Tuesday 7 May 2013

An accelerometry-based study of lower and upper limb tremor in Parkinson's disease

J Clin Neurosci. 2013 Apr 29. pii: S0967-5868(12)00570-X. doi: 10.1016/j.jocn.2012.06.015. [Epub ahead of print]

Scanlon BK, Levin BE, Nation DA, Katzen HL, Guevara-Salcedo A, Singer C, Papapetropoulos S.

Source

Sierra-Pacific Mental Illness Research, Education, and Clinical Center, VA Palo Alto Health Care System, 3801 Miranda Ave, (151Y), Palo Alto, CA 94304, United States; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.

Abstract

Over the past two decades, several studies have aimed to quantify the kinetic properties of tremor with primary focus on the upper limbs. However, there is a lack of investigation into the properties of tremor in the lower limbs. The objective of this preliminary study was to investigate the properties of oscillatory movement, at rest and in posture, in both the upper and lower limbs of Parkinson's disease (PD) patients with clinically undetectable to modest rest/postural tremor and healthy controls. PD patients (N=16) and controls (N=8) were examined clinically by a movement disorders specialist and oscillatory movements in all four extremities were evaluated using a portable biaxial accelerometer. While tremor intensity and frequency did not differ between groups, the intraindividual variability of rest and postural tremor frequency in the dexterity-dominant lower limb was lower in people living with PD than in healthy adults. Additionally, rest tremor frequency was discrepant between upper and lower limbs in PD. Our work introduces the possibility that minute variations in lower limb movements, which are imperceptible upon expert clinical exam, can be used to differentiate a diseased sample from a healthy one. These preliminary findings suggest that additional work using objective tremor measurement may improve our understanding of lower limb motor dysfunction in PD and lead to the refinement of current, and the development of new, metrics to enhance early diagnosis, differential diagnosis, and symptom quantification.

Published by Elsevier Ltd.

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