Motor blocks during bilateral stepping in Parkinson's disease and effects of dopaminergic medication. (April 2021)

• Record Type: Journal Article
• Authors: Baarbé, Julianne; Lizarraga, Karlo J.; Brown, Matt J.N.; Saha, Utpal; Fasano, Alfonso; Hutchison, William D.; Chen, Robert
• Is Part Of: Parkinsonism & related disorders. Volume 85(2021)
• Page Start: 1
• Page End: 4
• Publication Date: 2021-04
• Subjects: Freezing of gait -- FOG score -- Motor block -- Parkinson's disease -- Virtual reality; Parkinson's disease -- Periodicals; Movement disorders -- Periodicals; Movement Disorders -- Periodicals; Nerve Degeneration -- Periodicals; Nervous System Diseases -- Periodicals; Parkinson Disease -- Periodicals; Tremor -- Periodicals; Parkinson, Maladie de -- Périodiques; Parkinson's disease; 616.833
• DOI: 10.1016/j.parkreldis.2021.02.015
• Languages: English
• ISSNs: 1353-8020

Abstract

Abstract: Introduction: Freezing of gait (FOG) is a complex symptom in Parkinson's disease (PD) that manifests during walking as limited forward progression despite the intention to walk. It is unclear if lower limb motor blocks (LLMB) that occur independently from FOG are related to overground FOG and the effects of dopaminergic medications. Methods: Nineteen patients with PD were tested on two separate days in the dopaminergic medication "on" and "off" states. The patients completed a series of freezing-provoking tasks while videotaped. Raters assessed videos for FOG presence using Movement Disorders Society Unified Parkinson's Disease Rating Scale item 3.11 score greater than or equal to 1 and FOG severity using the standardized FOG score. Whilst seated in a virtual environment, patients and 20 healthy controls stepped in right-left sequence on foot pedals. Frequency and percent time in LLMB were assessed for accurate classification of FOG presence and correlation to the FOG score. Results: Frequency and percent time spent in LLMB predicted the presence of FOG in both medication states. Percent time spent in LLMB correlated with FOG severity in both medication states. LLMB frequency predicted FOG severity in the "off" state only. Conclusions: LLMB during bilateral stepping in a virtual environment predicted the presence and severity of FOG in PD in both "on" and "off" medication states. These findings support the use of this non-walking paradigm to detect and assess FOG in PD patients unable or unsafe to walk. Highlights: Motor blocks may be related to freezing of gait (FOG) in Parkinson's disease. We assessed lower limb motor blocks with stepping in a virtual environment. Lower limb motor blocks predict the presence and severity of FOG. When unable or unsafe to walk, motor blocks may be used to detect and assess FOG.