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Cited by 344

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Volume transmission in the CNS and its relevance for neuropsychopharmacology

Open access
Zoli, M·1999·Trends in Pharmacological Sciences

Abstract

The terms 'wiring' and 'volume' transmission (WT and VT) have been introduced to provide a systematic categorization of intercellular communication in the brain. WT is one-to-one transmission and includes classical synapses, gap junctions and membrane juxtapositions, whereas VT is a one-to-many transmission and includes paracrine and endocrine-like transmissions in the brain extracellular space and cerebrospinal fluids. Any brain cell can participate in WT and VT and any kind of substance (e.g. ions, classical transmitters, peptides, neurosteroids) can be a signal in WT and VT. These concepts are relevant for the pharmacokinetics and actions of neuropsychoactive drugs. These drugs can be regarded as exogenous VT signals in that they diffuse in the cerebral extracellular space and are constrained there by the same factors that influence migration of endogenous VT signals. In addition, neuropsychoactive drugs can better mimic and more effectively interact with the relatively unconstrained VT-type transmissions than with the rigidly constrained WT mechanisms, such as synaptic transmission.

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Metadata

Authors
Zoli, M.
Venue
Trends in Pharmacological Sciences
Publisher
Elsevier BV
Published
1999-04-01
Volume
20
Issue
4
Pages
142-150
ISSN
0165-6147 (ISSN-L)
OpenAlex
W2074010758
Cited by
344
References
74
FWCI
8.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Volume transmission in the CNS and its relevance for neuropsychopharmacology. https://app.cochat.ai/papers/10.1016/s0165-6147(99)01343-7
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Zoli, M. (1999). Volume transmission in the CNS and its relevance for neuropsychopharmacology. Trends in Pharmacological Sciences. https://doi.org/10.1016/s0165-6147(99)01343-7

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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.