Evidence map›Paper›PMID 37985263›Full record

ReviewTrends in neurosciences2024

Hidden variables in stress neurobiology research.

Ashley L Holloway, Talia N Lerner

Abstract readReview
In one paragraph

Review in Trends in neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

2 authors.

Ashley L HollowayDepartment of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Northwestern University Interdepartmental Neuroscience Program (NUIN), Evanston, IL, USA.
Talia N LernerDepartment of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Northwestern University Interdepartmental Neuroscience Program (NUIN), Evanston, IL, USA. Electronic address: talia.lerner@northwestern.edu.

Funding

How Early-Life Experiences Create Individual Variation in Dopamine Circuit Architecture: Understanding Risk for Psychiatric DiseaseDP2MH122401 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LERNER, TALIA NEWCOMBE · 2019 to 2022
$2.5M
Glucocorticoid regulation of dopamine circuit functionF99NS130873 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HOLLOWAY, ASHLEY · 2022 to 2022
$43k
NIMH NIH HHS DP2 MH122401NINDS NIH HHS F99 NS130873
6 · The paper itself

Abstract

Among the central goals of stress neurobiology research is to understand the mechanisms by which stressors change neural circuit function to precipitate or exacerbate psychiatric symptoms. Yet despite decades of effort, psychiatric medications that target the biological substrates of the stress response are largely lacking. We propose that the clinical advancement of stress response-based therapeutics for psychiatric disorders may be hindered by 'hidden variables' in stress research, including considerations of behavioral study design (stressors and outcome measures), individual variability, sex differences, and the interaction of the body's stress hormone system with endogenous circadian and ultradian rhythms. We highlight key issues and suggest ways forward in stress neurobiology research that may improve the ability to assess stress mechanisms and translate preclinical findings.

Indexed as

Circadian RhythmNeurobiologyFemaleHumansHypothalamo-Hypophyseal SystemMalePituitary-Adrenal SystemSex CharacteristicsStress, PhysiologicalStress, Psychologicalbehaviorcircadian rhythmhypothalamic–pituitary–adrenal (HPA) axisindividual differencespsychiatric disorderssex differences

Identifiers

PMID37985263
PMCPMC10842876

What OpenQuestion holds

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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.