Heritability of white matter fiber tract shapes: A HARDI study of 198 twins

Yan Jin; Yonggang Shi; Shantanu H. Joshi; Neda Jahanshad; Liang Zhan; Greig I. De Zubicaray; Katie L. McMahon; Nicholas G. Martin; Margaret J. Wright; Arthur W. Toga; Paul M. Thompson

doi:10.1007/978-3-642-24446-9_5

Heritability of white matter fiber tract shapes: A HARDI study of 198 twins

Yan Jin, Yonggang Shi, Shantanu H. Joshi, Neda Jahanshad, Liang Zhan, Greig I. De Zubicaray, Katie L. McMahon, Nicholas G. Martin, Margaret J. Wright, Arthur W. Toga, Paul M. Thompson

Biostatistics

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

10 Scopus citations

Abstract

Genetic analysis of diffusion tensor images (DTI) shows great promise in revealing specific genetic variants that affect brain integrity and connectivity. Most genetic studies of DTI analyze voxel-based diffusivity indices in the image space (such as 3D maps of fractional anisotropy) and overlook tract geometry. Here we propose an automated workflow to cluster fibers using a white matter probabilistic atlas and perform genetic analysis on the shape characteristics of fiber tracts. We apply our approach to large study of 4-Tesla high angular resolution diffusion imaging (HARDI) data from 198 healthy, young adult twins (age: 20-30). Illustrative results show heritability for the shapes of several major tracts, as color-coded maps.

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	35-43
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-24446-9_5
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

Keywords

Clustering
Curve Matching
Fiber Alignment
HARDI
Heritability
Image Registration
Tractography
White Matter Probabilistic Atlas

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-24446-9_5

Cite this

Jin, Y., Shi, Y., Joshi, S. H., Jahanshad, N., Zhan, L., De Zubicaray, G. I., McMahon, K. L., Martin, N. G., Wright, M. J., Toga, A. W., & Thompson, P. M. (2011). Heritability of white matter fiber tract shapes: A HARDI study of 198 twins. In Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings (pp. 35-43). (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_5

Heritability of white matter fiber tract shapes: A HARDI study of 198 twins. / Jin, Yan; Shi, Yonggang; Joshi, Shantanu H. et al.
Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. 2011. p. 35-43 (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

Jin, Y, Shi, Y, Joshi, SH, Jahanshad, N, Zhan, L, De Zubicaray, GI, McMahon, KL, Martin, NG, Wright, MJ, Toga, AW & Thompson, PM 2011, Heritability of white matter fiber tract shapes: A HARDI study of 198 twins. 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. 35-43, 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_5

Jin Y, Shi Y, Joshi SH, Jahanshad N, Zhan L, De Zubicaray GI et al. Heritability of white matter fiber tract shapes: A HARDI study of 198 twins. In Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. 2011. p. 35-43. (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_5

Jin, Yan ; Shi, Yonggang ; Joshi, Shantanu H. et al. / Heritability of white matter fiber tract shapes : A HARDI study of 198 twins. Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. 2011. pp. 35-43 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Genetic analysis of diffusion tensor images (DTI) shows great promise in revealing specific genetic variants that affect brain integrity and connectivity. Most genetic studies of DTI analyze voxel-based diffusivity indices in the image space (such as 3D maps of fractional anisotropy) and overlook tract geometry. Here we propose an automated workflow to cluster fibers using a white matter probabilistic atlas and perform genetic analysis on the shape characteristics of fiber tracts. We apply our approach to large study of 4-Tesla high angular resolution diffusion imaging (HARDI) data from 198 healthy, young adult twins (age: 20-30). Illustrative results show heritability for the shapes of several major tracts, as color-coded maps.",

keywords = "Clustering, Curve Matching, Fiber Alignment, HARDI, Heritability, Image Registration, Tractography, White Matter Probabilistic Atlas",

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note = "Funding Information: This study was supported by Grant RO1 HD050735 from the National Institutes of Health (NIH) and Grant 496682 from the National Health and Medical Research Council (NHMRC), Australia.; 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 ; Conference date: 18-09-2011 Through 18-09-2011",

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AU - McMahon, Katie L.

AU - Martin, Nicholas G.

AU - Wright, Margaret J.

AU - Toga, Arthur W.

AU - Thompson, Paul M.

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N2 - Genetic analysis of diffusion tensor images (DTI) shows great promise in revealing specific genetic variants that affect brain integrity and connectivity. Most genetic studies of DTI analyze voxel-based diffusivity indices in the image space (such as 3D maps of fractional anisotropy) and overlook tract geometry. Here we propose an automated workflow to cluster fibers using a white matter probabilistic atlas and perform genetic analysis on the shape characteristics of fiber tracts. We apply our approach to large study of 4-Tesla high angular resolution diffusion imaging (HARDI) data from 198 healthy, young adult twins (age: 20-30). Illustrative results show heritability for the shapes of several major tracts, as color-coded maps.

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Heritability of white matter fiber tract shapes: A HARDI study of 198 twins

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