Mapping growth patterns and genetic influences on early brain development in twins.

Yasheng Chen, Hongtu Zhu, Dinggang Shen, Hongyu An, John Gilmore, Weili Lin

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

Despite substantial progress in understanding the anatomical and functional development of the human brain, little is known on the spatial-temporal patterns and genetic influences on white matter maturation in twins. Neuroimaging data acquired from longitudinal twin studies provide a unique platform for scientists to investigate such issues. However, the interpretation of neuroimaging data from longitudinal twin studies is hindered by the lacking of appropriate image processing and statistical tools. In this study, we developed a statistical framework for analyzing longitudinal twin neuroimaging data, which is consisted of generalized estimating equation (GEE2) and a test procedure. The GEE2 method can jointly model imaging measures with genetic effect, environmental effect, and behavioral and clinical variables. The score test statistic is used to test linear hypothesis such as the association between brain structure and function with the covariates of interest. A resampling method is used to control the family-wise error rate to adjust for multiple comparisons. With diffusion tensor imaging (DTI), we demonstrate the application of our statistical methods in quantifying the spatiotemporal white matter maturation patterns and in detecting the genetic effects in a longitudinal neonatal twin study. The proposed approach can be easily applied to longitudinal twin data with multiple outcomes and accommodate incomplete and unbalanced data, i.e., subjects with different number of measurements.

Original languageEnglish
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages232-239
Number of pages8
Volume12
EditionPt 2
Publication statusPublished - 2009 Dec 1

Fingerprint

Twin Studies
Neuroimaging
Brain
Growth
Longitudinal Studies
Diffusion Tensor Imaging
Human Development
White Matter

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Chen, Y., Zhu, H., Shen, D., An, H., Gilmore, J., & Lin, W. (2009). Mapping growth patterns and genetic influences on early brain development in twins. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 2 ed., Vol. 12, pp. 232-239)

Mapping growth patterns and genetic influences on early brain development in twins. / Chen, Yasheng; Zhu, Hongtu; Shen, Dinggang; An, Hongyu; Gilmore, John; Lin, Weili.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 12 Pt 2. ed. 2009. p. 232-239.

Research output: Chapter in Book/Report/Conference proceedingChapter

Chen, Y, Zhu, H, Shen, D, An, H, Gilmore, J & Lin, W 2009, Mapping growth patterns and genetic influences on early brain development in twins. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 2 edn, vol. 12, pp. 232-239.
Chen Y, Zhu H, Shen D, An H, Gilmore J, Lin W. Mapping growth patterns and genetic influences on early brain development in twins. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 2 ed. Vol. 12. 2009. p. 232-239
Chen, Yasheng ; Zhu, Hongtu ; Shen, Dinggang ; An, Hongyu ; Gilmore, John ; Lin, Weili. / Mapping growth patterns and genetic influences on early brain development in twins. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 12 Pt 2. ed. 2009. pp. 232-239
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