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Fine-grained functional parcellation maps of the infant cerebral cortex

Resting-state functional MRI (rs-fMRI) is widely used to examine the dynamic brain functional development of infants, but these studies typically require precise cortical parcellation maps, which cannot be directly borrowed from adult-based functional parcellation maps due to the substantial differe...

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Autores principales: Wang, Fan, Zhang, Han, Wu, Zhengwang, Hu, Dan, Zhou, Zhen, Girault, Jessica B, Wang, Li, Lin, Weili, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393291/
https://www.ncbi.nlm.nih.gov/pubmed/37526293
http://dx.doi.org/10.7554/eLife.75401
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author Wang, Fan
Zhang, Han
Wu, Zhengwang
Hu, Dan
Zhou, Zhen
Girault, Jessica B
Wang, Li
Lin, Weili
Li, Gang
author_facet Wang, Fan
Zhang, Han
Wu, Zhengwang
Hu, Dan
Zhou, Zhen
Girault, Jessica B
Wang, Li
Lin, Weili
Li, Gang
author_sort Wang, Fan
collection PubMed
description Resting-state functional MRI (rs-fMRI) is widely used to examine the dynamic brain functional development of infants, but these studies typically require precise cortical parcellation maps, which cannot be directly borrowed from adult-based functional parcellation maps due to the substantial differences in functional brain organization between infants and adults. Creating infant-specific cortical parcellation maps is thus highly desired but remains challenging due to difficulties in acquiring and processing infant brain MRIs. In this study, we leveraged 1064 high-resolution longitudinal rs-fMRIs from 197 typically developing infants and toddlers from birth to 24 months who participated in the Baby Connectome Project to develop the first set of infant-specific, fine-grained, surface-based cortical functional parcellation maps. To establish meaningful cortical functional correspondence across individuals, we performed cortical co-registration using both the cortical folding geometric features and the local gradient of functional connectivity (FC). Then we generated both age-related and age-independent cortical parcellation maps with over 800 fine-grained parcels during infancy based on aligned and averaged local gradient maps of FC across individuals. These parcellation maps reveal complex functional developmental patterns, such as changes in local gradient, network size, and local efficiency, especially during the first 9 postnatal months. Our generated fine-grained infant cortical functional parcellation maps are publicly available at https://www.nitrc.org/projects/infantsurfatlas/ for advancing the pediatric neuroimaging field.
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spelling pubmed-103932912023-08-02 Fine-grained functional parcellation maps of the infant cerebral cortex Wang, Fan Zhang, Han Wu, Zhengwang Hu, Dan Zhou, Zhen Girault, Jessica B Wang, Li Lin, Weili Li, Gang eLife Neuroscience Resting-state functional MRI (rs-fMRI) is widely used to examine the dynamic brain functional development of infants, but these studies typically require precise cortical parcellation maps, which cannot be directly borrowed from adult-based functional parcellation maps due to the substantial differences in functional brain organization between infants and adults. Creating infant-specific cortical parcellation maps is thus highly desired but remains challenging due to difficulties in acquiring and processing infant brain MRIs. In this study, we leveraged 1064 high-resolution longitudinal rs-fMRIs from 197 typically developing infants and toddlers from birth to 24 months who participated in the Baby Connectome Project to develop the first set of infant-specific, fine-grained, surface-based cortical functional parcellation maps. To establish meaningful cortical functional correspondence across individuals, we performed cortical co-registration using both the cortical folding geometric features and the local gradient of functional connectivity (FC). Then we generated both age-related and age-independent cortical parcellation maps with over 800 fine-grained parcels during infancy based on aligned and averaged local gradient maps of FC across individuals. These parcellation maps reveal complex functional developmental patterns, such as changes in local gradient, network size, and local efficiency, especially during the first 9 postnatal months. Our generated fine-grained infant cortical functional parcellation maps are publicly available at https://www.nitrc.org/projects/infantsurfatlas/ for advancing the pediatric neuroimaging field. eLife Sciences Publications, Ltd 2023-08-01 /pmc/articles/PMC10393291/ /pubmed/37526293 http://dx.doi.org/10.7554/eLife.75401 Text en © 2023, Wang et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Wang, Fan
Zhang, Han
Wu, Zhengwang
Hu, Dan
Zhou, Zhen
Girault, Jessica B
Wang, Li
Lin, Weili
Li, Gang
Fine-grained functional parcellation maps of the infant cerebral cortex
title Fine-grained functional parcellation maps of the infant cerebral cortex
title_full Fine-grained functional parcellation maps of the infant cerebral cortex
title_fullStr Fine-grained functional parcellation maps of the infant cerebral cortex
title_full_unstemmed Fine-grained functional parcellation maps of the infant cerebral cortex
title_short Fine-grained functional parcellation maps of the infant cerebral cortex
title_sort fine-grained functional parcellation maps of the infant cerebral cortex
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393291/
https://www.ncbi.nlm.nih.gov/pubmed/37526293
http://dx.doi.org/10.7554/eLife.75401
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