Evidence map›Paper›PMID 39840280›Full record

ArticleFrontiers in genetics2024

Co-methylation networks associated with cognition and structural brain development during adolescence.

Dawn Jensen, Jiayu Chen, Jessica A Turner, Julia M Stephen, Yu-Ping Wang, Tony W Wilson, Vince D Calhoun, Jingyu Liu

Abstract read
In one paragraph

Article in Frontiers in genetics, 2024. 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

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

8 authors.

Dawn JensenTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United States.
Jiayu ChenTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United States.
Jessica A TurnerDepartment of Psychiatry and Behavioral Health, Wexnar Medical Center, Ohio State University, Columbus, OH, United States.
Julia M StephenThe Mind Research Network, Albuquerque, NM, United States.
Yu-Ping WangDepartment of Biomedical Engineering, Tulane University, New Orleans, LA, United States.
Tony W WilsonInstitute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, United States.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United States.
Jingyu LiuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United States.

Funding

Understanding neurophysiological deficits in response inhibition in children with FASDP50AA022534 · NIAAA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Carlos Fernando Valenzuela · 2014 to 2026
$21.5M
Stress-Induced Aberrations in the Mitochondrial Redox Environment Impact Developing Neural Circuits Supporting Cognitive ControlP20GM144641 · NIGMS · FATHER FLANAGAN'S BOYS' HOME · PI Giorgia Picci · 2022 to 2026
$15.1M
Pilot Project Program (PPP)P30GM122734 · NIGMS · THE MIND RESEARCH NETWORK · PI MAYER, ANDREW ROBERT · 2018 to 2022
$7.0M
DEVELOPMENTAL MULTIMODAL IMAGING OF NEUROCOGNITIVE DYNAMICS (DEV-MIND)R01MH121101 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2019 to 2023
$5.8M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
Integration of brain imaging and multi-omics data for improved diagnosis and prediction of mental disordersR56MH124925 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI WANG, YU-PING · 2021 to 2022
$1.1M
NIAAA NIH HHS P50 AA022534NIGMS NIH HHS P20 GM144641NIGMS NIH HHS P30 GM122734NIMH NIH HHS R01 MH118695NIMH NIH HHS R01 MH121101NIMH NIH HHS R56 MH124925
6 · The paper itself

Abstract

Introduction: Typical adolescent neurodevelopment is marked by decreases in grey matter (GM) volume, increases in myelination, measured by fractional anisotropy (FA), and improvement in cognitive performance. Methods: To understand how epigenetic changes, methylation (DNAm) in particular, may be involved during this phase of development, we studied cognitive assessments, DNAm from saliva, and neuroimaging data from a longitudinal cohort of normally developing adolescents, aged nine to fourteen. We extracted networks of methylation with patterns of correlated change using a weighted gene correlation network analysis (WCGNA). Modules from these analyses, consisting of co-methylation networks, were then used in multivariate analyses with GM, FA, and cognitive measures to assess the nature of their relationships with cognitive improvement and brain development in adolescence. Results: This longitudinal exploration of co-methylated networks revealed an increase in correlated epigenetic changes as subjects progressed into adolescence. Co-methylation networks enriched for pathways involved in neuronal systems, potassium channels, neurexins and neuroligins were both conserved across time as well as associated with maturation patterns in GM, FA, and cognition. Discussion: Our research shows that correlated changes in the DNAm of genes in neuronal processes involved in adolescent brain development that were both conserved across time and related to typical cognitive and brain maturation, revealing possible epigenetic mechanisms driving this stage of development.

Indexed as

adolescent developmentbrain developmentcognitionco-methylationmethylationneuroimaging epigenetics

Identifiers

PMID39840280
PMCPMC11746905

What OpenQuestion holds

Textmetadata
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.