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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...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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
Descripción
Sumario: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.