Towards a Better Understanding of the Genetics of the Human Cortical Folding

The folding of the human cerebral cortex, partly influenced by genetics, allows a large cortex surface area to fit efficiently within the limited skull space. Understanding folding shapes is limited given their wide variability, and identifying them is difficult. Here, we report the first genomic association study on a comprehensive representation of folding patterns. Via a multivariate statistical test applied to latent spaces generated by contrastive learning on 18,118 UKBioBank subjects (mean age, 62.5 years; 47.0% male), we identified in the orbitofrontal cortical region (OFC), respectively in the left and the right hemispheres, 15 and 11 loci (p < 5 × 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−8</sup>), 11 and 5 genes (p < 2 × 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−6</sup>) related to brain folding. Finally, we introduce a method for interpreting genetic associations in terms of folding shapes. These findings pave the way for future research to map cortical folding patterns to genetic factors.

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Published
2025-04-14
DOI
https://doi.org/10.1109/isbi60581.2025.10980983
Citations
1
Primary Topic
Cognitive and developmental aspects of mathematical skills
Type
article
Field-Weighted Citation Impact
2.63

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article

Towards a Better Understanding of the Genetics of the Human Cortical Folding

Jean‐François Mangin, Joël Chavas, Denis Rivière, Vincent Frouin et al.
1 citations
Cognitive and developmental aspects of mathematical skills
2.63
article

Towards a Better Understanding of the Genetics of the Human Cortical Folding

Jean‐François Mangin, Joël Chavas, Denis Rivière, Vincent Frouin, Julien Laval, Antoine Dufournet
article en
1 citations

Abstract

The folding of the human cerebral cortex, partly influenced by genetics, allows a large cortex surface area to fit efficiently within the limited skull space. Understanding folding shapes is limited given their wide variability, and identifying them is difficult. Here, we report the first genomic association study on a comprehensive representation of folding patterns. Via a multivariate statistical test applied to latent spaces generated by contrastive learning on 18,118 UKBioBank subjects (mean age, 62.5 years; 47.0% male), we identified in the orbitofrontal cortical region (OFC), respectively in the left and the right hemispheres, 15 and 11 loci (p < 5 × 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−8</sup>), 11 and 5 genes (p < 2 × 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−6</sup>) related to brain folding. Finally, we introduce a method for interpreting genetic associations in terms of folding shapes. These findings pave the way for future research to map cortical folding patterns to genetic factors.

Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), CEA Paris-Saclay (FR)
Horizon 2020
Openalex Percentile: Top 12%
Cognitive and developmental aspects of mathematical skills
2.63
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