Evidence map›Paper›PMID 34258550›Full record

ArticleiScience2021

Intergenerational transmission of the patterns of functional and structural brain networks.

Yu Takagi, Naohiro Okada, Shuntaro Ando, Noriaki Yahata, Kentaro Morita, Daisuke Koshiyama, Shintaro Kawakami, Kingo Sawada, Shinsuke Koike, Kaori Endo and 4 more

Abstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Developmental patterns of mother-child similarity in executive function and electroencephalogram coherence.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2026
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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

14 authors.

Yu TakagiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Naohiro OkadaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shuntaro AndoDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Noriaki YahataDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kentaro MoritaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Daisuke KoshiyamaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shintaro KawakamiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kingo SawadaOffice for Mental Health Support, Mental Health Unit, Division for Practice Research, Center for Research on Counseling and Support Services, The University of Tokyo, Tokyo, Japan.
Shinsuke KoikeInternational Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.
Kaori EndoResearch Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Syudo YamasakiResearch Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Atsushi NishidaResearch Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Kiyoto KasaiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Saori C TanakaATR Brain Information Communication Research Laboratory Group, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is clear evidence of intergenerational transmission of life values, cognitive traits, psychiatric disorders, and even aspects of daily decision making. To investigate biological substrates of this phenomenon, the brain has received increasing attention as a measurable biomarker and potential target for intervention. However, no previous study has quantitatively and comprehensively investigated the effects of intergenerational transmission on functional and structural brain networks. Here, by employing an unusually large cohort dataset (N = 84 parent-child dyads; 45 sons, 39 daughters, 81 mothers, and 3 fathers), we show that patterns of functional and structural brain networks are preserved over a generation. We also demonstrate that several demographic factors and behavioral/physiological phenotypes have a relationship with brain similarity. Collectively, our results provide a comprehensive picture of neurobiological substrates of intergenerational transmission and demonstrate the usability of our dataset for investigating the neurobiological substrates of intergenerational transmission.

Indexed as

Behavioral neuroscienceSystems neuroscienceTechniques in neuroscience

Identifiers

PMID34258550
PMCPMC8253972

What OpenQuestion holds

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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.