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Age-Related Neural Dedifferentiation in the Motor System

Overview of attention for article published in PLOS ONE, December 2011
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Title
Age-Related Neural Dedifferentiation in the Motor System
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0029411
Pubmed ID
Authors

Joshua Carp, Joonkoo Park, Andrew Hebrank, Denise C. Park, Thad A. Polk

Abstract

Recent neuroimaging studies using multi-voxel pattern analysis (MVPA) show that distributed patterns of brain activation elicited by different visual stimuli are less distinctive in older adults than in young adults. However, less is known about the effects of aging on the neural representation of movement. The present study used MVPA to compare the distinctiveness of motor representations in young and older adults. We also investigated the contributions of brain structure to age differences in the distinctiveness of motor representations. We found that neural distinctiveness was reduced in older adults throughout the motor control network. Although aging was also associated with decreased gray matter volume in these regions, age differences in motor distinctiveness remained significant after controlling for gray matter volume. Our results suggest that age-related neural dedifferentiation is not restricted to sensory perception and is instead a more general feature of the aging brain.

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Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Germany 2 1%
Canada 2 1%
Hungary 1 <1%
Australia 1 <1%
Austria 1 <1%
Sweden 1 <1%
Belgium 1 <1%
Unknown 134 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 25%
Researcher 19 13%
Student > Master 15 10%
Student > Bachelor 12 8%
Student > Doctoral Student 7 5%
Other 24 17%
Unknown 32 22%
Readers by discipline Count As %
Psychology 39 27%
Neuroscience 26 18%
Medicine and Dentistry 14 10%
Agricultural and Biological Sciences 10 7%
Nursing and Health Professions 4 3%
Other 11 8%
Unknown 41 28%