Relationships between brain structure-function coupling in normal aging and cognition: A cross-ethnicity population-based study

•A new index was developed to quantify brain SC-FC coupling and assess network topological similarity.•Cortical SC-FC coupling was strongest in the visual network and weakest in the ventral attention network.•In the cortex, SC-FC coupling strength declines with age and positively correlates with cog...

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Published in:NeuroImage (Orlando, Fla.) Vol. 299; p. 120847
Main Authors: Liu, Chang, Jing, Jing, Jiang, Jiyang, Wen, Wei, Zhu, Wanlin, Li, Zixiao, Pan, Yuesong, Cai, Xueli, Liu, Hao, Zhou, Yijun, Meng, Xia, Zhang, Jicong, Wang, Yilong, Li, Hao, Jiang, Yong, Zheng, Huaguang, Wang, Suying, Niu, Haijun, Kochan, Nicole, Brodaty, Henry, Wei, Tiemin, Sachdev, Perminder, Liu, Tao, Wang, Yongjun
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01.10.2024
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ISSN:1053-8119, 1095-9572, 1095-9572
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Abstract •A new index was developed to quantify brain SC-FC coupling and assess network topological similarity.•Cortical SC-FC coupling was strongest in the visual network and weakest in the ventral attention network.•In the cortex, SC-FC coupling strength declines with age and positively correlates with cognitive function. Increased efforts in neuroscience seek to understand how macro-anatomical and physiological connectomes cooperatively work to generate cognitive behaviors. However, the structure-function coupling characteristics in normal aging individuals remain unclear. Here, we developed an index, the Coupling in Brain Structural connectome and Functional connectome (C-BSF) index, to quantify regional structure-function coupling in a large community-based cohort. C-BSF used diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (fMRI) data from the Polyvascular Evaluation for Cognitive Impairment and Vascular Events study (PRECISE) cohort (2007 individuals, age: 61.15 ± 6.49 years) and the Sydney Memory and Ageing Study (MAS) cohort (254 individuals, age: 83.45 ± 4.33 years). We observed that structure-function coupling was the strongest in the visual network and the weakest in the ventral attention network. We also observed that the weaker structure-function coupling was associated with increased age and worse cognitive level of the participant. Meanwhile, the structure-function coupling in the visual network was associated with the visuospatial performance and partially mediated the connections between age and the visuospatial function. This work contributes to our understanding of the underlying brain mechanisms by which aging affects cognition and also help establish early diagnosis and treatment approaches for neurological diseases in the elderly.
AbstractList Increased efforts in neuroscience seek to understand how macro-anatomical and physiological connectomes cooperatively work to generate cognitive behaviors. However, the structure-function coupling characteristics in normal aging individuals remain unclear. Here, we developed an index, the Coupling in Brain Structural connectome and Functional connectome (C-BSF) index, to quantify regional structure-function coupling in a large community-based cohort. C-BSF used diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (fMRI) data from the Polyvascular Evaluation for Cognitive Impairment and Vascular Events study (PRECISE) cohort (2007 individuals, age: 61.15 ± 6.49 years) and the Sydney Memory and Ageing Study (MAS) cohort (254 individuals, age: 83.45 ± 4.33 years). We observed that structure-function coupling was the strongest in the visual network and the weakest in the ventral attention network. We also observed that the weaker structure-function coupling was associated with increased age and worse cognitive level of the participant. Meanwhile, the structure-function coupling in the visual network was associated with the visuospatial performance and partially mediated the connections between age and the visuospatial function. This work contributes to our understanding of the underlying brain mechanisms by which aging affects cognition and also help establish early diagnosis and treatment approaches for neurological diseases in the elderly.
