DocumentCode :
1340109
Title :
Analysis of synaptic quantal depolarizations in smooth muscle using the wavelet transform
Author :
Vaidya, Priya ; Venkateswarlu, K. ; Desai, Uday B. ; Manchanda, Rohit
Author_Institution :
Sch. of Biomed. Eng., Indian Inst. of Technol., Bombay, India
Volume :
47
Issue :
6
fYear :
2000
fDate :
6/1/2000 12:00:00 AM
Firstpage :
701
Lastpage :
708
Abstract :
The time-frequency characteristics of synaptic potentials contain valuable information about the process of neurotransmission between nerves and their target organs. For example, at the synapse between autonomic nerves and smooth muscle, two central issues of neurophysiology, i.e., (1) the probability of neurotransmitter release and (2) the quantal behavior of transmission can be deduced from analysis of the rising phases of evoked excitatory junction potentials (eEJP´s) recorded from smooth muscle. eEJP rising phases are marked by prominent inflexions, which reflect these features of neuronal activity, Since these inflexions contain time-varying frequency information, the authors have applied recent techniques of time-frequency analysis based upon wavelet transforms to eEJP´s recorded from the guinea-pig vas deferens in vitro. They find that these techniques allow accurate and convenient characterization of neuronal release sites, and that their probability of release falls between 0.001-0.004. They have also analyzed eEJP´s recorded in the presence of the chemical 1-heptanol, which reveals quantal depolarizations. These results have helped clarify the nature of the quantal depolarizations that underly eEJP´s. The present method offers significant advantages over those previously employed for these tasks, and holds promise as a novel approach to the analysis of synaptic potentials.
Keywords :
bioelectric potentials; electromyography; medical signal processing; neurophysiology; time-frequency analysis; wavelet transforms; autonomic nerves; evoked excitatory junction potentials; guinea-pig vas deferens; neuronal release sites; neurotransmission; prominent inflexions; quantal behavior; smooth muscle; synaptic potentials analysis; synaptic quantal depolarizations analysis; Biomedical engineering; Biomembranes; Cells (biology); Chemical analysis; Muscles; Neurons; Neurotransmitters; Time frequency analysis; Wavelet analysis; Wavelet transforms; Animals; Gap Junctions; Guinea Pigs; Heptanol; Male; Membrane Potentials; Muscle, Smooth; Neurophysiology; Quantum Theory; Reproducibility of Results; Signal Processing, Computer-Assisted; Synaptic Transmission; Time Factors; Vas Deferens;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.844215
Filename :
844215
Link To Document :
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