Literature DB >> 1320572

Quantal parameters of "minimal" excitatory postsynaptic potentials in guinea pig hippocampal slices: binomial approach.

L L Voronin1, U Kuhnt, G Hess, A G Gusev, V Roschin.   

Abstract

Binomial distributions of amplitudes of excitatory postsynaptic potentials (EPSPs) mixed with Gaussian noise were simulated. The objective of Monte Carlo simulations was, firstly, to study influences of sampling size (N) and noise standard deviation (Sn) on estimates of mean quantal content (m), quantal size (v) and binomial parameters (n and p) by four methods of quantal analysis (histogram, variance, failures and combined method) based on the binomial model and, secondly, to modify these methods on the basis of comparison of estimated with simulated parameters. Reliable estimates (within +/- 10% of the simulated values) were obtained for large sample sizes (N = 500-1000) with Sn less than or equal to v by the histogram (deconvolution) method and with Sn less than or equal to 2v by the other three methods. Similar results were obtained by averages from about 10 simulations if smaller samples were used (N = 50-200). In electrophysiological experiments on slices, "minimal" EPSPs were recorded from CA1 pyramidal cells after low-intensity stimuli to stratum radiatum or stratum oriens. Amplitudes of minimal EPSPs fluctuated in a manner predicted by the quantum hypothesis. Amplitude distributions of EPSPs in the non-facilitated state were adequately described either by binomial statistics with an average p equal to about 0.4 (a range of 0.3-0.7) and an average n of about 3 (range 2-6) or by Poisson statistics with m of about 1. The quantal analysis suggests that typical values of m and v for a single activated fibre in stratum radiatum might be about 0.5-1 and 300-400 microV, respectively, with low p (0.1-0.3) and n (2-4). However, the estimates of binomial parameters should be considered as coarse approximations in view of the simulation results and a possible nonuniformity of parameter p. The comparison of results of various methods based on the binomial model, in both simulation and physiological experiments, indicates the reliability of estimates of basic quantal parameters (m and v) under realistic conditions of physiological experiments. The methods are considered to be sufficiently sensitive to make use of them for studies on mechanisms of long-term synaptic plasticity.

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Year:  1992        PMID: 1320572     DOI: 10.1007/bf00228242

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  72 in total

1.  Statistical analysis of long-term potentiation of large excitatory postsynaptic potentials recorded in guinea pig hippocampal slices: binomial model.

Authors:  U Kuhnt; G Hess; L L Voronin
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

2.  Presynaptic mechanism for long-term potentiation in the hippocampus.

Authors:  J M Bekkers; C F Stevens
Journal:  Nature       Date:  1990-08-23       Impact factor: 49.962

3.  Applications of the expectation-maximization algorithm to quantal analysis of postsynaptic potentials.

Authors:  D M Kullmann
Journal:  J Neurosci Methods       Date:  1989-12       Impact factor: 2.390

4.  Long-term potentiation in the hippocampus.

Authors:  L L Voronin
Journal:  Neuroscience       Date:  1983-12       Impact factor: 3.590

5.  Transmission at a central inhibitory synapse. II. Quantal description of release, with a physical correlate for binomial n.

Authors:  H Korn; A Mallet; A Triller; D S Faber
Journal:  J Neurophysiol       Date:  1982-09       Impact factor: 2.714

Review 6.  Release of transmitter at the neuromuscular junction.

Authors:  F G Standaert
Journal:  Br J Anaesth       Date:  1982-02       Impact factor: 9.166

7.  Increased retention of calcium in the dendrites of long-term potentiated CA1 neurons of the hippocampal slice. A combined electrophysiological and electron histochemical study.

Authors:  U Kuhnt; A Mihály; L Siklós; F Joó
Journal:  Histochemistry       Date:  1988

8.  A statistical model supports the subunit hypothesis of quantal relsease.

Authors:  D R Matteson; M E Kreibel; F Llados
Journal:  Neurosci Lett       Date:  1979-12       Impact factor: 3.046

9.  The effects of repetitive low frequency stimulation on control and "potentiated" synaptic responses in the hippocampus.

Authors:  G Barrionuevo; F Schottler; G Lynch
Journal:  Life Sci       Date:  1980-12-15       Impact factor: 5.037

10.  Transmission at a central inhibitory synapse. IV. Quantal structure of synaptic noise.

Authors:  H Korn; D S Faber
Journal:  J Neurophysiol       Date:  1990-01       Impact factor: 2.714

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  11 in total

1.  Intracellular studies of the interaction between paired-pulse facilitation and the delayed phase of long-term potentiation in the hippocampus.

Authors:  L L Voronin; A V Rossokhin; M V Sokolov
Journal:  Neurosci Behav Physiol       Date:  1999 May-Jun

Review 2.  Intrasynaptic ephaptic feedback in central synapses.

Authors:  L L Voronin
Journal:  Neurosci Behav Physiol       Date:  2000 Sep-Oct

3.  Statistical analysis of long-term potentiation of large excitatory postsynaptic potentials recorded in guinea pig hippocampal slices: binomial model.

Authors:  U Kuhnt; G Hess; L L Voronin
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

4.  Quantal analysis of excitatory synapses in rat hippocampal CA1 in vitro during low-frequency depression.

Authors:  A U Larkman; J J Jack; K J Stratford
Journal:  J Physiol       Date:  1997-12-01       Impact factor: 5.182

5.  Calibration of an autocorrelation-based method for determining amplitude histogram reliability and quantal size.

Authors:  K J Stratford; J J Jack; A U Larkman
Journal:  J Physiol       Date:  1997-12-01       Impact factor: 5.182

6.  The effects of synaptic noise on measurements of evoked excitatory postsynaptic response amplitudes.

Authors:  L M Wahl; J J Jack; A U Larkman; K J Stratford
Journal:  Biophys J       Date:  1997-07       Impact factor: 4.033

7.  Practical guidance for testing the accuracy of deconvolution results from quantal analysis.

Authors:  C Lüscher; H P Clamann; H R Lüscher
Journal:  Pflugers Arch       Date:  1994-10       Impact factor: 3.657

8.  Quantal analysis of long-term potentiation of "minimal" excitatory postsynaptic potentials in guinea pig hippocampal slices: binomial approach.

Authors:  L L Voronin; U Kuhnt; A G Gusev; G Hess
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

9.  Analysis of fluctuations of "minimal" excitatory postsynaptic potentials during long-term potentiation in guinea pig hippocampal slices.

Authors:  L L Voronin; U Kuhnt; A G Gusev
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

10.  Plasticity between neuronal pairs in layer 4 of visual cortex varies with synapse state.

Authors:  Ignacio Sáez; Michael J Friedlander
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

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