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Exploring posture and the stepping task in persons with early Parkinson's disease
Gait & Posture 49S (2016) 161
Contents lists available at ScienceDirect
Gait & Posture journal homepage: www.elsevier.com/locate/gaitpost
P25 presented in PS01: Poster teaser: Older adults
Exploring posture and the stepping task in persons with early Parkinson’s disease Ingrid Claesson 1,2,*, Jarl Sobel 1, Agneta Sta˚hle 1,2, Wim Grooten 1,2 1 2
Karolinska Institutet, Stockholm, Sweden Karolinska University Hospital, Stockholm, Sweden
[(Fig._2)TD$IG] Introduction: Movement control and posture get worse along with disease progression in Parkinson’s Disease (PD). The accuracy of diagnose is important but difficult in early stage of PD [1]. There is no good clinical motor test for discrimination of PD from healthy age matched controls. Research question: Can we by data from a computerised movement analysis system detect differences in posture and movement between early PD and controls? Is there a difference in flexion of the trunk between early PD (Hoehn & Yahr 0–2.5) and healthy controls? By examining the movement of CoP of the stepping task, can we discriminate early PD from controls? Methods: Persons with early PD (n = 28) and healthy age matched controls (n = 17) were assessed in one session during standing task and stepping task. The subjects were standing with each foot on a separate floor leveled Kistler force plate (Wintertur, Switzerland), collecting 3D kinetic data at a frequency of 100 Hz. An 8-camera movement analysis system (ELITE, BTS) collected 3D kinematic data at a frequency of 100 Hz from body markers. Trunk flexion was compared between early PD and controls from hip and shoulder markers in relation to the vertical when standing still during 60 s. The CoP anterior/posterior displacement during 20 s of stepping task was compared between early PD and controls. Nonparametric statistics was used. The stepping task was defined by demarcated events into phases from forces and kinematics as described in Fig. 1. [(Fig._1)TD$IG]
Fig. 1. [1_TD$IF]The stepping task was defined by demarcated events into phases from forces and kinematics as described above.
Fig. 2. [2_TD$IF]The boxplot shows the trunk flexion during standing task in controls and early PD (difference p = 0.03).
[(Fig._3)TD$IG]
Fig. 3. [3_TD$IF]The boxplot shows the COP displacement (mm) during stepping task in controls and early PD (difference p = 0.02).
Results: There was a significant difference in trunk flexion between early PD and controls (p = 0.03) (Fig. 2). We found a significant difference of the CoP anterior/posterior displacement (p = 0.02) during stepping task between early PD and controls (Fig. 3). In addition, the stepping task was performed slower in early PD compared to controls although, after time normalisation of the stepping cycles, the relative time distribution was equal to controls. Discussion: A movement analysis system can help in revealing early signs of PD by detecting tendency towards slowness, motor rigidity and stooped posture. Reference
* Corresponding author. E-mail address: [email protected] (I. Claesson). http://dx.doi.org/10.1016/j.gaitpost.2016.07.219 0966-6362/
[1] Tolosa. Lancet Neurol 2006;5:75–86.
Contents lists available at ScienceDirect
Gait & Posture journal homepage: www.elsevier.com/locate/gaitpost
P25 presented in PS01: Poster teaser: Older adults
Exploring posture and the stepping task in persons with early Parkinson’s disease Ingrid Claesson 1,2,*, Jarl Sobel 1, Agneta Sta˚hle 1,2, Wim Grooten 1,2 1 2
Karolinska Institutet, Stockholm, Sweden Karolinska University Hospital, Stockholm, Sweden
[(Fig._2)TD$IG] Introduction: Movement control and posture get worse along with disease progression in Parkinson’s Disease (PD). The accuracy of diagnose is important but difficult in early stage of PD [1]. There is no good clinical motor test for discrimination of PD from healthy age matched controls. Research question: Can we by data from a computerised movement analysis system detect differences in posture and movement between early PD and controls? Is there a difference in flexion of the trunk between early PD (Hoehn & Yahr 0–2.5) and healthy controls? By examining the movement of CoP of the stepping task, can we discriminate early PD from controls? Methods: Persons with early PD (n = 28) and healthy age matched controls (n = 17) were assessed in one session during standing task and stepping task. The subjects were standing with each foot on a separate floor leveled Kistler force plate (Wintertur, Switzerland), collecting 3D kinetic data at a frequency of 100 Hz. An 8-camera movement analysis system (ELITE, BTS) collected 3D kinematic data at a frequency of 100 Hz from body markers. Trunk flexion was compared between early PD and controls from hip and shoulder markers in relation to the vertical when standing still during 60 s. The CoP anterior/posterior displacement during 20 s of stepping task was compared between early PD and controls. Nonparametric statistics was used. The stepping task was defined by demarcated events into phases from forces and kinematics as described in Fig. 1. [(Fig._1)TD$IG]
Fig. 1. [1_TD$IF]The stepping task was defined by demarcated events into phases from forces and kinematics as described above.
Fig. 2. [2_TD$IF]The boxplot shows the trunk flexion during standing task in controls and early PD (difference p = 0.03).
[(Fig._3)TD$IG]
Fig. 3. [3_TD$IF]The boxplot shows the COP displacement (mm) during stepping task in controls and early PD (difference p = 0.02).
Results: There was a significant difference in trunk flexion between early PD and controls (p = 0.03) (Fig. 2). We found a significant difference of the CoP anterior/posterior displacement (p = 0.02) during stepping task between early PD and controls (Fig. 3). In addition, the stepping task was performed slower in early PD compared to controls although, after time normalisation of the stepping cycles, the relative time distribution was equal to controls. Discussion: A movement analysis system can help in revealing early signs of PD by detecting tendency towards slowness, motor rigidity and stooped posture. Reference
* Corresponding author. E-mail address: [email protected] (I. Claesson). http://dx.doi.org/10.1016/j.gaitpost.2016.07.219 0966-6362/
[1] Tolosa. Lancet Neurol 2006;5:75–86.