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D. Weightman

Researcher at Newcastle University

Publications -  6
Citations -  2624

D. Weightman is an academic researcher from Newcastle University. The author has contributed to research in topics: Tonic (physiology) & Diazepam. The author has an hindex of 6, co-authored 6 publications receiving 2499 citations.

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Data on the distribution of fibre types in thirty-six human muscles: An autopsy study

TL;DR: In this paper, the mean fibre type proportions of each muscle were examined and the spatial distribution of the fibre types was examined in order to determine whether this was random or not, and the number of closed fibers observed in the actual samples was compared statistically with the number expected to occur in a hexagonal lattice model, assuming a random distribution.
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Data on fibre size in thirty-six human muscles. An autopsy study.

TL;DR: It is thought probable that human muscles are adapted for their different physiological roles by means of their widely varying fibre type constitution and that fibre size is relatively unimportant in this respect.
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A comparison of fibre size, fibre type constitution and spatial fibre type distribution in normal human muscle and in muscle from cases of spinal muscular atrophy and from other neuromuscular disorders

TL;DR: The muscle wasting observed clinically is more likely to be due to actual fibre loss than to a net decrease in average fibre diameter, according to a study of muscle biopsies from patients suffering from various forms of neuromuscular disease.
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A comparison of baclofen and diazepam in the treatment of spasticity

TL;DR: A double-blind controlled trial of baclofen against diazepam was carried out at two dose levels and this showed no significant difference between the two drugs; there was, however, a tendency in favour of b Baclofen, particularly in higher doses.
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The ultrastructure of normal human muscle in relation to fibre type

TL;DR: The results show that no single feature can be used to distinguish fibre types reliably and that if 2 factors are measured and certain assumptions are made, it is possible to classify about 50% of the fibres examined.