Evidence map›Paper›PMID 34180395›Full record

ArticleeLife2021

The genetic organization of longitudinal subcortical volumetric change is stable throughout the lifespan.

Anders Martin Fjell, Hakon Grydeland, Yunpeng Wang, Inge K Amlien, David Bartres-Faz, Andreas M Brandmaier, Sandra Düzel, Jeremy Elman, Carol E Franz, Asta K Håberg and 14 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

24 authors at 8 institutions in 7 countries.

Anders Martin FjellCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0003-2502-8774
Hakon GrydelandCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
Yunpeng WangCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
Inge K AmlienCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
David Bartres-FazDepartament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0001-6020-4118
Andreas M BrandmaierCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0001-8765-6982
Sandra DüzelCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Jeremy ElmanCenter for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, United States.
Carol E FranzCenter for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, United States.
Asta K HåbergDepartment of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Tim C KietzmannMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Rogier Andrew KievitMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-0700-4568
William S KremenCenter for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, United States.
Stine K KrogsrudCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
Simone KühnCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0001-6823-7969
Ulman LindenbergerCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0001-8428-6453
Didac MacíaDepartament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.
Athanasia Monika MowinckelCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0002-5756-0223
Lars NybergCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0002-3367-1746
Matthew S PanizzonCenter for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, United States.
Cristina Solé-PadullésDepartament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.
Øystein SørensenCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
Rene WesterhausenCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
Kristine Beate WalhovdCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
University of Oslo · NOMax Planck Institute for Human Development · DEUniversity of California San Diego · USDepartament de Salut · ESOslo University Hospital · NOMRC Cognition and Brain Sciences Unit · GBNorwegian University of Science and Technology · NORadboud University Nijmegen · NL

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
Linking genetic subtypes of Alzheimer's disease to biological and cognitive heterogeneityK01AG063805 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A · 2021 to 2024
$516k
California Walnut Commission NCT01634841EU Horizon 2020 732592European Research Council 283634European Research Council 313440European Research Council 677804European Research Council 725025Federal Ministry of Education and Research 16SV5537/16SV5837/16SV5538/16SV5536K/01UW0808/01UW0706/01GL1716A/01GL1716BGerman Federal Ministry of Education and Research 16SV5537/16SV5837/16SV5538/16SV5536K/01UW0808/01UW0706/01GL1716A/01GL1716BHorizon 2020 732592Institució Catalana de Recerca i Estudis Avançats ICREA Academia-2019NIA NIH HHS K01 AG063805NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG050595Spanish Ministry of Science and Innovation MICIU/FEDER/RTI2018-095181-B-C21the California Walnut Commission NCT01634841U.S. National Institute on Aging AG022381U.S. National Institute on Aging AG050595
6 · The paper itself

Abstract

Development and aging of the cerebral cortex show similar topographic organization and are governed by the same genes. It is unclear whether the same is true for subcortical regions, which follow fundamentally different ontogenetic and phylogenetic principles. We tested the hypothesis that genetically governed neurodevelopmental processes can be traced throughout life by assessing to which degree brain regions that develop together continue to change together through life. Analyzing over 6000 longitudinal MRIs of the brain, we used graph theory to identify five clusters of coordinated development, indexed as patterns of correlated volumetric change in brain structures. The clusters tended to follow placement along the cranial axis in embryonic brain development, suggesting continuity from prenatal stages, and correlated with cognition. Across independent longitudinal datasets, we demonstrated that developmental clusters were conserved through life. Twin-based genetic correlations revealed distinct sets of genes governing change in each cluster. Single-nucleotide polymorphisms-based analyses of 38,127 cross-sectional MRIs showed a similar pattern of genetic volume-volume correlations. In conclusion, coordination of subcortical change adheres to fundamental principles of lifespan continuity and genetic organization.

Indexed as

AdolescentAdultAgedAged, 80 and overCerebral CortexChildChild, PreschoolFemaleHumansLongevityMagnetic Resonance ImagingMaleMiddle AgedYoung Adultbraingeneticshumanlifespanneuroscience

Identifiers

PMID34180395
PMCPMC8260220
OpenAlexW3176528983

What OpenQuestion holds

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LicenceCC BY
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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.