| Evaluation of quantal neurosecretion from evoked and miniature postsynaptic responses by deconvolution method. | |
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MedLine Citation:
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PMID: 10595707 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A new deconvolution algorithm has been developed for evaluation of quantal content and its variability at high-output synapses. The algorithm derives the distribution of the number of neurosecretory quanta released in a trial (M) from the measured sizes of evoked postsynaptic responses. The deconvolution employs the distribution of quantal sizes obtained by measuring sizes of miniature postsynaptic responses. The distribution of quantal content M is derived by ridge regression method from the distributions of sizes of the responses and of quantal sizes. The deconvolution method was applied to postsynaptic responses from the excitory innervation of lobster dactyl opener muscle obtained by focal extracellular recordings. The obtained solution (distribution of M) had six to eight components and was stable. The method was tested by the analysis of simulated multiquantal responses. For the simulated responses, the ridge regression solution reproduced the imposed distribution of M within the limits of the calculated confidence intervals. To further test the algorithm, the distribution of M at a low-output synapse was obtained both by deconvolution method and by the method of direct quantal counts. The results of these two methods were found to be in a very good agreement. |
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Authors:
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O N Vorobieva; J T Hackett; M K Worden; M Bykhovskaia |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Journal of neuroscience methods Volume: 92 ISSN: 0165-0270 ISO Abbreviation: J. Neurosci. Methods Publication Date: 1999 Oct |
Date Detail:
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Created Date: 2000-01-04 Completed Date: 2000-01-04 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 7905558 Medline TA: J Neurosci Methods Country: NETHERLANDS |
Other Details:
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Languages: eng Pagination: 91-9 Citation Subset: IM |
Affiliation:
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Department of Molecular Physiology and Biological Physics, University of Virginia, Health Sciences Center, Charlottesville 22906-0011, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Action Potentials
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physiology* Algorithms* Animals Excitatory Postsynaptic Potentials / physiology* Nephropidae Neuromuscular Junction / physiology* Quantum Theory Regression Analysis Synaptic Vesicles / physiology* |
| Grant Support | |
ID/Acronym/Agency:
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RR10481/RR/NCRR NIH HHS; TW00893-01/TW/FIC NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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