Movement patterns of peak-dose levodopa-induced dyskinesias in patients with Parkinson's disease
- PMID: 17683791
- DOI: 10.1016/j.brainresbull.2007.05.005
Movement patterns of peak-dose levodopa-induced dyskinesias in patients with Parkinson's disease
Abstract
The present study characterized involuntary movements associated with levodopa-induced dyskinesias (LID) in patients with Parkinson's disease. We used amplitude, proportional energy, frequency dispersion and sample entropy to determine whether LID movement patterns are truly random, as clinical description seems to suggest, or possess some underlying pattern that is not visible to the naked eye. LID was captured using a magnetic tracker system, which provided 3D rendering of whole-body LID. Patients were instructed to maintain a standing position, with arms extended in front of them. We compared the measurements of the dyskinetic PD group (DPD) with 10 patients without dyskinesias (NDPD) and 10 control subjects. In comparison to the other two groups, movement patterns from the DPD group had significantly higher amplitude, confirming the presence of dyskinesias. In addition, higher frequency components in the power spectrum of velocity were detected, suggestive of higher velocity in LID movement. Furthermore, there was a concentration in narrow frequency bands, which suggested stable oscillatory activity. Finally, sample entropy revealed more regularity in the DPD group. Although not statistically significant, we found that the amplitude from the NDPD group had a tendency to be smaller than those of controls. As well, the spectra were often more dispersed for the NDPD group. In conclusion, the present results suggest that LID cannot be considered as purely random movement since they possess some deterministic pattern of motion. This may provide a way for patients to adapt to these involuntary movements while performing voluntary motor acts.
Similar articles
-
Bradykinesia in patients with Parkinson's disease having levodopa-induced dyskinesias.Brain Res Bull. 2006 May 15;69(5):512-8. doi: 10.1016/j.brainresbull.2006.02.015. Epub 2006 Mar 15. Brain Res Bull. 2006. PMID: 16647580
-
Short-term variability in amplitude and motor topography of whole-body involuntary movements in Parkinson's disease dyskinesias and in Huntington's chorea.Clin Neurol Neurosurg. 2008 Feb;110(2):160-7. doi: 10.1016/j.clineuro.2007.10.010. Epub 2007 Dec 3. Clin Neurol Neurosurg. 2008. PMID: 18063471
-
Quantifying drug-induced dyskinesias in the arms using digitised spiral-drawing tasks.J Neurosci Methods. 2005 May 15;144(1):47-52. doi: 10.1016/j.jneumeth.2004.10.005. Epub 2004 Nov 28. J Neurosci Methods. 2005. PMID: 15848238
-
[Dyskinesia caused by L-DOPA].Rev Neurol (Paris). 2002 Dec;158 Spec no 1:S92-101. Rev Neurol (Paris). 2002. PMID: 12690668 Review. French.
-
Pathophysiology of levodopa-induced dyskinesia: potential for new therapies.Nat Rev Neurosci. 2001 Aug;2(8):577-88. doi: 10.1038/35086062. Nat Rev Neurosci. 2001. PMID: 11484001 Review.
Cited by
-
Pallidal versus subthalamic nucleus deep brain stimulation for levodopa-induced dyskinesia.Ann Clin Transl Neurol. 2020 Jan;7(1):59-68. doi: 10.1002/acn3.50961. Epub 2019 Dec 8. Ann Clin Transl Neurol. 2020. PMID: 31813194 Free PMC article.
-
PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease.Sensors (Basel). 2014 Nov 11;14(11):21329-57. doi: 10.3390/s141121329. Sensors (Basel). 2014. PMID: 25393786 Free PMC article.
-
A Kinematic Data-Driven Approach to Differentiate Involuntary Choreic Movements in Individuals With Neurological Conditions.IEEE Trans Biomed Eng. 2022 Dec;69(12):3784-3791. doi: 10.1109/TBME.2022.3177396. Epub 2022 Nov 23. IEEE Trans Biomed Eng. 2022. PMID: 35604991 Free PMC article.
-
A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia.J Med Syst. 2017 Sep 25;41(11):176. doi: 10.1007/s10916-017-0811-7. J Med Syst. 2017. PMID: 28948460 Free PMC article.
-
Comparing movement patterns associated with Huntington's chorea and Parkinson's dyskinesia.Exp Brain Res. 2012 May;218(4):639-54. doi: 10.1007/s00221-012-3057-0. Epub 2012 Mar 21. Exp Brain Res. 2012. PMID: 22434341
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Research Materials