Your browser doesn't support javascript.
loading
Brain and muscle activation patterns during postural control affect static postural control.
Kumai, Ken; Ikeda, Yumi; Sakai, Katsuya; Goto, Keisuke; Morikawa, Kenji; Shibata, Keiichirou.
Afiliação
  • Kumai K; Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo 116-8551, Japan.
  • Ikeda Y; Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo 116-8551, Japan. Electronic address: ikedayum@tmu.ac.jp.
  • Sakai K; Faculty of Healthcare Sciences, Chiba Prefectural University of Health Sciences, 2-10-1 645-1 Nitona-cho, Chuo-ku, Chiba 261-0014, Japan.
  • Goto K; Adachi Medical Center, Tokyo Women's Medical University, 4-33-1 Kouhoku, Adachi-ku, Tokyo 123-8558, Japan.
  • Morikawa K; Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo 116-8551, Japan.
  • Shibata K; Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo 116-8551, Japan.
Gait Posture ; 96: 102-108, 2022 07.
Article em En | MEDLINE | ID: mdl-35635985
ABSTRACT

BACKGROUND:

Previous studies have reported existence of coordinated brain and muscle activity patterns that affect postural control. However, differences in these activity patterns that affect postural control are still unclear. The purpose of this study was to clarify brain and muscle activity pattern affecting postural control. RESEARCH QUESTION Does the difference in brain and muscle activity patterns during postural control affect postural control ability?

METHOD:

Nineteen healthy men (mean age 24.8 ± 4.1 years, height 171.8 ± 5.5 cm, and weight 63.5 ± 12.5 kg) performed a postural control task on a balance board, and their brain and muscle activities and body sway during the task were measured using functional near-infrared spectroscopy, surface electromyography, and three-dimensional accelerometry. Hierarchical cluster analysis was conducted to extract subgroups based on brain and muscle activities and postural control, and correlation analysis was performed to investigate the relationship between brain activity, muscle activity, and postural control.

RESULTS:

Two subgroups were found. Subgroup 1 (n = 9) showed higher brain activity in the supplementary motor area (p = 0.04), primary motor cortex (p = 0.04) and stable postural control in the mediolateral (p < 0.01) planes, and subgroup 2 (n = 10) showed higher muscle activity in the tibialis anterior (p < 0.01), a higher shank muscles co-contraction (p = 0.02) and unstable postural control. Furthermore, the supplementary motor area activity is negatively correlated with body sway of mediolateral plane (r = -0.51, p = 0.02), and tibialis anterior activity is positively correlated with body sway on the mediolateral plane (r = 0.62, p = 0.004).

SIGNIFICANCE:

Higher brain activity in motor-related areas, lower activity in the lower limb muscles and lower co-contraction of shank muscles were observed in stable postural control. These results will facilitate the planning of new rehabilitation methods for improving postural control ability.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Equilíbrio Postural / Contração Muscular Limite: Adult / Humans / Male Idioma: En Revista: Gait Posture Assunto da revista: ORTOPEDIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Equilíbrio Postural / Contração Muscular Limite: Adult / Humans / Male Idioma: En Revista: Gait Posture Assunto da revista: ORTOPEDIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão