Multivariate longitudinal statistics for neonatal-pediatric brain tissue development

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Publication Type pre-print
School or College <blank>
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Creator Gerig, Guido
Other Author Xu, Shun.; Styner, Martin; Gilmore, John H.
Title Multivariate longitudinal statistics for neonatal-pediatric brain tissue development
Date 2008-01-01
Description The topic of studying the growth of human brain development has become of increasing interest in the neuroimaging community. Cross-sectional studies may allow comparisons between means of different age groups, but they do not provide a growth model that integrates the continuum of time, nor do they present any information about how individuals/population change over time. Longitudinal data analysis method arises as a strong tool to address these questions. In this paper, we use longitudinal analysis methods to study tissue development in early brain growth. A novel approach of multivariate longitudinal analysis is applied to study the associations between the growth of different brain tissues. In this paper, we present the methodologies to statistically study scalar (univariate) and vector (multivariate) longitudinal data, and demonstrate exploratory results in a neuroimaging study of early brain tissue development. We obtained growth curves as a quadratic function of time for all three tissues. The quadratic terms were tested to be statistically significant, showing that there was indeed a quadratic growth of tissues in early brain development. Moreover, our result shows that there is a positive correlation between repeated measurements of any single tissue, and among those of different tissues. Our approach is generic in natural and thus can be applied to any longitudinal data with multiple outcomes, even brain structures. Also, our joint mixed model is flexible enough to allow incomplete and unbalanced data, i.e. subjects do not need to have the same number of measurements, or be measured at the exact time points.
Type Text
Publisher International Society for Optical Engineering (SPIE)
Volume 6914
First Page 69140C-1
Last Page 69140C-11
Language eng
Bibliographic Citation Xu, S., Styner, M., Gilmore, J. H., & Gerig, G. (2008). Multivariate longitudinal statistics for neonatal-pediatric brain tissue development. Proceedings of SPIE Medical Imaging 2008, 6914, 69140C-1-69140C-11.
Rights Management (c)Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/doi: 10.1117/12.773966.
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Identifier uspace,19240
ARK ark:/87278/s66m6h02
Setname ir_uspace
Date Created 2015-01-30
Date Modified 2015-01-30
ID 712787
Reference URL https://collections.lib.utah.edu/ark:/87278/s66m6h02
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