Evidence map›Paper›PMID 33748573›Full record

ArticleACS omega2021

Automatic and Reliable Quantification of Tonic Dopamine Concentrations

Jaekyung Kim, Abhijeet S Barath, Aaron E Rusheen, Juan M Rojas Cabrera, J Blair Price, Hojin Shin, Abhinav Goyal, Jason W Yuen, Danielle E Jondal, Charles D Blaha and 3 more

Abstract read
In one paragraph

Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

13 authors.

Jaekyung KimDepartment of Neurology, University of California, San Francisco, San Francisco, California 94158, United States.
Abhijeet S BarathDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Aaron E RusheenDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Juan M Rojas CabreraDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
J Blair PriceDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Hojin ShinDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Abhinav GoyalDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Jason W YuenDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Danielle E JondalDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Charles D BlahaDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Kendall H LeeDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Dong Pyo JangDepartment of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Yoonbae OhDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.

Funding

TRAINING IN TRANSLATIONAL RESEARCH: BENCH TO BEDSIDER25GM055252 · NIGMS · MAYO CLINIC ROCHESTER · PI LUJAN, LUIS, MAHER, LOUIS JAMES · 1996 to 2022
$8.3M
NRSA Training CoreTL1TR002380 · NCATS · MAYO CLINIC ROCHESTER · PI Felicity T. B. Enders, ANTHONY John WINDEBANK · 2017 to 2026
$6.0M
Medical Scientist Traning Program at Mayo ClinicT32GM065841 · NIGMS · MAYO CLINIC ROCHESTER · PI KAUFMANN, SCOTT H, SCHIMMENTI, LISA A · 2003 to 2022
$5.8M
Development of advanced voltammetric method for basal neurotransmitter level measurementR01NS112176 · NINDS · MAYO CLINIC ROCHESTER · PI LEE, KENDALL H., OH, YOONBAE · 2019 to 2022
$1.4M
Mechanism of CMPf Deep Brain Stimulation for Tourette SyndromeF31NS115202 · NINDS · MAYO CLINIC ROCHESTER · PI RUSHEEN, AARON ELLIOTT · 2020 to 2023
$195k
NCATS NIH HHS TL1 TR002380NIGMS NIH HHS R25 GM055252NIGMS NIH HHS T32 GM065841NINDS NIH HHS F31 NS115202NINDS NIH HHS R01 NS112176
6 · The paper itself

Abstract

Dysregulation of the neurotransmitter dopamine (DA) is implicated in several neuropsychiatric conditions. Multiple-cyclic square-wave voltammetry (MCSWV) is a state-of-the-art technique for measuring tonic DA levels with high sensitivity (<5 nM), selectivity, and spatiotemporal resolution. Currently, however, analysis of MCSWV data requires manual, qualitative adjustments of analysis parameters, which can inadvertently introduce bias. Here, we demonstrate the development of a computational technique using a statistical model for standardized, unbiased analysis of experimental MCSWV data for unbiased quantification of tonic DA. The oxidation current in the MCSWV signal was predicted to follow a lognormal distribution. The DA-related oxidation signal was inferred to be present in the top 5% of this analytical distribution and was used to predict a tonic DA level. The performance of this technique was compared against the previously used peak-based method on paired

Identifiers

PMID33748573
PMCPMC7970470

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.