Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 571

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Tonic inhibition in mouse hippocampal CA1 pyramidal neurons is mediated by α5 subunit-containing γ-aminobutyric acid type A receptors

Open access
Caraiscos, Valerie B., Elliott, Erin M., You-Ten, Kong E., Cheng, Victor Y., Belelli, Delia, Newell, J. Glen, Jackson, Michael F., Lambert, Jeremy J., Rosahl, Thomas W., Wafford, Keith A., MacDonald, John F., Orser, Beverley A.·2004·Proceedings of the National Academy of Sciences

Abstract

The principal inhibitory neurotransmitter in the mammalian brain, γ-aminobutyric acid (GABA), is thought to regulate memory processes by activating transient inhibitory postsynaptic currents. Here we describe a nonsynaptic, tonic form of inhibition in mouse CA1 pyramidal neurons that is generated by a distinct subpopulation of GABA type A receptors (GABA A Rs). This tonic inhibitory conductance is predominantly mediated by α5 subunit-containing GABA A Rs (α5GABA A Rs) that have different pharmacological and kinetic properties compared to postsynaptic receptors. GABA A Rs that mediate the tonic conductance are well suited to detect low, persistent, ambient concentrations of GABA in the extracellular space because they are highly sensitive to GABA and desensitize slowly. Moreover, the tonic current is highly sensitive to enhancement by amnestic drugs. Given the restricted expression of α5GABA A Rs to the hippocampus and the association between reduced α5GABA A R function and improved memory performance in behavioral studies, our results suggest that tonic inhibition mediated by α5GABA A Rs in hippocampal pyramidal neurons plays a key role in cognitive processes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.0307231101

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 571

Metadata

Authors
Caraiscos, V. B., Elliott, E. M., You-Ten, K. E., Cheng, V. Y., Belelli, D., Newell, J. G., Jackson, M. F., Lambert, J. J., Rosahl, T. W., Wafford, K. A., MacDonald, J. F., & Orser, B. A.
Venue
Proceedings of the National Academy of Sciences
Published
2004-03
Volume
101
Issue
10
Pages
3662-3667
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2138788537
Cited by
571
References
2
FWCI
13.66
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

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.