Evidence map›Paper›PMID 40922547›Full record

ArticleeLife2025

Prenatal light exposure affects number sense and the mental number line in young domestic chicks.

Rosa Rugani, Matteo Macchinizzi, Yujia Zhang, Lucia Regolin

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Rosa RuganiDepartment of General Psychology, University of Padua, Padova, Italy.ORCID https://orcid.org/0000-0001-5294-6306
Matteo MacchinizziDepartment of General Psychology, University of Padua, Padova, Italy.ORCID https://orcid.org/0009-0004-1203-4117
Yujia ZhangDepartment of Psychology, The Ohio State University, Columbus, United States.ORCID https://orcid.org/0000-0002-0740-6383
Lucia RegolinDepartment of General Psychology, University of Padua, Padova, Italy.ORCID https://orcid.org/0000-0001-8960-0309

Funding

Marie Sklodowska-Curie Actions 10.3030/795242Ministero dell'Università e della Ricerca PRIN 2017 2017PSRHPZMinistero dell'Università e della Ricerca PRIN 2022 202254RHRTMinistero dell'Università e della Ricerca PRIN-PNRR 2022 P2022TKY7B
6 · The paper itself

Abstract

Humans order numerosity along a left-to-right mental number line (MNL), traditionally considered culturally rooted. Yet, some species at birth show spatial-numerical associations (SNA), suggesting neural origins. Various accounts link SNA to brain lateralization but lack evidence. We investigated brain lateralization effects on numerical spatialization in 100 newborn domestic chicks. In ovo light exposure yielded strongly lateralized brains in half the chicks and weakly lateralized in the other half. Chicks learned to select the 4th item in a sagittal array. At the test, the array was rotated 90°, with left and right 4th items correct. Strongly lateralized chicks outperformed weakly lateralized ones when ordinal and spatial cues were reliable (experiment 1), but not with unreliable spatial cues (experiment 2). Moreover, only strongly lateralized chicks showed left-to-right directionality, suggesting the right hemisphere's key role in integrating spatial and numerical cues. We demonstrate that brain lateralization is fundamental for developing a left-to-right oriented SNA.

Indexed as

BrainChickensFunctional LateralityLightMathematical ConceptsSpace PerceptionAnimalsCuesFemalebrain lateralizationdomestic chicks (gallus gallus)hemispheric specializationmental number lineneurosciencenumber sensenumerical cognitionspatial-numerical association

Identifiers

PMID40922547
PMCPMC12419798

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.