Effects of a Motor Imagery Task on Functional Brain Network Community Structure in Older Adults: Data from the Brain Networks and Mobility Function (B-NET) Study.
Effects of a Motor Imagery Task on Functional Brain Network Community Structure in Older Adults: Data from the Brain Networks and Mobility Function (B-NET) Study.
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DOI：
10.3390/brainsci11010118
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发表时间：
2021-01-17
期刊：
影响因子：
3.3
通讯作者：
Laurienti PJ
中科院分区：
文献类型：
--
作者：
Neyland BR;Hugenschmidt CE;Lyday RG;Burdette JH;Baker LD;Rejeski WJ;Miller ME;Kritchevsky SB;Laurienti PJ
鉴于老年人和与年龄相关的行动障碍人口的增加，阐明与行动能力相关的神经因素至关重要。在当前的研究中，我们将图论应用于横断面数据，以表征在静止和运动成像（MI）任务期间由功能磁共振成像数据产生的功能脑网络。我们的MI任务来源于移动评估工具-短表格（MAT-sf），它预测400米步行的表现，以及短物理性能电池（SPPB）。参与者（n = 157）来自脑网络和移动性（B-NET）研究（平均年龄= 76.1±4.3；%女性= 55.4；%非裔美国人= 8.3；平均受教育年限= 15.7±2.5）。我们使用社区结构分析将功能性大脑网络划分为高度互联区域的社区或子网。与静息状态相比，脑梗死任务期间脑网络整体群落结构下降。我们还研究了研究人群的默认模式网络（DMN）、感觉运动网络（SMN）和背侧注意网络（DAN）的社区结构。当将MI任务与静息状态进行比较时，DMN和SMN在整个组中表现出任务驱动的一致性下降。然而，在MI任务期间，DAN显示出一致性的增加。据我们所知，这是第一个使用图论和网络社区结构来表征MI任务（如MAT-sf）对老年人整体大脑网络组织的影响的研究。
Elucidating the neural correlates of mobility is critical given the increasing population of older adults and age-associated mobility disability. In the current study, we applied graph theory to cross-sectional data to characterize functional brain networks generated from functional magnetic resonance imaging data both at rest and during a motor imagery (MI) task. Our MI task is derived from the Mobility Assessment Tool–short form (MAT-sf), which predicts performance on a 400 m walk, and the Short Physical Performance Battery (SPPB). Participants (n = 157) were from the Brain Networks and Mobility (B-NET) Study (mean age = 76.1 ± 4.3; % female = 55.4; % African American = 8.3; mean years of education = 15.7 ± 2.5). We used community structure analyses to partition functional brain networks into communities, or subnetworks, of highly interconnected regions. Global brain network community structure decreased during the MI task when compared to the resting state. We also examined the community structure of the default mode network (DMN), sensorimotor network (SMN), and the dorsal attention network (DAN) across the study population. The DMN and SMN exhibited a task-driven decline in consistency across the group when comparing the MI task to the resting state. The DAN, however, displayed an increase in consistency during the MI task. To our knowledge, this is the first study to use graph theory and network community structure to characterize the effects of a MI task, such as the MAT-sf, on overall brain network organization in older adults.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.3
作者：
Brissenden, James A.;Levin, Emily J.;Somers, David C.
通讯作者：
Somers, David C.
影响因子：
4.7
作者：
Leckie RL;Weinstein AM;Hodzic JC;Erickson KI
通讯作者：
Erickson KI
影响因子：
5.7
作者：
Iseki, Kazumi;Hanakawa, Takashi;Fukuyama, Hidenao
通讯作者：
Fukuyama, Hidenao
影响因子：
2.6
作者：
Grèzes, J;Decety, J
通讯作者：
Decety, J