Evidence map›Paper›PMID 41891445›Full record

ArticleDevelopment and psychopathology2026

Maternal mood entropy and children's hippocampal development: Enduring versus transient effects.

Katherine E Jennings, Daniela G Juarez, Jessica P Uy, Jessica L Buthmann, Yap Seng Chong, Peter D Gluckman, Johan G Eriksson, Marielle V Fortier, Helen Chen, Michael J Meaney and 3 more

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Article in Development and psychopathology, 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
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0citing papers in PubMed
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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

13 authors.

Katherine E JenningsDepartment of Psychological Sciences, https://ror.org/02der9h97University of Connecticut, Storrs, CT, USA.ORCID https://orcid.org/0009-0001-5228-010X
Daniela G JuarezDepartment of Psychological Sciences, https://ror.org/02der9h97University of Connecticut, Storrs, CT, USA.
Jessica P UyDepartment of Psychology, Stanford University, Stanford, CA, USA.
Jessica L ButhmannDepartment of Psychology, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0003-1815-9418
Yap Seng ChongDepartment of Obstetrics & Gynaecology, NUS Yong Loo Lin School of Medicine, Singapore.
Peter D GluckmanAgency for Science, Technology and Research in Singapore, Singapore Institute for Clinical Sciences, Singapore.
Johan G ErikssonDepartment of Obstetrics & Gynaecology, NUS Yong Loo Lin School of Medicine, Singapore.
Marielle V FortierAgency for Science, Technology and Research in Singapore, Singapore Institute for Clinical Sciences, Singapore.
Helen ChenDuke-National University of Singapore Medical School, Singapore.
Michael J MeaneyAgency for Science, Technology and Research in Singapore, Singapore Institute for Clinical Sciences, Singapore.
Ai Peng TanAgency for Science, Technology and Research in Singapore, Singapore Institute for Clinical Sciences, Singapore.
Ian H GotlibDepartment of Psychology, Stanford University, Stanford, CA, USA.
Jonas G MillerDepartment of Psychological Sciences, https://ror.org/02der9h97University of Connecticut, Storrs, CT, USA.ORCID https://orcid.org/0000-0001-7061-3900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent research suggests that maternal mood entropy, a novel measure of mood dysfunction, is associated with child outcomes. However, the link between maternal mood entropy and children's structural brain development, and how this association may change across childhood, remains unclear. In a longitudinal study with neuroimaging data collected at ages 4.5, 6, 7.5, and 10.5 years (

Indexed as

biological embeddingenduring effectshippocampusmaternal moodrevisionist effects

Identifiers

PMID41891445
PMCPMC13038852

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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.