Associations of physical function and body mass index with functional brain networks in community-dwelling older adults.
Associations of physical function and body mass index with functional brain networks in community-dwelling older adults.
复制标题
社区老年人的身体功能和体重指数与功能性大脑网络的关联。
DOI：
10.1016/j.neurobiolaging.2023.03.008
复制
发表时间：
2023
影响因子：
4.2
通讯作者：
Kritchevsky,StephenB
中科院分区：
文献类型：
--
作者：
Laurienti,PaulJ;Miller,MichaelE;Lyday,RobertG;Boyd,MadelineC;Tanase,AlexisD;Burdette,JonathanH;Hugenschmidt,ChristinaE;Rejeski,WJack;Simpson,SeanL;Baker,LauraD;Tomlinson,ChalE;Kritchevsky,StephenB
随着年龄的增长，身体机能的缺陷会导致生活质量的下降和死亡率的增加。人们对研究身体机能和神经生物学之间的联系越来越感兴趣。尽管在大脑结构研究中发现，在行动能力受损的个体中，白质疾病的水平很高，但人们对身体功能与功能性大脑网络之间的关系知之甚少。人们对身体质量指数（BMI）等可改变的风险因素与大脑功能网络之间的关系了解得更少。目前的研究检查了来自脑网络和移动性（B-NET）研究的192个个体的基线功能脑网络，这是一项正在进行的纵向观察性研究，研究对象是70岁及以上的社区居民。身体机能和身体质量指数与感觉运动和背侧注意网络的连通性有关。存在一种协同作用，即高身体功能和低BMI与最高的网络完整性相关。白质疾病并没有改变这些关系。未来的工作需要了解这些关系的因果方向。
Deficits in physical function that occur with aging contribute to declines in quality of life and increased mortality. There has been a growing interest in examining associations between physical function and neurobiology. Whereas high levels of white matter disease have been found in individuals with mobility impairments in structural brain studies, much less is known about the relationship between physical function and functional brain networks. Even less is known about the association between modifiable risk factors such as body mass index (BMI) and functional brain networks. The current study examined baseline functional brain networks in 192 individuals from the Brain Networks and mobility (B-NET) study, an ongoing longitudinal, observational study in community-dwelling adults aged 70 and older. Physical function and BMI were found to be associated with sensorimotor and dorsal attention network connectivity. There was a synergistic interaction such that high physical function and low BMI were associated with the highest network integrity. White matter disease did not modify these relationships. Future work is needed to understand the causal direction of these relationships.