Increased efforts in neuroscience seek to understand how macro-anatomical and physiological connectomes cooperatively work to generate cognitive behaviors. However, the structure-function coupling characteristics in normal aging individuals remain unclear. Here, we developed an index, the Coupling in Brain Structural connectome and Functional connectome (C-BSF) index, to quantify regional structure-function coupling in a large community-based cohort. C-BSF used diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (fMRI) data from the Polyvascular Evaluation for Cognitive Impairment and Vascular Events study (PRECISE) cohort (2007 individuals, age: 61.15 ± 6.49 years) and the Sydney Memory and Ageing Study (MAS) cohort (254 individuals, age: 83.45 ± 4.33 years). We observed that structure-function coupling was the strongest in the visual network and the weakest in the ventral attention network. We also observed that the weaker structure-function coupling was associated with increased age and worse cognitive level of the participant. Meanwhile, the structure-function coupling in the visual network was associated with the visuospatial performance and partially mediated the connections between age and the visuospatial function. This work contributes to our understanding of the underlying brain mechanisms by which aging affects cognition and also help establish early diagnosis and treatment approaches for neurological diseases in the elderly.Increased efforts in neuroscience seek to understand how macro-anatomical and physiological connectomes cooperatively work to generate cognitive behaviors. However, the structure-function coupling characteristics in normal aging individuals remain unclear. Here, we developed an index, the Coupling in Brain Structural connectome and Functional connectome (C-BSF) index, to quantify regional structure-function coupling in a large community-based cohort. C-BSF used diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (fMRI) data from the Polyvascular Evaluation for Cognitive Impairment and Vascular Events study (PRECISE) cohort (2007 individuals, age: 61.15 ± 6.49 years) and the Sydney Memory and Ageing Study (MAS) cohort (254 individuals, age: 83.45 ± 4.33 years). We observed that structure-function coupling was the strongest in the visual network and the weakest in the ventral attention network. We also observed that the weaker structure-function coupling was associated with increased age and worse cognitive level of the participant. Meanwhile, the structure-function coupling in the visual network was associated with the visuospatial performance and partially mediated the connections between age and the visuospatial function. This work contributes to our understanding of the underlying brain mechanisms by which aging affects cognition and also help establish early diagnosis and treatment approaches for neurological diseases in the elderly.
•A new index was developed to quantify brain SC-FC coupling and assess network topological similarity.•Cortical SC-FC coupling was strongest in the visual network and weakest in the ventral attention network.•In the cortex, SC-FC coupling strength declines with age and positively correlates with cognitive function. Increased efforts in neuroscience seek to understand how macro-anatomical and physiological connectomes cooperatively work to generate cognitive behaviors. However, the structure-function coupling characteristics in normal aging individuals remain unclear. Here, we developed an index, the Coupling in Brain Structural connectome and Functional connectome (C-BSF) index, to quantify regional structure-function coupling in a large community-based cohort. C-BSF used diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (fMRI) data from the Polyvascular Evaluation for Cognitive Impairment and Vascular Events study (PRECISE) cohort (2007 individuals, age: 61.15 ± 6.49 years) and the Sydney Memory and Ageing Study (MAS) cohort (254 individuals, age: 83.45 ± 4.33 years). We observed that structure-function coupling was the strongest in the visual network and the weakest in the ventral attention network. We also observed that the weaker structure-function coupling was associated with increased age and worse cognitive level of the participant. Meanwhile, the structure-function coupling in the visual network was associated with the visuospatial performance and partially mediated the connections between age and the visuospatial function. This work contributes to our understanding of the underlying brain mechanisms by which aging affects cognition and also help establish early diagnosis and treatment approaches for neurological diseases in the elderly.
ArticleNumber 120847
Author Liu, Hao
Sachdev, Perminder
Wang, Suying
Kochan, Nicole
Li, Hao
Wen, Wei
Jing, Jing
Wang, Yilong
Jiang, Yong
Li, Zixiao
Jiang, Jiyang
Meng, Xia
Pan, Yuesong
Niu, Haijun
Zhu, Wanlin
Zhang, Jicong
Zheng, Huaguang
Cai, Xueli
Brodaty, Henry
Zhou, Yijun
Wei, Tiemin
Liu, Tao
Wang, Yongjun
Liu, Chang
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/39265959$$D View this record in MEDLINE/PubMed
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ISSN 1053-8119
1095-9572
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Keywords Structure-function coupling
Cognition
Brain mechanisms
cognition
brain mechanisms
structure-function coupling
Language English
License This is an open access article under the CC BY-NC-ND license.
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Snippet •A new index was developed to quantify brain SC-FC coupling and assess network topological similarity.•Cortical SC-FC coupling was strongest in the visual...
Increased efforts in neuroscience seek to understand how macro-anatomical and physiological connectomes cooperatively work to generate cognitive behaviors....
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Age composition
Aging
Alzheimer's disease
Atherosclerosis
Brain mechanisms
Brain research
Cognition
Cognition & reasoning
Cognitive ability
Females
Functional anatomy
Functional magnetic resonance imaging
Geriatrics
Magnetic resonance imaging
Neuroimaging
Neurological diseases
Neurosciences
Older people
Population studies
Population-based studies
Structure-function coupling
Structure-function relationships
Visual perception
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