Connectome‐based predictive modelling of ageing, overall cognitive functioning and memory performance
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.
Authors
- Bin Bo (ORCID: https://orcid.org/0000-0002-4962-8654)
- Peiyu Huang (ORCID: https://orcid.org/0000-0003-4226-9369)
- Lianghu Guo
- Hongjiang Wei (ORCID: https://orcid.org/0000-0002-9060-4152)
- Jinsong Wu (ORCID: https://orcid.org/0000-0001-9204-4489)
- Minming Zhang (ORCID: https://orcid.org/0000-0003-0145-7558)
- Jiayu Zhu (ORCID: https://orcid.org/0009-0001-3552-3755)
- Yi Jiang (ORCID: https://orcid.org/0000-0003-3175-2398)
- Yaoyu Zhang (ORCID: https://orcid.org/0000-0002-6619-0762)
- Qiang Zhang (ORCID: https://orcid.org/0000-0003-3776-9799)
- Han Zhang (ORCID: https://orcid.org/0000-0002-0166-1973)
- Xu Zhang (ORCID: https://orcid.org/0000-0002-9784-0481)
- Jian Sun (ORCID: https://orcid.org/0009-0006-6485-0751)
- Weijun Zhang (ORCID: https://orcid.org/0000-0002-9432-7404)
- Yufei Li (ORCID: https://orcid.org/0000-0001-9657-2537)
- Qiang He (ORCID: https://orcid.org/0000-0002-7281-0200)
- Qing Yang (ORCID: https://orcid.org/0000-0001-5528-3843)
- Siwei Liu (ORCID: https://orcid.org/0000-0001-9188-5622)
- Yao Xing (ORCID: https://orcid.org/0009-0002-8625-2753)
- Xinyi Cai (ORCID: https://orcid.org/0000-0002-4444-4231)
- Yao Li (ORCID: https://orcid.org/0000-0002-4523-8368)
- Yi Gu (ORCID: https://orcid.org/0000-0002-0797-5586)
- Hongcheng Shi (ORCID: https://orcid.org/0009-0006-8552-9596)
Institutions
- Shanghai Medical College of Fudan University (CN)
- Sun Yat-sen University (CN)
- Shanghai Jiao Tong University (CN)
- Chifeng University (CN)
- Chinese Academy of Sciences (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Fudan University (CN)
- ShanghaiTech University (CN)
- Guangdong Polytechnic of Science and Technology (CN)
- Shanghai Advanced Research Institute (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- United Imaging Healthcare (China) (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Shanghai Clinical Research Center (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Huashan Hospital (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
Publication Details
- Journal
- European Journal of Neuroscience
- Published
- 2024-11-10
- DOI
- https://doi.org/10.1111/ejn.16559
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shenzhen Science and Technology Innovation Program