Heritability analysis of surface-based cortical thickness estimation on a large twin cohort

Shen, Kaikai, Doré, Vincent, Rose, Stephen, Fripp, Jurgen, McMahon, Katie L., de Zubicaray, Greig I., Martin, Nicholas G., Thompson, Paul M., Wright, Margaret J., & Salvado, Olivier (2015) Heritability analysis of surface-based cortical thickness estimation on a large twin cohort. In Styner, M.A. & Ourselin, S. (Eds.) Medical Imaging 2015: Image Processing, Orlando, Florida, Article Number-94131Z.

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Abstract

The aim of this paper is to assess the heritability of cerebral cortex, based on measurements of grey matter (GM) thickness derived from structural MR images (sMRI). With data acquired from a large twin cohort (328 subjects), an automated method was used to estimate the cortical thickness, and EM-ICP surface registration algorithm was used to establish the correspondence of cortex across the population. An ACE model was then employed to compute the heritability of cortical thickness. Heritable cortical thickness measures various cortical regions, especially in frontal and parietal lobes, such as bilateral postcentral gyri, superior occipital gyri, superior parietal gyri, precuneus, the orbital part of the right frontal gyrus, right medial superior frontal gyrus, right middle occipital gyrus, right paracentral lobule, left precentral gyrus, and left dorsolateral superior frontal gyrus.

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ID Code: 94875
Item Type: Conference Paper
Refereed: Yes
Keywords: imaging genetics, structural MRI, heritability, cortical thickness analysis, gray matter
DOI: 10.1117/12.2081677
ISSN: 0277-786X
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Copyright Owner: Copyright 2015 SPIE
Deposited On: 15 Apr 2016 01:53
Last Modified: 17 Apr 2016 22:06

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