Transmission delays and frequency detuning can regulate information flow between brain regions.

Brain networks exhibit very variable and dynamical functional connectivity and flexible configurations of information exchange despite their overall fixed structure. Brain oscillations are hypothesized to underlie time-dependent functional connectivity by periodically changing the excitability of ne...

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Main Authors: Aref Pariz, Ingo Fischer, Alireza Valizadeh, Claudio Mirasso
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-04-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1008129
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author Aref Pariz
Ingo Fischer
Alireza Valizadeh
Claudio Mirasso
author_facet Aref Pariz
Ingo Fischer
Alireza Valizadeh
Claudio Mirasso
author_sort Aref Pariz
collection DOAJ
description Brain networks exhibit very variable and dynamical functional connectivity and flexible configurations of information exchange despite their overall fixed structure. Brain oscillations are hypothesized to underlie time-dependent functional connectivity by periodically changing the excitability of neural populations. In this paper, we investigate the role of the connection delay and the detuning between the natural frequencies of neural populations in the transmission of signals. Based on numerical simulations and analytical arguments, we show that the amount of information transfer between two oscillating neural populations could be determined by their connection delay and the mismatch in their oscillation frequencies. Our results highlight the role of the collective phase response curve of the oscillating neural populations for the efficacy of signal transmission and the quality of the information transfer in brain networks.
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spelling doaj.art-bb532cde29a9459a999f179587fbf5e92022-12-21T19:21:55ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-04-01174e100812910.1371/journal.pcbi.1008129Transmission delays and frequency detuning can regulate information flow between brain regions.Aref ParizIngo FischerAlireza ValizadehClaudio MirassoBrain networks exhibit very variable and dynamical functional connectivity and flexible configurations of information exchange despite their overall fixed structure. Brain oscillations are hypothesized to underlie time-dependent functional connectivity by periodically changing the excitability of neural populations. In this paper, we investigate the role of the connection delay and the detuning between the natural frequencies of neural populations in the transmission of signals. Based on numerical simulations and analytical arguments, we show that the amount of information transfer between two oscillating neural populations could be determined by their connection delay and the mismatch in their oscillation frequencies. Our results highlight the role of the collective phase response curve of the oscillating neural populations for the efficacy of signal transmission and the quality of the information transfer in brain networks.https://doi.org/10.1371/journal.pcbi.1008129
spellingShingle Aref Pariz
Ingo Fischer
Alireza Valizadeh
Claudio Mirasso
Transmission delays and frequency detuning can regulate information flow between brain regions.
PLoS Computational Biology
title Transmission delays and frequency detuning can regulate information flow between brain regions.
title_full Transmission delays and frequency detuning can regulate information flow between brain regions.
title_fullStr Transmission delays and frequency detuning can regulate information flow between brain regions.
title_full_unstemmed Transmission delays and frequency detuning can regulate information flow between brain regions.
title_short Transmission delays and frequency detuning can regulate information flow between brain regions.
title_sort transmission delays and frequency detuning can regulate information flow between brain regions
url https://doi.org/10.1371/journal.pcbi.1008129
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AT claudiomirasso transmissiondelaysandfrequencydetuningcanregulateinformationflowbetweenbrainregions