Connectome‐based predictive modelling of ageing, overall cognitive functioning and memory performance.
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| Title: | Connectome‐based predictive modelling of ageing, overall cognitive functioning and memory performance. |
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| Authors: | Gu, Yi (AUTHOR), Guo, Lianghu (AUTHOR), Cai, Xinyi (AUTHOR), Yang, Qing (AUTHOR), Sun, Jian (AUTHOR), Li, Yufei (AUTHOR), Zhu, Jiayu (AUTHOR), Zhang, Weijun (AUTHOR), Huang, Peiyu (AUTHOR), Jiang, Yi (AUTHOR), Bo, Bin (AUTHOR), Li, Yao (AUTHOR), Zhang, Yaoyu (AUTHOR), Zhang, Minming (AUTHOR), Wu, Jinsong (AUTHOR), Shi, Hongcheng (AUTHOR), Liu, Siwei (AUTHOR), He, Qiang (AUTHOR), Yao, Xing (AUTHOR), Zhang, Qiang (AUTHOR) |
| Source: | European Journal of Neuroscience. Dec2024, Vol. 60 Issue 11, p6812-6829. 18p. |
| Subjects: | Functional magnetic resonance imaging, Cognitive ability, Frontal lobe, Intelligence levels, Prediction models |
| 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 0953816X |
| DOI: | 10.1111/ejn.16559 |
