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

Overview of attention for article published in Neuropsychiatric Disease and Treatment, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters
facebook
2 Facebook pages

Citations

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21 Dimensions

Readers on

mendeley
45 Mendeley
Title
A voxel-based morphometric study of age- and sex-related changes in white matter volume in the normal aging brain
Published in
Neuropsychiatric Disease and Treatment, February 2016
DOI 10.2147/ndt.s90674
Pubmed ID
Authors

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

Abstract

To 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. A 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. Females 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. Significant 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Ph. D. Student 7 16%
Student > Postgraduate 5 11%
Student > Bachelor 5 11%
Student > Master 5 11%
Other 6 13%
Unknown 7 16%
Readers by discipline Count As %
Psychology 6 13%
Agricultural and Biological Sciences 6 13%
Neuroscience 5 11%
Medicine and Dentistry 4 9%
Engineering 3 7%
Other 10 22%
Unknown 11 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 March 2016.
All research outputs
#1,624,310
of 14,533,317 outputs
Outputs from Neuropsychiatric Disease and Treatment
#243
of 2,427 outputs
Outputs of similar age
#38,838
of 267,564 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#13
of 75 outputs
Altmetric has tracked 14,533,317 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.