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Cited by 431

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Effect of barbiturates on ‘quantal’ synaptic transmission in spinal motoneurones

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Weakly, J. N.·1969·The Journal of Physiology

Abstract

1. Monosynaptic excitatory post‐synaptic potentials (EPSPs) produced in triceps surae motoneurones of the cat by stimulation of single afferent fibres in the muscle nerve were recorded with intracellular electrodes before and after the administration of thiopentone or pentobarbitone. 2. The average amplitude of the ‘unit’ EPSP was 0·11–0·21 mV and remained unchanged after the administration of the barbiturates (10 mg/kg, I.V.). 3. Mean quantum content (m) ranged from 1·9 to more than 5 before drug administration. The m was reduced by thiopentone (10 mg/kg, I.V.) and pentobarbitone (10 mg/kg, I.V.) by 23·1 and 24·7% respectively. 4. The barbiturates, in the doses employed, produced no alterations in the input resistance of the motoneurone membrane or in the strength—duration relation obtained by passing depolarizing current pulses through the micro‐electrode. 5. It is concluded that the action of thiopentone and pentobarbitone, in the doses used, is confined to the presynaptic nerve terminals and results in a reduction in the amount of transmitter released by afferent impulses.

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Crossref · 10.1113/jphysiol.1969.sp008898

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Metadata

Authors
Weakly, J. N.
Venue
The Journal of Physiology
Publisher
Wiley
Published
1969-09
Volume
204
Issue
1
Pages
63-77
ISSN
  • 0022-3751 (ISSN-L)
  • 1469-7793
OpenAlex
W2011198767
Cited by
431
References
1
FWCI
3.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Effect of barbiturates on ‘quantal’ synaptic transmission in spinal motoneurones. https://app.cochat.ai/papers/10.1113/jphysiol.1969.sp008898
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Weakly, J. N. (1969). Effect of barbiturates on ‘quantal’ synaptic transmission in spinal motoneurones. The Journal of Physiology. https://doi.org/10.1113/jphysiol.1969.sp008898

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.