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Higher physical activity is associated with increased attentional network connectivity in the healthy elderly

Title
Higher physical activity is associated with increased attentional network connectivity in the healthy elderly
Authors
Kim G.H.Im K.Kwon H.Seo S.W.Ye B.S.Cho H.Noh Y.Lee J.M.Kim S.T.Park S.E.Kim H.Hwang J.W.Kang S.J.Jeong J.H.Na D.L.
Ewha Authors
김건하
SCOPUS Author ID
김건하scopus
Issue Date
2016
Journal Title
Frontiers in Aging Neuroscience
ISSN
1663-4365JCR Link
Citation
vol. 8, no. AUG
Keywords
AttentionBrain networkGraph analysisHealthy elderlyPhysical activity
Publisher
Frontiers Research Foundation
Indexed
SCIE; SCOPUS WOS scopus
Abstract
The purpose of this study was to demonstrate the potential alterations in structural network properties related to physical activity (PA) in healthy elderly. We recruited 76 elderly individuals with normal cognition from Samsung Medical Center in Seoul, Korea. All participants underwent the Cambridge Neuropsychological Test Automated Battery and 3.0T brain magnetic resonance imaging (MRI). Participants were subdivided into quartiles according to the International Physical Activity Questionnaire scores, which represents the amount of PA. Through graph theory based analyses, we compared global and local network topologies according to PA quartile. The higher PA group demonstrated better performance in speed processing compared to the lower PA group. Regional nodal strength also significantly increased in the higher PA group, which involved the bilateral middle frontal, bilateral inferior parietal, right medial orbitofrontal, right superior, and middle temporal gyri. These results were further replicated when the highest and the lowest quartile groups were compared in terms of regional nodal strengths and local efficiency. Our findings that the regional nodal strengths associated with the attentional network were increased in the higher PA group suggest the preventive effects of PA on age-related cognitive decline, especially in attention. © 2016 Kim, Im, Kwon, Seo, Ye, Cho, Noh, Lee, Kim, Park, Kim, Hwang, Kang, Jeong and Na.
DOI
10.3389/fnagi.2016.00198
Appears in Collections:
연구기관 > 뇌융합과학연구원 > Journal papers
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