Back

Genetic insights on the mechanisms of human cortical folding

Snyder, W. E.; Shafee, R.; Liu, S.; Levitis, E.; Duan, K.; Kumar, K. E.; Schleifer, C. H.; Boen, R.; Ching, C. R.; Han, J. C.; Lee, N.; Mulle, J. G.; Shultz, S.; Jacquemont, S.; Bearden, C. E.; Vertes, P. E.; Bullmore, E. T.; Raznahan, A.

2026-03-09 neuroscience
10.64898/2026.03.06.709690 bioRxiv
Show abstract

The unique and intricate pattern of human cortical folding is rooted in fetal neurodevelopmental processes and can now be comprehensively quantified by new neuroimaging-derived measures of sulcal complexity. Here, we provide the first genetic maps of human sulcal complexity. Beginning with large effects of rare variants, we survey nine different neurogenetic syndromes (n=615), detecting visible changes in sulcal complexity on a shared axis of sulcal change coupled to the prenatal timing of sulcation. Turning to common genetic variants, we use genome-wide association studies of complexity scores for 40 sulci in the UK Biobank (n[~]29,000) to (i) resolve variable heritability across sulci, (ii) reveal both local and remote shared genetic effects with cortical morphology, and (iii) identify complexity-associated genes and their embedding in brain maps of prenatal gene expression. These reference genetic maps uncover multiple new mechanistic pathways for cortical morphogenesis in health and disease.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.