Whole-cortical graphical networks at wakeful rest in young and older adults revealed by functional near-infrared spectroscopy.
Whole-cortical graphical networks at wakeful rest in young and older adults revealed by functional near-infrared spectroscopy.
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DOI：
10.1117/1.nph.5.3.035004
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发表时间：
2018-07
期刊：
影响因子：
5.3
通讯作者：
Liu H
中科院分区：
文献类型：
--
作者：
Li L;Babawale O;Yennu A;Trowbridge C;Hulla R;Gatchel RJ;Liu H
很好地理解大脑网络中与年龄相关的变化和修改对于充分探索衰老对人类大脑的影响至关重要。利用功能性近红外光谱技术研究脑功能网络的报道很少。此外，很少有人知道使用fNIRS来评估大脑连接体中与年龄相关的变化的可行性。本研究应用全脑fNIRS测量技术，结合图论分析，评估静息态脑网络的年龄依赖性变化。从48名参与者（18名年轻人和30名老年人）中记录了5到8分钟的静息态脑血流动力学信号，其中133个光学通道覆盖了大部分皮层区域。计算局部和全局图度量以识别地形脑网络的年龄相关变化。与年轻人相比，老年人的整体和局部效率都有所下降，小世界性也有所下降。此外，年轻人在前额叶皮层显示出丰富的枢纽，而老年人则显示枢纽转移到感觉运动皮层。这些明显的中枢转移可能潜在地表明随着人们年龄的增长，决策、记忆和其他高阶功能的下降。我们的研究结果与已发表的文献一致，也证明了全头fNIRS测量评估静息态脑网络年龄依赖性变化的可行性。
A good understanding of age-dependent changes and modifications in brain networks is crucial for fully exploring the effects of aging on the human brain. Few reports have been found in studies of functional brain networks using functional near-infrared spectroscopy (fNIRS). Moreover, little is known about the feasibility of using fNIRS to assess age-related changes in brain connectomes. This study applied whole brain fNIRS measurement, combined with graph theory analysis, to assess the age-dependent changes in resting-state brain networks. Five to eight minutes of resting-state brain hemodynamic signals were recorded from 48 participants (18 young adults and 30 older adults) with 133 optical channels covering the majority of the cortical regions. Both local and global graph metrics were computed to identify the age-related changes of topographical brain networks. Older adults showed an overall decline of both global and local efficiency compared to young adults, as well as the decline of small-worldness. In addition, young adults showed the abundance of hubs in the prefrontal cortex, whereas older adults revealed the hub shifts to the sensorimotor cortex. These obvious shifts of hubs may potentially indicate decreases of the decision-making, memory, and other high-order functions as people age. Our results showed consistent findings with published literature and also demonstrated the feasibility of whole-head fNIRS measurements to assess age-dependent changes in resting-state brain networks.