Literature DB >> 11215593

Accelerometric assessment of levodopa-induced dyskinesias in Parkinson's disease.

J I Hoff1, A A van den Plas, E A Wagemans, J J van Hilten.   

Abstract

Our objective was to develop parameters for objective ambulatory measurements of levodopa-induced dyskinesias (LID) in patients with Parkinson's disease (PD). Twenty-three PD patients with mild to severe LID were submitted to a standardized protocol of 1-minute recordings during rest, talking, stress, and four activities of daily life (ADL). Patients were simultaneously monitored with portable multi-channel accelerometry (four pairs of bi-axial sensors mounted onto the most affected arm, leg, and at the trunk) and recorded by video. LID severity was assessed with a modified Abnormal Involuntary Movement Scale (m-AIMS). The signals were analyzed, and every 1/8-second interval the amplitude was obtained of the dominant frequency within 1-4 Hz and 4-8 Hz frequency bands (Amp1-4 and Amp4-8). For both measures, convergent validity, reproducibility, and responsiveness were determined. In absence of voluntary movements, a significant relation was found between Amp1-4 and Amp4-8 and m-AIMS. Repeated measurements during rest showed a high reproducibility (intraclass correlation coefficient = 0.90 [Amp1-4] and 0.86 [Amp4-8]). The extent to which LID increased with talking and stress correlated significantly (p = 0.02) between the objective and clinical measures (intraclass correlation for differences = 0.67). During ADL, LID occurred in a similar frequency band as voluntary movements and only Amp1-4 and Amp4-8 of the trunk and leg sensor remained highly correlated with m-AIMS. Although objective measures of LID are reliable and responsive, they fail to distinguish LID from voluntary movements. These measures are of value only when obtained during rest (all sensor sites) or during ADL when derived from those body segments that are normally not involved in these ADL tasks (trunk and leg).

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Year:  2001        PMID: 11215593     DOI: 10.1002/1531-8257(200101)16:1<58::aid-mds1018>3.0.co;2-9

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  19 in total

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Review 2.  Stereotactic implantation of deep brain stimulation electrodes: a review of technical systems, methods and emerging tools.

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3.  Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors.

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Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-10-20

4.  Comparing movement patterns associated with Huntington's chorea and Parkinson's dyskinesia.

Authors:  Rena K Mann; Roderick Edwards; Julie Zhou; Alison Fenney; Mandar Jog; Christian Duval
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5.  Dyskinetic Parkinson's disease patients demonstrate motor abnormalities off medication.

Authors:  James K R Stevenson; Pouria Talebifard; Edna Ty; Meeko M K Oishi; Martin J McKeown
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6.  The use of the Actiwatch-Neurologica system to objectively assess the involuntary movements and sleep-wake activity in patients with mild-moderate Huntington's disease.

Authors:  Carrie B Hurelbrink; Simon J G Lewis; Roger A Barker
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7.  A data mining methodology for predicting early stage Parkinson's disease using non-invasive, high-dimensional gait sensor data.

Authors:  Conrad Tucker; Yixiang Han; Harriet Black Nembhard; Mechelle Lewis; Wang-Chien Lee; Nicholas W Sterling; Xuemei Huang
Journal:  IIE Trans Healthc Syst Eng       Date:  2015-11-20

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Authors:  Arash Salarian; Cris Zampieri; Fay B Horak; Patricia Carlson-Kuhta; John G Nutt; Kamiar Aminian
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9.  High-resolution tracking of motor disorders in Parkinson's disease during unconstrained activity.

Authors:  Serge H Roy; Bryan T Cole; L Don Gilmore; Carlo J De Luca; Cathi A Thomas; Marie M Saint-Hilaire; S Hamid Nawab
Journal:  Mov Disord       Date:  2013-03-20       Impact factor: 10.338

10.  Classification of movement states in Parkinson's disease using a wearable ambulatory monitor.

Authors:  David A Klapper; Joshua Weaver; Hubert Fernandez; Lucila Ohno-Machado
Journal:  AMIA Annu Symp Proc       Date:  2003
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