Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 611

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Dynamic Signaling Between Astrocytes and Neurons

Araque, Alfonso, Carmignoto, Giorgio, Haydon, Philip G·2001·Annual Review of Physiology

Abstract

▪ Abstract Astrocytes, a sub-type of glia in the central nervous system, are dynamic signaling elements that integrate neuronal inputs, exhibit calcium excitability, and can modulate neighboring neurons. Neuronal activity can lead to neurotransmitter-evoked activation of astrocytic receptors, which mobilizes their internal calcium. Elevations in astrocytic calcium in turn trigger the release of chemical transmitters from astrocytes, which can cause sustained modulatory actions on neighboring neurons. Astrocytes, and perisynaptic Schwann cells, by virtue of their intimate association with synapses, are strategically positioned to regulate synaptic transmission. This capability, that has now been demonstrated in several studies, raises the untested possibility that astrocytes are an integral element of the circuitry for synaptic plasticity. Because the highest ratio of glia-to-neurons is found at the top of the phylogenetic tree in the human brain, these recent demonstrations of dynamic bi-directional signaling between astrocytes and neurons leave us with the question as to whether astrocytes are key regulatory elements of higher cortical functions.

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 · 10.1146/annurev.physiol.63.1.795

Cites

4 of 4 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

Show all 4 references

Cited by

See all 611

Metadata

Authors
Araque, A., Carmignoto, G., & Haydon, P. G.
Venue
Annual Review of Physiology
Published
2001-03
Volume
63
Issue
1
Pages
795-813
ISSN
  • 0066-4278 (ISSN-L)
  • 1545-1585
OpenAlex
W2115810166
Cited by
611
References
4
FWCI
2.22
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Dynamic Signaling Between Astrocytes and Neurons. https://app.cochat.ai/papers/10.1146/annurev.physiol.63.1.795
The paper
Araque, A., Carmignoto, G., & Haydon, P. G. (2001). Dynamic Signaling Between Astrocytes and Neurons. Annual Review of Physiology. https://doi.org/10.1146/annurev.physiol.63.1.795

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.