| Literature DB >> 25346947 |
Yan Jin1, Yonggang Shi2, Shantanu H Joshi3, Neda Jahanshad, Liang Zhan, Greig I de Zubicaray, Katie L McMahon, Nicholas G Martin, Margaret J Wright, Arthur W Toga, Paul M Thompson.
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.Entities:
Keywords: Clustering; Curve Matching; Fiber Alignment; HARDI; Heritability; Image Registration; Tractography; White Matter Probabilistic Atlas
Year: 2011 PMID： 25346947 PMCID： PMC4205954 DOI： 10.1007/978-3-642-24446-9_5
Source DB: PubMed Journal: Multimodal Brain Image Anal (2011)