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Measuring action potential-evoked transmission at individual synaptic contacts.
- Source :
-
Journal of neural engineering [J Neural Eng] 2012 Jun; Vol. 9 (3), pp. 036014. - Publication Year :
- 2012
-
Abstract
- In the neuronal culture experimental system, the total synaptic connection between two neurons can consist of large numbers of synaptic sites, each behaving probabilistically. Studies of synaptic function with paired recordings typically consider the summed response across all of these sites and from this infer the average response. Understanding of synaptic transmission and plasticity could be improved by examination of activity at as few synaptic sites as possible. To this end, we develop a system for recording responses from individual contacts. It relies on a precisely regulated pneumatic/hydrostatic pressure system to create a microenvironment within which individual synapses are active, and an acoustic signature method to monitor the stability of this microenvironment noninvasively. With this method we are able to record action potential-evoked postsynaptic currents consistent with individual quanta. The approach does not distort synaptic current waveforms and permits stable recording for several hours. The method is applied to address mechanisms of short-term plasticity, the variability of latency at individual synaptic sites and, in a preliminary experiment, the independence of nearby synapses on the same axon.
- Subjects :
- Action Potentials drug effects
Animals
Axons drug effects
Axons physiology
Calcium physiology
Cells, Cultured
Electrophysiology
Excitatory Amino Acid Antagonists pharmacology
Excitatory Postsynaptic Potentials physiology
Female
Hippocampus cytology
Hippocampus physiology
Neuronal Plasticity physiology
Neurons physiology
Neurons ultrastructure
Patch-Clamp Techniques
Perfusion
Pregnancy
Presynaptic Terminals physiology
Rats
Synapses drug effects
Synaptic Transmission drug effects
Action Potentials physiology
Synapses physiology
Synaptic Transmission physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1741-2552
- Volume :
- 9
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of neural engineering
- Publication Type :
- Academic Journal
- Accession number :
- 22626987
- Full Text :
- https://doi.org/10.1088/1741-2560/9/3/036014