Abstract

Analysis of the internal local activity distribution in human skeletal muscles is important for managing muscle fatigue/pain and dysfunction. However, no method is established for three-dimensional (3D) statistical analysis of features of activity regions common to multiple subjects during voluntary motor tasks. We investigated the characteristics of muscle activity distribution from the data of ten healthy subjects (29 ± 1 year old, 2 women) during voluntary teeth clenching under two different occlusal conditions by applying spatial normalization and statistical parametric mapping (SPM) to analysis of muscle functional magnetic resonance imaging (mfMRI) using increase in transverse relaxation time (T2) of the skeletal muscle induced by exercise. The expansion of areas with significant T2 increase was observed in the masticatory muscles after clenching with molar loss comparing with intact dentition. The muscle activity distribution characteristics common to a group of subjects, i.e., the active region in the temporal muscle ipsilateral to the side with the molar loss and medial pterygoid muscle contralateral to the side with the molar loss, were clarified in 3D by applying spatial normalization and SPM to mfMRI analysis. This method might elucidate the functional distribution within the muscles and the localized muscular activity related to skeletal muscle disorders.

Details

Title
Statistical parametric mapping of three-dimensional local activity distribution of skeletal muscle using magnetic resonance imaging (MRI)
Author
Yamaguchi, Satoshi 1 ; Watanabe, Makoto 2 ; Hattori Yoshinori 1 

 Tohoku University Graduate School of Dentistry, Division of Aging and Geriatric Dentistry, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943) 
 Tohoku University Graduate School of Dentistry, Division of Aging and Geriatric Dentistry, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Miyagi Gakuin Women’s University, Institute of Living and Environmental Sciences, Sendai, Japan (GRID:grid.444749.e) (ISNI:0000 0001 2155 1897) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2493707008
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.