Meimei Zhang1, Yawen Gan1, Xuemei Wang1, Zhan Wang1, Tao Feng2,3, Yumei Zhang4,5. 1. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. 2. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. bxbkyjs@sina.com. 3. China National Clinical Research Center for Neurological Diseases (NCRC-ND), Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China. bxbkyjs@sina.com. 4. China National Clinical Research Center for Neurological Diseases (NCRC-ND), Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China. zhangyumei95@aliyun.com. 5. China National Clinical Research Center for Neurological Diseases, Department of Rehabilitation, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China. zhangyumei95@aliyun.com.
Abstract
INTRODUCTION: Impaired gait is observed in patients with Parkinson's disease (PD) in both single-task (ST) and dual-task (DT) conditions. Non-motor symptoms (NMSs), another vital symptom future experienced along the PD disease trajectory, contribute to gait performance in PD. However, whether DT gait performance is indicative of NMS burden (NMSB) remains unknown. This study investigated correlation between NMS and DT gait performance and whether NMSB is reflected in the DT effects (DTEs) of gait parameters in PD. METHODS: Thirty-three idiopathic PD participants were enrolled in this study; the median H-Y staging was 2.5. NMSB was assessed by Non-motor Symptoms Scale (NMSS). Spatiotemporal gait parameters under ST and DT conditions were evaluated by wearable sensors. Gait parameters under ST and DT conditions and DTEs of gait parameters were compared across NMSB groups. The associations between NMS and DTEs of gait parameters were analyzed by correlation analysis and linear regression models. RESULTS: Compared to PD patients with mild-moderate NMSB, the severe-very severe NMSB group showed slower gait speed and shorter stride length under both ST and DT conditions (p < 0.05). DT had significantly negative effect on gait parameters in PD patients, including gait speed, stride length, and gait cycle duration (p < 0.05). PD patients with mild-moderate NMSB showed larger DTEs of cadence and bilateral gait cycle duration (p < 0.05). DTEs of bilateral gait cycle duration and swing phase on the more affected (MA) side were significantly correlated with NMSS scores (∣rSp∣ ≥ 0.3, p < 0.05). Gait cycle duration on the less affected (LA) side explained 43% of the variance in NMSS scores, when accounting for demographic and clinical confounders (β = - 1.095 95% CI - 4.061 ~ - 0.058, p = 0.044; adjusted R2 = 0.434). CONCLUSION: DT gait performance could reflect NMSB in PD patients at early stage, and gait cycle duration is a valuable gait parameter to further investigate and to provide more evidence for PD management.
INTRODUCTION: Impaired gait is observed in patients with Parkinson's disease (PD) in both single-task (ST) and dual-task (DT) conditions. Non-motor symptoms (NMSs), another vital symptom future experienced along the PD disease trajectory, contribute to gait performance in PD. However, whether DT gait performance is indicative of NMS burden (NMSB) remains unknown. This study investigated correlation between NMS and DT gait performance and whether NMSB is reflected in the DT effects (DTEs) of gait parameters in PD. METHODS: Thirty-three idiopathic PD participants were enrolled in this study; the median H-Y staging was 2.5. NMSB was assessed by Non-motor Symptoms Scale (NMSS). Spatiotemporal gait parameters under ST and DT conditions were evaluated by wearable sensors. Gait parameters under ST and DT conditions and DTEs of gait parameters were compared across NMSB groups. The associations between NMS and DTEs of gait parameters were analyzed by correlation analysis and linear regression models. RESULTS: Compared to PD patients with mild-moderate NMSB, the severe-very severe NMSB group showed slower gait speed and shorter stride length under both ST and DT conditions (p < 0.05). DT had significantly negative effect on gait parameters in PD patients, including gait speed, stride length, and gait cycle duration (p < 0.05). PD patients with mild-moderate NMSB showed larger DTEs of cadence and bilateral gait cycle duration (p < 0.05). DTEs of bilateral gait cycle duration and swing phase on the more affected (MA) side were significantly correlated with NMSS scores (∣rSp∣ ≥ 0.3, p < 0.05). Gait cycle duration on the less affected (LA) side explained 43% of the variance in NMSS scores, when accounting for demographic and clinical confounders (β = - 1.095 95% CI - 4.061 ~ - 0.058, p = 0.044; adjusted R2 = 0.434). CONCLUSION: DT gait performance could reflect NMSB in PD patients at early stage, and gait cycle duration is a valuable gait parameter to further investigate and to provide more evidence for PD management.
Authors: Amanda L Penko; Matthew C Streicher; Mandy Miller Koop; Tanujit Dey; Anson B Rosenfeldt; Andrew S Bazyk; Jay L Alberts Journal: Neuroscience Date: 2018-03-22 Impact factor: 3.590
Authors: Tiphanie E Raffegeau; Lisa M Krehbiel; Nyeonju Kang; Frency J Thijs; Lori J P Altmann; James H Cauraugh; Chris J Hass Journal: Parkinsonism Relat Disord Date: 2018-12-12 Impact factor: 4.891
Authors: Heiko Gaßner; Franz Marxreiter; Simon Steib; Zacharias Kohl; Johannes C M Schlachetzki; Werner Adler; Bjoern M Eskofier; Klaus Pfeifer; Jürgen Winkler; Jochen Klucken Journal: Front Neurol Date: 2017-10-26 Impact factor: 4.003
Authors: Kallol Ray Chaudhuri; Jose Manuel Rojo; Anthony H V Schapira; David J Brooks; Fabrizio Stocchi; Per Odin; Angelo Antonini; Richard G Brown; Richard J Brown; Pablo Martinez-Martin Journal: PLoS One Date: 2013-02-27 Impact factor: 3.240