Literature DB >> 2289496

Effect of strength training on the relationship between magnetic resonance relaxation time and muscle fibre composition.

S Kuno1, S Katsuta, M Akisada, I Anno, K Matsumoto.   

Abstract

The effect of muscle hypertrophy on the relationship between magnetic resonance (MR) relaxation time and muscle fibre composition was investigated. Relaxation time and muscle fibre composition were measured in five subjects before and after a 20-week period of strength training. Muscle fibre composition in all subjects exhibited a significant shift to a predominance of fast-twitch (FT) fibres as a result of 20-week strength training (% area FT fibres: mean values from 49.8%, SD 17.9% to 57%, SD 5.6%; P less than 0.05). Longitudinal relaxation time (T1) and transverse relaxation time (T2) were prolonged significantly after strength training (T1 mean values from 334.9 ms, SD 13.6 to 359.0 ms, SD 9.0, P less than 0.001; T2 from 27.5 ms, SD 0.9 to 30.8 ms, SD 2.3, P less than 0.05). A constant relationship was observed in changes caused by strength training in muscle fibre composition (% area FT) and relaxation time, with a high correlation obtained between both parameters. These results indicate that MR relaxation time can be used for non-invasive estimation of muscle fibre composition.

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Year:  1990        PMID: 2289496     DOI: 10.1007/bf00236690

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  14 in total

1.  The specificity of the histochemical method for adenosine triphosphatase.

Authors:  H A PADYKULA; E HERMAN
Journal:  J Histochem Cytochem       Date:  1955-05       Impact factor: 2.479

2.  Mitochondrial volume density in human skeletal muscle following heavy resistance training.

Authors:  J D MacDougall; D G Sale; J R Moroz; G C Elder; J R Sutton; H Howald
Journal:  Med Sci Sports       Date:  1979

3.  Muscle fiber types in women athletes and non-athletes.

Authors:  F P Prince; R S Hikida; F C Hagerman
Journal:  Pflugers Arch       Date:  1977-10-19       Impact factor: 3.657

4.  Biochemical adaptation of human skeletal muscle to heavy resistance training and immobilization.

Authors:  J D MacDougall; G R Ward; D G Sale; J R Sutton
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1977-10

5.  Relationship between MR relaxation time and muscle fiber composition.

Authors:  S Kuno; S Katsuta; T Inouye; I Anno; K Matsumoto; M Akisada
Journal:  Radiology       Date:  1988-11       Impact factor: 11.105

6.  Metabolic characteristics of skeletal muscle during detraining from competitive swimming.

Authors:  D L Costill; W J Fink; M Hargreaves; D S King; R Thomas; R Fielding
Journal:  Med Sci Sports Exerc       Date:  1985-06       Impact factor: 5.411

7.  Enzyme activity and fiber composition in skeletal muscle of untrained and trained men.

Authors:  P D Gollnick; R B Armstrong; C W Saubert; K Piehl; B Saltin
Journal:  J Appl Physiol       Date:  1972-09       Impact factor: 3.531

8.  Nuclear magnetic resonance studies of cancer. IV. Correlation of water content with tissue relaxation times.

Authors:  L A Saryan; D P Hollis; J S Economou; J C Eggleston
Journal:  J Natl Cancer Inst       Date:  1974-02       Impact factor: 13.506

9.  Nuclear magnetic resonance transverse relaxation times of water protons in skeletal muscle.

Authors:  C F Hazlewood; D C Chang; B L Nichols; D E Woessner
Journal:  Biophys J       Date:  1974-08       Impact factor: 4.033

10.  Skeletal muscle enzymes and fiber composition in male and female track athletes.

Authors:  D L Costill; J Daniels; W Evans; W Fink; G Krahenbuhl; B Saltin
Journal:  J Appl Physiol       Date:  1976-02       Impact factor: 3.531

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  4 in total

Review 1.  Aging and muscle function.

Authors:  Y Aoyagi; R J Shephard
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Authors:  Taku Wakahara; Naokazu Miyamoto; Norihide Sugisaki; Koichiro Murata; Hiroaki Kanehisa; Yasuo Kawakami; Tetsuo Fukunaga; Toshimasa Yanai
Journal:  Eur J Appl Physiol       Date:  2011-08-21       Impact factor: 3.078

Review 3.  Assessment of analytical methods used to measure changes in body composition in the elderly and recommendations for their use in phase II clinical trials.

Authors:  M S Lustgarten; R A Fielding
Journal:  J Nutr Health Aging       Date:  2011-05       Impact factor: 4.075

4.  Noninvasive monitoring of training induced muscle adaptation with 31P-MRS: fibre type shifts correlate with metabolic changes.

Authors:  Eike Hoff; Lars Brechtel; Patrick Strube; Paul Konstanczak; Gisela Stoltenburg-Didinger; Carsten Perka; Michael Putzier
Journal:  Biomed Res Int       Date:  2013-07-15       Impact factor: 3.411

  4 in total

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