A cross-sectional and longitudinal study of human brain development: The integration of cortical thickness, surface area, gyrification index, and cortical curvature into a unified analytical framework

• DOI: 10.1016/j.neuroimage.2023.119885
• Publication Date: 2023-01-16T16:47:06Z
• Authors: Hadis Kalantar-Ho...; Raihaan Patel; Alyssa Dai; Justine Ziolkowski; Hao-Ming Dong; Avram Holmes; Armin Raznahan; Gabriel A. Devenyi; M. Mallar Chakrav...
• Keywords: Gyrification; Human brain

Brain maturation studies typically examine relationships linking a single morphometric feature with cognition, behavior, age, or other demographic characteristics. However, the coordinated spatiotemporal arrangement of morphological features across development and their associations behavior are unclear. Here, we covariation multiple cortical (cortical thickness [CT], surface area [SA], local gyrification index [GI], mean curvature [MC]) using magnetic resonance images from NIMH developmental cohort (ages 5-25). Neuroanatomical covariance was examined non-negative matrix factorization (NMF), which decomposes resulting in parts-based representation. Cross-sectionally, identified six components demonstrate differential contributions CT, GI, SA hetero- vs. unimodal areas. Using this technique to rates change identify longitudinal sources highlighted preserved areas changes CT GI heteromodal behavioral partial least squares (PLS), latent variable (LV) that recapitulated patterns reduced related older limited IQ SES. Longitudinally, PLS revealed three LVs demonstrated nuanced pattern higher rate maturational SES females. Finally, situated changing architecture gradients. This novel characterization brain provides an important understanding interdependencies between measures, development, relationship biological sex, cognitive ability, resources environment.