Literature DB >> 31300522

Distinct Heterosynaptic Plasticity in Fast Spiking and Non-Fast-Spiking Inhibitory Neurons in Rat Visual Cortex.

Marina Chistiakova1, Vladimir Ilin1, Matvey Roshchin2, Nicholas Bannon1, Alexey Malyshev2, Zoltán Kisvárday3, Maxim Volgushev4,2.   

Abstract

Inhibition in neuronal networks of the neocortex serves a multitude of functions, such as balancing excitation and structuring neuronal activity in space and time. Plasticity of inhibition is mediated by changes at both inhibitory synapses, as well as excitatory synapses on inhibitory neurons. Using slices from visual cortex of young male rats, we describe a novel form of plasticity of excitatory synapses on inhibitory neurons, weight-dependent heterosynaptic plasticity. Recordings from connected pyramid-to-interneuron pairs confirm that postsynaptic activity alone can induce long-term changes at synapses that were not presynaptically active during the induction, i.e., heterosynaptic plasticity. Moreover, heterosynaptic changes can accompany homosynaptic plasticity induced in inhibitory neurons by conventional spike-timing-dependent plasticity protocols. In both fast-spiking (FS) and non-FS neurons, heterosynaptic changes were weight-dependent, because they correlated with initial paired-pulse ratio (PPR), indicative of initial strength of a synapse. Synapses with initially high PPR, indicative of low release probability ("weak" synapses), had the tendency to be potentiated, while synapses with low initial PPR ("strong" synapses) tended to depress or did not change. Interestingly, the net outcome of heterosynaptic changes was different in FS and non-FS neurons. FS neurons expressed balanced changes, with gross average (n = 142) not different from control. Non-FS neurons (n = 66) exhibited net potentiation. This difference could be because of higher initial PPR in the non-FS neurons. We propose that weight-dependent heterosynaptic plasticity may counteract runaway dynamics of excitatory inputs imposed by Hebbian-type learning rules and contribute to fine-tuning of distinct aspects of inhibitory function mediated by FS and non-FS neurons in neocortical networks.SIGNIFICANCE STATEMENT Dynamic balance of excitation and inhibition is fundamental for operation of neuronal networks. Fine-tuning of such balance requires synaptic plasticity. Knowledge about diverse forms of plasticity operating in excitatory and inhibitory neurons is necessary for understanding normal function and causes of dysfunction of the nervous system. Here we show that excitatory inputs to major archetypal classes of neocortical inhibitory neurons, fast-spiking (FS) and non-fast-spiking (non-FS), express a novel type of plasticity, weight-dependent heterosynaptic plasticity, which accompanies the induction of Hebbian-type changes. This novel form of plasticity may counteract runaway dynamics at excitatory synapses to inhibitory neurons imposed by Hebbian-type learning rules and contribute to fine-tuning of diverse aspects of inhibitory function mediated by FS and non-FS neurons in neocortical networks.
Copyright © 2019 the authors.

Entities:  

Keywords:  excitatory synapses; heterosynaptic plasticity; inhibitory neurons; plasticity; visual cortex

Mesh:

Year:  2019        PMID: 31300522      PMCID: PMC6733570          DOI: 10.1523/JNEUROSCI.3039-18.2019

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  73 in total

1.  Release probability modulates short-term plasticity at a rat giant terminal.

Authors:  S Oleskevich; J Clements; B Walmsley
Journal:  J Physiol       Date:  2000-04-15       Impact factor: 5.182

2.  Orientation and direction selectivity of synaptic inputs in visual cortical neurons: a diversity of combinations produces spike tuning.

Authors:  Cyril Monier; Frédéric Chavane; Pierre Baudot; Lyle J Graham; Yves Frégnac
Journal:  Neuron       Date:  2003-02-20       Impact factor: 17.173

3.  Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex.

