A neuromechanical model of reduced dorsiflexor torque during the anticipatory postural adjustments of gait initiation

Matthew N. Petrucci, Louis A. Diberardino, Colum D. MacKinnon, Elizabeth T. Hsiao-Wecksler

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Anticipatory postural adjustments (APAs) precede gait initiation and function to accelerate the center of mass forward and towards the initial stance leg. Impairments in APA generation, such as those seen in people with Parkinson's disease (PD), can impact the quality of the first step. An initial burst of activity in the dorsiflexor muscle (tibialis anterior) of the stepping leg is an important contributor to the posterior excursion of the center of pressure that accelerates the center of mass forward during an APA. Tibialis anterior activation can be diminished or absent in people with PD; however, the neuromechanical consequence of this diminished dorsiflexor torque on APA generation is not fully understood. Computational models of gait initiation that include components of the neuromuscular system may provide additional insight. In this paper, an inverted pendulum model of the body generated from healthy young adult data was used to simulate reduced dorsiflexor torque during an APA for gait initiation. Forward body lean angle and center of pressure were assessed over various settings of decreased dorsiflexor torque and compared to experimental data from a person with PD. Results from the model demonstrate that reducing the peak dorsiflexor torque by as little as 8-Nm may alter forward body lean and the center of pressure excursion from their nominal trajectories. These results can help inform how much torque is needed from an external device to effectively modulate APAs for gait initiation, as well as provide insight into compensation strategies for reduced dorsiflexor torque in pathology.

Original languageEnglish (US)
Article number8486966
Pages (from-to)2210-2216
Number of pages7
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume26
Issue number11
DOIs
StatePublished - Nov 2018

Bibliographical note

Funding Information:
Manuscript received January 14, 2018; revised August 1, 2018; accepted September 20, 2018. Date of publication October 9, 2018; date of current version November 20, 2018. This work was supported in part by the National Science Foundation Neuroengineering IGERT under Grant 0903622 (MP) and in part by NIH under Grant 1RO1 NS070264 (CM). (Corresponding author: Matthew N. Petrucci.) M. N. Petrucci was with the University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA. He is now with the Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305 USA (e-mail: mpetrucc@stanford.edu).

Publisher Copyright:
© 2018 IEEE.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

  • Computational modeling
  • Parkinson's disease
  • anticipatory postural adjustments

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