4.6 Article

Age-Related Declines in Motor Performance are Associated With Decreased Segregation of Large-Scale Resting State Brain Networks

期刊

CEREBRAL CORTEX
卷 28, 期 12, 页码 4390-4402

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhx297

关键词

aging; bimanual; functional connectivity; motor performance; resting state

资金

  1. KU Leuven Special Research Fund [C16/15/070]
  2. Research Foundation-Flanders (FWO) [132635, G.0708.14]
  3. Francqui Foundation
  4. European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement [703490]
  5. Wellcome Trust [101253/A/13/Z]

向作者/读者索取更多资源

Aging is typically associated with substantial declines inmotor functioning as well as robust changes in the functional organization of brain networks. Previous research has investigated the link between these 2 age-varying factors but examinations were predominantly limited to the functional organization within motor-related brain networks. Little is known about the relationship between age-related behavioral impairments and changes in functional organization at the whole brain (i.e., multiple network) level. This knowledge gap is surprising given that the decreased segregation of brain networks ( i.e., increased internetwork connectivity) can be considered a hallmark of the aging process. Accordingly, we investigated the association between declines in motor performance across the adult lifespan (20-75 years) and age-related modulations of functional connectivity within and between resting state networks. Results indicated that stronger internetwork resting state connectivity observed as a function of age was significantly related to worse motor performance. Moreover, performance had a significantly stronger association with the strength of internetwork as compared with intranetwork connectivity, including connectivity within motor networks. These findings suggest that age-related declines in motor performance may be attributed to a breakdown in the functional organization of large-scale brain networks rather than simply age-related connectivity changes within motor-related networks.

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