Title | A longitudinal functional analysis framework for analysis of white matter tract statistics. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Yuan, Ying, John H. Gilmore, Xiujuan Geng, Martin A. Styner, Kehui Chen, Jane-ling Wang, and Hongtu Zhu |
Journal | Inf Process Med Imaging |
Volume | 23 |
Pagination | 220-31 |
Date Published | 2013 |
ISSN | 1011-2499 |
Keywords | Algorithms, Brain, Computer Simulation, Data Interpretation, Statistical, Diffusion Tensor Imaging, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Infant, Newborn, Longitudinal Studies, Male, Models, Anatomic, Models, Neurological, Models, Statistical, Nerve Fibers, Myelinated, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity |
Abstract | Many longitudinal imaging studies have been/are being widely conducted to use diffusion tensor imaging (DTI) to better understand white matter maturation in normal controls and diseased subjects. There is an urgent demand for the development of statistical methods for analyzing diffusion properties along major fiber tracts obtained from longitudinal DTI studies. Jointly analyzing fiber-tract diffusion properties and covariates from longitudinal studies raises several major challenges including (i) infinite-dimensional functional response data, (ii) complex spatial-temporal correlation structure, and (iii) complex spatial smoothness. To address these challenges, this article is to develop a longitudinal functional analysis framework (LFAF) to delineate the dynamic changes of diffusion properties along major fiber tracts and their association with a set of covariates of interest (e.g., age and group status) and the structure of the variability of these white matter tract properties in various longitudinal studies. Our LFAF consists of a functional mixed effects model for addressing all three challenges, an efficient method for spatially smoothing varying coefficient functions, an estimation method for estimating the spatial-temporal correlation structure, a test procedure with a global test statistic for testing hypotheses of interest associated with functional response, and a simultaneous confidence band for quantifying the uncertainty in the estimated coefficient functions. Simulated data are used to evaluate the finite sample performance of LFAF and to demonstrate that LFAF significantly outperforms a voxel-wise mixed model method. We apply LFAF to study the spatial-temporal dynamics of white-matter fiber tracts in a clinical study of neurodevelopment. |
DOI | 10.1007/978-3-642-38868-2_19 |
Alternate Journal | Inf Process Med Imaging |
Original Publication | A longitudinal functional analysis framework for analysis of white matter tract statistics. |
PubMed ID | 24683971 |
PubMed Central ID | PMC3974206 |
Grant List | P41 RR005959 / RR / NCRR NIH HHS / United States HD053000 / HD / NICHD NIH HHS / United States R41 NS059095 / NS / NINDS NIH HHS / United States P01CA142538-01 / CA / NCI NIH HHS / United States R01 MH086633 / MH / NIMH NIH HHS / United States P50 MH064065 / MH / NIMH NIH HHS / United States RR025747-01 / RR / NCRR NIH HHS / United States R01 ES017240 / ES / NIEHS NIH HHS / United States P30 HD003110 / HD / NICHD NIH HHS / United States P41 RR013642 / RR / NCRR NIH HHS / United States R01 MH070890 / MH / NIMH NIH HHS / United States R01 HD053000 / HD / NICHD NIH HHS / United States U01 MH070890 / MH / NIMH NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States R21 AG033387 / AG / NIA NIH HHS / United States T32 MH019111 / MH / NIMH NIH HHS / United States R01 MH060352 / MH / NIMH NIH HHS / United States MH070890 / MH / NIMH NIH HHS / United States R42 NS059095 / NS / NINDS NIH HHS / United States R01ES17240 / ES / NIEHS NIH HHS / United States AS1499 / / Autism Speaks / United States P01 DA022446 / DA / NIDA NIH HHS / United States U54 EB005149 / EB / NIBIB NIH HHS / United States P30 HD03110 / HD / NICHD NIH HHS / United States MH086633 / MH / NIMH NIH HHS / United States R01 MH091645 / MH / NIMH NIH HHS / United States UL1 RR025747 / RR / NCRR NIH HHS / United States MH091645 / MH / NIMH NIH HHS / United States MH064065 / MH / NIMH NIH HHS / United States |
A longitudinal functional analysis framework for analysis of white matter tract statistics.
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