guest ::
| Home > Publications database > Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes |
| Home > Publications database > Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes |
| Journal Article | FZJ-2023-05834 |
; ; ; ; ;
2023
Frontiers Research Foundation
Lausanne
This record in other databases: 
Please use a persistent id in citations: doi:10.3389/fncom.2023.1295395 doi:10.34734/FZJ-2023-05834
Abstract: The human brain, composed of billions of neurons and synaptic connections, is an intricate network coordinating a sophisticated balance of excitatory and inhibitory activities between brain regions. The dynamical balance between excitation and inhibition is vital for adjusting neural input/output relationships in cortical networks and regulating the dynamic range of their responses to stimuli. To infer this balance using connectomics, we recently introduced a computational framework based on the Ising model, which was first developed to explain phase transitions in ferromagnets, and proposed a novel hybrid resting-state structural connectome (rsSC). Here, we show that a generative model based on the Kuramoto phase oscillator can be used to simulate static and dynamic functional connectomes (FC) with rsSC as the coupling weight coefficients, such that the simulated FC aligns well with the observed FC when compared with that simulated traditional structural connectome.
; 
; 
; 
; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
|
The record appears in these collections: |
PDF