Evidence map›Paper›PMID 26575625›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Development and aging of cortical thickness correspond to genetic organization patterns.

Anders M Fjell, Håkon Grydeland, Stine K Krogsrud, Inge Amlien, Darius A Rohani, Lia Ferschmann, Andreas B Storsve, Christian K Tamnes, Roser Sala-Llonch, Paulina Due-Tønnessen and 11 more

Abstract readTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 4 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

168 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  9. Neurobehavioral correlates of obesity are largely heritable.Proceedings of the National Academy of Sciences of the United States of America · 2018
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  19. Patterns of brain-wide associations reflect socioeconomics.bioRxiv : the preprint server for biology · 2025
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108 more citing papers are in PubMed but not listed here.

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

21 authors.

Anders M FjellResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway; Department of Physical Medicine and Rehabilitation, Unit of Neuropsychology, Oslo University Hospital, 0424 Oslo, Norway; andersmf@psykologi.uio.no.
Håkon GrydelandResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway;
Stine K KrogsrudResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway;
Inge AmlienResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway;ORCID http://orcid.org/0000-0002-8508-9088
Darius A RohaniResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway;
Lia FerschmannResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway;
Andreas B StorsveResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway;
Christian K TamnesResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway;
Roser Sala-LlonchResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway;
Paulina Due-TønnessenResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway; Department of Radiology, Rikshospitalet, Oslo University Hospital, 0424 Oslo, Norway;
Atle BjørnerudResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway; The Interventional Centre, Rikshospitalet, Oslo University Hospital, 0424 Oslo, Norway;
Anne Elisabeth SølsnesDepartment of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, 7491 Trondheim, Norway;
Asta K HåbergDepartment of Medical Imaging, St. Olav's Hospital, N-7006 Trondheim, Norway; Department of Neuroscience, Norwegian University of Science and Technology, 7491 Trondheim, Norway;
Jon SkranesDepartment of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, 7491 Trondheim, Norway;
Hauke BartschDepartment of Radiology, University of California at San Diego, La Jolla, CA 92093;
Chi-Hua ChenDepartment of Radiology, University of California at San Diego, La Jolla, CA 92093;
Wesley K ThompsonDepartment of Psychiatry, University of California at San Diego, La Jolla, CA 92093;
Matthew S PanizzonCenter of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA 92093;
William S KremenCenter of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA 92093; Center for Behavioral Genomics Twin Research Laboratory, University of California at San Diego, La Jolla, CA 92093;
Anders M DaleDepartment of Psychiatry, University of California at San Diego, La Jolla, CA 92093; Department of Neurosciences, University of California at San Diego, La Jolla, CA 92093.
Kristine B WalhovdResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway; Department of Physical Medicine and Rehabilitation, Unit of Neuropsychology, Oslo University Hospital, 0424 Oslo, Norway;

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
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
Identifying the Polygenic Basis of the Human Brain and Psychiatric DisordersR01MH100351 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, CHI-HUA · 2013 to 2017
$2.1M
NIA NIH HHS AG018384NIA NIH HHS AG018386NIA NIH HHS AG022381NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG050595NIMH NIH HHS R01 MH100351
6 · The paper itself

Abstract

There is a growing realization that early life influences have lasting impact on brain function and structure. Recent research has demonstrated that genetic relationships in adults can be used to parcellate the cortex into regions of maximal shared genetic influence, and a major hypothesis is that genetically programmed neurodevelopmental events cause a lasting impact on the organization of the cerebral cortex observable decades later. Here we tested how developmental and lifespan changes in cortical thickness fit the underlying genetic organizational principles of cortical thickness in a longitudinal sample of 974 participants between 4.1 and 88.5 y of age with a total of 1,633 scans, including 773 scans from children below 12 y. Genetic clustering of cortical thickness was based on an independent dataset of 406 adult twins. Developmental and adult age-related changes in cortical thickness followed closely the genetic organization of the cerebral cortex, with change rates varying as a function of genetic similarity between regions. Cortical regions with overlapping genetic architecture showed correlated developmental and adult age change trajectories and vice versa for regions with low genetic overlap. Thus, effects of genes on regional variations in cortical thickness in middle age can be traced to regional differences in neurodevelopmental change rates and extrapolated to further adult aging-related cortical thinning. This finding suggests that genetic factors contribute to cortical changes through life and calls for a lifespan perspective in research aimed at identifying the genetic and environmental determinants of cortical development and aging.

Indexed as

GenesAdultAgedAged, 80 and overAgingAlgorithmsBirth WeightCerebral CortexChildChild, PreschoolFemaleHumansInfantLongevityMaleMiddle Agedagingcerebral cortexdevelopmentgeneticmagnetic resonance imaging

Identifiers

PMID26575625
PMCPMC4687601

What OpenQuestion holds

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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.