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Functional parcellation of the neonatal brain
The cerebral cortex is organized into distinct but interconnected cortical areas, which can be defined by abrupt differences in patterns of resting state functional connectivity (FC) across the cortical surface. Such parcellations of the cortex have been derived in adults and older infants, but ther...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659431/ https://www.ncbi.nlm.nih.gov/pubmed/37986902 http://dx.doi.org/10.1101/2023.11.10.566629 |
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author | Myers, Michael J. Labonte, Alyssa K. Gordon, Evan M. Laumann, Timothy O. Tu, Jiaxin Cindy Wheelock, Muriah D. Nielsen, Ashley N. Schwarzlose, Rebecca Camacho, M. Catalina Warner, Barbara B. Raghuraman, Nandini Luby, Joan L. Barch, Deanna M. Fair, Damien A. Petersen, Steven E. Rogers, Cynthia E. Smyser, Christopher D. Sylvester, Chad M. |
author_facet | Myers, Michael J. Labonte, Alyssa K. Gordon, Evan M. Laumann, Timothy O. Tu, Jiaxin Cindy Wheelock, Muriah D. Nielsen, Ashley N. Schwarzlose, Rebecca Camacho, M. Catalina Warner, Barbara B. Raghuraman, Nandini Luby, Joan L. Barch, Deanna M. Fair, Damien A. Petersen, Steven E. Rogers, Cynthia E. Smyser, Christopher D. Sylvester, Chad M. |
author_sort | Myers, Michael J. |
collection | PubMed |
description | The cerebral cortex is organized into distinct but interconnected cortical areas, which can be defined by abrupt differences in patterns of resting state functional connectivity (FC) across the cortical surface. Such parcellations of the cortex have been derived in adults and older infants, but there is no widely used surface parcellation available for the neonatal brain. Here, we first demonstrate that adult- and older infant-derived parcels are a poor fit with neonatal data, emphasizing the need for neonatal-specific parcels. We next derive a set of 283 cortical surface parcels from a sample of n=261 neonates. These parcels have highly homogenous FC patterns and are validated using three external neonatal datasets. The Infomap algorithm is used to assign functional network identities to each parcel, and derived networks are consistent with prior work in neonates. The proposed parcellation may represent neonatal cortical areas and provides a powerful tool for neonatal neuroimaging studies. |
format | Online Article Text |
id | pubmed-10659431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-106594312023-11-20 Functional parcellation of the neonatal brain Myers, Michael J. Labonte, Alyssa K. Gordon, Evan M. Laumann, Timothy O. Tu, Jiaxin Cindy Wheelock, Muriah D. Nielsen, Ashley N. Schwarzlose, Rebecca Camacho, M. Catalina Warner, Barbara B. Raghuraman, Nandini Luby, Joan L. Barch, Deanna M. Fair, Damien A. Petersen, Steven E. Rogers, Cynthia E. Smyser, Christopher D. Sylvester, Chad M. bioRxiv Article The cerebral cortex is organized into distinct but interconnected cortical areas, which can be defined by abrupt differences in patterns of resting state functional connectivity (FC) across the cortical surface. Such parcellations of the cortex have been derived in adults and older infants, but there is no widely used surface parcellation available for the neonatal brain. Here, we first demonstrate that adult- and older infant-derived parcels are a poor fit with neonatal data, emphasizing the need for neonatal-specific parcels. We next derive a set of 283 cortical surface parcels from a sample of n=261 neonates. These parcels have highly homogenous FC patterns and are validated using three external neonatal datasets. The Infomap algorithm is used to assign functional network identities to each parcel, and derived networks are consistent with prior work in neonates. The proposed parcellation may represent neonatal cortical areas and provides a powerful tool for neonatal neuroimaging studies. Cold Spring Harbor Laboratory 2023-11-11 /pmc/articles/PMC10659431/ /pubmed/37986902 http://dx.doi.org/10.1101/2023.11.10.566629 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Myers, Michael J. Labonte, Alyssa K. Gordon, Evan M. Laumann, Timothy O. Tu, Jiaxin Cindy Wheelock, Muriah D. Nielsen, Ashley N. Schwarzlose, Rebecca Camacho, M. Catalina Warner, Barbara B. Raghuraman, Nandini Luby, Joan L. Barch, Deanna M. Fair, Damien A. Petersen, Steven E. Rogers, Cynthia E. Smyser, Christopher D. Sylvester, Chad M. Functional parcellation of the neonatal brain |
title | Functional parcellation of the neonatal brain |
title_full | Functional parcellation of the neonatal brain |
title_fullStr | Functional parcellation of the neonatal brain |
title_full_unstemmed | Functional parcellation of the neonatal brain |
title_short | Functional parcellation of the neonatal brain |
title_sort | functional parcellation of the neonatal brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659431/ https://www.ncbi.nlm.nih.gov/pubmed/37986902 http://dx.doi.org/10.1101/2023.11.10.566629 |
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