NeuroControl of movement: system identification approach for clinical benefit
Identifieur interne : 000704 ( Main/Merge ); précédent : 000703; suivant : 000705NeuroControl of movement: system identification approach for clinical benefit
Auteurs : Carel G. M. Meskers [Pays-Bas] ; Jurriaan H. De Groot [Pays-Bas] ; Erwin De Vlugt [Pays-Bas] ; Alfred C. Schouten [Pays-Bas]Source :
- Frontiers in Integrative Neuroscience [ 1662-5145 ] ; 2015.
Abstract
Progress in diagnosis and treatment of movement disorders after neurological diseases like stroke, cerebral palsy (CP), dystonia and at old age requires understanding of the altered capacity to adequately respond to physical obstacles in the environment. With posture and movement disorders, the control of muscles is hampered, resulting in aberrant force generation and improper impedance regulation. Understanding of this improper regulation not only requires the understanding of the role of the neural controller, but also attention for: (1) the interaction between the neural controller and the “plant”, comprising the biomechanical properties of the musculaskeletal system including the viscoelastic properties of the contractile (muscle) and non-contractile (connective) tissues: neuromechanics; and (2) the closed loop nature of neural controller and biomechanical system in which cause and effect interact and are hence difficult to separate. Properties of the neural controller and the biomechanical system need to be addressed synchronously by the combination of haptic robotics, (closed loop) system identification (SI), and neuro-mechanical modeling. In this paper, we argue that assessment of neuromechanics in response to well defined environmental conditions and tasks may provide for key parameters to understand posture and movement disorders in neurological diseases and for biomarkers to increase accuracy of prediction models for functional outcome and effects of intervention.
Url:
DOI: 10.3389/fnint.2015.00048
PubMed: 26441563
PubMed Central: 4561669
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M." last="Meskers">Carel G. M. Meskers</name><affiliation wicri:level="1"><nlm:aff id="aff1"><institution>Department of Rehabilitation Medicine, VU University Medical Center</institution><country>Amsterdam, Netherlands</country></nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation></author><author><name sortKey="De Groot, Jurriaan H" sort="De Groot, Jurriaan H" uniqKey="De Groot J" first="Jurriaan H." last="De Groot">Jurriaan H. De Groot</name><affiliation wicri:level="1"><nlm:aff id="aff2"><institution>Department of Rehabilitation Medicine, Leiden University Medical Center</institution><country>Leiden, Netherlands</country></nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation></author><author><name sortKey="De Vlugt, Erwin" sort="De Vlugt, Erwin" uniqKey="De Vlugt E" first="Erwin" last="De Vlugt">Erwin De Vlugt</name><affiliation wicri:level="1"><nlm:aff id="aff3"><institution>Department of Biomechanical Engineering, Delft University of Technology</institution><country>Delft, Netherlands</country></nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation></author><author><name sortKey="Schouten, Alfred C" sort="Schouten, Alfred C" uniqKey="Schouten A" first="Alfred C." last="Schouten">Alfred C. Schouten</name><affiliation wicri:level="1"><nlm:aff id="aff3"><institution>Department of Biomechanical Engineering, Delft University of Technology</institution><country>Delft, Netherlands</country></nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff4"><institution>Laboratory of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente</institution><country>Enschede, Netherlands</country></nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation></author></analytic><series><title level="j">Frontiers in Integrative Neuroscience</title><idno type="eISSN">1662-5145</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Progress in diagnosis and treatment of movement disorders after neurological diseases like stroke, cerebral palsy (CP), dystonia and at old age requires understanding of the altered capacity to adequately respond to physical obstacles in the environment. With posture and movement disorders, the control of muscles is hampered, resulting in aberrant force generation and improper impedance regulation. Understanding of this improper regulation not only requires the understanding of the role of the neural controller, but also attention for: (1) the interaction between the neural controller and the “plant”, comprising the biomechanical properties of the musculaskeletal system including the viscoelastic properties of the contractile (muscle) and non-contractile (connective) tissues: neuromechanics; and (2) the closed loop nature of neural controller and biomechanical system in which cause and effect interact and are hence difficult to separate. Properties of the neural controller and the biomechanical system need to be addressed synchronously by the combination of haptic robotics, (closed loop) system identification (SI), and neuro-mechanical modeling. In this paper, we argue that assessment of neuromechanics in response to well defined environmental conditions and tasks may provide for key parameters to understand posture and movement disorders in neurological diseases and for biomarkers to increase accuracy of prediction models for functional outcome and effects of intervention.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Ada, L" uniqKey="Ada L">L. Ada</name></author><author><name sortKey="Vattanasilp, W" uniqKey="Vattanasilp W">W. Vattanasilp</name></author><author><name sortKey="O Wyer, N" uniqKey="O Wyer N">N. O’Dwyer</name></author><author><name sortKey="Crosbie, J" uniqKey="Crosbie J">J. Crosbie</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Assl Nder, L" uniqKey="Assl Nder L">L. Assländer</name></author><author><name sortKey="Peterka, R J" uniqKey="Peterka R">R. J. 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