Evidence map›Paper›PMID 35389678›Full record

SynthesisBehavioral neuroscience2022

Quantifying the inverted U: A meta-analysis of prefrontal dopamine, D1 receptors, and working memory.

Matthew A Weber, Mackenzie M Conlon, Hannah R Stutt, Linder Wendt, Patrick Ten Eyck, Nandakumar S Narayanan

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Behavioral neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Differential and state-dependent effects of the GluN2A-selective positive allosteric modulator GNE-5729 on executive functions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  8. Dual roles ofiScience · 2025
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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

6 authors at 1 institution in 1 country.

Matthew A WeberDepartment of Neurology.ORCID 0000-0003-0488-1792
Mackenzie M ConlonMedical Scientist Training Program.
Hannah R StuttDepartment of Neurology.
Linder WendtInstitute for Clinical and Translational Science.
Patrick Ten EyckInstitute for Clinical and Translational Science.
Nandakumar S NarayananDepartment of Neurology.ORCID 0000-0002-0427-0003
National Student Clearinghouse Research Center · US

Funding

The University of Iowa Clinical and Translational Science AwardUL1TR002537 · NCATS · UNIVERSITY OF IOWA · PI HANSEN, MARLAN R, WINOKUR, PATRICIA · 2018 to 2022
$20.0M
Timing and dopamine in frontostriatal circuitsR01MH116043 · NIMH · UNIVERSITY OF IOWA · PI NARAYANAN, NANDAKUMAR · 2018 to 2022
$2.4M
VTA dopamine neurons and cognitive symptoms of Parkinson’s diseaseR01NS120987 · NINDS · UNIVERSITY OF IOWA · PI NARAYANAN, NANDAKUMAR · 2021 to 2025
$2.0M
NCATS NIH HHS UL1 TR002537NIH HHSNIMH NIH HHS R01 MH116043NINDS NIH HHS R01 NS120987
6 · The paper itself

Abstract

Dopamine in the prefrontal cortex can be disrupted in human disorders that affect cognitive function such as Parkinson's disease (PD), attention-deficit hyperactivity disorder (ADHD), and schizophrenia. Dopamine has a powerful effect on prefrontal circuits via the D1-type dopamine receptor (D1DR). It has been proposed that prefrontal dopamine has "inverted U-shaped" dynamics, with optimal dopamine and D1DR signaling required for peak cognitive function. However, the quantitative relationship between prefrontal dopamine and cognitive function is not clear. Here, we conducted a meta-analysis of published manipulations of prefrontal dopamine and the effects on working memory, a high-level executive function in humans, primates, and rodents that involves maintaining and manipulating information over seconds to minutes. We reviewed 646 articles and found that 75 studies met criteria for inclusion. Our quantification of effect sizes for dopamine, D1DRs, and behavior revealed a negative quadratic slope. This is consistent with the proposed inverted U-shape of prefrontal dopamine and D1DRs and working memory performance, explaining 10% of the variance. Of note, the inverted quadratic fit was much stronger for prefrontal D1DRs alone, explaining 26% of the variance, compared to prefrontal dopamine alone, explaining 10% of the variance. Taken together, these data, derived from a variety of manipulations and systems, demonstrate that optimal prefrontal dopamine signaling is linked with higher cognitive function. Our results provide insight into the fundamental dynamics of prefrontal dopamine, which could be useful for pharmacological interventions targeting prefrontal dopaminergic circuits, and into the pathophysiology of human brain disease. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Indexed as

DopamineSchizophreniaAnimalsMemory, Short-TermPrefrontal CortexReceptors, Dopamine D1DopamineReceptors, Dopamine D1

Identifiers

PMID35389678
PMCPMC9364670
OpenAlexW4225550724

What OpenQuestion holds

Textmetadata
LicenceTDM
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.