Abstract
People with Parkinson’s disease (PD) may live for multiple decades after diagnosis. Ensuring that effective healthcare provision is received across the range of symptoms experienced is vital to the individual’s wellbeing and quality of life. As well as the hallmark motor symptoms, PD patients may also suffer from non-motor symptoms including persistent pain. This type of pain (lasting more than 3 months) is inconsistently described and poorly understood, resulting in limited treatment options. Evidence-based pain remedies are coming to the fore but therapeutic strategies that offer an improved analgesic profile remain an unmet clinical need. Since the ability to establish a link between the neurodegenerative changes that underlie PD and those that underlie maladaptive pain processing leading to persistent pain could illuminate mechanisms or risk factors of disease initiation, progression and maintenance, we evaluated the latest research literature seeking to identify causal factors underlying persistent pain in PD through experimental quantification. The majority of previous studies aimed to identify neurobiological alterations that could provide a biomarker for pain/pain phenotype, in PD cohorts. However heterogeneity of patient cohorts, result outcomes and methodology between human psychophysics studies overwhelmingly leads to inconclusive and equivocal evidence. Here we discuss refinement of pain-PD paradigms in order that future studies may enhance confidence in the validity of observed effect sizes while also aiding comparability through standardisation. Encouragingly, as the field moves towards cross-study comparison of data in order to more reliably reveal mechanisms underlying dysfunctional pain processing, the potential for better-targeted treatment and management is high.
Similar content being viewed by others
Introduction
Parkinson’s disease (PD) is a progressive, chronic and complex neurodegenerative disease affecting 6.1 million people worldwide1. While the aetiology of PD is not well understood a number of key studies have contributed to our understanding of the development of sporadic as well as familial PD2,3,4,5,6,7. The pathogenesis of PD involves the degeneration of dopaminergic neurons in the substantia nigra pars compacta, causing progressively diminished dopamine synthesis in the striatum. Diagnosis of PD follows physical examination of the motor symptoms of the disease, including tremor and postural instability, which appear once 50–70% of nigrostriatal neurons are depleted8,9. However, there is a significant loss of dopaminergic neurons during the prodromal phase, which is reported to last several years before motor symptoms manifest10. Although equally bothersome, the non-motor symptoms of PD are poorly recognised and underreported11,12 placing a significant burden on affected individuals’ quality of life13,14,15. Persistent pain is a particularly problematic non-motor symptom affecting up to 85% of individuals with PD16,17 and epidemiological studies highlight the need to systematically investigate pathophysiology based treatment strategies18,19.
Pain in PD: Current treatment
Pain is a multi-dimensional experience involving sensory discriminative and affective motivational descriptive axes. As such, pain perception is inherently subjective and influenced by multiple factors. While acute pain reflects an adaptive survival mechanism, persistent pain negatively impacts the quality of life of the affected individual and serves limited evolutionarily advantage. Unfortunately a large proportion of people with PD experience persistent pain and 50% of those individual’s receive no or inadequate treatment20,21. Therapeutic strategies that offer an improved analgesic profile remain an unmet clinical need. Clearly multi-disciplinary approaches for pain management that encompass new concepts in pathogenesis and treatment are required22,23.
The optimisation of dopaminergic therapies is generally accepted as a first step in the current clinical management of persistent pain in PD24,25. PD patients report more pain when ‘off’ Levodopa26,27 and painful sensations are ameliorated (though not eliminated) ‘on’ Levodopa28. Dopamine receptor agonism has shown promise. The RECOVER and DELORES studies, a pair of double blind, placebo-controlled trials, support the analgesic role of a rotigotine transdermal patch in PD29,30 while the multi-center, observational, open-label EUROINF study advocated the use of the apomorphine in improving the non-motor symptoms (NMS) scale, which includes a measure of pain25,31. Other therapies that have been explored include oxycodone-naloxone and duloxetine32,33. However despite progress in the field a recent Movement Disorders Society Task Force cited only two evidence-based pain treatment options34. Increasingly it is recognised that pathophysiologies may represent non-dopaminergic mediated effects35. Understanding why current treatment options are limited (and why those available are largely ineffective) is straightforward when considering that not only is pain multifactorial in origin, but also that the precise underlying mechanisms responsible for the initiation and maintenance of persistent pain in PD are not fully understood. Put broadly, the experience of pain is unique according to the individual and their pain type.
Pain in PD: Assessment and classification
It is vital that the pain type experienced by the affected person with PD is explicitly and correctly assessed and classified in order that targeted therapies can be offered. Coupled with an elusive driving force (mechanistically speaking), a lack of consensus regarding the appropriate assessment and classification of pain in PD patients has thwarted analgesic success. In pain assessment terms, the ‘King’s Parkinson’s Disease Pain Scale’ (KPPS)36 is advocated by the ‘International Parkinson’s and Movement Disorder Society Non-Motor PD Study Group’ for the evaluation of pain in PD. Encouragingly, an international multi-center validation study reported a strong correlation between the KPPS and quality of life scores, as well as excellent inter-rater and test-retest reliability36. Heralded as a novel approach for the assessment of pain in PD, the KPPS, while lengthy for routine clinical care, allows in-depth profiling in clinical trials based on the subjective reporting of an individual’s pain experience. Regarding pain classification, the Ford criteria26 classified PD-related pain into five groups: musculoskeletal, neuropathic/radicular, central/primary, dystonic and akathisia. The underlying mechanisms causing, for example, musculoskeletal versus central pain are very different in sensory terms and thus the analgesic regimen should be also. Understanding the complexities of pain processing pathways allows one to highlight and explain the heterogeneity of analgesic success with agents including Levodopa and dopamine receptor agonists.
