Journal
CEREBRAL CORTEX
Volume 28, Issue 2, Pages 738-749Publisher
OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhx308
Keywords
cortical gray matter volume; cortical surface area; cortical thickness; nonparametric combination
Categories
Funding
- Research Council of Norway [ES182663]
- Central Norway Regional Health Authority [46056610, 46039500]
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (Brazil) (CNPq) [211534/2013-7]
- Wellcome Trust [100309/Z/12/Z]
- NIH [R21AG050122-01A1, R41AG052246-01, 1K25EB013649-01]
- Norwegian National Advisory Unit for Functional MRI [96288]
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Cortical surface area is an increasingly used brain morphology metric that is ontogenetically and phylogenetically distinct from cortical thickness and offers a separate index of neurodevelopment and disease. However, the various existing methods for assessment of cortical surface area from magnetic resonance images have never been systematically compared. We show that the surface area method implemented in FreeSurfer corresponds closely to the exact, but computationally more demanding, mass-conservative (pycnophylactic) method, provided that images are smoothed. Thus, the data produced by this method can be interpreted as estimates of cortical surface area, as opposed to areal expansion. In addition, focusing on the joint analysis of thickness and area, we compare an improved, analytic method for measuring cortical volume to a permutation-based nonparametric combination (NPC) method. We use the methods to analyze area, thickness and volume in young adults born preterm with very low birth weight, and show that NPC analysis is a more sensitive option for studying joint effects on area and thickness, giving equal weight to variation in both of these 2 morphological features.
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