In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 19, No. 2 ( 2023-2-1), p. e1010853-
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1010853
DOI:
10.1371/journal.pcbi.1010853.g001
DOI:
10.1371/journal.pcbi.1010853.g002
DOI:
10.1371/journal.pcbi.1010853.g003
DOI:
10.1371/journal.pcbi.1010853.g004
DOI:
10.1371/journal.pcbi.1010853.g005
DOI:
10.1371/journal.pcbi.1010853.g006
DOI:
10.1371/journal.pcbi.1010853.g007
DOI:
10.1371/journal.pcbi.1010853.g008
DOI:
10.1371/journal.pcbi.1010853.g009
DOI:
10.1371/journal.pcbi.1010853.t001
DOI:
10.1371/journal.pcbi.1010853.t002
DOI:
10.1371/journal.pcbi.1010853.t003
DOI:
10.1371/journal.pcbi.1010853.s001
DOI:
10.1371/journal.pcbi.1010853.s002
DOI:
10.1371/journal.pcbi.1010853.s003
DOI:
10.1371/journal.pcbi.1010853.s004
DOI:
10.1371/journal.pcbi.1010853.s005
DOI:
10.1371/journal.pcbi.1010853.s006
DOI:
10.1371/journal.pcbi.1010853.r001
DOI:
10.1371/journal.pcbi.1010853.r002
DOI:
10.1371/journal.pcbi.1010853.r003
DOI:
10.1371/journal.pcbi.1010853.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2023
detail.hit.zdb_id:
2193340-6
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