Sulcal Widening in Schizophrenia Maps onto Sulcal Hubs and Energy-Synaptic Genes

  • Javier González-Peñas
  • , Hugo G Schnack
  • , Carmen Rueda Hernández
  • , Covadonga M Díaz-Caneja
  • , Celia de la Fuente Montero
  • , Marta Martín Echave
  • , Alberto Mora
  • , Niels Janssen
  • , Pedro M Gordaliza
  • , Alberto Fernández-Pena
  • , Daniel Martín de Blas
  • , Susana Carmona
  • , Wiepke Cahn
  • , Neeltje E M van Haren
  • , René S Kahn
  • , Hilleke Hulshoff Pol
  • , Celso Arango
  • , Yasser Alemán-Gómez
  • , Joost Janssen*
  • *Corresponding author for this work

Research output: Working paperPreprintAcademic

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Abstract

Schizophrenia (SZ) is increasingly framed as a disorder of large-scale brain networks emerging from atypical early neurodevelopment, yet how network architecture relates to cortical folding abnormalities remains unclear. Here, we introduce a sulcal morphological-centred network framework that integrates normative modelling of sulcal width with diffusion-derived structural connectivity and transcriptomic data in a large multisite cohort (n = 5,392; 377 SZ). Individuals with SZ showed widespread sulcal widening, affecting 30 of 40 sulci and most pronounced in frontal, temporal and occipital regions. Critically, sulci with higher degree centrality, reflecting greater embedding within the structural connectome, exhibited disproportionately greater widening in SZ ( p spin = 0.02), indicating that network hubs of cortical folding are preferentially affected. Transcriptomic integration using partial least squares regression identified a single component explaining 56.5% of SZ-related sulcal widening variance ( p perm = 0.041), implicating genes enriched for synaptic signalling and energy metabolism with adult cortical expression bias and genetic enrichment for cross-disorder psychiatric risk. In contrast, oppositely weighted genes showed prenatal expression bias and enrichment for rare disruptive variants in autism spectrum disorder. Together, these findings link aberrant sulcal morphology in SZ to the brain's network topology and molecular architecture, positioning cortical folding as a network-embedded phenotype in SZ.

Original languageEnglish
PublisherBioRxiv
Number of pages56
DOIs
Publication statusPublished - 9 Jan 2026

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