Ouchi Kazuya, Yamamoto Shinya, Obara Makoto, Sugase-Miyamoto Yasuko, Tsurugizawa Tomokazu
Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.
Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan.
Front Neuroanat. 2025 Mar 25;19:1495735. doi: 10.3389/fnana.2025.1495735. eCollection 2025.
Resting-state networks (RSNs) have been used as biomarkers of brain diseases and cognitive performance. However, age-related changes in the RSNs of macaques, a representative animal model, are still not fully understood. In this study, we measured the RSNs in macaques aged 3-20 years and investigated the age-related changes from both functional and structural perspectives. The proportion of structural connectivity in the RSNs relative to the total fibers in the whole brain significantly decreased in aged macaques, whereas functional connectivity showed an increasing trend with age. Additionally, the amplitude of low-frequency fluctuations tended to increase with age, indicating that resting-state neural activity may be more active in the RSNs may increase with age. These results indicate that structural and functional alterations in typical RSNs are age-dependent and can be a marker of aging in the macaque's brain.
静息态网络(RSNs)已被用作脑部疾病和认知表现的生物标志物。然而,作为一种代表性动物模型的猕猴的RSNs中与年龄相关的变化仍未被完全理解。在本研究中,我们测量了3至20岁猕猴的RSNs,并从功能和结构两个角度研究了与年龄相关的变化。老年猕猴的RSNs中结构连通性相对于全脑总纤维的比例显著降低,而功能连通性则呈现出随年龄增长的趋势。此外,低频波动的幅度倾向于随年龄增加,这表明RSNs中的静息态神经活动可能随年龄增长而更加活跃。这些结果表明,典型RSNs中的结构和功能改变是年龄依赖性的,并且可以作为猕猴大脑衰老的一个标志。