ratio Impacts the Whole Brain Dynamics
Gustavo Deco,Adrián Ponce-Alvarez,Patric Hagmann,Patric Hagmann,Gian Luca Romani,Dante Mantini,Dante Mantini,Maurizzio Corbetta +7 more
TL;DR: The effect of locally regulating the feedback inhibition on the global dynamics of a large-scale brain model, in which the long-range connections are given by diffusion imaging data of human subjects, significantly improves the model's prediction of the empirical human functional connectivity.
Journal ArticleDOI
Resting-state temporal synchronization networks emerge from connectivity topology and heterogeneity.
Adrián Ponce-Alvarez,Gustavo Deco,Patric Hagmann,Gian Luca Romani,Dante Mantini,Maurizzio Corbetta +5 more
TL;DR: The model consistently approximates the temporal and spatial synchronization patterns of the empirical data, and reveals that multiple clusters that transiently synchronize and desynchronize emerge from the complex topology of anatomical connections, provided that oscillators are heterogeneous.