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The human central nervous system transmits common synaptic inputs to distinct motor neuron pools during non-synergistic digit actions.
Del Vecchio, A; Germer, C M; Elias, L A; Fu, Q; Fine, J; Santello, M; Farina, D.
Afiliação
  • Del Vecchio A; Neuromechanics & Rehabilitation Technology Group, Department of Bioengineering, Faculty of Engineering, Imperial College London, UK.
  • Germer CM; Neural Engineering Research Laboratory, Department of Biomedical Engineering, School of Electrical and Computer Engineering, University of Campinas, Sao Paulo, Brazil.
  • Elias LA; Neural Engineering Research Laboratory, Department of Biomedical Engineering, School of Electrical and Computer Engineering, University of Campinas, Sao Paulo, Brazil.
  • Fu Q; Center for Biomedical Engineering, University of Campinas, Sao Paulo, Brazil.
  • Fine J; Neuromechanical Systems Laboratory, Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, USA.
  • Santello M; Neural Control of Movement Laboratory, School of Biological and Health Systems Engineering, Arizona State University, Pheonix, AZ, USA.
  • Farina D; Neural Control of Movement Laboratory, School of Biological and Health Systems Engineering, Arizona State University, Pheonix, AZ, USA.
J Physiol ; 597(24): 5935-5948, 2019 12.
Article em En | MEDLINE | ID: mdl-31605381
ABSTRACT
KEY POINTS Neural connectivity between distinct motor neuronal modules in the spinal cord is classically studied through electrical stimulation or multi-muscle EMG recordings. We quantified the strength of correlation in the activity of two distinct populations of motor neurons innervating the thenar and first dorsal interosseous muscles during tasks that required the two hand muscles to exert matched or un-matched forces in different directions. We show that when the two hand muscles are concurrently activated, synaptic input to the two motor neuron pools is shared across all frequency bandwidths (representing cortical and spinal input) associated with force control. The observed connectivity indicates that motor neuron pools receive common input even when digit actions do not belong to a common behavioural repertoire. ABSTRACT Neural connectivity between distinct motor neuronal modules in the spinal cord is classically studied through electrical stimulation or multi-muscle EMG recordings. Here we quantify the strength of correlation in the activity of two distinct populations of motor neurons innervating the thenar and first dorsal interosseous muscles in humans during voluntary contractions. To remove confounds associated with previous studies, we used a task that required the two hand muscles to exert matched or un-matched forces in different directions. Despite the force production task consisting of uncommon digit force coordination patterns, we found that synaptic input to motor neurons is shared across all frequency bands, reflecting cortical and spinal inputs associated with force control. The coherence between discharge timings of the two pools of motor neurons was significant at the delta (0-5 Hz), alpha (5-15 Hz) and beta (15-35 Hz) bands (P < 0.05). These results suggest that correlated input to motor neurons of two hand muscles can occur even during tasks not belonging to a common behavioural repertoire and despite lack of common innervation. Moreover, we show that the extraction of activity from motor neurons during voluntary force control removes cross-talk associated with global EMG recordings, thus allowing direct in vivo interrogation of spinal motor neuron activity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tratos Piramidais / Córtex Cerebral / Dedos / Neurônios Motores Limite: Adult / Female / Humans / Male Idioma: En Revista: J Physiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tratos Piramidais / Córtex Cerebral / Dedos / Neurônios Motores Limite: Adult / Female / Humans / Male Idioma: En Revista: J Physiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido