Research article summary:

Classifying lower limb dynamics in Parkinsons disease.

Abstract Extract:
To classify lower limb dynamics in patients with Parkinsons disease (PD), we conducted a clinical study by using pedaling exercise.Twenty-seven patients with idiopathic PD were included in this study. We measured rotational velocities of pedals during ... (Full abstract text below)

Published 2003Jul in Journal: Brain Res Bull (Language : eng)

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1. Brain Res Bull. 2003 Jul;61(2):219-26

Classifying lower limb dynamics in Parkinson's disease.

Abe K, Asai Y, Matsuo Y, Nomura T, Sato S, Inoue S, Mizukura I, Sakoda S

D-4, Department of Neurology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan. abe@neurol.med.osaka-u.ac.jp

To classify lower limb dynamics in patients with Parkinson's disease (PD), we conducted a clinical study by using pedaling exercise.Twenty-seven patients with idiopathic PD were included in this study. We measured rotational velocities of pedals during pedaling movements with a newly developed ergometer.The velocity waveforms exhibited different characteristics among patients, which could be categorized into four different clusters. In cluster 1, the amplitude on each side was constant and the relative phase was locked at 180 degrees. The pattern was the same as seen in normal subjects. In cluster 2, the amplitude on each side was constant, but the relative phase was locked at 90 degrees. In cluster 3, the amplitude on each side was modulated, and the relative phase drifted monotonously from 0 to 360 degrees during pedaling cycles. In cluster 4, the amplitude on each side was synchronously and irregularly modulated, and the relative phase fluctuated with intermittent spike-like decrement. In order to evaluate, the correlation between pattern and severity of PD, we divided 13 patients, who underwent measurement of pedaling patterns more than three times, into three groups, and found that the abnormal coordination pattern correlated with the presence of freezing phenomenon in patients with PD. Our clinical analysis may contribute in analyzing and classifying the dynamics of PD.

PMID : 12832009 [PubMed - Indexed for MEDLINE]

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Full Author Information

First Name	LastName	Initials
Kazuo	Abe	K
Yoshiyuki	Asai	Y
Yoshimi	Matsuo	Y
Taishin	Nomura	T
Shunsuke	Sato	S
Satoru	Inoue	S
Isao	Mizukura	I
Sabro	Sakoda	S

Affiliation: D-4, Department of Neurology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan. abe@neurol.med.osaka-u.ac.jp

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