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Cited by 371

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Fast Synaptic Inhibition in Spinal Sensory Processing and Pain Control

Open access
Zeilhofer, Hanns Ulrich, Wildner, Hendrik, Yévenes, Gonzalo E.·2012·Physiological Reviews

Abstract

The two amino acids GABA and glycine mediate fast inhibitory neurotransmission in different CNS areas and serve pivotal roles in the spinal sensory processing. Under healthy conditions, they limit the excitability of spinal terminals of primary sensory nerve fibers and of intrinsic dorsal horn neurons through pre- and postsynaptic mechanisms, and thereby facilitate the spatial and temporal discrimination of sensory stimuli. Removal of fast inhibition not only reduces the fidelity of normal sensory processing but also provokes symptoms very much reminiscent of pathological and chronic pain syndromes. This review summarizes our knowledge of the molecular bases of spinal inhibitory neurotransmission and its organization in dorsal horn sensory circuits. Particular emphasis is placed on the role and mechanisms of spinal inhibitory malfunction in inflammatory and neuropathic chronic pain syndromes.

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Crossref · 10.1152/physrev.00043.2010

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Metadata

Authors
Zeilhofer, H. U., Wildner, H., & Yévenes, G. E.
Venue
Physiological Reviews
Published
2012-01
Volume
92
Issue
1
Pages
193-235
ISSN
  • 0031-9333 (ISSN-L)
  • 1522-1210
OpenAlex
W2092629475
Cited by
371
References
21
FWCI
3.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fast Synaptic Inhibition in Spinal Sensory Processing and Pain Control. https://app.cochat.ai/papers/10.1152/physrev.00043.2010
The paper
Zeilhofer, H. U., Wildner, H., & Yévenes, G. E. (2012). Fast Synaptic Inhibition in Spinal Sensory Processing and Pain Control. Physiological Reviews. https://doi.org/10.1152/physrev.00043.2010

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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.