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
{"title":"Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins.","authors":"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","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":90657,"journal":{"name":"Multimodal brain image analysis : first international workshop, MBIA 2011, held in conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011 : proceedings","volume":"2011 ","pages":"35-43"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205954/pdf/nihms393571.pdf","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multimodal brain image analysis : first international workshop, MBIA 2011, held in conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011 : proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-642-24446-9_5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
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.