Evidence map›Paper›PMID 40543093›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2025

Genetic and environmental contributions to ReHo and fALFF in early adolescence vary across brain regions.

Lachlan T Strike, Katie L McMahon, Sarah E Medland, Greig I de Zubicaray

Abstract readTwin Study
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2025. 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
0cells of the map it votes in
0citing 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

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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

4 authors.

Lachlan T StrikeSchool of Biomedical Sciences, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0003-2885-5898
Katie L McMahonSchool of Clinical Sciences, Queensland University of Technology, Brisbane, QLD 4059, Australia.
Sarah E MedlandBrain and Mental Health, QIMR Berghofer, Brisbane, QLD 4006, Australia.
Greig I de ZubicaraySchool of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD 4059, Australia.

Funding

National Health and Medical Research Council 1078756SEM APP1172917SEM APP2025674The Queensland Twin Adolescent Brain
6 · The paper itself

Abstract

Research on genetic and environmental influences on brain function generally focuses on connections between brain areas. A different yet unexplored approach is to examine activity within local brain regions. We investigated the influence of genes and environmental effects on two specific measures of local brain function: regional homogeneity and fractional amplitude of low-frequency fluctuations. Participants were drawn from a sample of adolescent twins on two occasions (mean ages 11.5 and 13.2 yr, n = 278 and 248). Results showed that genetic and environmental factors influenced brain function in almost all 210 cortical regions examined. Moreover, genetic and common environmental factors influencing regional homogeneity and fractional amplitude of low-frequency fluctuation values at wave 1 (9 to 14 yr) also influenced values at wave 2 (10 to 16 yr) for many regions. However, the influence of genetic and common environmental factors varied across the cortex, exhibiting different patterns in different regions. Furthermore, we found new (ie independent) genetic and environmental influences on brain activity at wave 2, again with regional patterns. Exploratory analyses found weak associations between anxiety and depressive symptoms and local brain function in several regions of the temporal lobe. These findings are consistent with similar studies of other resting-state functional MRI metrics (ie functional connectivity).

Indexed as

BrainGene-Environment InteractionAdolescentBrain MappingChildFemaleHumansMagnetic Resonance ImagingMaleadolescencefALFFfMRIheritabilityReHo

Identifiers

PMID40543093
PMCPMC12205945

What OpenQuestion holds

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Registered trials

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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.