schliessen

Filtern

 

Bibliotheken

Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum

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 benefic... Full description

Journal Title: Frontiers in Neuroanatomy May 26, 2016
Main Author: Sepehrband, Farshid
Other Authors: Alexander, Daniel C. , Clark, Kristi A. , Kurniawan, Nyoman D. , Yang, Zhengyi , Reutens, David C.
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 1662-5129 ; DOI: 10.3389/fnana.2016.00059
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: gale_hrca558806414
title: Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum
format: Article
creator:
  • Sepehrband, Farshid
  • Alexander, Daniel C.
  • Clark, Kristi A.
  • Kurniawan, Nyoman D.
  • Yang, Zhengyi
  • Reutens, David C.
subjects:
  • Probability Distributions -- Analysis
  • Multiple Sclerosis -- Analysis
ispartof: Frontiers in Neuroanatomy, May 26, 2016
description: 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.
language: English
source:
identifier: ISSN: 1662-5129 ; DOI: 10.3389/fnana.2016.00059
fulltext: fulltext
issn:
  • 1662-5129
  • 16625129
url: Link


@attributes
ID977865436
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordid558806414
sourceidgale_hrca
recordidTN_gale_hrca558806414
sourceformatXML
sourcesystemOther
pqid1797538180
galeid558806414
display
typearticle
titleParametric Probability Distribution Functions for Axon Diameters of Corpus Callosum
creatorSepehrband, Farshid ; Alexander, Daniel C. ; Clark, Kristi A. ; Kurniawan, Nyoman D. ; Yang, Zhengyi ; Reutens, David C.
ispartofFrontiers in Neuroanatomy, May 26, 2016
identifierISSN: 1662-5129 ; DOI: 10.3389/fnana.2016.00059
subjectProbability Distributions -- Analysis ; Multiple Sclerosis -- Analysis
languageEnglish
source
descriptionAxon 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.
version7
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
search
creatorcontrib
0Sepehrband, Farshid
1Farshid Sepehrband
2Alexander, Daniel C
3Clark, Kristi A
4Kurniawan, Nyoman D
5Yang, Zhengyi
6Reutens, David C
titleParametric Probability Distribution Functions for Axon Diameters of Corpus Callosum
subject
0Probability distributions--Analysis
1Multiple sclerosis--Analysis
general
0English
1Frontiers Research Foundation
2Cengage Learning, Inc.
sourceidgale_hrca
recordidgale_hrca558806414
issn
01662-5129
116625129
rsrctypearticle
creationdate2016
recordtypearticle
addtitleFrontiers in Neuroanatomy
searchscopegale_hrca
scopegale_hrca
lsr30VSR-Enriched:[issue, pqid, pages, galeid, vol, description]
sort
titleParametric Probability Distribution Functions for Axon Diameters of Corpus Callosum
authorSepehrband, Farshid ; Alexander, Daniel C. ; Clark, Kristi A. ; Kurniawan, Nyoman D. ; Yang, Zhengyi ; Reutens, David C.
creationdate20160526
facets
frbrgroupid6554967108331372567
frbrtype5
newrecords20181030
creationdate2016
topic
0Probability Distributions–Analysis
1Multiple Sclerosis–Analysis
collectionHealth Reference Center Academic (Gale)
prefilterarticles
rsrctypearticles
creatorcontrib
0Sepehrband, Farshid
1Alexander, Daniel C.
2Clark, Kristi A.
3Kurniawan, Nyoman D.
4Yang, Zhengyi
5Reutens, David C.
jtitleFrontiers in Neuroanatomy
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
au
0Sepehrband, Farshid
1Alexander, Daniel C.
2Clark, Kristi A.
3Kurniawan, Nyoman D.
4Yang, Zhengyi
5Reutens, David C.
atitleParametric Probability Distribution Functions for Axon Diameters of Corpus Callosum
jtitleFrontiers in Neuroanatomy
risdate20160526
issn1662-5129
genrearticle
ristypeJOUR
pubFrontiers Research Foundation
doi10.3389/fnana.2016.00059
lad01gale_hrca
issueMAY
pages59
volume10
date2016-05-26