Evidence map›Paper›PMID 30683161›Full record

ArticlePsychological medicine2020

Translating a rodent measure of negative bias into humans: the impact of induced anxiety and unmedicated mood and anxiety disorders.

Jessica Aylward, Claire Hales, Emma Robinson, Oliver J Robinson

Open access · hybridAbstract read
In one paragraph

Article in Psychological medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 7% 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, 49 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  6. Article
  7. Anxiety Shapes Amygdala-Prefrontal Dynamics During Movie Watching.Biological psychiatry global open science · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Computational perspectives on human fear and anxiety.Neuroscience and biobehavioral reviews · 2023
    Review
  12. Article
  13. Prefrontal cortex and depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
  14. Under Threat, Weaker Evidence Is Required to Reach Undesirable Conclusions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  15. Article
  16. The Importance of Common Currency Tasks in Translational Psychiatry.Current behavioral neuroscience reports · 2021
    Review
  17. Affective Bias Through the Lens of Signal Detection Theory.Computational psychiatry (Cambridge, Mass.) · 2021
    Article
  18. Article
  19. Article
  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

4 authors at 2 institutions in 1 country.

Jessica AylwardNeuroscience and Mental Health Group, Institute of Cognitive Neuroscience, 17-19 Queen Square, University College London, WC1N 3AZ, London, UK.
Claire HalesSchool of Physiology and Pharmacology, Biomedical Sciences Building, University Walk, University of Bristol, BS8 1TD, Bristol, UK.
Emma RobinsonSchool of Physiology and Pharmacology, Biomedical Sciences Building, University Walk, University of Bristol, BS8 1TD, Bristol, UK.
Oliver J RobinsonNeuroscience and Mental Health Group, Institute of Cognitive Neuroscience, 17-19 Queen Square, University College London, WC1N 3AZ, London, UK.ORCID 0000-0002-3100-1132
Queen Mary University of London · GBUniversity of Bristol · GB

Funding

Medical Research Council MR/K024280/1Medical Research Council MR/R020817/1
6 · The paper itself

Abstract

backgroundMood and anxiety disorders are ubiquitous but current treatment options are ineffective for many sufferers. Moreover, a number of promising pre-clinical interventions have failed to translate into clinical efficacy in humans. Improved treatments are unlikely without better animal-human translational pipelines. Here, we translate a rodent measure of negative affective bias into humans, exploring its relationship with (1) pathological mood and anxiety symptoms and (2) transient induced anxiety.

methodsAdult participants (age = 29 ± 11) who met criteria for mood or anxiety disorder symptomatology according to a face-to-face neuropsychiatric interview were included in the symptomatic group. Study 1 included N = 77 (47 = asymptomatic [female = 21]; 30 = symptomatic [female = 25]), study 2 included N = 47 asymptomatic participants (25 = female). Outcome measures were choice ratios, reaction times and parameters recovered from a computational model of reaction time - the drift diffusion model (DDM) - from a two-alternative-forced-choice task in which ambiguous and unambiguous auditory stimuli were paired with high and low rewards.

resultsBoth groups showed over 93% accuracy on unambiguous tones indicating intact discrimination, but symptomatic individuals demonstrated increased negative affective bias on ambiguous tones [proportion high reward = 0.42 (s.d. = 0.14)] relative to asymptomatic individuals [0.53 (s.d. = 0.17)] as well as a significantly reduced DDM drift rate. No significant effects were observed for the within-subjects anxiety-induction.

conclusionsHumans with pathological anxiety symptoms directly mimic rodents undergoing anxiogenic manipulation. The lack of sensitivity to transient anxiety suggests the paradigm might be more sensitive to clinically relevant symptoms. Our results establish a direct translational pipeline (and candidate therapeutics screen) from negative affective bias in rodents to pathological mood and anxiety symptoms in humans.

Indexed as

AffectRewardTranslational Research, BiomedicalAdolescentAdultAnimalsAnxiety DisordersBiasDisease Models, AnimalFemaleHumansMaleMood DisordersReaction TimeRodentiaYoung AdultAffective biasanxietyback-translationcomputational psychiatrydepressiondrift diffusion model

Identifiers

PMID30683161
PMCPMC7083556
OpenAlexW2950504490

What Socratic 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 Socratic graph.