Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity.

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TitleDevelopment of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity.
Publication TypeJournal Article
Year of Publication2016
AuthorsKim, SHyung, Lyu, I, Fonov, VS, Vachet, C, Hazlett, HC, Smith, RG, Piven, J, Dager, SR, Mckinstry, RC, Pruett, JR, Evans, AC, D Collins, L, Botteron, KN, Schultz, RT, Gerig, G, Styner, MA
Corporate AuthorsIBIS Network
JournalNeuroimage
Volume135
Pagination163-76
Date Published2016 07 15
ISSN1095-9572
KeywordsAging, Algorithms, Cerebral Cortex, Child, Preschool, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Infant, Magnetic Resonance Imaging, Male, Pattern Recognition, Automated, Sensitivity and Specificity, Subtraction Technique
Abstract

The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6months of age and were reduced at 24months, with the difference pattern switching from higher complexity in males at 6months to higher complexity in females at 24months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.

DOI10.1016/j.neuroimage.2016.04.053
Alternate JournalNeuroimage
PubMed ID27150231
PubMed Central IDPMC4915970
Grant ListR01 MH093510 / MH / NIMH NIH HHS / United States
U54 HD087011 / HD / NICHD NIH HHS / United States
U54 HD079124 / HD / NICHD NIH HHS / United States
T32 HD040127 / HD / NICHD NIH HHS / United States
U54 HD086984 / HD / NICHD NIH HHS / United States
R01 HD059854 / HD / NICHD NIH HHS / United States
R01 HD055741 / HD / NICHD NIH HHS / United States
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