Evidence map›Paper›PMID 29344423›Full record

ArticleAging and disease2017

Age-Related Gray and White Matter Changes in Normal Adult Brains.

Farnaz Farokhian, Chunlan Yang, Iman Beheshti, Hiroshi Matsuda, Shuicai Wu

Abstract read
In one paragraph

Article in Aging and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

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

  1. Pooled it
  2. Pooled it
  3. Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review and meta-analysis.International journal of stroke : official journal of the International Stroke Society · 2022
    Pooled it
  4. White-matter free-water diffusion MRI in schizophrenia: a systematic review and meta-analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Pooled it
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  15. Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
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3 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

5 authors.

Farnaz Farokhian1College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100022, China.
Chunlan Yang1College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100022, China.
Iman Beheshti2Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan.
Hiroshi Matsuda2Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan.
Shuicai Wu1College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normal aging is associated with both structural changes in many brain regions and functional declines in several cognitive domains with advancing age. Advanced neuroimaging techniques enable explorative analyses of structural alterations that can be used as assessments of such age-related changes. Here we used voxel-based morphometry (VBM) to investigate regional and global brain volume differences among four groups of healthy adults from the IXI Dataset: older females (OF, mean age 68.35 yrs; n=69), older males (OM, 68.43 yrs; n=66), young females (YF, 27.09 yrs; n=71), and young males (YM, 27.91 yrs; n=71), using 3D T1-weighted MRI data. At the global level, we investigated the influence of age and gender on brain volumes using a two-way analysis of variance. With respect to gender, we used the Pearson correlation to investigate global brain volume alterations due to age in the older and young groups. At the regional level, we used a flexible factorial statistical test to compare the means of gray matter (GM) and white matter (WM) volume alterations among the four groups. We observed different patterns in both the global and regional GM and WM alterations in the young and older groups with respect to gender. At the global level, we observed significant influences of age and gender on global brain volumes. At the regional level, the older subjects showed a widespread reduction in GM volume in regions of the frontal, insular, and cingulate cortices compared to the young subjects in both genders. Compared to the young subjects, the older subjects showed a widespread WM decline prominently in the thalamic radiations, in addition to increased WM in pericentral and occipital areas. Knowledge of these observed brain volume differences and changes may contribute to the elucidation of mechanisms underlying aging as well as age-related brain atrophy and disease.

Indexed as

agingbrain volumegenderMRIvoxel-based morphometry

Identifiers

PMID29344423
PMCPMC5758357

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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.