The Effects of Cardiorespiratory and Motor Skill Fitness on Intrinsic Functional Connectivity of Neural Networks in Individuals with Parkinson's Disease.
The Effects of Cardiorespiratory and Motor Skill Fitness on Intrinsic Functional Connectivity of Neural Networks in Individuals with Parkinson's Disease.
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DOI：
10.3233/bpl-200115
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Petzinger GM
中科院分区：
文献类型：
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作者：
Jarrahi B;McEwen SC;Holschneider DP;Schiehser DM;Petkus AJ;Gomez ME;Van Horn JD;Filoteo V;Jakowec MW;Petzinger GM
对老年人的研究表明，认知与运动相关的体能（尤其是心肺适能）之间存在正相关。这些报告还证实了高心肺适能以及其他类型的体能与神经网络连接性的年龄相关衰退的逆转有关，突显了体能在年龄和疾病相关的大脑变化中的潜在作用。虽然运动在帕金森病（PD）中的临床益处已有充分记录，但心肺适能（通过估计最大摄氧量测试评估）或运动技能体能（通过身体性能测试（PPT）评估）对帕金森病神经网络连接性的影响程度仍有待研究。本研究的目的是探索这样一个假设：较高的体能水平与帕金森病中常见的受影响的认知网络的内在网络连接性增加有关。
在这项横断面静息态功能磁共振成像研究中，我们使用了一种基于高维独立成分分析（ICA）的多元统计方法，来研究两个独立的体能指标（估计最大摄氧量和PPT）与静息态网络连接性之间的关联。
我们发现，估计最大摄氧量的增加与已知在帕金森病中受损的认知网络（包括那些服务于记忆和执行功能的网络）的网络内连接性增加有关。PPT水平较高与不同静息态网络的网络内连接性增加也有类似趋势。功能网络连接性分析表明，心肺适能与躯体感觉运动网络和几个服务于记忆、注意力和执行功能的认知网络之间的功能连接性增加有关。
这项研究提供了重要的实证数据，支持两种体能形式与影响帕金森病认知的多个静息态网络之间的潜在关联。将体能与静息态网络连接性的特定回路调节联系起来，将有助于为体能和特定运动方式的积极影响建立神经基础，并为确定促进修复的潜在机制提供基础。
Studies in aging older adults have shown the positive association between cognition and exercise related fitness, particularly cardiorespiratory fitness. These reports have also demonstrated the association of high cardiorespiratory fitness, as well as other types of fitness, on the reversal of age-related decline in neural network connectivity, highlighting the potential role of fitness on age- and disease-related brain changes. While the clinical benefits of exercise are well-documented in Parkinson’s disease (PD), the extent to which cardiorespiratory fitness (assessed by estimated VO2max testing) or motor skill fitness (assessed by the Physical Performance Test (PPT)) affects neural network connectivity in PD remains to be investigated. The purpose of this study was to explore the hypothesis that higher fitness level is associated with an increase in the intrinsic network connectivity of cognitive networks commonly affected in PD. In this cross-sectional resting state fMRI, we used a multivariate statistical approach based on high-dimensional independent component analysis (ICA) to investigate the association between two independent fitness metrics (estimated VO2max and PPT) and resting state network connectivity. We found that increased estimated VO2max was associated with increased within network connectivity in cognitive networks known to be impaired in PD, including those sub-serving memory and executive function. There was a similar trend for high levels of PPT to be associated with increased within network connectivity in distinct resting state networks. The between functional network connectivity analysis revealed that cardiorespiratory fitness was associated with increased functional connectivity between somatosensory motor network and several cognitive networks sub-serving memory, attention, and executive function. This study provides important empirical data supporting the potential association between two forms of fitness and multiple resting state networks impacting PD cognition. Linking fitness to circuit specific modulation of resting state network connectivity will help establish a neural basis for the positive effects of fitness and specific exercise modalities and provide a foundation to identify underlying mechanisms to promote repair.