Mapping Genetic Topography of Cortical Thickness and Surface Area in Neonatal Brains.
cortical thickness
genetic topography
neonates
surface area
Journal
The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140
Informations de publication
Date de publication:
23 08 2023
23 08 2023
Historique:
received:
26
09
2022
revised:
05
06
2023
accepted:
10
06
2023
pmc-release:
23
02
2024
medline:
25
8
2023
pubmed:
28
6
2023
entrez:
27
6
2023
Statut:
ppublish
Résumé
Adult twin neuroimaging studies have revealed that cortical thickness (CT) and surface area (SA) are differentially influenced by genetic information, leading to their spatially distinct genetic patterning and topography. However, the postnatal origins of the genetic topography of CT and SA remain unclear, given the dramatic cortical development from neonates to adults. To fill this critical gap, this study unprecedentedly explored how genetic information differentially regulates the spatial topography of CT and SA in the neonatal brain by leveraging brain magnetic resonance (MR) images from 202 twin neonates with minimal influence by the complicated postnatal environmental factors. We capitalized on infant-dedicated computational tools and a data-driven spectral clustering method to parcellate the cerebral cortex into a set of distinct regions purely according to the genetic correlation of cortical vertices in terms of CT and SA, respectively, and accordingly created the first genetically informed cortical parcellation maps of neonatal brains. Both genetic parcellation maps exhibit bilaterally symmetric and hierarchical patterns, but distinct spatial layouts. For CT, regions with closer genetic relationships demonstrate an anterior-posterior (A-P) division, while for SA, regions with greater genetic proximity are typically within the same lobe. Certain genetically informed regions exhibit strong similarities between neonates and adults, with the most striking similarities in the medial surface in terms of SA, despite their overall substantial differences in genetic parcellation maps. These results greatly advance our understanding of the development of genetic influences on the spatial patterning of cortical morphology.
Identifiants
pubmed: 37369585
pii: JNEUROSCI.1841-22.2023
doi: 10.1523/JNEUROSCI.1841-22.2023
pmc: PMC10451118
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
6010-6020Informations de copyright
Copyright © 2023 the authors.
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