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Cited by 632

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Persistent Sodium Current in Mammalian Central Neurons

Crill, W E·1996·Annual Review of Physiology

Abstract

Neurons from the mammalian CNS have a noninactivating component of the tetrodotoxin-sensitive sodium current (INaP). Although its magnitude is < 1% of the transient sodium current, INaP has functional significance because it is activated about 10 mV negative to the transient sodium current, where few voltage-gated channels are activated and neuron input resistance is high. INaP adds to synaptic current, and evidence indicates that it is present in dendrites where relatively small depolarizations will activate INaP, thereby increasing effectiveness of distal depolarizing synaptic activity. The mechanism for INaP is not known. Research in striated muscle and neurons suggests a modal change in gating of conventional sodium channels, but it is also possible that INaP flows through a distinct subtype of noninactivating sodium channels. Modulation of INaP could have a significant effect on the transduction of synaptic currents by neurons.

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Crossref · 10.1146/annurev.ph.58.030196.002025

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Metadata

Authors
Crill, W. E.
Venue
Annual Review of Physiology
Published
1996-10
Volume
58
Issue
1
Pages
349-362
ISSN
  • 0066-4278 (ISSN-L)
  • 1545-1585
OpenAlex
W2148901385
Cited by
632
References
39
FWCI
8.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Persistent Sodium Current in Mammalian Central Neurons. https://app.cochat.ai/papers/10.1146/annurev.ph.58.030196.002025
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Crill, W. E. (1996). Persistent Sodium Current in Mammalian Central Neurons. Annual Review of Physiology. https://doi.org/10.1146/annurev.ph.58.030196.002025

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.