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Data Brief. 2015 Nov 10;5:929-38. doi: 10.1016/j.dib.2015.10.044. eCollection 2015 Dec.

Trajectories of cortical surface area and cortical volume maturation in normal brain development.

Author information

1
Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4 ; McGill University Health Centre, Department of Psychiatry, McGill University, 1025 Pine Avenue West, Montreal, QC, Canada H3A 1A1.
2
Vermont Centre for Children, Youth and Families, Fletcher Allen Pediatric Psychiatry, University of Vermont, 1 South Prospect Street, Arnold, Level 3, Burlington, VT, USA.
3
McGill University Health Centre, Department of Psychiatry, McGill University, 1025 Pine Avenue West, Montreal, QC, Canada H3A 1A1 ; McGill University Health Centre, Department of Obstetrics and Gynecology, McGill University, 1025 Pine Avenue West, Montreal, QC, Canada H3A 1A1.
4
Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4.
5
Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 Lasalle Boulevard, Verdun, QC, Canada H4H 1R3 ; Douglas Mental Health University Institute, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 6875 Lasalle Boulevard, Verdun, QC, Canada H4H 1R3.
6
Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4 ; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 Lasalle Boulevard, Verdun, QC, Canada H4H 1R3.

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].

KEYWORDS:

Brain development; Cortical surface area; Cortical thickness; Cortical volume; Magnetic resonance; imaging

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