In order that novel and optimal pharmacotherapeutic targets may be identified, a deeper understanding of the pain circuitry in PD patients who experience persistent pain is required. Since we know that unique maladaptive changes occur in central modulatory pathways that govern pain and neurodegeneration, identifying pathophysiological hallmarks for persistent pain and Parkinson’s disease states, likely highly plastic and stage specific, is crucial.
Experimental assessment of pain
Psychophysical assessment is a clinical research technique that can improve our understanding of the mechanisms underlying the development of persistent pain. The ultimate goal of ‘personalised pain management’ requires a thorough understanding of the neuronal mechanisms that contribute to persistent pain in a given patient37,38. Temporal summation (TS), quantitative sensory testing (QST) and conditioned pain modulation (CPM) paradigms are three examples of tests that are psychophysical in nature as they assess the perception of pain via salience circuitry39, as opposed to the subconscious processing of stimuli, which may or may not reach conscious perception40. As such, psychological factors such as anxiety41, depression42 and cognitive factors including attention and anticipation43 can influence pain perception during psychophysical testing. A recent review beautifully summarises the peripheral and central changes induced in chronicity as well providing a coherent schematic representation of psychophysical paradigms used in experimental pain research settings44. Human psychophysics paradigms may control for the influence of these confounders by demanding test-retest paradigms in order that it be possible to unpick the fluctuating nature of each individual’s sensory profile when analysing data from multiple sessions. It is vital to acknowledge that, even when using human psychophysics testing, it is not possible to pinpoint where precisely in the pain neuraxis a dysfunction is (the pain percept being an entirely central construct). A focal measure of, for example, peripheral versus spinal malfunction, cannot be made.
Static and dynamic psychophysical paradigms
So-called static psychosocial paradigms refer to a range of quantitative sensory testing (QST) protocols, which were recently standardised and defined by the German research network on neuropathic pain (DFNS)45. In addition to sensory detection thresholds the DFNS protocol involves pain thresholds to thermal (cold and heat) and mechanical (pressure and pinprick) stimuli. If QST responses are incongruous to normative reference values (i.e. refs. 45,46.) the dysfunction may be located anywhere along the neural axis, from peripheral nerve fibres47,48, to the spinal cord49 and cortical areas50. However the value of QST to distinguish central and peripheral mechanisms is limited. Nociceptive withdrawal reflex (NWR) thresholds offer a measure of central pain processing, specifically spinal nociceptive facilitation51.
Dynamic psychophysical paradigms are believed to better define central mechanisms of pain processing compared to static paradigms52. For example CPM paradigms measure the functionality of the descending pain-inhibitory system. Interestingly, CPM is the human correlate of the diffuse noxious inhibitory control effect observed in animals where the ‘pain inhibits pain’ phenomenon is activated upon application of a testing stimulus concurrent to a conditioning stimulus53,54. Evidence from translational studies suggests that CPM reflects the functionality of pain-modulating brainstem regions in inhibiting the activity of spinal neurons55,56. In contrast, pain facilitation mechanisms can be assessed through TS paradigms where pain responses to single noxious stimuli are compared with frequency-dependent responses to serially presented (identical) noxious stimuli57.
Sensory profiling and the potential for mechanism-based treatment
Since psychophysical testing offers the opportunity to explore the functionality of an individual’s pain system under controlled settings, a comprehensive assessment of various pain processing and modulatory pathways for use as a surrogate measure of the mechanisms driving the development of persistent pain in a given population/patient cohort is possible38. For example CPM deficiencies in patients with neuropathic pain can be targeted by manipulation of central noradrenergic and serotonergic transmission, where the pain-inhibiting impact of Tapentadol (noradrenaline reuptake inhibitor and μ-opioid receptor agonist) potentiates impaired CPM in persistent pain patients in a manner that back translates to animal studies53,58,59. Psychophysical testing can also be used to predict analgesic treatment efficacy60.
In people with PD, sensory profiling through psychophysical testing has been applied in order to provide insight of the underlying mechanisms of persistent pain. Thereafter, guidance for personalised pain medicine through mechanism-based treatments is a key goal for many chronic pain types61,62,63,64. However, a frustratingly disparate range of psychophysical trials exists in the literature for the PD patient cohort, where significant differences in the type of pain considered and methodologies employed leads to incomplete conclusions, as discussed below.
