Literature DB >> 27605532

Dynamic balance of excitation and inhibition rapidly modulates spike probability and precision in feed-forward hippocampal circuits.

Sarah Wahlstrom-Helgren1, Vitaly A Klyachko2.   

Abstract

Feed-forward inhibitory (FFI) circuits are important for many information-processing functions. FFI circuit operations critically depend on the balance and timing between the excitatory and inhibitory components, which undergo rapid dynamic changes during neural activity due to short-term plasticity (STP) of both components. How dynamic changes in excitation/inhibition (E/I) balance during spike trains influence FFI circuit operations remains poorly understood. In the current study we examined the role of STP in the FFI circuit functions in the mouse hippocampus. Using a coincidence detection paradigm with simultaneous activation of two Schaffer collateral inputs, we found that the spiking probability in the target CA1 neuron was increased while spike precision concomitantly decreased during high-frequency bursts compared with a single spike. Blocking inhibitory synaptic transmission revealed that dynamics of inhibition predominately modulates the spike precision but not the changes in spiking probability, whereas the latter is modulated by the dynamics of excitation. Further analyses combining whole cell recordings and simulations of the FFI circuit suggested that dynamics of the inhibitory circuit component may influence spiking behavior during bursts by broadening the width of excitatory postsynaptic responses and that the strength of this modulation depends on the basal E/I ratio. We verified these predictions using a mouse model of fragile X syndrome, which has an elevated E/I ratio, and found a strongly reduced modulation of postsynaptic response width during bursts. Our results suggest that changes in the dynamics of excitatory and inhibitory circuit components due to STP play important yet distinct roles in modulating the properties of FFI circuits.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  feed-forward inhibition; short-term plasticity; synaptic dynamics

Mesh:

Substances:

Year:  2016        PMID: 27605532      PMCID: PMC5133295          DOI: 10.1152/jn.00413.2016

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  55 in total

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Review 2.  Synaptic computation.

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4.  Feed-forward inhibition as a buffer of the neuronal input-output relation.

Authors:  Michele Ferrante; Michele Migliore; Giorgio A Ascoli
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Journal:  Science       Date:  2014-06-06       Impact factor: 47.728

7.  GABAB receptor-mediated feed-forward circuit dysfunction in the mouse model of fragile X syndrome.

Authors:  Sarah Wahlstrom-Helgren; Vitaly A Klyachko
Journal:  J Physiol       Date:  2015-10-02       Impact factor: 5.182

8.  Imbalance of neocortical excitation and inhibition and altered UP states reflect network hyperexcitability in the mouse model of fragile X syndrome.

Authors:  Jay R Gibson; Aundrea F Bartley; Seth A Hays; Kimberly M Huber
Journal:  J Neurophysiol       Date:  2008-09-10       Impact factor: 2.714

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  4 in total

Review 1.  Channelopathies in fragile X syndrome.

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2.  Optogenetically-Induced Population Discharge Threshold as a Sensitive Measure of Network Excitability.

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4.  Hyperexcitability and Homeostasis in Fragile X Syndrome.

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Journal:  Front Mol Neurosci       Date:  2022-01-06       Impact factor: 5.639

  4 in total

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