Evidence map›Paper›PMID 29427332›Full record

ArticleHuman brain mapping2018

Genetic relatedness of axial and radial diffusivity indices of cerebral white matter microstructure in late middle age.

Sean N Hatton, Matthew S Panizzon, Eero Vuoksimaa, Donald J Hagler, Christine Fennema-Notestine, Daniel Rinker, Lisa T Eyler, Carol E Franz, Michael J Lyons, Michael C Neale and 3 more

Open access · greenAbstract readTwin Study
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Evaluating endophenotypes for bipolar disorder.International journal of bipolar disorders · 2021
    Review
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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

13 authors at 5 institutions in 2 countries.

Sean N HattonDepartment of Psychiatry, University of California, San Diego, La Jolla, California.ORCID 0000-0002-9149-8726
Matthew S PanizzonDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Eero VuoksimaaInstitute for Molecular Medicine Finland, University of Helsinki, Finland.ORCID 0000-0002-6534-3667
Donald J HaglerDepartment of Radiology, University of California, San Diego, La Jolla, California.
Christine Fennema-NotestineDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Daniel RinkerDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Lisa T EylerDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Carol E FranzDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, Massachusetts.
Michael C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, Virginia.
Ming T TsuangDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Anders M DaleDepartment of Radiology, University of California, San Diego, La Jolla, California.
William S KremenDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
University of California San Diego · USBoston University · USUniversity of Helsinki · FIUniversity of Southern California · USVirginia Commonwealth University · US

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
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
The VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6M
Testosterone-Androgen Receptor Genetics: Role in Cognitive and Biological AgingK08AG047903 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PANIZZON, MATTHEW S · 2014 to 2017
$452k
Archiving the Vietnam Era Twin Studies of Aging (VETSA): New Uses for Old DataR03AG046413 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRANZ, CAROL ELAINE · 2013 to 2014
$247k
NIA NIH HHS K08 AG047903NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG076838NIA NIH HHS R03 AG046413
6 · The paper itself

Abstract

Two basic neuroimaging-based characterizations of white matter tracts are the magnitude of water diffusion along the principal tract orientation (axial diffusivity, AD) and water diffusion perpendicular to the principal orientation (radial diffusivity, RD). It is generally accepted that decreases in AD reflect disorganization, damage, or loss of axons, whereas increases in RD are indicative of disruptions to the myelin sheath. Previous reports have detailed the heritability of individual AD and RD measures, but have not examined the extent to which the same or different genetic or environmental factors influence these two phenotypes (except for corpus callosum). We implemented bivariate twin analyses to examine the shared and independent genetic influences on AD and RD. In the Vietnam Era Twin Study of Aging, 393 men (mean age = 61.8 years, SD = 2.6) underwent diffusion-weighted magnetic resonance imaging. We derived fractional anisotropy (FA), mean diffusivity (MD), AD, and RD estimates for 11 major bilateral white matter tracts and the mid-hemispheric corpus callosum, forceps major, and forceps minor. Separately, AD and RD were each highly heritable. In about three-quarters of the tracts, genetic correlations between AD and RD were >.50 (median = .67) and showed both unique and common variance. Genetic variance of FA and MD were predominately explained by RD over AD. These findings are important for informing genetic association studies of axonal coherence/damage and myelination/demyelination. Thus, genetic studies would benefit from examining the shared and unique contributions of AD and RD.

Indexed as

Diffusion Tensor ImagingAgedAnisotropyCerebral CortexFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedNerve Fibers, MyelinatedTwins, DizygoticTwins, MonozygoticWhite Matteraxial diffusivitygenetic correlationheritabilitymagnetic resonance imagingradial diffusivitytwin studywhite matter

Identifiers

PMID29427332
PMCPMC5895525
OpenAlexW2793613668

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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.