Motor output complexity in Parkinson's disease during quiet standing and walking: Analysis of short-term correlations using the entropic half-life.

Pasluosta CF, Hannink J, Gaßner H, von Tscharner V, Winkler J, Klucken J, Eskofier B (2018)

Publication Status: Published

Publication Type: Journal article

Publication year: 2018

Journal

Human Movement Science Elsevier

Book Volume: 58

Pages Range: 185-194

DOI: 10.1016/j.humov.2018.02.005

Abstract

Parkinson's disease (PD) is associated with alterations in motor outputs such as center of pressure (CoP) adjustments during quiet standing and foot kinematics during walking. Previous research suggests that the complexity of motor outputs reflects the number of control processes stabilizing a specific movement, providing a measure that is linked to the neurological control of the movement. The Entropic Half Life (EnHL) represents a new method for assessing motor output complexity. We hypothesized that there will be a lack of neuromuscular control pathways for PD patients, resulting in a decrease in motor output complexity. We computed the EnHL of CoP adjustments during quiet standing and foot kinematics during walking of 70 PD patients and 33 age-matched controls. Patients with PD showed longer EnHL values compared to controls, suggesting a tighter motor control. Excluding vision led to a decrease of EnHL of CoP in both groups. EnHL was correlated with spatio-temporal gait parameters. We compared EnHL with the pull test and the timed up-and-go test. No significant differences were present in the pull test, yet motor output complexity was correlated with the timed up-and-go test. The results suggest a reduced complexity in motor outputs of PD patients affecting distinct motor functions.

Authors with CRIS profile

Julius Hannink Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Heiko Gaßner Department of Molecular Neurology Jürgen Winkler Professur für Molekulare Neurologie Jochen Klucken Department of Molecular Neurology Björn Eskofier Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Additional Organisation(s)

Machine Learning and Data Analytics Lab

Involved external institutions

Albert-Ludwigs-Universität Freiburg DE Germany (DE)

How to cite

APA:

Pasluosta, C.F., Hannink, J., Gaßner, H., von Tscharner, V., Winkler, J., Klucken, J., & Eskofier, B. (2018). Motor output complexity in Parkinson's disease during quiet standing and walking: Analysis of short-term correlations using the entropic half-life. Human Movement Science, 58, 185-194. https://dx.doi.org/10.1016/j.humov.2018.02.005

MLA:

Pasluosta, C. F., et al. "Motor output complexity in Parkinson's disease during quiet standing and walking: Analysis of short-term correlations using the entropic half-life." Human Movement Science 58 (2018): 185-194.

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