A tensor-based morphometry study of genetic influences on brain structure using a new fluid registration method

Brun, Caroline, Leporé, Natasha, Pennec, Xavier, Chou, Yi-Yu, Lee, Agatha D., Barysheva, Marina, de Zubicaray, Greig, Meredith, Matthew, McMahon, Katie, Wright, Margaret J., Toga, Arthur W., & Thompson, Paul M. (2008) A tensor-based morphometry study of genetic influences on brain structure using a new fluid registration method. In Metaxas, Dimitris, Axel, Leon, Fichtinger, Gabor, & Szekely, Gabor (Eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008, Springer Berlin Heidelberg, New York, NY, USA, pp. 914-921.

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We incorporated a new Riemannian fluid registration algorithm into a general MRI analysis method called tensor-based morphometry to map the heritability of brain morphology in MR images from 23 monozygotic and 23 dizygotic twin pairs. All 92 3D scans were fluidly registered to a common template. Voxelwise Jacobian determinants were computed from the deformation fields to assess local volumetric differences across subjects. Heritability maps were computed from the intraclass correlations and their significance was assessed using voxelwise permutation tests. Lobar volume heritability was also studied using the ACE genetic model. The performance of this Riemannian algorithm was compared to a more standard fluid registration algorithm: 3D maps from both registration techniques displayed similar heritability patterns throughout the brain. Power improvements were quantified by comparing the cumulative distribution functions of the p-values generated from both competing methods. The Riemannian algorithm outperformed the standard fluid registration.

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16 citations in Scopus
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6 citations in Web of Science®

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ID Code: 85688
Item Type: Conference Paper
Refereed: Yes
Additional Information: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II
DOI: 10.1007/978-3-540-85990-1_110
ISBN: 9783540859901
ISSN: 0302-9743
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2008 Springer-Verlag Berlin Heidelberg
Deposited On: 19 Aug 2015 03:08
Last Modified: 20 Aug 2015 02:47

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