Psychophysical testing in people with PD
It is documented that PD patients have hyperalgesic responses upon psychophysical testing compared to healthy controls65,66,67,68,69,70,71,72,73. Two recently published systematic reviews found the differences in PD patients’ sensitivity to pain to be significantly different from non-PD populations74,75. However, the data are inconsistent43,76,77,78,79 and considerable clinical heterogeneity and methodological inconsistencies throughout the literature limits comparison between studies and thus the clinical applicability of the findings. In total (1) failure to control for the clinical heterogeneity of people with PD including the correct characterisation of the pain type being assessed, and (2) methodological inconsistencies when performing the experimental quantification of pain impairs reliability between studies and contributes to the contradictory findings in the PD pain psychophysics literature. A lack of standardised pain definitions has led not only to result-impacting differences in inclusion and exclusion criteria, but also to result-impacting differences in the pain outcomes assessed. Additionally, on the whole, previous studies appear often underpowered, open label and missing relevant comparator groups. Future studies should include larger sample sizes and standardised pain classification (for example the KPPS) and methodological approaches in order to investigate the aetiology underlying different types of pain in PD, as each have unique mechanisms that need to be thoroughly understood in order to establish individualised therapeutic intervention.
Clinical heterogeneity
One of the major issues with psychophysical testing in terms of pain studies in PD patient cohorts is that, despite a high prevalence of persistent pain, many participants tested do not actually suffer from persistent pain77,80,81,82. Worse still, patients with and without persistent pain may be grouped into one PD patient group80,81. In studies where people with PD with and without persistent pain are segregated, a lack of appropriate pain classification means that identification of whether pain status is the driver of potential altered psychophysical responses in comparison to healthy volunteers is complicated. As such, the substantial clinical heterogeneity within cohorts of PD patients influences psychophysical responses differentially leading to equivocal conclusions.
The presence and categorisation of clinical pain, prescription of levodopa, disease severity, age, PD sub-types and symptomatic laterality (i.e. unilateral or bilateral), differed among the trials that were researched during our literature search. Regarding persistent pain characterisation, undefined clinical pain was often a criteria for exclusion83,84,85, or not reported79,86. This is an issue when considering that it is well established that the presence of clinical pain, both persistent and acute, influences the way in which an individual reports their pain perception87,88. It is also a problem when considering that the pain type experienced by people with PD may influence the effect of dopaminergic medication, evidenced by Levodopa worsening dystonic pain89 but improving musculoskeletal pain90. The influence of Levodopa on psychophysical responses has been investigated in PD populations, but with conflicting results49,72,91. A meta-analysis by Thompson et al.75, revealed that pain threshold values in PD patients were significantly attenuated following Levodopa administration, suggesting that dopamine deficient states may contribute to hyperalgesia. However, interpretation of the literature is limited due to the variable nature of the methodologies utilised (see section below) and results reported, where the paramount concern regarding consistent pain assessment and classification was not considered between studies. The inconsistent reporting of pain type or even presence of persistent pain contributes to inconsistencies within the evidence, and standardised reporting and classification of pain is imperative if valuable conclusions are to be drawn. Several studies directly investigated the influence of clinical pain on psychophysical responses by comparing PD patients with pain against those without. Most reported that the presence of pain increased pain sensitivity33,92,93,94. However, several dispute these findings, reporting the presence of pain had no such influence72,73,76,95,96. These inconsistencies may be in part explained by the low statistical power of the trials as, of the studies that report clinical pain had no influence on psychophysical responses, only one included a cohort of more than 15 PD patients with pain74. Small sample sizes are confounded by considerable variability of pain characteristics across those studies cited, including primary central pain, musculoskeletal pain with dystonia, mixed non-dystonic, or undescribed pain. The inconsistent classification of pain is likely due to a previous lack of consensus regarding the appropriate assessment and classification of pain in PD97.
Methodological inconsistencies
Identifying whether or not there is a difference in QST, TS and/or CPM responses in people with PD with persistent pain is hampered by the fact that, for many of the human psychophysical paradigms used, there is no consensus on the gold standard methodological approach. This is especially an issue when considering CPM paradigms where the variability between testing and conditioning stimuli is high. Previous evidence of a negative correlation between PD severity and CPM responses77, and a high prevalence of persistent pain in late-stage PD98, suggests that, as with other chronicities58,99,100, impaired descending pain modulation may develop early in PD, and worsen with disease progression. However few clinical trials have investigated CPM functionality in PD patients and no significant difference in CPM response between PD patients and healthy controls has been reported in four studies69,77,80,96. However, the testing and conditioning stimuli varied between the studies and only one study used an individually calibrated conditioning stimulus69. This latter point is a vital consideration if only acknowledging the fact that pain perception is inherently subjective, so what is threshold noxious to one individual may be intolerable to another. A considerable methodological limitation, evidenced principally by the failure in all but one study61 in successfully eliciting a CPM response in healthy control subjects, means that no conclusions regarding the functionality of the endogenous descending pain-inhibitory pathways in people with PD can even be drawn; it should not be possible to state that CPM functionality is maladaptive in PD patients if functionality cannot be demonstrated in the healthy population with the paradigm applied.
The major variable factor with QST studies is the method by which thresholds are determined, and therefore some are vulnerable to overestimation of pain thresholds101. When reviewing case controlled QST studies to investigate pain in a PD population, only one used the standardised DFNS protocol76. Additionally, control for dopaminergic medication was inconsistent with one assessing QST in drug naïve patients76. Exclusion criterias were generally consistent throughout the literature with some notable variation. Depression was screened for a handful of studies with some using tools that have been previously validated for screening in a PD population102 while two studies did not exclude patients who suffered from chronic pain unrelated to PD68,72. While assessment of PD pain was completed with the Ford classification in six studies, an informal pain assessment was completed in two others72,103 and pain was not classified at all in one81. Pain status was used to compare outcomes in several studies68,69,72,76,92. No effect of pain status was found on pain thresholds, except for one electrical pain threshold outcome92.
