Evidence map›Paper›PMID 39390064›Full record

ArticleCommunications biology2024

The genetics of spatiotemporal variation in cortical thickness in youth.

J Eric Schmitt, Aaron Alexander-Bloch, Jakob Seidlitz, Armin Raznahan, Michael C Neale

Abstract readTwin Study
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

J Eric SchmittDepartments of Psychiatry and Radiology, Division of Neuroradiology, Brain Behavior Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA, USA. eric.schmitt@stanfordalumni.org.ORCID 0000-0002-7487-227X
Aaron Alexander-BlochDepartment of Psychiatry, CHOP-Penn Brain-Gene-Development Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-6554-1893
Jakob SeidlitzDepartment of Psychiatry, CHOP-Penn Brain-Gene-Development Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8164-7476
Armin RaznahanDevelopmental Neurogenomics Unit, National Institutes of Mental Health, Building 10, Room 4C110, 10 Center Drive, Bethesda, MD, USA.ORCID 0000-0002-5622-1190
Michael C NealeDepartments of Psychiatry and Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0003-4887-659X

Funding

Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
Examining Brain Development, Context, and Culture as Mediators and Moderators of the Relation between Adverse Childhood Experiences (ACEs) and Substance (Ab)useU01DA051037 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI James M Bjork, MICHAEL CHURTON NEALE · 2020 to 2026
$11.0M
SCHIZOPHRENIA: A NEUROPSYCHIATRIC PERSPECTIVET32MH019112 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1990 to 2024
$6.2M
Extensions of Mendelian Randomization Methodology for Combined Genomic and Methylomic AnalysisR01DA049867 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2020 to 2024
$1.9M
Combined brain and gene network approaches to the developmental hypothesis of schizophreniaK08MH120564 · NIMH · YALE UNIVERSITY · PI ALEXANDER-BLOCH, AARON FELIX · 2019 to 2023
$923k
INGOT: a family of statistical computing algorithms for hypothesis-driven imaging genomic and longitudinal neuroimaging analysisK01ES026840 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI SCHMITT, JAMES E · 2015 to 2017
$276k
Intramural NIH HHS ZIA MH002949NIDA NIH HHS R01 DA049867NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA051037NIEHS NIH HHS K01 ES026840NIMH NIH HHS K08 MH120564NIMH NIH HHS T32 MH019112U.S. Department of Health & Human Services | National Institutes of Health (NIH) K01ES026840
6 · The paper itself

Abstract

Prior studies have shown strong genetic effects on cortical thickness (CT), structural covariance, and neurodevelopmental trajectories in childhood and adolescence. However, the importance of genetic factors on the induction of spatiotemporal variation during neurodevelopment remains poorly understood. Here, we explore the genetics of maturational coupling by examining 308 MRI-derived regional CT measures in a longitudinal sample of 677 twins and family members. We find dynamic inter-regional genetic covariation in youth, with the emergence of regional subnetworks in late childhood and early adolescence. Three critical neurodevelopmental epochs in genetically-mediated maturational coupling were identified, with dramatic network strengthening near eleven years of age. These changes are associated with statistically-significant (empirical p-value <0.0001) increases in network strength as measured by average clustering coefficient and assortativity. We then identify genes from the Allen Human Brain Atlas with similar co-expression patterns to genetically-mediated structural covariation in children. This set was enriched for genes involved in potassium transport and dendrite formation. Genetically-mediated CT-CT covariance was also strongly correlated with expression patterns for genes located in cells of neuronal origin.

Indexed as

Magnetic Resonance ImagingAdolescentBrain Cortical ThicknessCerebral CortexChildFemaleHumansLongitudinal StudiesMale

Identifiers

PMID39390064
PMCPMC11467331

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.