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Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain

机译:衰老降低功能性大脑网络的强度-健康小鼠大脑的静止状态fMRI研究

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摘要

Resting-state functional magnetic resonance imaging (rsfMRI) is increasingly used to unravel the functional neuronal networks in health and disease. In particular, this technique of simultaneously probing the whole brain has found high interest in monitoring brain wide effects of cerebral disease and in evaluating therapeutic strategies. Such studies, applied in preclinical experimental mouse models, often require long-term observations. In particular during regeneration studies, easily several months of continuous monitoring are required to detect functional improvements. These long periods of following the functional deficits during disease evolution as well as the functional recoveries during therapeutic interventions represent a substantial fraction of the life span of the experimental animals. We have therefore aimed to decipher the role of healthy aging alone for changes in functional neuronal networks in mice, from developmental adolescence via adulthood to progressing aging. For this purpose, four different groups of C57Bl6 mice of varying age between 2 and 13 months were studied twice with 4 weeks separation using resting state fMRI at 9.4T. Dedicated data analysis including both Independent Component Analysis (ICA) followed by seed-based connectivity matrix compilation resulted in an inverse U-shape curve of functional connectivity (FC) strength in both the sensorimotor and default mode network (DMN). This inverse U-shape pattern presented a distinct maximum of FC strength at 8–9 months of age, followed by a continuous decrease during later aging phases. At progressed aging at 12–13 months, the reduction of connectivity strength varied between 25% and 70% with most connectivities showing a reduction in strength by approximately 50%. We recommend that these substantial age-dependent changes in FC strength must be considered in future longitudinal studies to discriminate focused disease-based functional deficits and therapy-related functional improvements from underlying independent age effects.
机译:静止状态功能磁共振成像(rsfMRI)越来越多地用于揭示健康和疾病中的功能神经元网络。特别是,这种同时探测整个大脑的技术在监视脑部疾病对大脑的广泛影响以及评估治疗策略方面引起了高度兴趣。在临床前实验小鼠模型中进行的此类研究通常需要长期观察。特别是在再生研究期间,很容易需要几个月的连续监控来检测功能改进。这些长期的疾病发展过程中的功能缺陷以及治疗干预过程中的功能恢复代表了实验动物寿命的很大一部分。因此,我们旨在破译健康衰老对小鼠功能神经元网络变化的作用,从发育青春期到成年再到衰老。为此,使用9.4T静息状态fMRI对4个不同组的2至13个月之间不同年龄的C57B16小鼠进行了两次研究,间隔4周。包括独立成分分析(ICA)和基于种子的连接矩阵编译在内的专用数据分析,在感觉运动和默认模式网络(DMN)中均产生了功能性连接(FC)强度的倒U形曲线。这种倒U形图案在8-9个月大时呈现出明显的FC强度最大值,随后在随后的老化阶段不断降低。在12-13个月的老化过程中,连接强度的降低幅度在25%至70%之间,大多数连接度显示强度降低了约50%。我们建议,在以后的纵向研究中必须考虑FC强度的这些与年龄相关的重大变化,以区分基于疾病的功能性缺陷和与治疗相关的功能改善与潜在的独立年龄影响。

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