Synaptic Failure Differentially Affects Pattern Formation in Heterogenous Networks

The communication of neurons is primarily maintained by synapses, which play a crucial role in the functioning of the nervous system. Therefore, synaptic failure may critically impair information processing in the brain and may underlie many neurodegenerative diseases. A number of studies have sugge...

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Main Authors: Maral Budak, Michal Zochowski
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Neural Circuits
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fncir.2019.00031/full
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author Maral Budak
Michal Zochowski
Michal Zochowski
author_facet Maral Budak
Michal Zochowski
Michal Zochowski
author_sort Maral Budak
collection DOAJ
description The communication of neurons is primarily maintained by synapses, which play a crucial role in the functioning of the nervous system. Therefore, synaptic failure may critically impair information processing in the brain and may underlie many neurodegenerative diseases. A number of studies have suggested that synaptic failure may preferentially target neurons with high connectivity (i.e., network hubs). As a result, the activity of these highly connected neurons can be significantly affected. It has been speculated that anesthetics regulate conscious state by affecting synaptic transmission at these network hubs and subsequently reducing overall coherence in the network activity. In addition, hubs in cortical networks are shown to be more vulnerable to amyloid deposition because of their higher activity within the network, causing decrease in coherence patterns and eventually Alzheimer’s disease (AD). Here, we investigate how synaptic failure can affect spatio-temporal dynamics of scale free networks, having a power law scaling of number of connections per neuron – a relatively few neurons (hubs) with a lot of emanating or incoming connections and many cells with low connectivity. We studied two types of synaptic failure: activity-independent and targeted, activity-dependent synaptic failure. We defined scale-free network structures based on the dominating direction of the connections at the hub neurons: incoming and outgoing. We found that the two structures have significantly different dynamical properties. We show that synaptic failure may not only lead to the loss of coherence but unintuitively also can facilitate its emergence. We show that this is because activity-dependent synaptic failure homogenizes the activity levels in the network creating a dynamical substrate for the observed coherence increase. Obtained results may lead to better understanding of changes in large-scale pattern formation during progression of neuro-degenerative diseases targeting synaptic transmission.
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spelling doaj.art-7613e0a172854ba4a311d76b1179fbf62022-12-22T02:46:34ZengFrontiers Media S.A.Frontiers in Neural Circuits1662-51102019-05-011310.3389/fncir.2019.00031419220Synaptic Failure Differentially Affects Pattern Formation in Heterogenous NetworksMaral Budak0Michal Zochowski1Michal Zochowski2Biophysics Program, University of Michigan, Ann Arbor, MI, United StatesBiophysics Program, University of Michigan, Ann Arbor, MI, United StatesDepartment of Physics, University of Michigan, Ann Arbor, MI, United StatesThe communication of neurons is primarily maintained by synapses, which play a crucial role in the functioning of the nervous system. Therefore, synaptic failure may critically impair information processing in the brain and may underlie many neurodegenerative diseases. A number of studies have suggested that synaptic failure may preferentially target neurons with high connectivity (i.e., network hubs). As a result, the activity of these highly connected neurons can be significantly affected. It has been speculated that anesthetics regulate conscious state by affecting synaptic transmission at these network hubs and subsequently reducing overall coherence in the network activity. In addition, hubs in cortical networks are shown to be more vulnerable to amyloid deposition because of their higher activity within the network, causing decrease in coherence patterns and eventually Alzheimer’s disease (AD). Here, we investigate how synaptic failure can affect spatio-temporal dynamics of scale free networks, having a power law scaling of number of connections per neuron – a relatively few neurons (hubs) with a lot of emanating or incoming connections and many cells with low connectivity. We studied two types of synaptic failure: activity-independent and targeted, activity-dependent synaptic failure. We defined scale-free network structures based on the dominating direction of the connections at the hub neurons: incoming and outgoing. We found that the two structures have significantly different dynamical properties. We show that synaptic failure may not only lead to the loss of coherence but unintuitively also can facilitate its emergence. We show that this is because activity-dependent synaptic failure homogenizes the activity levels in the network creating a dynamical substrate for the observed coherence increase. Obtained results may lead to better understanding of changes in large-scale pattern formation during progression of neuro-degenerative diseases targeting synaptic transmission.https://www.frontiersin.org/article/10.3389/fncir.2019.00031/fullsynaptic transmission failurenetwork dynamicsnetwork synchronyspatio-temporal pattern formationscale-free networks
spellingShingle Maral Budak
Michal Zochowski
Michal Zochowski
Synaptic Failure Differentially Affects Pattern Formation in Heterogenous Networks
Frontiers in Neural Circuits
synaptic transmission failure
network dynamics
network synchrony
spatio-temporal pattern formation
scale-free networks
title Synaptic Failure Differentially Affects Pattern Formation in Heterogenous Networks
title_full Synaptic Failure Differentially Affects Pattern Formation in Heterogenous Networks
title_fullStr Synaptic Failure Differentially Affects Pattern Formation in Heterogenous Networks
title_full_unstemmed Synaptic Failure Differentially Affects Pattern Formation in Heterogenous Networks
title_short Synaptic Failure Differentially Affects Pattern Formation in Heterogenous Networks
title_sort synaptic failure differentially affects pattern formation in heterogenous networks
topic synaptic transmission failure
network dynamics
network synchrony
spatio-temporal pattern formation
scale-free networks
url https://www.frontiersin.org/article/10.3389/fncir.2019.00031/full
work_keys_str_mv AT maralbudak synapticfailuredifferentiallyaffectspatternformationinheterogenousnetworks
AT michalzochowski synapticfailuredifferentiallyaffectspatternformationinheterogenousnetworks
AT michalzochowski synapticfailuredifferentiallyaffectspatternformationinheterogenousnetworks