Evidence map›Paper›PMID 42117806›Full record

ReviewBiology2026

A Review of Translational Behavioral Assays in Depression Research.

Ayush Sabherwal, Julianna E Peña, Anthony T Lopez, Frederick L Hitti

Abstract readReview
In one paragraph

Review in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ayush SabherwalDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0009-0007-9396-021X
Julianna E PeñaDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Anthony T LopezDepartment of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0009-0003-8329-0882
Frederick L HittiDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Funding

Brain and Behavior Research Foundation 31232
6 · The paper itself

Abstract

Major depressive disorder is a highly prevalent psychiatric disease, and many patients remain symptomatic despite treatment. Rodent models are central to preclinical depression research, but their translational impact is often constrained by the lack of direct human analogs. We conducted a review to identify behavioral tasks with direct cross-species analogs between rodents and humans. We focused on tests with comparable assay structures that measure depressive symptoms and related constructs. We followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and included all relevant studies. After screening 9680 studies and applying inclusion and exclusion criteria, 62 studies were included. We identified 10 behavioral tests with comparable human and rodent versions. These tests include assays of positive and negative valence systems, affective bias, and cognitive systems. These cross-species behavioral tests help close the gap between animal and human paradigms and advance the understanding of the neurobiology underlying depression. Each test has distinct strengths and limitations in its implementation across species. These assays offer a promising bridge between human and rodent research, and continued efforts to standardize and develop these tests will help maximize their utility in enhancing the understanding of depression and developing more effective treatments for mood disorders.

Indexed as

anhedoniaanimal modelscognitive biascross-species tasksdepressioneffort motivationhumansreward learningrodentstranslational behavior

Identifiers

PMID42117806
PMCPMC13162779

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.