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

Bibliographic Details
Title: Trajectories of cortical surface area and cortical volume maturation in normal brain development
Authors: Simon Ducharme, Matthew D. Albaugh, Tuong-Vi Nguyen, James J. Hudziak, J.M. Mateos-Pérez, Aurelie Labbe, Alan C. Evans, Sherif Karama
Source: Data in Brief, Vol 5, Iss C, Pp 929-938 (2015)
Publisher Information: Elsevier, 2015.
Publication Year: 2015
Collection: LCC:Computer applications to medicine. Medical informatics
LCC:Science (General)
Subject Terms: Cortical surface area, Cortical volume, Magnetic resonance, imaging, Brain development, Cortical thickness, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
More Details: 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].
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2352-3409
Relation: http://www.sciencedirect.com/science/article/pii/S2352340915002929; https://doaj.org/toc/2352-3409
DOI: 10.1016/j.dib.2015.10.044
Access URL: https://doaj.org/article/2b83d7451716494f9a3144c6215334c9
Accession Number: edsdoj.2b83d7451716494f9a3144c6215334c9
Database: Directory of Open Access Journals
More Details
ISSN:23523409
DOI:10.1016/j.dib.2015.10.044
Published in:Data in Brief
Language:English