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Distribution of different fibre types in human skeletal muscles. A statistical and computational model for the study of fibre type grouping and early diagnosis of skeletal muscle fibre denervation and reinnervation

Lexell, Jan LU ; Downham, David and Sjöstrom, Michael (1983) In Journal of the Neurological Sciences 61(3). p.301-314
Abstract
To define fibre type grouping in terms of random and non-random arrangements of the two fibre types, type 1 (ST) and type 2 (FT), we adopted the measure of counting the number of "enclosed fibres". The statistical properties of the number of enclosed fibres, and the number and size of groups of enclosed fibres were studied in computer-simulated muscle cross-sections, using a model based upon hexagonal-shaped fibres. The effects on the results of differences in the sizes of the muscle fibres were considered. The applicability of the model, and the derived results and methods of analysis were tested on 10 samples from a cross-section of a whole human muscle. The results show that the model can be applied to various shapes and sizes of muscle... (More)
To define fibre type grouping in terms of random and non-random arrangements of the two fibre types, type 1 (ST) and type 2 (FT), we adopted the measure of counting the number of "enclosed fibres". The statistical properties of the number of enclosed fibres, and the number and size of groups of enclosed fibres were studied in computer-simulated muscle cross-sections, using a model based upon hexagonal-shaped fibres. The effects on the results of differences in the sizes of the muscle fibres were considered. The applicability of the model, and the derived results and methods of analysis were tested on 10 samples from a cross-section of a whole human muscle. The results show that the model can be applied to various shapes and sizes of muscle samples and various sizes of muscle fibres. The number of enclosed fibres within a muscle sample is the best of the three measures of non-randomness considered. A test is also described for assessing whether or not the observed number of enclosed fibres is random at a given significance level. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Diagnosis, computer assisted, Histocytochemistry, Microcomputers, Muscle denervation, Muscles, Needle biopsy, Nerve degeneration, Nerve regeneration
in
Journal of the Neurological Sciences
volume
61
issue
3
pages
301 - 314
publisher
Elsevier
external identifiers
  • pmid:6317807
  • scopus:0021084257
ISSN
1878-5883
DOI
10.1016/0022-510X(83)90164-8
language
English
LU publication?
yes
id
0406872e-49d0-4cb6-8132-49ed3bba3e22 (old id 1103114)
date added to LUP
2008-08-13 08:22:44
date last changed
2017-01-01 04:37:44
@article{0406872e-49d0-4cb6-8132-49ed3bba3e22,
  abstract     = {To define fibre type grouping in terms of random and non-random arrangements of the two fibre types, type 1 (ST) and type 2 (FT), we adopted the measure of counting the number of "enclosed fibres". The statistical properties of the number of enclosed fibres, and the number and size of groups of enclosed fibres were studied in computer-simulated muscle cross-sections, using a model based upon hexagonal-shaped fibres. The effects on the results of differences in the sizes of the muscle fibres were considered. The applicability of the model, and the derived results and methods of analysis were tested on 10 samples from a cross-section of a whole human muscle. The results show that the model can be applied to various shapes and sizes of muscle samples and various sizes of muscle fibres. The number of enclosed fibres within a muscle sample is the best of the three measures of non-randomness considered. A test is also described for assessing whether or not the observed number of enclosed fibres is random at a given significance level.},
  author       = {Lexell, Jan and Downham, David and Sjöstrom, Michael},
  issn         = {1878-5883},
  keyword      = {Diagnosis,computer assisted,Histocytochemistry,Microcomputers,Muscle denervation,Muscles,Needle biopsy,Nerve degeneration,Nerve regeneration},
  language     = {eng},
  number       = {3},
  pages        = {301--314},
  publisher    = {Elsevier},
  series       = {Journal of the Neurological Sciences},
  title        = {Distribution of different fibre types in human skeletal muscles. A statistical and computational model for the study of fibre type grouping and early diagnosis of skeletal muscle fibre denervation and reinnervation},
  url          = {http://dx.doi.org/10.1016/0022-510X(83)90164-8},
  volume       = {61},
  year         = {1983},
}