Literature DB >> 23701659

Asymmetric pain processing in Parkinson's disease.

Y Granovsky1, I Schlesinger, S Fadel, I Erikh, E Sprecher, D Yarnitsky.   

Abstract

BACKGROUND AND
PURPOSE: Reduced endogenous pain inhibition, as part of the degenerative process, is presumed to be the mechanism underlying the common presence of pain in patients with Parkinson's disease (PD). The present study aimed to assess an endogenous pain inhibitory system in PD using the conditioned pain modulation paradigm.
METHODS: Twenty-six predominantly unilateral PD patients and 19 controls underwent psychophysical pain assessment before and after patients' morning dopaminergic medication.
RESULTS: An unexpected increase in several parameters of pain perception for PD patients was found after dopaminergic medication (e.g. for 49°C noxious heat stimulation an increase from 70.6 ± 4.0 to 77.6 ± 4.0 on the numerical pain scale, P < 0.001). This increase was seen in patients with predominantly left-sided PD, regardless of the stimulated side (for 49°C noxious heat stimulation, predominantly left-sided PD patients, pain perception increased from 73.5 ± 6.8 to 85.0 ± 6.8, P < 0.001, whereas predominantly right-sided PD patients did not show a significant increase, 68.3 ± 6.8 to 70.4 ± 6.5, P = 0.777). Baseline efficiency of conditioned pain modulation inversely correlated with age at disease onset (r = -0.522; P = 0.009) and disease severity (Unified PD Rating Scale, r = 0.447; P = 0.032) but did not differ between patients and controls.
CONCLUSIONS: Increased sensory response causing hyperalgesia occurs after dopaminergic medication in patients with predominantly left-sided PD.
© 2013 The Author(s) European Journal of Neurology © 2013 EFNS.

Entities:  

Keywords:  Parkinson's disease; conditioned pain modulation; mesolimbic system; pain

Mesh:

Substances:

Year:  2013        PMID: 23701659     DOI: 10.1111/ene.12188

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  13 in total

Review 1.  Conditioned pain modulation: a predictor for development and treatment of neuropathic pain.

Authors:  Yelena Granovsky
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Review 2.  Integrated Approach for Pain Management in Parkinson Disease.

Authors:  Christian Geroin; Marialuisa Gandolfi; Veronica Bruno; Nicola Smania; Michele Tinazzi
Journal:  Curr Neurol Neurosci Rep       Date:  2016-04       Impact factor: 5.081

Review 3.  Non-motor features of Parkinson disease.

Authors:  Anthony H V Schapira; K Ray Chaudhuri; Peter Jenner
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5.  Nociceptive Response to L-DOPA-Induced Dyskinesia in Hemiparkinsonian Rats.

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Review 6.  Towards optimising experimental quantification of persistent pain in Parkinson's disease using psychophysical testing.

Authors:  Rory V Smith; Patrick Wilkins; Kirsty Bannister; Tatum M Cummins
Journal:  NPJ Parkinsons Dis       Date:  2021-03-17

7.  Influence of Dopaminergic Medication on Conditioned Pain Modulation in Parkinson's Disease Patients.

Authors:  Wiebke Grashorn; Odette Schunke; Carsten Buhmann; Katarina Forkmann; Sabrina Diedrich; Katharina Wesemann; Ulrike Bingel
Journal:  PLoS One       Date:  2015-08-13       Impact factor: 3.240

8.  Rating Scales for Pain in Parkinson's Disease: Critique and Recommendations.

Authors:  Santiago Perez-Lloret; Daniel Ciampi de Andrade; Kelly E Lyons; Carmen Rodríguez-Blázquez; Kallol Ray Chaudhuri; Guenther Deuschl; Girgio Cruccu; Cristina Sampaio; Christopher G Goetz; Anette Schrag; Pablo Martinez-Martin; Glenn Stebbins
Journal:  Mov Disord Clin Pract       Date:  2016-06-24

Review 9.  Pain in Parkinson's Disease: Current Concepts and a New Diagnostic Algorithm.

Authors:  Veit Mylius; Daniel Ciampi de Andrade; Rubens Gisbert Cury; Michael Teepker; Uwe Ehrt; Karla Maria Eggert; Serafin Beer; Jürg Kesselring; Maria Stamelou; Wolfgang H Oertel; Jens Carsten Möller; Jean-Pascal Lefaucheur
Journal:  Mov Disord Clin Pract       Date:  2015-08-09

10.  Polymorphism of the COMT, MAO, DAT, NET and 5-HTT Genes, and Biogenic Amines in Parkinson's Disease.

Authors:  Jolanta Dorszewska; Michal Prendecki; Anna Oczkowska; Agata Rozycka; Margarita Lianeri; Wojciech Kozubski
Journal:  Curr Genomics       Date:  2013-12       Impact factor: 2.236

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