A subset of brain regions within adult functional connectivity networks demonstrate high reliability across early development.

Autor:	Tu JC; Department of Radiology, Washington University in St. Louis., Wang Y; Department of Mathematics and Statistics, Washington University in St. Louis., Wang X; Department of Radiology, Washington University in St. Louis., Dierker D; Department of Radiology, Washington University in St. Louis., Sobolewski CM; Department of Radiology, Washington University in St. Louis.; Department of Psychology, Virginia Commonwealth University., Day TKM; Masonic Institute for the Developing Brain, University of Minnesota.; Institute of Child Development, University of Minnesota.; Center for Brain Plasticity and Recovery, Georgetown University., Kardan O; Department of Psychiatry, University of Michigan., Miranda-Domínguez Ó; Masonic Institute for the Developing Brain, University of Minnesota., Moore LA; Masonic Institute for the Developing Brain, University of Minnesota., Elison JT; Masonic Institute for the Developing Brain, University of Minnesota.; Institute of Child Development, University of Minnesota., Gordon EM; Department of Radiology, Washington University in St. Louis., Laumann TO; Department of Radiology, Washington University in St. Louis., Eggebrecht AT; Department of Radiology, Washington University in St. Louis., Wheelock MD; Department of Radiology, Washington University in St. Louis.
Jazyk:	angličtina
Zdroj:	BioRxiv : the preprint server for biology [bioRxiv] 2024 Jul 31. Date of Electronic Publication: 2024 Jul 31.
DOI:	10.1101/2024.07.31.606025
Abstrakt:	The human cerebral cortex contains groups of areas that support sensory, motor, cognitive, and affective functions, often categorized as functional networks. These areas show stronger internal and weaker external functional connectivity (FC) and exhibit similar FC profiles within rather than between networks. Previous studies have demonstrated the development of these networks from nascent forms present before birth to their mature, adult-like topography in childhood. However, analyses often still use definitions based on adult functional networks. We aim to assess how this might lead to the misidentification of functional networks and explore potential consequences and solutions. Our findings suggest that even though adult networks provide only a marginally better than-chance description of the infant FC organization, misidentification was largely driven by specific areas. By restricting functional networks to areas showing adult-like network clustering, we observed consistent within-network FC both within and across scans and throughout development. Additionally, these areas were spatially closer to locations with low variability in network identity among adults. Our analysis aids in understanding the potential consequences of using adult networks "as is" and provides guidance for future research on selecting and utilizing functional network models based on the research question and scenario. Competing Interests: Declaration of Competing Interests The authors declared that they have no competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Databáze:	MEDLINE
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