Evidence map›Paper›PMID 21640837›Full record

ArticleNeuroImage2011

Fractional anisotropy of cerebral white matter and thickness of cortical gray matter across the lifespan.

P Kochunov, D C Glahn, J Lancaster, P M Thompson, V Kochunov, B Rogers, P Fox, J Blangero, D E Williamson

Abstract read
In one paragraph

Article in NeuroImage, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 5 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

112 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Role of White Matter Microstructure in Impulsive Behavior.The Journal of neuropsychiatry and clinical neurosciences · 2022
    Pooled it
  4. Pooled it
  5. Brain morphological changes in adolescent and adult patients with anorexia nervosa.Journal of neural transmission (Vienna, Austria : 1996) · 2016
    Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

52 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

9 authors.

P KochunovMaryland Psychiatric Research Center, University of Maryland, Catonsville, MD, USA. pkochunov@mprc.umaryland.edu
D C Glahn
J Lancaster
P M Thompson
V Kochunov
B Rogers
P Fox
J Blangero
D E Williamson

Funding

Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
Affective & Neurobiological Predictors of Adolescent-Onset Alcohol Use DisordersR01AA016274 · NIAAA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI WILLIAMSON, DOUGLAS E · 2006 to 2010
$2.6M
COMBINING NEUROIMAGING AND GENETICS FOR HERITABILITY MEASUREMENTSK01EB006395 · NIBIB · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI KOCHUNOV, PETER V. · 2007 to 2011
$733k
NIAAA NIH HHS R01 AA016274NIAAA NIH HHS R01AA016274NIBIB NIH HHS K01 EB006395NIBIB NIH HHS K01EB006395NIDA NIH HHS P20 MH/DA52176NIMH NIH HHS MH0708143NIMH NIH HHS MH078111NIMH NIH HHS MH083824NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH083824PHS HHS HSC19940074H
6 · The paper itself

Abstract

We examined age trajectories of fractional anisotropy (FA) of cerebral white matter (WM) and thickness of cortical gray matter (GM) in 1031 healthy human subjects (aged 11-90 years). Whole-brain FA and GM thickness values followed quadratic trajectories with age but the relationship between them was linear, indicating that a putative biological mechanism may explain the non-linearity of their age trajectories. Inclusion of the FA values into the quadratic model of the whole-brain and regional GM thickness changes with age made the effect of the age(2) term no longer significant for the whole-brain GM thickness and greatly reduced its significance for regional GM thickness measurements. The phylogenetic order of cerebral myelination helped to further explain the intersubject variability in GM thickness. FA values for the early maturing WM were significantly better (p=10(-6)) at explaining variability in GM thickness in maturing (aged 11-20) subjects than FA values for the late maturing WM. The opposite trend was observed for aging subjects (aged 40-90) where FA values for the late maturing WM were better (p=10(-16)) at explaining the variability in GM thickness. We concluded that the non-linearity of the age trajectory for GM thickness, measured from T1-weighted MRI, was partially explained by the heterogeneity and the heterochronicity of the age-related changes in the microintegrity of cerebral WM. We consider these findings as the evidence that the measurements of age-related changes in GM thickness and FA are driven, in part, by a common biological mechanism, presumed to be related to changes in cerebral myelination.

Indexed as

AdolescentAdultAgedAged, 80 and overAgingAlgorithmsAnisotropyCerebral CortexChildData Interpretation, StatisticalDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle Aged

Identifiers

PMID21640837
PMCPMC3144306

What OpenQuestion holds

Textmetadata
LicenceTDM
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.