Evidence map›Paper›PMID 23760548›Full record

ArticleFrontiers in integrative neuroscience2013

Monitoring serotonin signaling on a subsecond time scale.

Elyse C Dankoski, R Mark Wightman

Abstract read
In one paragraph

Article in Frontiers in integrative neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
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  15. Review
  16. Tonic Serotonin MeasurementsAnalytical chemistry · 2021
    Article
  17. Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Elyse C DankoskiCurriculum in Neurobiology, University of North Carolina Chapel Hill, NC, USA.
R Mark Wightman

Funding

SECRETION FROM INDIVIDUAL VESICLESR01NS038879 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WIGHTMAN, ROBERT MARK · 1999 to 2012
$3.1M
NINDS NIH HHS R01 NS038879
6 · The paper itself

Abstract

Serotonin modulates a variety of processes throughout the brain, but it is perhaps best known for its involvement in the etiology and treatment of depressive disorders. Microdialysis studies have provided a clear picture of how ambient serotonin levels fluctuate with regard to behavioral states and pharmacological manipulation, and anatomical and electrophysiological studies describe the location and activity of serotonin and its targets. However, few techniques combine the temporal resolution, spatial precision, and chemical selectivity to directly evaluate serotonin release and uptake. Fast-scan cyclic voltammetry (FSCV) is an electrochemical method that can detect minute changes in neurotransmitter concentration on the same temporal and spatial dimensions as extrasynaptic neurotransmission. Subsecond measurements both in vivo and in brain slice preparations enable us to tease apart the processes of release and uptake. These studies have particularly highlighted the significance of regulatory mechanisms to proper functioning of the serotonin system. This article will review the findings of FSCV investigations of serotonergic neurotransmission and discuss this technique's potential in future studies of the serotonin system.

Indexed as

5-HTcarbon-fiber microelectrodecyclic voltammetryselective serotonin reuptake inhibitorserotonin autoreceptorserotonin transporter

Identifiers

PMID23760548
PMCPMC3672682

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.