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

Geon Ha Kim, Kiho Im, Hunki Kwon, Sang Won Seo, Byoung Seok Ye, Hanna Cho, Young Noh, Jong Min Lee, Sung Tae Kim, Sang Eon Park, Hojeong Kim, Jung Won Hwang, Sue J. Kang, Jee Hyang Jeong, Duk L. Na

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish
Article number198
JournalFrontiers in Aging Neuroscience
Volume8
Issue numberAUG
DOIs
StatePublished - 2016

Bibliographical note

Funding Information:
This study was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (HI14C3484), by the National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CRC-15-07-KIER) and by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01061198).

Publisher Copyright:
© 2016 Kim, Im, Kwon, Seo, Ye, Cho, Noh, Lee, Kim, Park, Kim, Hwang, Kang, Jeong and Na.

Keywords

  • Attention
  • Brain network
  • Graph analysis
  • Healthy elderly
  • Physical activity

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