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research
Aging brain from a network science perspective: Something to be positive about?
Authors
AA Stone
Arthur F. Kramer
+62 more
B Bilgic
C Habas
C Hertzog
C Nioche
Chelsea N. Wong
CJ Stam
CJ Stoodley
D Meunier
D Tomasi
DA Fair
DJ Madden
DJ Watts
E Bullmore
E Diener
Edward McAuley
EW Dijkstra
G Aston-Jones
HL Urry
J Carp
J Wang
JD Power
JD Steketee
JH Burdette
Jonathan H. Burdette
JR Andrews-Hanna
JS Damoiseaux
K Supekar
Kirk I. Erickson
KRA Van Dijk
Krish Sathian
LK Ferreira
LL Carstensen
M Hampson
M Jenkinson
M Kitsak
M Rubinov
MD Fox
Michelle W. Voss
MJ Minzenberg
MN Moussa
MN Rajah
MW Cole
MW Voss
MW Voss
NUF Dosenbach
P Hagmann
Paul J. Laurienti
Pauline L. Baniqued
R Guimerà
RL Buckner
RP Vertes
RP Vertes
RS Prakash
Ruchika Shaurya Prakash
S Achard
S Hayasaka
S Li
SM Smith
SM Smith
V Latora
W Pavot
WW Seeley
Publication date
1 January 2013
Publisher
'Public Library of Science (PLoS)'
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PubMed
Abstract
To better understand age differences in brain function and behavior, the current study applied network science to model functional interactions between brain regions. We observed a shift in network topology whereby for older adults subcortical and cerebellar structures overlapping with the Salience network had more connectivity to the rest of the brain, coupled with fragmentation of large-scale cortical networks such as the Default and Fronto-Parietal networks. Additionally, greater integration of the dorsal medial thalamus and red nucleus in the Salience network was associated with greater satisfaction with life for older adults, which is consistent with theoretical predictions of age-related increases in emotion regulation that are thought to help maintain well-being and life satisfaction in late adulthood. In regard to cognitive abilities, greater ventral medial prefrontal cortex coherence with its topological neighbors in the Default Network was associated with faster processing speed. Results suggest that large-scale organizing properties of the brain differ with normal aging, and this perspective may offer novel insight into understanding age-related differences in cognitive function and well-being. © 2013 Voss et al
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