Integrated structural and functional atlases of Asian children from infancy to childhood
The developing brain grows exponentially in the first few years of life. There is a need to have age-appropriate brain atlases that coherently characterize the geometry of the cerebral cortex, white matter tracts, and functional organization. This study employed multi-modal brain images of an Asian...
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2021
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oai:doaj.org-article:6319e574730543069b112019390d0eea2021-11-14T04:30:58ZIntegrated structural and functional atlases of Asian children from infancy to childhood1095-957210.1016/j.neuroimage.2021.118716https://doaj.org/article/6319e574730543069b112019390d0eea2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921009885https://doaj.org/toc/1095-9572The developing brain grows exponentially in the first few years of life. There is a need to have age-appropriate brain atlases that coherently characterize the geometry of the cerebral cortex, white matter tracts, and functional organization. This study employed multi-modal brain images of an Asian cohort and constructed brain structural and functional atlases for 6-month-old infants, 4.5-, 6-, and 7.5-year-old children. We exploited large deformation diffeomorphic metric mapping and probabilistic atlas generation approaches to integrate structural MRI and diffusion weighted images (DWIs) and to create the atlas where white matter tracts well fit into the cortical folding pattern. Based on this structural atlas, we then employed spectral clustering to parcellate the brain into functional networks from resting-state fMRI (rs-fMRI). Our results provided the atlas that characterizes the cortical folding geometry, subcortical regions, deep white matter tracts, as well as functional networks in a stereotaxic coordinate space for the four different age groups. The functional networks consisting of the primary cortex were well established in infancy and remained stable to childhood, while specific higher-order functional networks showed specific patterns of hemispherical, subcortical-cerebellar, and cortical-cortical integration and segregation from infancy to childhood. Our multi-modal fusion analysis demonstrated the use of the integrated structural and functional atlas for understanding coherent patterns of brain anatomical and functional development during childhood. Hence, our atlases can be potentially used to study coherent patterns of brain anatomical and functional development.Jingwen ZhuHan ZhangYap-Seng ChongLynette P. ShekPeter D. GluckmanMichael J. MeaneyMarielle V. FortierAnqi QiuElsevierarticleStructural magnetic resonance imagingDiffusion weighted imagingResting-state fMRIFunctional networksWhite matter tractsBrain growthNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118716- (2021) |
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topic |
Structural magnetic resonance imaging Diffusion weighted imaging Resting-state fMRI Functional networks White matter tracts Brain growth Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
spellingShingle |
Structural magnetic resonance imaging Diffusion weighted imaging Resting-state fMRI Functional networks White matter tracts Brain growth Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Jingwen Zhu Han Zhang Yap-Seng Chong Lynette P. Shek Peter D. Gluckman Michael J. Meaney Marielle V. Fortier Anqi Qiu Integrated structural and functional atlases of Asian children from infancy to childhood |
description |
The developing brain grows exponentially in the first few years of life. There is a need to have age-appropriate brain atlases that coherently characterize the geometry of the cerebral cortex, white matter tracts, and functional organization. This study employed multi-modal brain images of an Asian cohort and constructed brain structural and functional atlases for 6-month-old infants, 4.5-, 6-, and 7.5-year-old children. We exploited large deformation diffeomorphic metric mapping and probabilistic atlas generation approaches to integrate structural MRI and diffusion weighted images (DWIs) and to create the atlas where white matter tracts well fit into the cortical folding pattern. Based on this structural atlas, we then employed spectral clustering to parcellate the brain into functional networks from resting-state fMRI (rs-fMRI). Our results provided the atlas that characterizes the cortical folding geometry, subcortical regions, deep white matter tracts, as well as functional networks in a stereotaxic coordinate space for the four different age groups. The functional networks consisting of the primary cortex were well established in infancy and remained stable to childhood, while specific higher-order functional networks showed specific patterns of hemispherical, subcortical-cerebellar, and cortical-cortical integration and segregation from infancy to childhood. Our multi-modal fusion analysis demonstrated the use of the integrated structural and functional atlas for understanding coherent patterns of brain anatomical and functional development during childhood. Hence, our atlases can be potentially used to study coherent patterns of brain anatomical and functional development. |
format |
article |
author |
Jingwen Zhu Han Zhang Yap-Seng Chong Lynette P. Shek Peter D. Gluckman Michael J. Meaney Marielle V. Fortier Anqi Qiu |
author_facet |
Jingwen Zhu Han Zhang Yap-Seng Chong Lynette P. Shek Peter D. Gluckman Michael J. Meaney Marielle V. Fortier Anqi Qiu |
author_sort |
Jingwen Zhu |
title |
Integrated structural and functional atlases of Asian children from infancy to childhood |
title_short |
Integrated structural and functional atlases of Asian children from infancy to childhood |
title_full |
Integrated structural and functional atlases of Asian children from infancy to childhood |
title_fullStr |
Integrated structural and functional atlases of Asian children from infancy to childhood |
title_full_unstemmed |
Integrated structural and functional atlases of Asian children from infancy to childhood |
title_sort |
integrated structural and functional atlases of asian children from infancy to childhood |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/6319e574730543069b112019390d0eea |
work_keys_str_mv |
AT jingwenzhu integratedstructuralandfunctionalatlasesofasianchildrenfrominfancytochildhood AT hanzhang integratedstructuralandfunctionalatlasesofasianchildrenfrominfancytochildhood AT yapsengchong integratedstructuralandfunctionalatlasesofasianchildrenfrominfancytochildhood AT lynettepshek integratedstructuralandfunctionalatlasesofasianchildrenfrominfancytochildhood AT peterdgluckman integratedstructuralandfunctionalatlasesofasianchildrenfrominfancytochildhood AT michaeljmeaney integratedstructuralandfunctionalatlasesofasianchildrenfrominfancytochildhood AT mariellevfortier integratedstructuralandfunctionalatlasesofasianchildrenfrominfancytochildhood AT anqiqiu integratedstructuralandfunctionalatlasesofasianchildrenfrominfancytochildhood |
_version_ |
1718429959598374912 |