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- W2973248840 abstract "The multiple demand network (MDN) is conceptualized as the core processing system for multitasking. Increasing evidence also provides strong support for the involvement of the MDN in fluid intelligence (gF), that is, the ability to solve new problems. However, the underlying neural mechanisms of declining intelligence in old age are poorly explored, particularly whether maintenance of the functional architecture of the MDN can characterize superior intelligence in successful aging. Here, we used eigenvector centrality (EC) to explore the resting-state functional architecture of the MDN in terms of its communication across the entire brain. We found gF to be negatively associated with age and that the MDN EC competitively mediated age-related decline in gF over the aging lifespan, suggesting that excessive cross-talk from the MDN is deleterious for intelligence. Critically, older individuals with comparable MDN EC as younger individuals exhibited superior gF compared with their age-matched counterparts. Taken together, these data provide support for the maintenance of youth-like functional architecture of the MDN and its implication for superior intelligence in successful aging." @default.
- W2973248840 created "2019-09-26" @default.
- W2973248840 creator A5029416913 @default.
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- W2973248840 creator A5049900520 @default.
- W2973248840 creator A5088664989 @default.
- W2973248840 date "2020-01-01" @default.
- W2973248840 modified "2023-10-03" @default.
- W2973248840 title "Functional maintenance in the multiple demand network characterizes superior fluid intelligence in aging" @default.
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- W2973248840 doi "https://doi.org/10.1016/j.neurobiolaging.2019.09.006" @default.
- W2973248840 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31718925" @default.
- W2973248840 hasPublicationYear "2020" @default.
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