Development of Individual Variability in Brain Functional Connectivity and Capability across the Adult Lifespan.
Development of Individual Variability in Brain Functional Connectivity and Capability across the Adult Lifespan.
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DOI：
10.1093/cercor/bhab059
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发表时间：
2021-04
期刊：
影响因子：
3.7
通讯作者：
Liying Ma;L. Tian;Tianyu Hu;T. Jiang;Nianming Zuo
中科院分区：
文献类型：
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作者：
Liying Ma;L. Tian;Tianyu Hu;T. Jiang;Nianming Zuo
大脑功能和行为表现都存在个体差异。然而，在成人发育和衰老过程中，大脑功能连接和能力的个体变异性的变化尚未得到明确的研究。基于543名18-88岁成人的静息状态功能磁共振成像数据，分析了大脑功能连通性的空间分布特征和个体差异。结果显示，在成年期间，关联皮层的个体差异很大，而初级皮层的个体差异在初始阶段相对较低，但随着年龄的增长而增加。个体变异性也与大脑中短、中、远程功能连接的强度/数量呈负相关，其中远程连接在增加衰老大脑的整体个体变异性方面发挥着更为关键的作用。更重要的是，就特定的大脑区域而言，运动皮层的个体差异与运动能力的差异显著相关。总的来说，我们确定了成人一生中大脑功能结构的个体变异性的特定模式，并证明了大脑的功能变异性可以反映行为表现。这些发现促进了我们对整个成人寿命中大脑老化的基本原理的理解，并建议如何使用成像生物标志物来表征退化的行为能力。
Individual variability exists in both brain function and behavioral performance. However, changes in individual variability in brain functional connectivity and capability across adult development and aging have not yet been clearly examined. Based on resting-state functional magnetic resonance imaging data from a large cohort of participants (543 adults, aged 18-88 years), brain functional connectivity was analyzed to characterize the spatial distribution and differences in individual variability across the adult lifespan. Results showed high individual variability in the association cortex over the adult lifespan, whereas individual variability in the primary cortex was comparably lower in the initial stage but increased with age. Individual variability was also negatively correlated with the strength/number of short-, medium-, and long-range functional connections in the brain, with long-range connections playing a more critical role in increasing global individual variability in the aging brain. More importantly, in regard to specific brain regions, individual variability in the motor cortex was significantly correlated with differences in motor capability. Overall, we identified specific patterns of individual variability in brain functional structure during the adult lifespan and demonstrated that functional variability in the brain can reflect behavioral performance. These findings advance our understanding of the underlying principles of the aging brain across the adult lifespan and suggest how to characterize degenerating behavioral capability using imaging biomarkers.