CASIA OpenIR  > 脑网络组研究中心
Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum
Sepehrband, Farshid1,2; Alexander, Daniel C.3; Clark, Kristi A.2; Kurniawan, Nyoman D.1; Yang, Zhengyi1,4,5; Reutens, David C.1
2016-05-26
发表期刊FRONTIERS IN NEUROANATOMY
卷号10
文章类型Article
摘要Axon diameter is an important neuroanatomical characteristic of the nervous system that alters in the course of neurological disorders such as multiple sclerosis. Axon diameters vary, even within a fiber bundle, and are not normally distributed. An accurate distribution function is therefore beneficial, either to describe axon diameters that are obtained from a direct measurement technique (e.g., microscopy), or to infer them indirectly (e.g., using diffusion-weighted MRI). The gamma distribution is a common choice for this purpose (particularly for the inferential approach) because it resembles the distribution profile of measured axon diameters which has been consistently shown to be non-negative and right-skewed. In this study we compared a wide range of parametric probability distribution functions against empirical data obtained from electron microscopy images. We observed that the gamma distribution fails to accurately describe the main characteristics of the axon diameter distribution, such as location and scale of the mode and the profile of distribution tails. We also found that the generalized extreme value distribution consistently fitted the measured distribution better than other distribution functions. This suggests that there may be distinct subpopulations of axons in the corpus callosum, each with their own distribution profiles. In addition, we observed that several other distributions outperformed the gamma distribution, yet had the same number of unknown parameters; these were the inverse Gaussian, log normal, log logistic and Birnbaum-Saunders distributions.
关键词Axon Diameter Distribution Probability Distribution Function Corpus Callosum Electron Microscopy Generalized Extreme Value Distribution Gamma Distribution
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.3389/fnana.2016.00059
关键词[WOS]DIFFUSION MRI ; WHITE-MATTER ; BRAIN ; AUTISM ; NERVE ; MODEL
收录类别SCI
语种英语
项目资助者University of Queensland Centennial (UQCent) ; International Postgraduate Research Scholarship (IPRS) ; National Health and Medical Research Council of Australia(628952) ; EPSRC(G007748 ; National Institute of Health(R00HD065832 ; I027084 ; R01MH094343 ; L022680 ; P41EB015922 ; M020533) ; U54EB 020406)
WOS研究方向Anatomy & Morphology ; Neurosciences & Neurology
WOS类目Anatomy & Morphology ; Neurosciences
WOS记录号WOS:000376778600001
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12230
专题脑网络组研究中心
作者单位1.Univ Queensland, Ctr Adv Imaging, Brisbane, Qld, Australia
2.Univ So Calif, Keck Sch Med, Mark & Mary Stevens Neuroimaging & Informat Inst, Lab Neuro Imaging, Los Angeles, CA 90033 USA
3.UCL, Ctr Med Image Comp, Dept Comp Sci, London, England
4.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing, Peoples R China
5.Southwest Univ Sci & Technol, Fac Informat Engn, Mianyang, Peoples R China
推荐引用方式
GB/T 7714
Sepehrband, Farshid,Alexander, Daniel C.,Clark, Kristi A.,et al. Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum[J]. FRONTIERS IN NEUROANATOMY,2016,10.
APA Sepehrband, Farshid,Alexander, Daniel C.,Clark, Kristi A.,Kurniawan, Nyoman D.,Yang, Zhengyi,&Reutens, David C..(2016).Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum.FRONTIERS IN NEUROANATOMY,10.
MLA Sepehrband, Farshid,et al."Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum".FRONTIERS IN NEUROANATOMY 10(2016).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Sepehrband, Farshid]的文章
[Alexander, Daniel C.]的文章
[Clark, Kristi A.]的文章
百度学术
百度学术中相似的文章
[Sepehrband, Farshid]的文章
[Alexander, Daniel C.]的文章
[Clark, Kristi A.]的文章
必应学术
必应学术中相似的文章
[Sepehrband, Farshid]的文章
[Alexander, Daniel C.]的文章
[Clark, Kristi A.]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。