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White Matter Changes of Neurite Density and Fiber Orientation Dispersion during Human Brain Maturation.人类大脑成熟过程中神经突密度和纤维取向离散度的白质变化
PLoS One. 2015 Jun 26;10(6):e0123656. doi: 10.1371/journal.pone.0123656. eCollection 2015.
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Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI.使用髓鞘水成像和先进扩散磁共振成像量化与年龄相关的微观结构差异。
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Performances of diffusion kurtosis imaging and diffusion tensor imaging in detecting white matter abnormality in schizophrenia.扩散峰度成像和扩散张量成像在检测精神分裂症白质异常中的表现。
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One diffusion acquisition and different white matter models: how does microstructure change in human early development based on WMTI and NODDI?一次扩散采集与不同的白质模型:基于WMTI和NODDI,人类早期发育中的微观结构如何变化?
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Multimodal white matter imaging to investigate reduced fractional anisotropy and its age-related decline in schizophrenia.多模态白质成像研究精神分裂症中分数各向异性降低及其与年龄相关的下降情况。
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在一个人群隔离群体中评估的复杂白质扩散特征的遗传力。

Heritability of complex white matter diffusion traits assessed in a population isolate.

作者信息

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

机构信息

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.

出版信息

Hum Brain Mapp. 2016 Feb;37(2):525-35. doi: 10.1002/hbm.23047. Epub 2015 Nov 5.

DOI:10.1002/hbm.23047
PMID:26538488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4718876/
Abstract

INTRODUCTION

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.

METHODS

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.

RESULTS

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).

CONCLUSION

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.

摘要

引言

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。

方法

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。

结果

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)。

结论

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。