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

Publisher: Wiley-Blackwell Country of Publication: France NLM ID: 8918110 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1460-9568 (Electronic) Linking ISSN: 0953816X NLM ISO Abbreviation: Eur J Neurosci Subsets: MEDLINE

Publication: : Oxford : Wiley-Blackwell
Original Publication: Oxford, UK : Published on behalf of the European Neuroscience Association by Oxford University Press, c1989-

Connectome* ; Cognition*/physiology ; Aging*/physiology ; Memory*/physiology ; Magnetic Resonance Imaging* ; Brain*/physiology ; Brain*/diagnostic imaging; Humans ; Male ; Female ; Aged ; Middle Aged ; Adult ; Cross-Sectional Studies ; Young Adult ; Aged, 80 and over

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.
(© 2024 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.)

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2022ZD0209000 STI 2030-Major Projects; ZJ2018-ZD-012 Shanghai Zhangjiang National Innovation Demonstration Zone Special Funds for Major Projects "Human Brain Research Imaging Equipment Development and Demonstration Application Platform"; JCYJ-SHFY-2022-014 Shanghai Pilot Program for Basic Research-Chinese Academy of Science, Shanghai Branch; NMED2021ZD-01-001 Open Research Fund Program of National Innovation Center for Advanced Medical Devices; KCXFZ20211020163408012 Shenzhen Science and Technology Program; 2021B0909050004 Special Fund for Science-Technology Innovation Strategy of Guangdong Province; CIFMS Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Science; 2019-I2M-5-082 Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Science; 21PJ1421400 Shanghai Pujiang Program

Keywords: ageing; brain connectivity; connectome‐based predictive modelling; intelligence quotient; memory quotient; resting‐state fMRI

Date Created: 20241111 Date Completed: 20241203 Latest Revision: 20241203

20241204

10.1111/ejn.16559

39523689