Mechanisms that contribute to persistent pain in PD
As the field progresses psychophysical testing has the potential to advance our understanding of persistent pain in PD by elucidating the mechanisms which underlie pain in PD, and in doing so, identifying subgroups of patients with susceptibility to developing persistent pain while assisting in the development and monitoring of personalised pain management strategies for these patients.
Initiation, propagation and maintenance of the pain state
While we do not know the underlying mechanisms that drive PD singular, persistent pain singular, nor persistent pain in PD, bench and bedside research investigative efforts have partially defined some of the factors important in the initiation, propagation and maintenance of each. Continued forward and back translational preclinical and clinical research will provide comprehensive disease pathology insight and guide towards a mechanism based (as opposed to a disease based) therapeutic approach to facilitate analgesic target identification. Psychophysical testing in humans, with its promise to link animal and clinical pain studies, is essential to fully understand the mechanisms that contribute to the development of persistent pain.
Hyperalgesic responses in PD may be attributed to excitability in dorsal horn neurons, evidenced by enhanced facilitatory responses to noxious stimuli in TS and nociceptive withdrawal (NWR) paradigms. Enhanced spinal nociception with reduced NWR thresholds to electrical stimuli was found in PD patients with pain69 and without pain49 indicating that the central sensitisation and facilitation of nociceptive inputs may contribute to hyperalgesic psychophysical responses in PD71,75. In addition, several studies report significantly increased sensitivity to the TS of pain in PD patients compared with controls65,66,70,71. Cumulatively these data suggest that a functional enhancement of nociceptive transmission could mediate persistent pain in PD. Enhanced pain responses may be consequential to impairments within supraspinal pain-modulating pathways as dysfunction in striatal adreno-dopaminergic inhibitory projections to the dorsal horn have been shown to result in inefficient attenuation of neuronal responses104 and are impaired in several persistent pain conditions including PD105,106,107. Functional magnetic resonance imaging (fMRI) techniques also reveal higher activation of somatosensory brain regions in PD patients compared with healthy controls43,65,83. While discussion of fMRI studies in PD is beyond the scope of this review, cumulatively the data indicate abnormal central nociceptive processing and central sensitisation, which may contribute to hyperalgesic psychophysical responses and the development of persistent pain in PD.
Pathological links between PD and persistent pain
Do central processing abnormalities act as a catalyst for developing persistent pain in PD? And are they linked to those acting as a catalyst for the development of PD itself? We know that maladaptive central nervous system plasticity underlies the aetiology of PD, while multiple lines of evidence demonstrate that one important mechanism underpinning varied persistent pain states is maladaptive plasticity in central descending inhibitory pathways. Unique descending inhibitory pathways, including diffuse noxious inhibitory controls (DNIC), are sub-served by monoaminergic neurotransmission53,108, and monoaminergic neurotransmission is affected by PD-specific neurodegenerative changes already at the prodromal stage of the disease109. It is possible that there is a link between an underlying mechanism of PD and the development of persistent pain, where an established link could be therapeutically targeted thus improving not only the level of pain experienced by the affected individual, but also PD progression. Performing the appropriately powered human psychophysics pain experimental quantification studies would have the potential to contribute to our understanding of how the nervous system acts endogenously to modulate pain perception in PD, reveal whether this is linked to the aetiology of PD, and therefore unveil targets for intervention in the management of chronic pain in a personalised manner.
Recommendations for future research
Standardised testing and powered cohorts
Future research should control for confounding factors by standardising variables across laboratories. For example, the presence of pain should be classified according to an internationally validated scale, e.g. the KPPS. PD sub-types should be standardised according to an internationally verified method. Although there is no gold standard for sub-type classification, distinctions have been made between tremor-dominant and non-tremor-dominant sub-types110, and by using UPDRS-III sub-type-based classifications111. It is recommended that future studies should classify sub-types according to the German AWMF guidelines (i.e. tremor-dominant, akinetic-rigid and mixed-type sub-types, as this is the most frequently reported categorisation in the PD literature76,80,96. In addition, poor blinding of assessors was prevalent throughout the literature, an issue not limited to PD studies but apparent throughout the pain psychophysics literature. It is recommended psychophysical studies utilise the QAREL checklist112 to ensure methodological quality and diagnostic reliability. And finally, the majority of studies were underpowered to assess pain due to inadequate sample sizes, meaning drawing statistically reliable conclusions was not possible. Future studies should include large sample sizes and be conducted across multiple centres. A Bayesian statistical approach would represent an appropriate way to provide deeper insights into potential group differences (i.e. between pain types, among sub-types, etc.).
