Evidence map›Paper›PMID 35507286›Full record

ReviewCurrent topics in behavioral neurosciences2022

Modelling ADHD-Like Phenotypes in Zebrafish.

Barbara D Fontana, William H J Norton, Matthew O Parker

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current topics in behavioral neurosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.8field-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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. High-value valorization ofFrontiers in veterinary science · 2025
    Article
  3. Novel non-stimulants rescue hyperactive phenotype in an adgrl3.1 mutant zebrafish model of ADHD.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  4. Zebra-Sphinx: Modeling Sphingolipidoses in Zebrafish.International journal of molecular sciences · 2023
    Review
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

3 authors at 2 institutions in 1 country.

Barbara D FontanaBrain and Behaviour Laboratory, School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, UK.
William H J NortonDepartment of Neuroscience, Psychology and Behaviour, College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, UK. whjn1@leicester.ac.uk.
Matthew O ParkerBrain and Behaviour Laboratory, School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, UK. matthew.parker@port.ac.uk.
University of Portsmouth · GBUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of multiple species to model complex human psychiatric disorders, such as ADHD, can give important insights into conserved evolutionary patterns underlying multidomain behaviors (e.g., locomotion, attention, and impulsivity). Here we discuss the advantages and challenges in modelling ADHD-like phenotypes in zebrafish (Danio rerio), a vertebrate species that has been widely used in neuroscience and behavior research. Moreover, multiple behavioral tasks can be used to model the core symptoms of ADHD and its comorbidities. We present a critical review of current ADHD studies in zebrafish, and how this species might be used to accelerate the discovery of new drug treatments for this disorder.

Indexed as

Attention Deficit Disorder with HyperactivityZebrafishAnimalsAttentionHumansImpulsive BehaviorPhenotypeADHDAggressionAlternative modelsAnxietyAttentionHyperactivityImpulsivitySocial behaviorZebrafish

Identifiers

PMID35507286
OpenAlexW4229021935

What OpenQuestion holds

Textmetadata
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.