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Brain cortical characteristics of lifetime cognitive ageing

Overview of attention for article published in Brain Structure and Function, September 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 blog
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45 X users
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1 Google+ user

Citations

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89 Mendeley
Title
Brain cortical characteristics of lifetime cognitive ageing
Published in
Brain Structure and Function, September 2017
DOI 10.1007/s00429-017-1505-0
Pubmed ID
Authors

Simon R. Cox, Mark E. Bastin, Stuart J. Ritchie, David Alexander Dickie, Dave C. Liewald, Susana Muñoz Maniega, Paul Redmond, Natalie A. Royle, Alison Pattie, Maria Valdés Hernández, Janie Corley, Benjamin S. Aribisala, Andrew M. McIntosh, Joanna M. Wardlaw, Ian J. Deary

Abstract

Regional cortical brain volume is the product of surface area and thickness. These measures exhibit partially distinct trajectories of change across the brain's cortex in older age, but it is unclear which cortical characteristics at which loci are sensitive to cognitive ageing differences. We examine associations between change in intelligence from age 11 to 73 years and regional cortical volume, surface area, and thickness measured at age 73 years in 568 community-dwelling older adults, all born in 1936. A relative positive change in intelligence from 11 to 73 was associated with larger volume and surface area in selective frontal, temporal, parietal, and occipital regions (r < 0.180, FDR-corrected q < 0.05). There were no significant associations between cognitive ageing and a thinner cortex for any region. Interestingly, thickness and surface area were phenotypically independent across bilateral lateral temporal loci, whose surface area was significantly related to change in intelligence. These findings suggest that associations between regional cortical volume and cognitive ageing differences are predominantly driven by surface area rather than thickness among healthy older adults. Regional brain surface area has been relatively underexplored, and is a potentially informative biomarker for identifying determinants of cognitive ageing differences.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 25%
Researcher 19 21%
Student > Bachelor 11 12%
Student > Doctoral Student 5 6%
Professor 3 3%
Other 10 11%
Unknown 19 21%
Readers by discipline Count As %
Neuroscience 20 22%
Psychology 13 15%
Medicine and Dentistry 6 7%
Mathematics 4 4%
Agricultural and Biological Sciences 4 4%
Other 11 12%
Unknown 31 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 23 February 2019.
All research outputs
#1,177,943
of 25,196,456 outputs
Outputs from Brain Structure and Function
#61
of 1,753 outputs
Outputs of similar age
#23,489
of 321,289 outputs
Outputs of similar age from Brain Structure and Function
#3
of 38 outputs
Altmetric has tracked 25,196,456 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,753 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 96% 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 321,289 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.