Conclusion
Nigrostriatal degeneration and Lewy body pathology in key structures involved with pain perception and modulation may predispose individuals with PD to the development of persistent pain early in the prodromal phase. This is evident clinically as persistent pain often precedes the cardinal motor signs of the disease. Pain sensitivity scales with PD severity with psychophysical pain thresholds and CPM responses negatively correlated with disease progression, likely contributing to the observed high prevalence of pain in late-stage PD. Overlapping pathophysiological mechanisms are common to the development of the two disease states (persistent pain and Parkinson’s) and this becomes more clinically and behaviourally relevant as the disease progresses. Psychophysical testing is a crucial clinical investigative technique that has the potential to advance our understanding of pain in PD and reach the goal of personalised pain management by (1) elucidating the mechanisms that underlie pain in PD, (2) identifying subgroups of patients susceptible to developing persistent pain and (3) assisting in the prescription and monitoring of mechanism-based neurotherapeutic treatment in these patients. A lack of standardisation amongst laboratories limits the comparability of studies and is a major drawback for understanding the relevance of these paradigms in relation to dysfunctional mechanisms that contribute to pain in PD. There is an urgent need for an internationally agreed definition of pain in PD and a universally agreed consensus on protocols to perform dynamic psychophysical testing. Clarity in this regard will expedite the process of improved analgesic outcomes for those affected individuals.
References
Global Burden of Disease Parkinson’s Reviews. Global, regional, and national burden of Parkinson’s disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 17, 939–953 (2016).
Bonifati, V. et al. Mutations in the DJ-1 gene associated with autosomal recessive early-onset parkinsonism. Science 299, 256–259 (2003).
Hauser, D. N. & Hastings, T. G. Mitochondrial dysfunction and oxidative stress in Parkinson’s disease and monogenic parkinsonism. Neurobiol. Dis. Mar. 51, 35–42 (2013).
Hicks, A. A. et al. A susceptibility gene for late-onset idiopathic Parkinson’s disease. Ann. Neurol. 52, 549–555 (2002).
Lautier, C. et al. Mutations in the GIGYF2 (TNRC15) gene at the PARK11 locus in familial Parkinson disease. Am. J. Hum. Genet. 82, 822–833 (2008).
Paisan-Ruiz, C. et al. Characterization of PLA2G6 as a locus for dystonia-parkinsonism. Ann. Neurol. 65, 19–23 (2009).
Simón-Sánchez, J. et al. Genome-wide association study reveals genetic risk underlying Parkinson’s disease. Nat. Genet. 41, 1308–1312 (2009).
Burke, R. E. & O’Malley, K. Axon degeneration in Parkinson’s disease. Exp. Neurol. 246, 72–83 (2013).
Reichmann, H. Clinical criteria for the diagnosis of Parkinson’s disease. Neurodegener. Dis. 7, 284–290 (2010).
Hawkes, C. H. et al. A timeline for Parkinson’s disease. Parkinsonism Relat. Disord. 16, 79–84 (2010).1.
Chaudhuri, K. R. et al. The nondeclaration of nonmotor symptoms of Parkinson’s disease to health care professionals: an international study using the nonmotor symptoms questionnaire. Mov. Disord. 25, 704–709 (2010).
Chaudhuri, K. R., Healy, D. G., Schapira, A. H. V. & National Institute for Clinical Excellence. Non-motor symptoms of Parkinson’s disease: diagnosis and management. Lancet Neurol. 5, 235–245 (2006).
Gómez-Esteban, J. C. et al. Influence of motor symptoms upon the quality of life of patients with Parkinson’s disease. Eur. Neurol. 57, 161–165 (2007).
Martinez-Martin, P., Rodriguez-Blazquez, C., Kurtis, M. M. & Chaudhuri, K. R., NMSS Validation Group. The impact of non-motor symptoms on health-related quality of life of patients with Parkinson’s disease. Mov. Disord. 26, 399–406 (2011). 15.
Soh, S.-E., Morris, M. E. & McGinley, J. L. Determinants of health-related quality of life in Parkinson’s disease: a systematic review. Parkinsonism Relat. Disord. 17, 1–9 (2011).
Beiske, A. G., Loge, J. H., Rønningen, A. & Svensson, E. Pain in Parkinson’s disease: prevalence and characteristics. Pain 141, 173–177 (2009).
Silverdale, M. A. et al. A detailed clinical study of pain in 1957 participants with early/moderate Parkinson’s disease. Parkinsonism Relat. Disord. 56, 27–32 (2018).
Valkovic, P. et al. Pain in Parkinson´s disease: a cross-sectional study of its prevalence, types, and relationship to depression and quality of life. PLoS ONE 10, e0136541 (2015).
Buhmann, C. et al. Pain in Parkinson disease: a cross-sectional survey of its prevalence, specifics, and therapy. J. Neurol. 264, 758–769 (2017).
Antonini, A. et al. Pain in Parkinson’s disease: facts and uncertainties. Eur. J. Neurol. 25, 917–969 (2018).
Fil, A. et al. Pain in Parkinson disease: a review of the literature. Parkinsonism Relat. Disord. 19, 285–294 (2013).
Cuomo, A. et al. Toward ore focused multimodal and multidisciplinary approaches for pain management in Parkinson’s disease. J. Pain Res. 12, 2201–2209 (2019).
Rukavina, K. et al. Pain in Parkinson’s disease: new concepts in pathogenesis and treatment. Curr. Opin. Neurol. 32, 579–588 (2019).
