Connectome-based predictive modelling of ageing, overall cognitive functioning and memory performance.

IF 2.7 4区 医学 Q3 NEUROSCIENCES European Journal of Neuroscience Pub Date : 2024-11-10 DOI:10.1111/ejn.16559
Yi Gu, Lianghu Guo, Xinyi Cai, Qing Yang, Jian Sun, Yufei Li, Jiayu Zhu, Weijun Zhang, Peiyu Huang, Yi Jiang, Bin Bo, Yao Li, Yaoyu Zhang, Minming Zhang, Jinsong Wu, Hongcheng Shi, Siwei Liu, Qiang He, Xing Yao, Qiang Zhang, Hongjiang Wei, Xu Zhang, Han Zhang
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Abstract

Resting-state functional magnetic resonance imaging (rs-fMRI) and brain functional connectome (we use 'brain connectome' hereafter for simplicity) have advanced our understanding of the ageing brain and age-related changes in cognitive function. Previous studies have investigated the association among brain connectome and age, global cognition, and memory function separately. However, very few have predicted age, overall cognitive functioning and memory performance in a single study to better understand their complex relationship. In this cross-sectional study, we applied an exploratory, data-driven method to investigate the brain connectome markers that could predict ageing, overall cognitive functioning assessed as intelligence quotient (IQ, measured by Wechsler Memory Scale) and memory performance assessed as memory quotient (MQ, measured by Wechsler Memory Scale) in a carefully designed, multicentre, normal ageing cohort (n = 313). Our results showed that brain connectome could predict ageing and IQ, but the association with MQ was weak. We found that the connectivity with orbital frontal cortex was associated with both ageing and IQ. Mediation analysis further showed that the brain connectome mediated the relationship between age and overall cognitive functioning, suggesting a protective brain connectomic mechanism for maintaining normal cognitive functions during healthy ageing. This work may shed light on the potential neural correlates of healthy ageing, overall cognitive functioning and memory performance.

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基于连接组的老龄化、整体认知功能和记忆表现预测建模。
静息态功能磁共振成像(rs-fMRI)和大脑功能连接组(为简便起见,以下使用 "大脑连接组")加深了我们对大脑老化和认知功能年龄相关变化的理解。以往的研究分别调查了大脑连接组与年龄、整体认知和记忆功能之间的关联。然而,很少有研究在一项研究中对年龄、整体认知功能和记忆表现进行预测,以更好地了解它们之间的复杂关系。在这项横断面研究中,我们采用了一种探索性的数据驱动方法,在一个精心设计的多中心正常老年队列(n = 313)中,研究了可以预测年龄、以智商(IQ,用韦氏记忆量表测量)评估的整体认知功能和以记忆商数(MQ,用韦氏记忆量表测量)评估的记忆表现的大脑连接组标记。我们的研究结果表明,大脑连接组可以预测衰老和智商,但与记忆商数的关联较弱。我们发现,与眶额皮层的连接与衰老和智商都有关联。中介分析进一步表明,大脑连接组对年龄和整体认知功能之间的关系具有中介作用,这表明在健康老龄化过程中,大脑连接组具有维持正常认知功能的保护机制。这项研究可能会揭示健康老龄化、整体认知功能和记忆表现的潜在神经相关性。
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来源期刊
European Journal of Neuroscience
European Journal of Neuroscience 医学-神经科学
CiteScore
7.10
自引率
5.90%
发文量
305
审稿时长
3.5 months
期刊介绍: EJN is the journal of FENS and supports the international neuroscientific community by publishing original high quality research articles and reviews in all fields of neuroscience. In addition, to engage with issues that are of interest to the science community, we also publish Editorials, Meetings Reports and Neuro-Opinions on topics that are of current interest in the fields of neuroscience research and training in science. We have recently established a series of ‘Profiles of Women in Neuroscience’. Our goal is to provide a vehicle for publications that further the understanding of the structure and function of the nervous system in both health and disease and to provide a vehicle to engage the neuroscience community. As the official journal of FENS, profits from the journal are re-invested in the neuroscientific community through the activities of FENS.
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