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Imaging local genetic influences on cortical folding.
- Source :
-
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2020 Mar 31; Vol. 117 (13), pp. 7430-7436. Date of Electronic Publication: 2020 Mar 13. - Publication Year :
- 2020
-
Abstract
- Recent progress in deciphering mechanisms of human brain cortical folding leave unexplained whether spatially patterned genetic influences contribute to this folding. High-resolution in vivo brain MRI can be used to estimate genetic correlations (covariability due to shared genetic factors) in interregional cortical thickness, and biomechanical studies predict an influence of cortical thickness on folding patterns. However, progress has been hampered because shared genetic influences related to folding patterns likely operate at a scale that is much more local (<1 cm) than that addressed in prior imaging studies. Here, we develop methodological approaches to examine local genetic influences on cortical thickness and apply these methods to two large, independent samples. We find that such influences are markedly heterogeneous in strength, and in some cortical areas are notably stronger in specific orientations relative to gyri or sulci. The overall, phenotypic local correlation has a significant basis in shared genetic factors and is highly symmetric between left and right cortical hemispheres. Furthermore, the degree of local cortical folding relates systematically with the strength of local correlations, which tends to be higher in gyral crests and lower in sulcal fundi. The relationship between folding and local correlations is stronger in primary sensorimotor areas and weaker in association areas such as prefrontal cortex, consistent with reduced genetic constraints on the structural topology of association cortex. Collectively, our results suggest that patterned genetic influences on cortical thickness, measurable at the scale of in vivo MRI, may be a causal factor in the development of cortical folding.<br />Competing Interests: The authors declare no competing interest.<br /> (Copyright © 2020 the Author(s). Published by PNAS.)
- Subjects :
- Adult
Aged
Aged, 80 and over
Brain embryology
Brain growth & development
Cerebral Cortex metabolism
Databases, Factual
Female
Humans
Magnetic Resonance Imaging methods
Male
Middle Aged
Prefrontal Cortex anatomy & histology
Cerebral Cortex anatomy & histology
Cerebral Cortex growth & development
Prefrontal Cortex growth & development
Subjects
Details
- Language :
- English
- ISSN :
- 1091-6490
- Volume :
- 117
- Issue :
- 13
- Database :
- MEDLINE
- Journal :
- Proceedings of the National Academy of Sciences of the United States of America
- Publication Type :
- Academic Journal
- Accession number :
- 32170019
- Full Text :
- https://doi.org/10.1073/pnas.1912064117