Chaudhuri, K. R. & Schapira, A. H. V. Non-motor symptoms of Parkinson’s disease: dopaminergic pathophysiology and treatment. Lancet Neurol. 8, 464–474 (2009).
Martinez-Martin, P. et al. EuroInf: a multicenter comparative observational study of apomorphine and levodopa infusion in Parkinson’s disease. Mov. Disord. 30, 510–516 (2015).
Ford, B. Pain in Parkinson’s disease. Mov. Disord. 25, 98–103 (2010).
Lee, M. A., Walker, R. W., Hildreth, T. J. & Prentice, W. M. A survey of pain in idiopathic Parkinson’s disease. J. Pain Symptom Manag. 32, 462–469 (2006).
Nebe, A. & Ebersbach, G. Pain intensity on and off levodopa in patients with Parkinson’s disease. Mov. Disord. 24, 1233–1237 (2009).
Ghys, L., Surmann, E., Whitesides, J. & Boroojerdi, B. Effect of rotigotine on sleep and quality of life in Parkinson’s disease patients: post hoc analysis of RECOVER patients who were symptomatic at baseline. Expert Opin. Pharmacother. 12, 1985–1998 (2011).
Rascol, O. et al. A randomized controlled exploratory pilot study to evaluate the effect of Rotigotine transdermal patch on Parkinson’s disease-associated chronic pain. J. Clin. Pharmacol. 56, 852–861 (2016).
Chaudhuri, K. R. et al. The metric properties of a novel non-motor symptoms scale for Parkinson’s disease: Results from an international pilot study. Mov. Disord. 22, 1901–1911 (2007).
Trenkwalder, C. et al. Prolonged-release oxycodone-naloxone for treatment of severe pain in patients with Parkinson’s disease (PANDA): a double-blind, randomised, placebo-controlled trial. Lancet Neurol. 14, 1161–1170 (2015).
Djaldetti, R. et al. Quantitative measurement of pain sensation in patients with Parkinson disease. Neurology 62, 2171–2175 (2004).
Seppi, K. et al. Update on treatments for nonmotor symptoms of Parkinson’s disease—an evidence-based medicine review. Mov. Disord. 34, 180–198 (2019).
Blanchet, P. J. & Brefel-Courbon, C. Chronic pain and pain processing in Parkinson’s disease. Prog. Neuropsychopharmacol. Biol. Psychiatry 87(Pt B), 200–206 (2018).
Chaudhuri, K. R. et al. King’s Parkinson’s disease pain scale, the first scale for pain in PD: an international validation. Mov. Disord. 30, 1623–1631 (2015).
Gilron, I., Baron, R. & Jensen, T. Neuropathic pain: principles of diagnosis and treatment. Mayo Clin. Proc. 90, 532–545 (2015).
Treede, R.-D. et al. Chronic pain as a symptom or a disease: the IASP Classification of Chronic Pain for the International Classification of Diseases (ICD-11). Pain 160, 19–27 (2019).
Borsook, D., Edwards, R., Elman, I., Becerra, L. & Levine, J. Pain and analgesia: the value of salience circuits. Prog. Neurobiol. 104, 93–105 (2013).
Aguilera, B. Nonconscious pain, suffering, and moral status. Neuroethics 13, 337–345 (2020).
Terry, M. J., Moeschler, S. M., Hoelzer, B. C. & Hooten, W. M. Pain catastrophizing and anxiety are associated with heat pain perception in a community sample of adults with chronic pain. Clin. J. Pain 32, 875–881 (2016).
Klauenberg, S. et al. Depression and changed pain perception: hints for a central disinhibition mechanism. Pain 140, 332–343 (2008).
Forkmann, K. et al. Altered neural responses to heat pain in drug-naive patients with Parkinson disease. Pain 158, 1408–1416 (2018).
Colloca, L. et al. Neuropathic pain. Nat. Rev. Dis. Prim. 3, 1–19 (2017).
Rolke, R. et al. Quantitative sensory testing in the German Research Network on Neuropathic Pain (DFNS): standardized protocol and reference values. Pain 123, 231–243 (2006).
Magerl, W. et al. Reference data for quantitative sensory testing (QST): refined stratification for age and a novel method for statistical comparison of group data. Pain 151, 598–605 (2010).
Lin, C.-H. et al. Pathophysiology of small-fiber sensory system in Parkinson’s disease: skin innervation and contact heat evoked potential. Medicine 95, 30–58 (2016).
Nolano, M. et al. Sensory deficit in Parkinson’s disease: evidence of a cutaneous denervation. Brain 131, 1903–1911 (2008).
Gerdelat, A. et al. Levodopa raises objective pain threshold in Parkinson’s disease: a RIII reflex study. J. Neurol. Neurosurg. Psychiatry 78, 1140–1142 (2007).
Polli, A. et al. Anatomical and functional correlates of persistent pain in Parkinson’s disease. Mov. Disord. 31, 1854–1864 (2016).
Skljarevski, V. & Ramadan, N. M. The nociceptive flexion reflex in humans–review article. Pain 96, 3–8 (2002).
Bingel, U., Tracey, I. & Imaging, C. N. S. modulation of pain in humans. Physiology 23, 371–380 (2008).
