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脑小世界属性与轻度认知障碍的疲劳感知。

Brain Small-Worldness Properties and Perceived Fatigue in Mild Cognitive Impairment.

机构信息

Cornell University, Ithaca, New York, USA.

Department of Brain and Cognitive Sciences, University of Rochester Medical Center, New York, USA.

出版信息

J Gerontol A Biol Sci Med Sci. 2022 Mar 3;77(3):541-546. doi: 10.1093/gerona/glab084.

Abstract

BACKGROUND

Perceived fatigue is among the most common complaints in older adults and is substantially influenced by diminished resources or impaired structure of widespread cortical and subcortical regions. Alzheimer's disease and its preclinical stage-mild cognitive impairment (MCI)-are considered a brain network disease. It is unknown, however, whether those with MCI will therefore perceive worse fatigue, and whether an impaired global brain network will worsen their experience of fatigue.

METHODS

In this pilot case-control study of age-, sex-, and education-matched MCI and their cognitively healthy counterparts (HCs), perceived fatigue was measured using Multidimensional Fatigue Inventory, and diffusion tensor imaging tractography data were analyzed using graph theory methods to explore small-worldness properties: segregation and integration.

RESULTS

Perceived fatigue was more severe in MCI than HCs. Despite a trend for greater network alterations in MCI, there were no significant group differences in integration or segregation. Greater perceived fatigue was related to higher segregation across groups; more perceived fatigue was related to higher segregation and lower integration in MCI but not HCs.

CONCLUSION

Findings of this study support the notion that altered whole-brain small-worldness properties in brain aging or neurodegeneration may underpin perceived fatigue.

摘要

背景

疲劳感是老年人最常见的主诉之一,主要受到广泛皮质和皮质下区域的资源减少或结构受损的影响。阿尔茨海默病及其临床前阶段——轻度认知障碍(MCI)——被认为是一种脑网络疾病。然而,尚不清楚 MCI 患者是否会因此感到更严重的疲劳,以及受损的全脑网络是否会加重他们的疲劳感。

方法

在这项年龄、性别和教育相匹配的 MCI 患者及其认知健康对照组(HCs)的试点病例对照研究中,使用多维疲劳量表(Multidimensional Fatigue Inventory)测量疲劳感,使用图论方法分析扩散张量成像轨迹数据,以探索小世界特性:分离和整合。

结果

MCI 患者的疲劳感比 HCs 更严重。尽管 MCI 患者的网络改变趋势更大,但整合或分离方面没有显著的组间差异。在两组中,更高的疲劳感与更高的分离有关;在 MCI 患者中,更高的疲劳感与更高的分离和更低的整合有关,但在 HCs 中则没有。

结论

这项研究的结果支持这样一种观点,即脑老化或神经退行性变中全脑小世界特性的改变可能是疲劳感的基础。

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