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":"198对双胞胎白质纤维束形状的遗传力。","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":"{\"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}","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}
Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins.
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.