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Brain Fiber Architecture Genetics and Intelligence: A High Angular Resolution Diffusion Imaging (HARDI) Study

机译:脑纤维结构遗传学和智力:高角度分辨率扩散成像(HARDI)研究

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摘要

We developed an analysis pipeline enabling population studies of HARDI data, and applied it to map genetic influences on fiber architecture in 90 twin subjects. We applied tensor-driven 3D fluid registration to HARDI, re-sampling the spherical fiber orientation distribution functions (ODFs) in appropriate Riemannian manifolds, after ODF regularization and sharpening. Fitting structural equation models (SEM) from quantitative genetics, we evaluated genetic influences on the Jensen-Shannon divergence (JSD), a novel measure of fiber spatial coherence, and on the generalized fiber anisotropy (GFA; []) a measure of fiber integrity. With random-effects regression, we mapped regions where diffusion profiles were highly correlated with subjects' intelligence quotient (IQ). Fiber complexity was predominantly under genetic control, and higher in more highly anisotropic regions; the proportion of genetic versus environmental control varied spatially. Our methods show promise for discovering genes affecting fiber connectivity in the brain.
机译:我们开发了一个分析流水线,以进行HARDI数据的总体研究,并将其应用于绘制遗传学对90名双胞胎受试者纤维结构的影响。我们将张量驱动的3D流体配准应用于HARDI,在ODF规则化和锐化之后,在适当的黎曼流形中重新采样球形纤维取向分布函数(ODF)。从定量遗传学拟合结构方程模型(SEM),我们评估了遗传对Jensen-Shannon发散(JSD)(一种新的纤维空间相干性度量)和广义纤维各向异性(GFA; [])纤维完整性的度量的遗传影响。通过随机效应回归,我们绘制了扩散分布与受试者的智商(IQ)高度相关的区域。纤维的复杂性主要在遗传控制下,在各向异性较高的地区则更高。基因控制与环境控制的比例在空间上变化。我们的方法显示出发现影响大脑纤维连接性的基因的希望。

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