Differential pattern of hand‐tapping compromise in vascular versus idiopathic parkinsonism: A study based on computerized movement analysis

Bäzner, Hansjörg; Schanz, Jurik; Blahak, Christian; Grips, Eva; Wöhrle, Johannes C.; Hennerici, Michael G.

doi:10.1002/mds.20372

Cited by 8 publications

(7 citation statements)

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“…Bäzner et al analyzed the motor function of hands with tapping tests and showed significant differences comparing patients with PD, subcortical vascular encephalopathy and healthy controls [7]. It has been shown by Ünlü et al.…”

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confidence: 94%

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Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease

Barth¹,

Sünkel²,

Bergner

et al. 2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Objective and rater independent analysis of movement impairment is one of the most challenging tasks in medical engineering. Especially assessment of motor symptoms defines the clinical diagnosis in Parkinson's disease (PD). A sensor-based system to measure the movement of the upper and lower extremities would therefore complement the clinical evaluation of PD. In this study two different sensor-based systems were combined to assess movement of 18 PD patients and 17 healthy controls. First, hand motor function was evaluated using a sensor pen with integrated accelerometers and pressure sensors, and second, gait function was assessed using a sports shoe with attached inertial sensors (gyroscopes,accelerometers).Subjects performed standardized tests for both extremities.Features were calculated from sensor signals to differentiate between patients and controls. For the latter, pattern recognition methods were used and the performance of four classifiers was compared. In a first step classification was done for every single system and in a second step for combined features of both systems. Combination of both motor task assessments substantially improved classification rates to 97%using the AdaBoost classifier for the experiment patients vs.controls.The combination of two different analysis systems led to enhanced, more stable, objective, and rater independent recognition of motor impairment. The method can be used as a complementary diagnostic tool for movement disorders.

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confidence: 94%

“…Several studies used sensor systems to evaluate gait [3][4][5][6]13], hand motor function [7,8], or only single symptoms for lower and upper extremities [9][10][11][12]. However, a clinical examination, e.g.…”

mentioning

confidence: 99%

Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease

Barth¹,

Sünkel²,

Bergner

et al. 2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…10,11 The clinical relevance of WMLs is controversial; however, recent data confirm the coexistence of vascular dementia, gait unsteadiness, and urinary incontinence subsumed in the syndrome of subcortical vascular encephalopathy (SVE) with severe WMLs. 12 There is growing evidence that the progression of WMLs is associated with progressive functional deficits such as gait disturbance 13 and upper limb discoordination, 14 and a large ongoing European trial 15 intends to clarify the issue of increasing disability in the elderly on the basis of progressive WMLs.…”

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confidence: 99%

Supratentorial Age-Related White Matter Changes Predict Outcome in Cerebellar Stroke

Grips

Sedlaczek

Bäzner

et al. 2005

Stroke

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Background and Purpose-Little is known about the relevance of age related white matter lesions (WMLs) concerning outcome after first-ever territorial stroke. Based on an index patient, we hypothesized that age and pre-existent WMLs rather than infarct volume and topography determine outcome. Patients and Methods-Thirty-four consecutive patients with magnetic resonance diffusion-weighted imaging-proven isolated acute cerebellar infarction were prospectively entered on our stroke data registry. Patients with pre-existent neurological deficits, hemorrhagic, or malignant cerebellar infarction were excluded. Patients were stratified using Rankin and Barthel disability scales into groups: I complete recovery, II moderate, and III significant disability 14 days after stroke onset. Results-Initial neurological and functional scores were similar among all the groups with vertigo, nausea, unsteadiness, and limb ataxia being the most common. Infarct volume, vascular territories, and comorbidity did not predict clinical outcome. In contrast, presence and severity of supratentorial WMLs and age significantly determined outcome by functional tests. Conclusions-In

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“…Auch die Trennlinie zwischen einem VPS mit schleichendem Beginn und einer symptomatischen Parkinson-typischen Gangstörung bei SAE ist unscharf, da eine genauere Untersuchung oft auch bei klinisch dominierender Gangstörung diskrete Rigidität und Bradykinese der oberen Extremitäten zeigen kann [26].…”

Section: Differenzialdiagnoseunclassified

Das vaskuläre Parkinson-Syndrom

Ebersbach

Poewe

2006

Nervenarzt

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The present review shows that vascular parkinsonian syndrome (VPS) fulfilling stringent diagnostic criteria for parkinsonism is a rare disease that cannot always be distinguished from neurodegenerative parkinsonism on clinical grounds. Thus VPS needs to be differentiated from other disturbances, which have distinct phenomenological and therapeutical features including isolated gait disturbances associated with subcortical arteriosclerotic encephalopathy and neurodegenerative parkinsonism complicated by comorbid vascular encephalopathy. Acute or subacute VPS is usually caused by contralateral infarctions involving the external globus pallidus, ventrolateral thalamus, and, less often, the substantia nigra. Chronic VPS with insidious onset is related to bilateral subcortical infarctions affecting thalamocortical projections. Differentiation from degenerative parkinsonism is difficult in cases of VPS that display a progressive course and response to levodopa.

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Differential pattern of hand‐tapping compromise in vascular versus idiopathic parkinsonism: A study based on computerized movement analysis

Cited by 8 publications

References 20 publications

Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease

Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease

Supratentorial Age-Related White Matter Changes Predict Outcome in Cerebellar Stroke

Das vaskuläre Parkinson-Syndrom

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