Two-stage multiscale adaptive regression methods for twin neuroimaging data

Yimei Li; John H. Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu

doi:10.1007/978-3-642-24446-9_13

Two-stage multiscale adaptive regression methods for twin neuroimaging data

Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Twin imaging studies have been valuable for understanding the contribution of the environment and genes on brain structure and function. The conventional analyses are limited due to the same amount of smoothing throughout the whole image, the arbitrary choice of smoothing extent, and the decreased power in detecting environmental and genetic effects introduced by smoothing raw images. The goal of this article is to develop a two-stage multiscale adaptive regression method (TwinMARM) for spatial and adaptive analysis of twin neuroimaging and behavioral data. The first stage is to establish the relationship between twin imaging data and a set of covariates of interest, such as age and gender. The second stage is to disentangle the environmental and genetic influences on brain structure and function. Simulation studies and real data analysis show that TwinMARM significantly outperforms the conventional analyses.

Original language	English (US)
Title of host publication	Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings
Pages	102-109
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-24446-9_13
State	Published - 2011
Event	1st International Workshop on Multimodal Brain Image Analysis, MBIA 2011, in Conjunction with the 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada Duration: Sep 18 2011 → Sep 18 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7012 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Workshop on Multimodal Brain Image Analysis, MBIA 2011, in Conjunction with the 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011
Country/Territory	Canada
City	Toronto, ON
Period	9/18/11 → 9/18/11

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-24446-9_13

Cite this

Li, Y., Gilmore, J. H., Wang, J., Styner, M., Lin, W., & Zhu, H. (2011). Two-stage multiscale adaptive regression methods for twin neuroimaging data. In Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings (pp. 102-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7012 LNCS). https://doi.org/10.1007/978-3-642-24446-9_13

Two-stage multiscale adaptive regression methods for twin neuroimaging data. / Li, Yimei; Gilmore, John H.; Wang, Jiaping et al.
Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. 2011. p. 102-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7012 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, Y, Gilmore, JH, Wang, J, Styner, M, Lin, W & Zhu, H 2011, Two-stage multiscale adaptive regression methods for twin neuroimaging data. in Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7012 LNCS, pp. 102-109, 1st International Workshop on Multimodal Brain Image Analysis, MBIA 2011, in Conjunction with the 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011, Toronto, ON, Canada, 9/18/11. https://doi.org/10.1007/978-3-642-24446-9_13

Li Y, Gilmore JH, Wang J, Styner M, Lin W, Zhu H. Two-stage multiscale adaptive regression methods for twin neuroimaging data. In Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. 2011. p. 102-109. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-24446-9_13

Li, Yimei ; Gilmore, John H. ; Wang, Jiaping et al. / Two-stage multiscale adaptive regression methods for twin neuroimaging data. Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. 2011. pp. 102-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Two-stage multiscale adaptive regression methods for twin neuroimaging data

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