Evidence map›Paper›PMID 31110471›Full record

ArticleFrontiers in neuroscience2019

Rachel A Saylor, Melinda Hersey, Alyssa West, Anna Marie Buchanan, Shane N Berger, H Frederik Nijhout, Michael C Reed, Janet Best, Parastoo Hashemi

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
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

34 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Serotonin as a biomarker of toxin-induced Parkinsonism.Molecular medicine (Cambridge, Mass.) · 2024
    Article
  9. Article
  10. SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin.IEEE open journal of engineering in medicine and biology · 2024
    Article
  11. Microdosing ketamine inbioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Rachel A SaylorDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, United States.
Melinda HerseyDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, United States.
Alyssa WestDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, United States.
Anna Marie BuchananDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, United States.
Shane N BergerDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, United States.
H Frederik NijhoutDepartment of Biology, Duke University, Durham, NC, United States.
Michael C ReedDepartment of Mathematics, Duke University, Durham, NC, United States.
Janet BestDepartment of Mathematics, The Ohio State University, Columbus, OH, United States.
Parastoo HashemiDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, United States.
University of South Carolina · USDuke University · USThe Ohio State University · US

Funding

An In Vivo Voltammetric Serotonin Biomarker for Antidepressant EfficacyR01MH106563 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HASHEMI, PARASTOO · 2016 to 2020
$1.6M
NIMH NIH HHS R01 MH106563
6 · The paper itself

Abstract

Depression is a highly prevalent psychiatric disorder, impacting females at a rate roughly twice that of males. This disparity has become the focus of many studies which are working to determine if there are environmental or biological underpinnings to depression pathology. The biology of depression is not well understood, but experts agree that a key neurotransmitter of interest is serotonin. Most research on basic serotonin neurochemistry, by us and others, has predominantly focused on male models. Thus, it is now critical to include female models to decipher possible fundamental differences between the sexes that may underlie this disorder. In this paper, we seek to determine any such differences using fast-scan cyclic voltammetry (FSCV) and fast-scan controlled adsorption voltammetry. These techniques allow us to probe the serotonergic system

Indexed as

depressionFSCAVFSCVhippocampusserotoninsexSSRI

Identifiers

PMID31110471
PMCPMC6499219
OpenAlexW2940465020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.