Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores

Background: Metabolic syndrome score in children assesses the risk of developing cardiovascular disease in future. We aim to probe the role of the caudate in relation to the metabolic syndrome score. Furthermore, using both functional and structural neuroimaging, we aim to examine the interplay betw...

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Main Authors: Pei Huang, Mya Thway Tint, Marissa Lee, Zhen Ming Ngoh, Peter Gluckman, Yap Seng Chong, Weiping Han, Yu Fu, Caroline Lei Wee, Marielle V. Fortier, Kai Keng Ang, Yung Seng Lee, Fabian Yap, Johan G. Eriksson, Michael J. Meaney, Ai Peng Tan
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:NeuroImage
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Online Access:http://www.sciencedirect.com/science/article/pii/S105381192300424X
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author Pei Huang
Mya Thway Tint
Marissa Lee
Zhen Ming Ngoh
Peter Gluckman
Yap Seng Chong
Weiping Han
Yu Fu
Caroline Lei Wee
Marielle V. Fortier
Kai Keng Ang
Yung Seng Lee
Fabian Yap
Johan G. Eriksson
Michael J. Meaney
Ai Peng Tan
author_facet Pei Huang
Mya Thway Tint
Marissa Lee
Zhen Ming Ngoh
Peter Gluckman
Yap Seng Chong
Weiping Han
Yu Fu
Caroline Lei Wee
Marielle V. Fortier
Kai Keng Ang
Yung Seng Lee
Fabian Yap
Johan G. Eriksson
Michael J. Meaney
Ai Peng Tan
author_sort Pei Huang
collection DOAJ
description Background: Metabolic syndrome score in children assesses the risk of developing cardiovascular disease in future. We aim to probe the role of the caudate in relation to the metabolic syndrome score. Furthermore, using both functional and structural neuroimaging, we aim to examine the interplay between functional and structural measures. Methods: A longitudinal birth cohort study with functional and structural neuroimaging data obtained at 4.5, 6.0 and 7.5 years and metabolic syndrome scores at 8.0 years was used. Pearson correlation and linear regression was used to test for correlation fractional anisotropy (FA) and fractional amplitude of low frequency fluctuations (fALFF) of the caudate with metabolic syndrome scores. Mediation analysis was used to test if later brain measures mediated the relation between earlier brain measures and metabolic syndrome scores. Inhibitory control was also tested as a mediator of the relation between caudate brain measures and metabolic syndrome scores. Results: FA at 4.5 years and fALFF at 7.5 years of the left caudate was significantly correlated with metabolic syndrome scores. Post-hoc mediation analysis showed that fALFF at 7.5 years fully mediated the relation between FA at 4.5 years and metabolic syndrome scores. Inhibitory control was significantly correlated with fALFF at 7.5 years, but did not mediate the relation between fALFF at 7.5 years and metabolic syndrome scores. Conclusions: We found that variations in caudate microstructure at 4.5 years predict later variation in functional activity at 7.5 years. This later variation in functional activity fully mediates the relation between microstructural changes in early childhood and metabolic syndrome scores at 8.0 years.
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spelling doaj.art-c796b2df9f6c4da7b0123adc71cf481c2023-08-12T04:33:47ZengElsevierNeuroImage1095-95722023-09-01278120273Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scoresPei Huang0Mya Thway Tint1Marissa Lee2Zhen Ming Ngoh3Peter Gluckman4Yap Seng Chong5Weiping Han6Yu Fu7Caroline Lei Wee8Marielle V. Fortier9Kai Keng Ang10Yung Seng Lee11Fabian Yap12Johan G. Eriksson13Michael J. Meaney14Ai Peng Tan15Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Yong Loo Lin School of Medicine, National University of Singapore, SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New ZealandSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics & Gynaecology, National University Hospital Singapore, SingaporeInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore; Center for Neuro-Metabolism and Regeneration Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, ChinaInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), SingaporeInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Diagnostic and Interventional Radiology, KK Women's and Children's Hospital, SingaporeInstitute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore; School of Computer Science and Engineering, Nanyang Technological University, SingaporeDepartment of Paedatrics, Yong Loo Lin School of Medicine, National University of Singapore, SingaporeDepartment of Paediatrics, Endocrinology Service, KK Women's and Children's Hospital, Singapore, SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland; Folkhälsan Research Center, Helsinki, FinlandSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Brain – Body Initiative, Agency for Science and Technology (A*STAR), SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Diagnostic Imaging, National University Hospital Singapore, Singapore; Corresponding author at: Department of Diagnostic Imaging, National University Health System, 1E Kent Ridge Rd 119228, SingaporeBackground: Metabolic syndrome score in children assesses the risk of developing cardiovascular disease in future. We aim to probe the role of the caudate in relation to the metabolic syndrome score. Furthermore, using both functional and structural neuroimaging, we aim to examine the interplay between functional and structural measures. Methods: A longitudinal birth cohort study with functional and structural neuroimaging data obtained at 4.5, 6.0 and 7.5 years and metabolic syndrome scores at 8.0 years was used. Pearson correlation and linear regression was used to test for correlation fractional anisotropy (FA) and fractional amplitude of low frequency fluctuations (fALFF) of the caudate with metabolic syndrome scores. Mediation analysis was used to test if later brain measures mediated the relation between earlier brain measures and metabolic syndrome scores. Inhibitory control was also tested as a mediator of the relation between caudate brain measures and metabolic syndrome scores. Results: FA at 4.5 years and fALFF at 7.5 years of the left caudate was significantly correlated with metabolic syndrome scores. Post-hoc mediation analysis showed that fALFF at 7.5 years fully mediated the relation between FA at 4.5 years and metabolic syndrome scores. Inhibitory control was significantly correlated with fALFF at 7.5 years, but did not mediate the relation between fALFF at 7.5 years and metabolic syndrome scores. Conclusions: We found that variations in caudate microstructure at 4.5 years predict later variation in functional activity at 7.5 years. This later variation in functional activity fully mediates the relation between microstructural changes in early childhood and metabolic syndrome scores at 8.0 years.http://www.sciencedirect.com/science/article/pii/S105381192300424XCaudatersfMRIFractional anisotropyMetabolic syndromeInhibitory control
spellingShingle Pei Huang
Mya Thway Tint
Marissa Lee
Zhen Ming Ngoh
Peter Gluckman
Yap Seng Chong
Weiping Han
Yu Fu
Caroline Lei Wee
Marielle V. Fortier
Kai Keng Ang
Yung Seng Lee
Fabian Yap
Johan G. Eriksson
Michael J. Meaney
Ai Peng Tan
Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores
NeuroImage
Caudate
rsfMRI
Fractional anisotropy
Metabolic syndrome
Inhibitory control
title Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores
title_full Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores
title_fullStr Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores
title_full_unstemmed Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores
title_short Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores
title_sort functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores
topic Caudate
rsfMRI
Fractional anisotropy
Metabolic syndrome
Inhibitory control
url http://www.sciencedirect.com/science/article/pii/S105381192300424X
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