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Distribution of different fibre types in human skeletal muscles: a method for the detection of neurogenic disorders

Downham, D Y; Wilson, B C; Lexell, Jan LU and Sjöstrom, Michael (1987) In Ima Journal of Mathematics Applied in Medicine and Biology 4(1). p.81-91
Abstract
Human skeletal muscles are composed of two distinguishable types of fibres, which in healthy muscles appear to be randomly arranged. Large groups of one fibre type are commonly regarded as evidence of a neuropathological process affecting the peripheral nerves or the nerve cells in the spinal cord. An objective method that detects non-random arrangements as a sign of a neurogenic disorder, particularly in its early stages, could improve diagnosis. The randomness, or otherwise, of the fibre type arrangement is here considered in terms of the numbers of fibres surrounded entirely by others of the same type (enclosed fibres). The distribution of the number of enclosed fibres is studied for a free-sampling model using Monte Carlo methods. The... (More)
Human skeletal muscles are composed of two distinguishable types of fibres, which in healthy muscles appear to be randomly arranged. Large groups of one fibre type are commonly regarded as evidence of a neuropathological process affecting the peripheral nerves or the nerve cells in the spinal cord. An objective method that detects non-random arrangements as a sign of a neurogenic disorder, particularly in its early stages, could improve diagnosis. The randomness, or otherwise, of the fibre type arrangement is here considered in terms of the numbers of fibres surrounded entirely by others of the same type (enclosed fibres). The distribution of the number of enclosed fibres is studied for a free-sampling model using Monte Carlo methods. The negative binomial distribution is shown to fit closely, where the parameters can be expressed in terms of the number of fibres and the fibre type proportion in a sample area. This result permits the calculation of significance levels for a sample area and the combination of information in several sample areas. Finally, the method is applied to whole cross-sections of 24 male human autopsied muscles. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
in
Ima Journal of Mathematics Applied in Medicine and Biology
volume
4
issue
1
pages
81 - 91
publisher
Oxford University Press
external identifiers
  • pmid:3503089
  • scopus:77957188193
ISSN
0265-0746
DOI
10.1093/imammb/4.1.81
language
English
LU publication?
no
id
45c18fad-376e-4994-a3e5-8e07a84a72c2 (old id 1103946)
date added to LUP
2008-08-08 16:54:29
date last changed
2017-08-20 04:18:57
@article{45c18fad-376e-4994-a3e5-8e07a84a72c2,
  abstract     = {Human skeletal muscles are composed of two distinguishable types of fibres, which in healthy muscles appear to be randomly arranged. Large groups of one fibre type are commonly regarded as evidence of a neuropathological process affecting the peripheral nerves or the nerve cells in the spinal cord. An objective method that detects non-random arrangements as a sign of a neurogenic disorder, particularly in its early stages, could improve diagnosis. The randomness, or otherwise, of the fibre type arrangement is here considered in terms of the numbers of fibres surrounded entirely by others of the same type (enclosed fibres). The distribution of the number of enclosed fibres is studied for a free-sampling model using Monte Carlo methods. The negative binomial distribution is shown to fit closely, where the parameters can be expressed in terms of the number of fibres and the fibre type proportion in a sample area. This result permits the calculation of significance levels for a sample area and the combination of information in several sample areas. Finally, the method is applied to whole cross-sections of 24 male human autopsied muscles.},
  author       = {Downham, D Y and Wilson, B C and Lexell, Jan and Sjöstrom, Michael},
  issn         = {0265-0746},
  language     = {eng},
  number       = {1},
  pages        = {81--91},
  publisher    = {Oxford University Press},
  series       = {Ima Journal of Mathematics Applied in Medicine and Biology},
  title        = {Distribution of different fibre types in human skeletal muscles: a method for the detection of neurogenic disorders},
  url          = {http://dx.doi.org/10.1093/imammb/4.1.81},
  volume       = {4},
  year         = {1987},
}