Functional maintenance in the multiple demand network characterizes superior fluid intelligence in aging
Functional maintenance in the multiple demand network characterizes superior fluid intelligence in aging
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DOI：
10.1016/j.neurobiolaging.2019.09.006
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发表时间：
2019-09
影响因子：
4.2
通讯作者：
Nianming Zuo;Alireza Salami;Hao Liu;Zhengyi Yang;T. Jiang
中科院分区：
文献类型：
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作者：
Nianming Zuo;Alireza Salami;Hao Liu;Zhengyi Yang;T. Jiang
多需求网络（MDN）被概念化为多任务的核心处理系统。越来越多的证据也为MDN参与流体智力（gF）提供了强有力的支持，即解决新问题的能力。然而，在老年智力下降的潜在神经机制探索甚少，特别是是否维护的MDN的功能结构可以表征上级智能在成功的老龄化。在这里，我们使用特征向量中心性（EC）来探索MDN在整个大脑中的通信方面的静息态功能架构。我们发现gF与年龄呈负相关，并且MDN EC在老化寿命期间竞争性地介导gF的年龄相关性下降，这表明MDN的过度串扰对智力有害。重要的是，老年人与年轻人的MDN EC相当，表现出上级gF相比，他们的年龄匹配的同行。两者合计，这些数据提供了支持的MDN和它的含义，为成功老龄化的上级智能的维护年轻样的功能架构。
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.