Bannister, K., Patel, R., Gonçalves, L., Townson, L. & Dickenson, A. Diffuse noxious inhibitory controls and nerve injury: Restoring an imbalance between descending monoamine inhibitions and facilitations. Pain 156, 1083 (2015).
Le Bars, D., Dickenson, A. H. & Besson, J. M. Diffuse noxious inhibitory controls (DNIC). I. Effects on dorsal horn convergent neurones in the rat. Pain 6, 283–304 (1979).
Cummins, T. M., Kucharczyk, M. M., Graven-Nielsen, T. & Bannister, K. Activation of the descending pain modulatory system using cuff pressure algometry: back translation from man to rat. Eur. J. Pain 24, 1330–1338 (2020).
Yarnitsky, D. Conditioned pain modulation (the diffuse noxious inhibitory control-like effect): its relevance for acute and chronic pain states. Curr. Opin. Anaesthesiol. 23, 611–615 (2010).
Arendt-Nielsen, L., Brennum, J., Sindrup, S. & Bak, P. Electrophysiological and psychophysical quantification of temporal summation in the human nociceptive system. Eur. J. Appl Physiol. 68, 266–273 (1994).
Niesters, M. et al. Tapentadol potentiates descending pain inhibition in chronic pain patients with diabetic polyneuropathy. Br. J. Anaesth. 113, 148–156 (2014).
Yarnitsky, D., Granot, M., Nahman-Averbuch, H., Khamaisi, M. & Granovsky, Y. Conditioned pain modulation predicts duloxetine efficacy in painful diabetic neuropathy. Pain 153, 1193–1198 (2012).
Demant, D. T. et al. The effect of oxcarbazepine in peripheral neuropathic pain depends on pain phenotype: a randomised, double-blind, placebo-controlled phenotype-stratified study. Pain 155, 2263–2273 (2014).
Bannister, K., Sachau, J., Baron, R. & Dickenson, A. H. Neuropathic pain: mechanism-based therapeutics. Annu. Rev. Pharmacol. Toxicol. 60, 257–274 (2020).
Graven-Nielsen, T., Wodehouse, T., Langford, R. M., Arendt-Nielsen, L. & Kidd, B. L. Normalization of widespread hyperesthesia and facilitated spatial summation of deep-tissue pain in knee osteoarthritis patients after knee replacement. Arthritis Rheum. 64, 2907–2916 (2012).
Grosen, K., Fischer, I. W. D., Olesen, A. E. & Drewes, A. M. Can quantitative sensory testing predict responses to analgesic treatment? Eur. J. Pain 17, 1267–1280 (2013).
Kosek, E. & Ordeberg, G. Abnormalities of somatosensory perception in patients with painful osteoarthritis normalize following successful treatment. Eur. J. Pain 4, 229–238 (2000).
Aschermann, Z. et al. ‘Wind-up’ in Parkinson’s disease: a functional magnetic resonance imaging study. Eur. J. Pain 19, 1288–1297 (2015).
Avenali, M. et al. Pain processing in atypical Parkinsonisms and Parkinson disease: a comparative neurophysiological study. Clin. Neurophysiol. 128, 1978–1984 (2017).
Boura, E. et al. Is increased spinal nociception another hallmark for Parkinson’s disease? J. Neurol. 264, 570–575 (2017).
Chen, Y. et al. Quantitative and fiber-selective evaluation of pain and sensory dysfunction in patients with Parkinson’s disease. Parkinsonism Relat. Disord. 21, 361–365 (2015).
Mylius, V. et al. Pain sensitivity and descending inhibition of pain in Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry 80, 24–28 (2009).
Perrotta, A. et al. Enhanced temporal pain processing in multiple system atrophy. Neurosci. Lett. 555, 203–208 (2013).
Perrotta, A. et al. Facilitated temporal summation of pain at spinal level in Parkinson’s disease. Mov. Disord. 26, 442–448 (2011).
Vela, L. et al. Thermal and mechanical pain thresholds in patients with fluctuating Parkinson’s disease. Parkinsonism Relat. Disord. 18, 953–957 (2012).
Zambito Marsala, S. et al. Spontaneous pain, pain threshold, and pain tolerance in Parkinson’s disease. J. Neurol. 258, 627–633 (2011).
Sung, S., Vijiaratnam, N., Chan, D. W. C., Farrell, M. & Evans, A. H. Parkinson disease: a systemic review of pain sensitivities and its association with clinical pain and response to dopaminergic stimulation. J. Neurol. Sci. 395, 172–206 (2018).
Thompson, T. et al. Pain perception in Parkinson’s disease: a systematic review and meta-analysis of experimental studies. Ageing Res. Rev. 35, 74–86 (2017).
Fründt, O. et al. Quantitative sensory testing (QST) in drug-naïve patients with Parkinson’s disease. J. Parkinsons Dis. 9, 369–378 (2019).
Granovsky, Y. et al. Asymmetric pain processing in Parkinson’s disease. Eur. J. Neurol. 20, 1375–1382 (2013).
Petschow, C. et al. Central pain processing in early-stage Parkinson’s disease: a laser pain fMRI study. PLoS ONE 11(Oct), 164–607 (2016).
