Abstract
This is a report of developmental trajectories of cortical surface area and cortical volume in the NIH MRI Study of Normal Brain Development. The quality-controlled sample included 384 individual typically-developing subjects with repeated scanning (1–3 per subject, total scans n=753) from 4.9 to 22.3 years of age. The best-fit model (cubic, quadratic, or first-order linear) was identified at each vertex using mixed-effects models, with statistical correction for multiple comparisons using random field theory. Analyses were performed with and without controlling for total brain volume. These data are provided for reference and comparison with other databases. Further discussion and interpretation on cortical developmental trajectories can be found in the associated Ducharme et al.׳s article “Trajectories of cortical thickness maturation in normal brain development – the importance of quality control procedures” (Ducharme et al., 2015) [1].
Highlights
Each subject's absolute native-space local cortical surface area and cortical volume was linearly regressed against age in years at each cortical point using mixed-effects models
Since cortical surface area (CSA) is strongly linked to total brain volume (TBV), analyses including TBV as a control variable are important to determine relative remodeling over time
These analyses revealed that the great majority of the brain showed no change in CSA between 4.9 and 22.3 years of age (Fig. 3)
Summary
Figures and description of anatomical findings All subjects underwent extensive cognitive, neuropsychological and behavioral testing along with up to three MRI brain scans (3D T1-weighted) at two-year intervals. Each subject's absolute native-space local cortical surface area and cortical volume was linearly regressed against age in years at each cortical point using mixed-effects models (diagonal structure). Analyses were performed with and without controlling for total brain volume. Data provide a comprehensive vertex-wide description of cortical surface area and cortical volume developmental trajectories in a large sample of healthy children, using only quality controlled data. The provided figures and descriptions can be used to compare developmental trajectories with other private and public databases. Data on developmental trajectories for cortical surface area (CSA) and cortical volume (CV) are sequentially presented using a figure format
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