Kochunov Peter, Fu Mao, Nugent Katie, Wright Susan N, Du Xiaoming, Muellerklein Florian, Morrissey Mary, Eskandar George, Shukla Dinesh K, Jahanshad Neda, Thompson Paul M, Patel Binish, Postolache Teodor T, Strauss Kevin A, Shuldiner Alan R, Mitchell Braxton D, Hong L Elliot
Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.
Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Hum Brain Mapp. 2016 Feb;37(2):525-35. doi: 10.1002/hbm.23047. Epub 2015 Nov 5.
Diffusion weighted imaging (DWI) methods can noninvasively ascertain cerebral microstructure by examining pattern and directions of water diffusion in the brain. We calculated heritability for DWI parameters in cerebral white (WM) and gray matter (GM) to study the genetic contribution to the diffusion signals across tissue boundaries.
Using Old Order Amish (OOA) population isolate with large family pedigrees and high environmental homogeneity, we compared the heritability of measures derived from three representative DWI methods targeting the corpus callosum WM and cingulate gyrus GM: diffusion tensor imaging (DTI), the permeability-diffusivity (PD) model, and the neurite orientation dispersion and density imaging (NODDI) model. These successively more complex models represent the diffusion signal modeling using one, two, and three diffusion compartments, respectively.
We replicated the high heritability of the DTI-based fractional anisotropy (h(2) = 0.67) and radial diffusivity (h(2) = 0.72) in WM. High heritability in both WM and GM tissues were observed for the permeability-diffusivity index from the PD model (h(2) = 0.64 and 0.84), and the neurite density from the NODDI model (h(2) = 0.70 and 0.55). The orientation dispersion index from the NODDI model was only significantly heritable in GM (h(2) = 0.68).
DWI measures from multicompartmental models were significantly heritable in WM and GM. DWI can offer valuable phenotypes for genetic research; and genes thus identified may reveal mechanisms contributing to mental and neurological disorders in which diffusion imaging anomalies are consistently found. Hum Brain Mapp 37:525-535, 2016. © 2015 Wiley Periodicals, Inc.
扩散加权成像(DWI)方法可通过检查脑内水扩散的模式和方向来无创地确定脑微观结构。我们计算了脑白质(WM)和灰质(GM)中DWI参数的遗传力,以研究跨组织边界的扩散信号的遗传贡献。
利用具有大家系和高环境同质性的老派阿米什(OOA)人群隔离群体,我们比较了源自三种针对胼胝体WM和扣带回GM的代表性DWI方法的测量值的遗传力:扩散张量成像(DTI)、通透扩散(PD)模型和神经突方向离散度与密度成像(NODDI)模型。这些依次更复杂的模型分别使用一个、两个和三个扩散腔室来表示扩散信号建模。
我们在WM中复制了基于DTI的分数各向异性(h(2) = 0.67)和径向扩散率(h(2) = 0.72)的高遗传力。在WM和GM组织中均观察到PD模型的通透扩散指数(h(2) = 0.64和0.84)以及NODDI模型的神经突密度(h(2) = 0.70和0.55)的高遗传力。NODDI模型的方向离散度指数仅在GM中具有显著遗传性(h(2) = 0.68)。
多腔室模型的DWI测量值在WM和GM中具有显著遗传性。DWI可为遗传研究提供有价值的表型;由此鉴定出的基因可能揭示导致在其中持续发现扩散成像异常的精神和神经疾病的机制。《人类大脑图谱》37:525 - 535, 2016。© 2015威利期刊公司。