Dynamic head-neck stabilization in cervical dystonia
Patrick A. Forbes (TU Delft - Biomechatronics & Human-Machine Control, Erasmus MC)
E. de Bruijn (TU Delft - Biomechatronics & Human-Machine Control)
SWR Nijmeijer (Universiteit van Amsterdam)
JHTM Koelman (Universiteit van Amsterdam)
F. C.T. van der Helm (TU Delft - Biomechatronics & Human-Machine Control, University of Twente)
Alfred Schouten (TU Delft - Biomechatronics & Human-Machine Control, University of Twente)
MAJ Tijssen (Universiteit van Amsterdam, Rijksuniversiteit Groningen)
R. Happee (TU Delft - Intelligent Vehicles)
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Abstract
Background Effective sensorimotor integration is essential to modulate (adapt) neck stabilization strategies in response to varying tasks and disturbances. This study evaluates the hypothesis that relative to healthy controls cervical dystonia patients have an impaired ability to modulate afferent feedback for neck stabilization with changes in the frequency content of mechanical perturbations. Methods We applied anterior-posterior displacement perturbations (110 s) on the torso of seated subjects, while recording head-neck kinematics and muscular activity. We compared low bandwidth (0.2–1.2 Hz) and high bandwidth (0.2–8 Hz) perturbations where our previous research showed a profound modulation of stabilization strategies in healthy subjects. Cervical dystonia patients and age matched controls performed two tasks: (1) maintain head forward posture and (2) allow dystonia to dictate head posture. Findings Patients and controls demonstrated similar kinematic and muscular responses. Patient modulation was similar to that of healthy controls (P > 0.05); neck stiffness and afferent feedback decreased with high bandwidth perturbations. During the head forward task patients had an increased neck stiffness relative to controls (P
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