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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Computer and Information Science Fractional anisotropy Metabolic syndrome |
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Computer and Information Science Fractional anisotropy Metabolic syndrome Huang, Pei Tint, Mya Thway Lee, Marissa Ngoh, Zhen Ming Gluckman, Peter Chong, Yap Seng Han, Weiping Fu, Yu Wee, Caroline Lei Fortier, Marielle V. Ang, Kai Keng Lee, Yung Seng Yap, Fabian Eriksson, Johan G. Meaney, Michael J. Tan, Ai Peng Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores |
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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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School of Computer Science and Engineering |
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School of Computer Science and Engineering Huang, Pei Tint, Mya Thway Lee, Marissa Ngoh, Zhen Ming Gluckman, Peter Chong, Yap Seng Han, Weiping Fu, Yu Wee, Caroline Lei Fortier, Marielle V. Ang, Kai Keng Lee, Yung Seng Yap, Fabian Eriksson, Johan G. Meaney, Michael J. Tan, Ai Peng |
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Article |
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Huang, Pei Tint, Mya Thway Lee, Marissa Ngoh, Zhen Ming Gluckman, Peter Chong, Yap Seng Han, Weiping Fu, Yu Wee, Caroline Lei Fortier, Marielle V. Ang, Kai Keng Lee, Yung Seng Yap, Fabian Eriksson, Johan G. Meaney, Michael J. Tan, Ai Peng |
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Huang, Pei |
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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 |
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Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores |
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Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores |
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Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores |
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functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores |
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2024 |
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https://hdl.handle.net/10356/174184 |
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sg-ntu-dr.10356-1741842024-03-22T15:36:42Z Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores Huang, Pei Tint, Mya Thway Lee, Marissa Ngoh, Zhen Ming Gluckman, Peter Chong, Yap Seng Han, Weiping Fu, Yu Wee, Caroline Lei Fortier, Marielle V. Ang, Kai Keng Lee, Yung Seng Yap, Fabian Eriksson, Johan G. Meaney, Michael J. Tan, Ai Peng School of Computer Science and Engineering Institute for Infocomm Research, A*STAR Computer and Information Science Fractional anisotropy Metabolic syndrome 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. Agency for Science, Technology and Research (A*STAR) Ministry of Health (MOH) National Medical Research Council (NMRC) National Research Foundation (NRF) Published version This research was supported by funding provided by the Agency for Science, Technology and Research Strategic Research Program (BrainBody Initiative, iGrants call ID: #21718). Additional funding included grants NMRC/TCR/004-NUS/2008 and NMRC/TCR/012-NUHS/2014 from the Singapore National Research Foundation under the Translational and Clinical Research Flagship and Grant OFLCG/MOH-000504 from the Open Fund Large Collaborative Grant Programmes and administered by the Singapore Ministry of Health’s National Medical Research Council, Singapore. MJM is supported by funding from the Hope for Depression Research Foundation, USA, and the Jacobs Foundation, Switzerland. APT is supported by funding from the NMRC Transition Award (MOH-001273-00). 2024-03-19T02:03:59Z 2024-03-19T02:03:59Z 2023 Journal Article Huang, P., Tint, M. T., Lee, M., Ngoh, Z. M., Gluckman, P., Chong, Y. S., Han, W., Fu, Y., Wee, C. L., Fortier, M. V., Ang, K. K., Lee, Y. S., Yap, F., Eriksson, J. G., Meaney, M. J. & Tan, A. P. (2023). Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores. NeuroImage, 278, 120273-. https://dx.doi.org/10.1016/j.neuroimage.2023.120273 1053-8119 https://hdl.handle.net/10356/174184 10.1016/j.neuroimage.2023.120273 37473977 2-s2.0-85165471048 278 120273 en #21718 NMRC/TCR/004-NUS/2008 NMRC/TCR/012-NUHS/2014 OFLCG/MOH-000504 MOH-001273-00 NeuroImage © 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). application/pdf |