Back to Search Start Over

The genetic organization of longitudinal subcortical volumetric change is stable throughout the lifespan

Authors :
Anders Martin Fjell
Hakon Grydeland
Yunpeng Wang
Inge K Amlien
David Bartres-Faz
Andreas M Brandmaier
Sandra Düzel
Jeremy Elman
Carol E Franz
Asta K Håberg
Tim C Kietzmann
Rogier Andrew Kievit
William S Kremen
Stine K Krogsrud
Simone Kühn
Ulman Lindenberger
Didac Macía
Athanasia Monika Mowinckel
Lars Nyberg
Matthew S Panizzon
Cristina Solé-Padullés
Øystein Sørensen
Rene Westerhausen
Kristine Beate Walhovd
Source :
eLife, Vol 10 (2021)
Publication Year :
2021
Publisher :
eLife Sciences Publications Ltd, 2021.

Abstract

Development and aging of the cerebral cortex show similar topographic organization and are governed by the same genes. It is unclear whether the same is true for subcortical regions, which follow fundamentally different ontogenetic and phylogenetic principles. We tested the hypothesis that genetically governed neurodevelopmental processes can be traced throughout life by assessing to which degree brain regions that develop together continue to change together through life. Analyzing over 6000 longitudinal MRIs of the brain, we used graph theory to identify five clusters of coordinated development, indexed as patterns of correlated volumetric change in brain structures. The clusters tended to follow placement along the cranial axis in embryonic brain development, suggesting continuity from prenatal stages, and correlated with cognition. Across independent longitudinal datasets, we demonstrated that developmental clusters were conserved through life. Twin-based genetic correlations revealed distinct sets of genes governing change in each cluster. Single-nucleotide polymorphisms-based analyses of 38,127 cross-sectional MRIs showed a similar pattern of genetic volume–volume correlations. In conclusion, coordination of subcortical change adheres to fundamental principles of lifespan continuity and genetic organization.

Details

Language :
English
ISSN :
2050084X
Volume :
10
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.0a0b99822e2f4f0eb503cf18eb80b97e
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.66466