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Cited by 629

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Tuned Responses of Astrocytes and Their Influence on Hemodynamic Signals in the Visual Cortex

Schummers, James, Yu, Hongbo, Sur, Mriganka·2008·Science

Abstract

Astrocytes have long been thought to act as a support network for neurons, with little role in information representation or processing. We used two-photon imaging of calcium signals in the ferret visual cortex in vivo to discover that astrocytes, like neurons, respond to visual stimuli, with distinct spatial receptive fields and sharp tuning to visual stimulus features including orientation and spatial frequency. The stimulus-feature preferences of astrocytes were exquisitely mapped across the cortical surface, in close register with neuronal maps. The spatially restricted stimulus-specific component of the intrinsic hemodynamic mapping signal was highly sensitive to astrocyte activation, indicating that astrocytes have a key role in coupling neuronal organization to mapping signals critical for noninvasive brain imaging. Furthermore, blocking astrocyte glutamate transporters influenced the magnitude and duration of adjacent visually driven neuronal responses.

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Metadata

Authors
Schummers, J., Yu, H., & Sur, M.
Venue
Science
Published
2008-06-20
Volume
320
Issue
5883
Pages
1638-1643
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2087575468
Cited by
629
References
6
FWCI
21.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tuned Responses of Astrocytes and Their Influence on Hemodynamic Signals in the Visual Cortex. https://app.cochat.ai/papers/10.1126/science.1156120
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Schummers, J., Yu, H., & Sur, M. (2008). Tuned Responses of Astrocytes and Their Influence on Hemodynamic Signals in the Visual Cortex. Science. https://doi.org/10.1126/science.1156120

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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.