Evidence map›Paper›PMID 37979300›Full record

ArticleDevelopmental cognitive neuroscience2023

From mother to child: How intergenerational transfer is reflected in similarity of corticolimbic brain structure and mental health.

Plamina Dimanova, Réka Borbás, Nora Maria Raschle

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Article in Developmental cognitive neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Plamina DimanovaJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University and ETH Zurich, Zurich, Switzerland. Electronic address: plamina.dimanova@jacobscenter.uzh.ch.
Réka BorbásJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland.
Nora Maria RaschleJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University and ETH Zurich, Zurich, Switzerland. Electronic address: nora.raschle@jacobscenter.uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntergenerational transfer effects include traits transmission from parent to child. While behaviorally well documented, studies on intergenerational transfer effects for brain structure or functioning are scarce, especially those examining relations of behavioral and neurobiological endophenotypes. This study aims to investigate behavioral and neural intergenerational transfer effects associated with the corticolimbic circuitry, relevant for socioemotional functioning and mental well-being.

methodsT1-neuroimaging and behavioral data was obtained from 72 participants (39 mother-child dyads/ 39 children; 7-13 years; 16 girls/ 33 mothers; 26-52 years). Gray matter volume (GMV) was extracted from corticolimbic regions (subcortical: amygdala, hippocampus, nucleus accumbens; neocortical: anterior cingulate, medial orbitofrontal areas). Mother-child similarity was quantified by correlation coefficients and comparisons to random adult-child pairs.

resultsWe identified significant corticolimbic mother-child similarity (r = 0.663) stronger for subcortical over neocortical regions. Mother-child similarity in mental well-being was significant (r = 0.409) and the degree of dyadic similarity in mental well-being was predicted by similarity in neocortical, but not subcortical GMV.

conclusionIntergenerational neuroimaging reveals significant mother-child transfer for corticolimbic GMV, most strongly for subcortical regions. However, variations in neocortical similarity predicted similarity in mother-child well-being. Ultimately, such techniques may enhance our knowledge of behavioral and neural familial transfer effects relevant for health and disease.

Indexed as

Mental HealthMothersAdultBrainChildFemaleHumansInfectious Disease Transmission, VerticalMagnetic Resonance ImagingMother-Child RelationsBrain morphologyCorticolimbic circuitryDevelopmentIntergenerational neuroimagingMental well-beingMRI

Identifiers

PMID37979300
PMCPMC10692656

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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.