Evidence map›Paper›PMID 41663427›Full record

ArticleScientific data2026

Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations.

Gábor Kőrösi, Oliver Czimbalmos, Gabriella Kekesi, Gyongyi Horvath

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Gábor KőrösiDepartment of Computer Algorithms and Artificial Intelligence, Institute of Informatics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0000-0001-7384-0439
Oliver CzimbalmosDepartment of Computer Algorithms and Artificial Intelligence, Institute of Informatics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0009-0000-8027-6098
Gabriella KekesiDepartment of Physiology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0000-0002-0185-2155
Gyongyi HorvathDepartment of Physiology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary. horvath.gyongyi@med.u-szeged.hu.ORCID http://orcid.org/0000-0002-6025-4577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based corridor system that records locomotor and exploratory activities and cognitive functions after minimal handling. The collection contains 91 raw and derived variables, each measured across four consecutive trials, for 1,342 Long-Evans rats, including a triple-hit schizophrenia-like substrain (Lisket) bred through 16 generations. All data files, detailed metadata and analysis scripts are openly available on Zenodo. This resource enables longitudinal and multivariate studies of behavioral phenotypes, trans-generational effects, and strain differences, and it provides a benchmark for machine-learning-based marker discovery in rodent models.

Indexed as

Behavior, AnimalSchizophreniaAnimalsDisease Models, AnimalRatsRats, Long-Evans

Identifiers

PMID41663427
PMCPMC12996339

What OpenQuestion 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 OpenQuestion graph.