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Dynamics of brain-muscle networks reveal effects of age and somatosensory function on gait.
Roeder, Luisa; Breakspear, Michael; Kerr, Graham K; Boonstra, Tjeerd W.
Afiliação
  • Roeder L; School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
  • Breakspear M; School of Information Systems, Faculty of Science, Queensland University of Technology, Brisbane, QLD, Australia.
  • Kerr GK; Chair of Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.
  • Boonstra TW; College of Engineering Science and Environment, College of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.
iScience ; 27(3): 109162, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38414847
ABSTRACT
Walking is a complex motor activity that requires coordinated interactions between the sensory and motor systems. We used mobile EEG and EMG to investigate the brain-muscle networks involved in gait control during overground walking in young people, older people, and individuals with Parkinson's disease. Dynamic interactions between the sensorimotor cortices and eight leg muscles within a gait cycle were assessed using multivariate analysis. We identified three distinct brain-muscle networks during a gait cycle. These networks include a bilateral network, a left-lateralized network activated during the left swing phase, and a right-lateralized network active during the right swing. The trajectories of these networks are contracted in older adults, indicating a reduction in neuromuscular connectivity with age. Individuals with the impaired tactile sensitivity of the foot showed a selective enhancement of the bilateral network, possibly reflecting a compensation strategy to maintain gait stability. These findings provide a parsimonious description of interindividual differences in neuromuscular connectivity during gait.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article