Evidence map›Paper›PMID 26966366›Full record

ArticleNeuropsychiatric disease and treatment2016

A voxel-based morphometric study of age- and sex-related changes in white matter volume in the normal aging brain.

Haijing Liu, Lixin Wang, Zuojun Geng, Qingfeng Zhu, Zhenhu Song, Ruiting Chang, Huandi Lv

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

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32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

32 citing papers in PubMed.

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  5. Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
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  14. Cognitive Aging: How the Brain Ages?Advances in experimental medicine and biology · 2023
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  17. Neurobiological Mechanisms of Cognitive Decline Correlated with Brain Aging.Advances in experimental medicine and biology · 2023
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haijing LiuDepartment of Radiology, Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Lixin WangDepartment of Radiology, Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Zuojun GengDepartment of Radiology, Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Qingfeng ZhuDepartment of Radiology, Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Zhenhu SongDepartment of Radiology, Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Ruiting ChangDepartment of Radiology, Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Huandi LvDepartment of Radiology, Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo carry out a cross-sectional study of 187 cognitively normal Chinese adults using the voxel-based morphometry (VBM) approach to delineate age-related changes in the white matter volume of regions of interest in the brain and further analyze their correlation with age. MATERIALS AND

methodsA total of 187 cognitively normal adults were divided into the young, middle, and old age-groups. Conventional magnetic resonance imaging was performed with the Achieva 3.0 T system. Structural images were processed using VBM8 and statistical parametric mapping 8. Regions of interest were obtained by WFU PickAtlas, and all realigned images were spatially normalized.

resultsFemales showed significantly greater total white matter volume than males (t=2.36, P=0.0096, false-discovery rate [FDR] corrected). VBM demonstrated statistically significant age-related differences in white matter volume between the young age-group and the middle age-group (P<0.05, FDR corrected) and between the middle age-group and the old age-group (P<0.05, FDR corrected). No interaction was found between age and sex on white matter volume (P<0.05, FDR corrected). Logistic regression analysis revealed nonlinear correlation between total white matter volume and age (R (2)=0.124, P<0.001). White matter volume gradually increased before 40 years of age, peaked around 50 years of age, and rapidly declined after 60 years of age.

conclusionSignificant age-related differences are present in white matter volume across multiple brain regions during aging. The VBM approach may help differentiate underlying normal neurobiological aging changes of specific brain regions from neurodegenerative impairments.

Indexed as

agingbrainmagnetic resonance imagingROIvoxel-based morphometrywhite matter volume

Identifiers

PMID26966366
PMCPMC4771405

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