Effects of aging on cognitive and brain inter-network integration patterns underlying usual and dual-task gait performance.
Effects of aging on cognitive and brain inter-network integration patterns underlying usual and dual-task gait performance.
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DOI：
10.3389/fnagi.2022.956744
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发表时间：
2022
影响因子：
4.8
通讯作者：
中科院分区：
文献类型：
--
作者：
衰老影响认知和步态表现之间的相互作用。神经影像学研究报道了步态表现和结构测量之间的关联;然而，功能连接（FC）分析成像数据可以帮助识别最佳表现背后的动态神经机制。在这里，我们研究了在平时（UW）和双任务（DT）步行过程中，对步态表现的不同认知和网络间FC模式的影响。共招募了115名20至80岁的社区居住的健康参与者。所有参与者在两种条件下进行了全面的认知和步态评估，并进行了静息状态功能性MRI（fMRI）扫描。估计了运动相关的6个主要认知网络的网络间FC。逐步回归模型测试步态参数，网络间FC，神经心理评分和人口统计学变量之间的关系。所有统计分析采用p < 0.05的阈值。UW在很大程度上与运动和持续注意网络之间的FC水平相关。DT性能与运动和分散注意力之间的网络间FC以及整个组的处理速度相关。在年轻人中，UW与运动和持续注意网络之间的网络间FC相关。另一方面，DT性能与认知性能，以及运动和分散注意力网络（货车和SAL）之间的网络间连接。相比之下，老年组（> 65岁）表现出运动，背侧和腹侧注意之间的整合增加，以及默认模式网络，这与UW步态表现呈负相关。观察到运动和持续注意之间的反向关联，网络间连接和DT性能。虽然UW依赖于运动和持续注意网络之间的网络间FC，但DT表现依赖于额外的认知能力，增加运动和执行控制网络的整合。FC分析表明，随着年龄的增长，认知能力的下降导致对额外神经资源的依赖，以维持日常的步行任务。
Aging affects the interplay between cognition and gait performance. Neuroimaging studies reported associations between gait performance and structural measures; however, functional connectivity (FC) analysis of imaging data can help to identify dynamic neural mechanisms underlying optimal performance. Here, we investigated the effects on divergent cognitive and inter-network FC patterns underlying gait performance during usual (UW) and dual-task (DT) walking. A total of 115 community-dwelling, healthy participants between 20 and 80 years were enrolled. All participants underwent comprehensive cognitive and gait assessments in two conditions and resting state functional MRI (fMRI) scans. Inter-network FC from motor-related to 6 primary cognitive networks were estimated. Step-wise regression models tested the relationships between gait parameters, inter-network FC, neuropsychological scores, and demographic variables. A threshold of p < 0.05 was adopted for all statistical analyses. UW was largely associated with FC levels between motor and sustained attention networks. DT performance was associated with inter-network FC between motor and divided attention, and processing speed in the overall group. In young adults, UW was associated with inter-network FC between motor and sustained attention networks. On the other hand, DT performance was associated with cognitive performance, as well as inter-network connectivity between motor and divided attention networks (VAN and SAL). In contrast, the older age group (> 65 years) showed increased integration between motor, dorsal, and ventral attention, as well as default-mode networks, which was negatively associated with UW gait performance. Inverse associations between motor and sustained attention inter-network connectivity and DT performance were observed. While UW relies on inter-network FC between motor and sustained attention networks, DT performance relies on additional cognitive capacities, increased motor, and executive control network integration. FC analyses demonstrate that the decline in cognitive performance with aging leads to the reliance on additional neural resources to maintain routine walking tasks.
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DOI：
10.1016/j.apmr.2020.04.009
发表时间：
2020-08-01
影响因子：
4.3
作者：
James, Eric G.;Conatser, Phillip;Bean, Jonathan F.
通讯作者：
Bean, Jonathan F.
影响因子：
1.1
作者：
Holtzer R;Wang C;Verghese J
通讯作者：
Verghese J
影响因子：
4.8
作者：
Crockett RA;Hsu CL;Best JR;Liu-Ambrose T
通讯作者：
Liu-Ambrose T
影响因子：
5.7
作者：
Coste, Clio P.;Kleinschmidt, Andreas
通讯作者：
Kleinschmidt, Andreas
影响因子：
3.1
作者：
Menon, Vinod;Uddin, Lucina Q.
通讯作者：
Uddin, Lucina Q.