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. |
|---|---|
| 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] |
| Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 181276071 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Connectome‐based predictive modelling of ageing, overall cognitive functioning and memory performance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gu%2C+Yi%22">Gu, Yi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Lianghu%22">Guo, Lianghu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cai%2C+Xinyi%22">Cai, Xinyi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Qing%22">Yang, Qing</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Jian%22">Sun, Jian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Yufei%22">Li, Yufei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Jiayu%22">Zhu, Jiayu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Weijun%22">Zhang, Weijun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Peiyu%22">Huang, Peiyu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Yi%22">Jiang, Yi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bo%2C+Bin%22">Bo, Bin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Yao%22">Li, Yao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yaoyu%22">Zhang, Yaoyu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Minming%22">Zhang, Minming</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Jinsong%22">Wu, Jinsong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Hongcheng%22">Shi, Hongcheng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Siwei%22">Liu, Siwei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Qiang%22">He, Qiang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Xing%22">Yao, Xing</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Qiang%22">Zhang, Qiang</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neuroscience%22">European Journal of Neuroscience</searchLink>. Dec2024, Vol. 60 Issue 11, p6812-6829. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Functional+magnetic+resonance+imaging%22">Functional magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+ability%22">Cognitive ability</searchLink><br /><searchLink fieldCode="DE" term="%22Frontal+lobe%22">Frontal lobe</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligence+levels%22">Intelligence levels</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/ejn.16559 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 6812 Subjects: – SubjectFull: Functional magnetic resonance imaging Type: general – SubjectFull: Cognitive ability Type: general – SubjectFull: Frontal lobe Type: general – SubjectFull: Intelligence levels Type: general – SubjectFull: Prediction models Type: general Titles: – TitleFull: Connectome‐based predictive modelling of ageing, overall cognitive functioning and memory performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gu, Yi – PersonEntity: Name: NameFull: Guo, Lianghu – PersonEntity: Name: NameFull: Cai, Xinyi – PersonEntity: Name: NameFull: Yang, Qing – PersonEntity: Name: NameFull: Sun, Jian – PersonEntity: Name: NameFull: Li, Yufei – PersonEntity: Name: NameFull: Zhu, Jiayu – PersonEntity: Name: NameFull: Zhang, Weijun – PersonEntity: Name: NameFull: Huang, Peiyu – PersonEntity: Name: NameFull: Jiang, Yi – PersonEntity: Name: NameFull: Bo, Bin – PersonEntity: Name: NameFull: Li, Yao – PersonEntity: Name: NameFull: Zhang, Yaoyu – PersonEntity: Name: NameFull: Zhang, Minming – PersonEntity: Name: NameFull: Wu, Jinsong – PersonEntity: Name: NameFull: Shi, Hongcheng – PersonEntity: Name: NameFull: Liu, Siwei – PersonEntity: Name: NameFull: He, Qiang – PersonEntity: Name: NameFull: Yao, Xing – PersonEntity: Name: NameFull: Zhang, Qiang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0953816X Numbering: – Type: volume Value: 60 – Type: issue Value: 11 Titles: – TitleFull: European Journal of Neuroscience Type: main |
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