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The age-related posterior-anterior shift as revealed by voxelwise analysis of functional brain networks

Overview of attention for article published in Frontiers in Aging Neuroscience, November 2014
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Title
The age-related posterior-anterior shift as revealed by voxelwise analysis of functional brain networks
Published in
Frontiers in Aging Neuroscience, November 2014
DOI 10.3389/fnagi.2014.00301
Pubmed ID
Authors

Paul McCarthy, Lubica Benuskova, Elizabeth A. Franz

Abstract

The posterior-anterior shift in aging (PASA) is a commonly observed phenomenon in functional neuroimaging studies of aging, characterized by age-related reductions in occipital activity alongside increases in frontal activity. In this work we have investigated the hypothesis as to whether the PASA is also manifested in functional brain network measures such as degree, clustering coefficient, path length and local efficiency. We have performed statistical analysis upon functional networks derived from a fMRI dataset containing data from healthy young, healthy aged, and aged individuals with very mild to mild Alzheimer's disease (AD). Analysis of both task based and resting state functional network properties has indicated that the PASA can also be characterized in terms of modulation of functional network properties, and that the onset of AD appears to accentuate this modulation. We also explore the effect of spatial normalization upon the results of our analysis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
Japan 1 1%
United States 1 1%
Singapore 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 23%
Student > Master 14 16%
Student > Ph. D. Student 11 13%
Student > Doctoral Student 7 8%
Professor > Associate Professor 5 6%
Other 15 17%
Unknown 14 16%
Readers by discipline Count As %
Psychology 20 23%
Neuroscience 18 21%
Medicine and Dentistry 10 12%
Agricultural and Biological Sciences 5 6%
Engineering 3 3%
Other 8 9%
Unknown 22 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from Frontiers in Aging Neuroscience
#4,029
of 4,760 outputs
Outputs of similar age
#188,328
of 262,845 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#53
of 71 outputs
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