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Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity

The synaptic organization of the brain is constantly modified by activity-dependent synaptic plasticity. In several neurological disorders, abnormal neuronal activity and pathological synaptic connectivity may significantly impair normal brain function. Reorganization of neuronal circuits by therape...

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Autores principales: Madadi Asl, Mojtaba, Valizadeh, Alireza, Tass, Peter A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891531/
https://www.ncbi.nlm.nih.gov/pubmed/36724144
http://dx.doi.org/10.1371/journal.pcbi.1010853
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author Madadi Asl, Mojtaba
Valizadeh, Alireza
Tass, Peter A.
author_facet Madadi Asl, Mojtaba
Valizadeh, Alireza
Tass, Peter A.
author_sort Madadi Asl, Mojtaba
collection PubMed
description The synaptic organization of the brain is constantly modified by activity-dependent synaptic plasticity. In several neurological disorders, abnormal neuronal activity and pathological synaptic connectivity may significantly impair normal brain function. Reorganization of neuronal circuits by therapeutic stimulation has the potential to restore normal brain dynamics. Increasing evidence suggests that the temporal stimulation pattern crucially determines the long-lasting therapeutic effects of stimulation. Here, we tested whether a specific pattern of brain stimulation can enable the suppression of pathologically strong inter-population synaptic connectivity through spike-timing-dependent plasticity (STDP). More specifically, we tested how introducing a time shift between stimuli delivered to two interacting populations of neurons can effectively decouple them. To that end, we first used a tractable model, i.e., two bidirectionally coupled leaky integrate-and-fire (LIF) neurons, to theoretically analyze the optimal range of stimulation frequency and time shift for decoupling. We then extended our results to two reciprocally connected neuronal populations (modules) where inter-population delayed connections were modified by STDP. As predicted by the theoretical results, appropriately time-shifted stimulation causes a decoupling of the two-module system through STDP, i.e., by unlearning pathologically strong synaptic interactions between the two populations. Based on the overall topology of the connections, the decoupling of the two modules, in turn, causes a desynchronization of the populations that outlasts the cessation of stimulation. Decoupling effects of the time-shifted stimulation can be realized by time-shifted burst stimulation as well as time-shifted continuous simulation. Our results provide insight into the further optimization of a variety of multichannel stimulation protocols aiming at a therapeutic reshaping of diseased brain networks.
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spelling pubmed-98915312023-02-02 Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity Madadi Asl, Mojtaba Valizadeh, Alireza Tass, Peter A. PLoS Comput Biol Research Article The synaptic organization of the brain is constantly modified by activity-dependent synaptic plasticity. In several neurological disorders, abnormal neuronal activity and pathological synaptic connectivity may significantly impair normal brain function. Reorganization of neuronal circuits by therapeutic stimulation has the potential to restore normal brain dynamics. Increasing evidence suggests that the temporal stimulation pattern crucially determines the long-lasting therapeutic effects of stimulation. Here, we tested whether a specific pattern of brain stimulation can enable the suppression of pathologically strong inter-population synaptic connectivity through spike-timing-dependent plasticity (STDP). More specifically, we tested how introducing a time shift between stimuli delivered to two interacting populations of neurons can effectively decouple them. To that end, we first used a tractable model, i.e., two bidirectionally coupled leaky integrate-and-fire (LIF) neurons, to theoretically analyze the optimal range of stimulation frequency and time shift for decoupling. We then extended our results to two reciprocally connected neuronal populations (modules) where inter-population delayed connections were modified by STDP. As predicted by the theoretical results, appropriately time-shifted stimulation causes a decoupling of the two-module system through STDP, i.e., by unlearning pathologically strong synaptic interactions between the two populations. Based on the overall topology of the connections, the decoupling of the two modules, in turn, causes a desynchronization of the populations that outlasts the cessation of stimulation. Decoupling effects of the time-shifted stimulation can be realized by time-shifted burst stimulation as well as time-shifted continuous simulation. Our results provide insight into the further optimization of a variety of multichannel stimulation protocols aiming at a therapeutic reshaping of diseased brain networks. Public Library of Science 2023-02-01 /pmc/articles/PMC9891531/ /pubmed/36724144 http://dx.doi.org/10.1371/journal.pcbi.1010853 Text en © 2023 Madadi Asl et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Madadi Asl, Mojtaba
Valizadeh, Alireza
Tass, Peter A.
Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity
title Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity
title_full Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity
title_fullStr Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity
title_full_unstemmed Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity
title_short Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity
title_sort decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891531/
https://www.ncbi.nlm.nih.gov/pubmed/36724144
http://dx.doi.org/10.1371/journal.pcbi.1010853
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