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Chunk #31 — Results — Normative aging effects

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Cortical profiles of numerous psychiatric disorders and normal development share a common pattern.
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Figure 2A shows the changes in CT from longitudinal analyses within late childhood and from adolescence to young adulthood (detailed statistics are provided in Table S4). Similar cross-sectional patterns of age-related changes in CT are shown for ages 3–90 in Figure 2B. As shown in Figure 2C, the spatial pattern of Combined-PC1 was significantly correlated with normative aging effects for both the longitudinal and cross-sectional data. Combined-PC1 correlated with the association map between age and CT calculated across the full lifespan (3–90 years) and, separately, for the early (3–29 years), middle (30–59 years) and late (60–90 years) developmental stages. The correlation coefficients and p values for the correlation analysis are shown in Table S5. The sensitivity analysis indicated that maturation effects observed in the IMAGEN data (r=-0.46, p-spin=0.037) remained correlated with the Combined-PC1 derived from the data without the IMAGEN-T2 data.