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NeuroControl of movement: system identification approach for clinical benefit.

Meskers CG, de Groot JH, de Vlugt E, Schouten AC - Front Integr Neurosci (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Rehabilitation Medicine, VU University Medical Center Amsterdam, Netherlands.

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.

No MeSH data available.


Related in: MedlinePlus

Main human control loops consisting of a peripheral, spinal loop and a central, cortical loop. Reflex modulation takes its effect in the peripheral loop while it is mediated by suprapspinal centers and peripheral afferent signals.
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Figure 2: Main human control loops consisting of a peripheral, spinal loop and a central, cortical loop. Reflex modulation takes its effect in the peripheral loop while it is mediated by suprapspinal centers and peripheral afferent signals.

Mentions: Human afferent feedback loops can be discerned into a spinal and a supraspinal loop (Figure 2). Key questions are: (1) what is the nature of altered properties of (supraspinal) control and in what way do they relate to the observed movement disorders? and (2) What are underlying neurophysiological processes and where are they located?


NeuroControl of movement: system identification approach for clinical benefit.

Meskers CG, de Groot JH, de Vlugt E, Schouten AC - Front Integr Neurosci (2015)

Main human control loops consisting of a peripheral, spinal loop and a central, cortical loop. Reflex modulation takes its effect in the peripheral loop while it is mediated by suprapspinal centers and peripheral afferent signals.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4561669&req=5

Figure 2: Main human control loops consisting of a peripheral, spinal loop and a central, cortical loop. Reflex modulation takes its effect in the peripheral loop while it is mediated by suprapspinal centers and peripheral afferent signals.
Mentions: Human afferent feedback loops can be discerned into a spinal and a supraspinal loop (Figure 2). Key questions are: (1) what is the nature of altered properties of (supraspinal) control and in what way do they relate to the observed movement disorders? and (2) What are underlying neurophysiological processes and where are they located?

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Rehabilitation Medicine, VU University Medical Center Amsterdam, Netherlands.

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.

No MeSH data available.


Related in: MedlinePlus