大脑的老化静息状态功能连接。

IF 2.5 4区 医学 Q3 NEUROSCIENCES
Ali F Khan, Nada Saleh, Zachary A Smith
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引用次数: 0

摘要

大脑的静息状态网络(RSNs)的特征是在没有目标导向任务的情况下相关的自发时变波动。这些网络可以是局部的,也可以是跨越大脑的大规模网络。对这些网络的时空特性的研究有助于理解健康和患病状态下大脑的基本功能组织。随着年龄的增长,这些时空特性发生了变化。此外,rsn表现出神经可塑性,以弥补认知功能的丧失。本文综述了功能性磁共振成像(fMRI)对rsn年龄相关改变的研究成果。讨论了影响这些变化的潜在机制。还讨论了方法上的挑战和未来的方向。通过对这一领域的现状进行综述,本文旨在指导未来的研究工作,旨在促进健康的大脑衰老,并制定有效的干预措施,以治疗与年龄相关的认知障碍和神经退行性疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Brain's Aging Resting State Functional Connectivity.

Resting state networks (RSNs) of the brain are characterized as correlated spontaneous time-varying fluctuations in the absence of goal-directed tasks. These networks can be local or large-scale spanning the brain. The study of the spatiotemporal properties of such networks has helped understand the brain's fundamental functional organization under healthy and diseased states. As we age, these spatiotemporal properties change. Moreover, RSNs exhibit neural plasticity to compensate for the loss of cognitive functions. This narrative review aims to summarize current knowledge from functional magnetic resonance imaging (fMRI) studies on age-related alterations in RSNs. Underlying mechanisms influencing such changes are discussed. Methodological challenges and future directions are also addressed. By providing an overview of the current state of knowledge in this field, this review aims to guide future research endeavors aimed at promoting healthy brain aging and developing effective interventions for age-related cognitive impairment and neurodegenerative diseases.

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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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