Authors:  Michael Wehr; Anthony M Zador
Journal:  Nature       Date:  2003-11-27       Impact factor: 49.962

4.  Dependence of calcium influx in neocortical cells on temporal structure of depolarization, number of spikes, and blockade of NMDA receptors.

Authors:  Pavel Balaban; Marina Chistiakova; Aleksey Malyshev; Maxim Volgushev
Journal:  J Neurosci Res       Date:  2004-05-15       Impact factor: 4.164

Review 5.  Interneurons of the neocortical inhibitory system.

Authors:  Henry Markram; Maria Toledo-Rodriguez; Yun Wang; Anirudh Gupta; Gilad Silberberg; Caizhi Wu
Journal:  Nat Rev Neurosci       Date:  2004-10       Impact factor: 34.870

6.  Heterogeneity of synaptic plasticity at unitary CA3-CA1 and CA3-CA3 connections in rat hippocampal slice cultures.

Authors:  D Debanne; B H Gähwiler; S M Thompson
Journal:  J Neurosci       Date:  1999-12-15       Impact factor: 6.167

Review 7.  Synaptic pathways in neural microcircuits.

Authors:  Gilad Silberberg; Sten Grillner; Fiona E N LeBeau; Reinoud Maex; Henry Markram
Journal:  Trends Neurosci       Date:  2005-10       Impact factor: 13.837

8.  Hebbian LTP in feed-forward inhibitory interneurons and the temporal fidelity of input discrimination.

Authors:  Karri Lamsa; Joost H Heeroma; Dimitri M Kullmann
Journal:  Nat Neurosci       Date:  2005-07       Impact factor: 24.884

9.  Retrograde signalling with nitric oxide at neocortical synapses.

Authors:  M Volgushev; P Balaban; M Chistiakova; U T Eysel
Journal:  Eur J Neurosci       Date:  2000-12       Impact factor: 3.386

10.  Selective reconfiguration of layer 4 visual cortical circuitry by visual deprivation.

Authors:  Arianna Maffei; Sacha B Nelson; Gina G Turrigiano
Journal:  Nat Neurosci       Date:  2004-11-14       Impact factor: 24.884

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  7 in total

1.  Heterosynaptic Plasticity in Cortical Interneurons.

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Journal:  J Neurosci       Date:  2020-02-26       Impact factor: 6.167

2.  Mechanism of Pacemaker Activity in Zebrafish DC2/4 Dopaminergic Neurons.

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Review 3.  Brain is modulated by neuronal plasticity during postnatal development.

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4.  Enhanced Non-Associative Long-Term Potentiation in Immature Granule Cells in the Dentate Gyrus of Adult Rats.

Authors:  Natalia A Simonova; Maxim A Volgushev; Alexey Y Malyshev
Journal:  Front Synaptic Neurosci       Date:  2022-05-30

5.  Structural and Functional Synaptic Plasticity Induced by Convergent Synapse Loss in the Drosophila Neuromuscular Circuit.

Authors:  Yupu Wang; Meike Lobb-Rabe; James Ashley; Veera Anand; Robert A Carrillo
Journal:  J Neurosci       Date:  2021-01-05       Impact factor: 6.709

6.  The CSF-Contacting Nucleus Receives Anatomical Inputs From the Cerebral Cortex: A Combination of Retrograde Tracing and 3D Reconstruction Study in Rat.

Authors:  Si-Yuan Song; Xiao-Meng Zhai; Jia-Hao Dai; Lei-Lei Lu; Cheng-Jing Shan; Jia Hong; Jun-Li Cao; Li-Cai Zhang
Journal:  Front Neuroanat       Date:  2020-11-20       Impact factor: 3.856

Review 7.  Heterosynaptic Plasticity and the Experience-Dependent Refinement of Developing Neuronal Circuits.

Authors:  Kyle R Jenks; Katya Tsimring; Jacque Pak Kan Ip; Jose C Zepeda; Mriganka Sur
Journal:  Front Neural Circuits       Date:  2021-12-07       Impact factor: 3.492

  7 in total

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