Vela, L., Lyons, K. E., Singer, C. & Lieberman, A. N. Pain-pressure threshold in patients with Parkinson’s disease with and without dyskinesia. Parkinsonism Relat. Disord. 13, 189–192 (2007).
Grashorn, W. et al. Conditioned pain modulation in drug-naïve patients with de novo Parkinson’s disease. Neurol. Res. Pract. 1, 19–29 (2019).
Priebe, J. A., Kunz, M., Morcinek, C., Rieckmann, P. & Lautenbacher, S. Does Parkinson’s disease lead to alterations in the facial expression of pain? J. Neurol. Sci. 359, 226–235 (2015).
Priebe, J. A., Kunz, M., Morcinek, C., Rieckmann, P. & Lautenbacher, S. Electrophysiological assessment of nociception in patients with Parkinson’s disease: a multi-methods approach. J. Neurol. Sci. 368, 59–69 (2016).
Brefel-Courbon, C. et al. Effect of levodopa on pain threshold in Parkinson’s disease: a clinical and positron emission tomography study. Mov. Disord. 20, 1557–1563 (2005).
Tinazzi, M. et al. Hyperalgesia and laser evoked potentials alterations in hemiparkinson: evidence for an abnormal nociceptive processing. J. Neurol. Sci. 276, 153–158 (2009).
Zambito-Marsala, S. et al. Abnormal nociceptive processing occurs centrally and not peripherally in pain-free Parkinson disease patients: a study with laser-evoked potentials. Parkinsonism Relat. Disord. 34, 43–48 (2017).
Perrotta, A. et al. Abnormal head nociceptive withdrawal reaction to facial nociceptive stimuli in Parkinson’s disease. Clin. Neurophysiol. 116, 2091–2098 (2005).
Damien, J., Colloca, L., Bellei-Rodriguez, C.-É. & Marchand, S. Pain modulation: from conditioned pain modulation to placebo and nocebo effects in experimental and clinical pain. Int. Rev. Neurobiol. 139, 255–296 (2018).
Klyne, D. M., Moseley, G. L., Sterling, M., Barbe, M. F. & Hodges, P. W. Individual variation in pain sensitivity and conditioned pain modulation in acute low back pain: effect of stimulus type, sleep, and psychological and lifestyle factors. J. Pain 19, 942–948 (2018).
Tolosa, E. & Compta, Y. Dystonia in Parkinson’s disease. J. Neurol. 253(Suppl 7), 12–13 (2007).
Ha, A. D. & Jankovic, J. Pain in Parkinson’s disease. Mov. Disord. 27, 485–491 (2012).
Nandhagopal, R. et al. Response to heat pain stimulation in idiopathic Parkinson’s disease. Pain Med. 11, 834–840 (2010).
Mylius, V. et al. Pain sensitivity and clinical progression in Parkinson’s disease. Mov. Disord. 26, 2220–2225 (2011).
Schestatsky, P. et al. Neurophysiologic study of central pain in patients with Parkinson disease. Neurology 69, 2162–2169 (2007).
Urakami, K. et al. The threshold of pain and neurotransmitter’s change on pain in Parkinson’s disease. Psychiatry Clin. Neurosci. 44, 589–593 (1990).
Brefel-Courbon, C., Ory-Magne, F., Thalamas, C., Payoux, P. & Rascol, O. Nociceptive brain activation in patients with neuropathic pain related to Parkinson’s disease. Parkinsonism Relat. Disord. 19, 548–552 (2013).
Grashorn, W. et al. Influence of dopaminergic medication on conditioned pain modulation in Parkinson’s disease Patients. PLoS ONE 10, 135–287 (2015).
Young Blood, M. R., Ferro, M. M., Munhoz, R. P., Teive, H. A. G. & Camargo, C. H. F. Classification and characteristics of pain associated with Parkinson’s disease. Parkinsons Dis. 2016, 60–132 (2016).
Wasner, G. & Deuschl, G. Pains in Parkinson disease–many syndromes under one umbrella. Nat. Rev. Neurol. 8, 284–294 (2012).
Bannister, K. Descending pain modulation: influence and impact. Curr. Opin. Physiol. 11, 62–66 (2019).
Ossipov, M. H., Dussor, G. O. & Porreca, F. Central modulation of pain. J. Clin. Invest. 120, 3779–3787 (2010).
Chong, P. S. T. & Cros, D. P. Technology literature review: quantitative sensory testing. Muscle Nerve. 29, 734–747 (2004).
Schrag, A. et al. Depression rating scales in Parkinson’s disease: critique and recommendations. Mov. Disord. 22, 1077–1092 (2007).
Stamelou, M. et al. Clinical pain and experimental pain sensitivity in progressive supranuclear palsy. Parkinsonism Relat. Disord. 18, 606–608 (2012).
Wei, H. & Pertovaara, A. Spinal and pontine alpha2-adrenoceptors have opposite effects on pain-related behavior in the neuropathic rat. Eur. J. Pharmacol. 551, 41–49 (2006).
Abdallah, K., Monconduit, L., Artola, A., Luccarini, P. & Dallel, R. GABAAergic inhibition or dopamine denervation of the A11 hypothalamic nucleus induces trigeminal analgesia. Pain 156, 644–655 (2015).
Hagelberg, N. et al. Striatal dopamine D2 receptors in modulation of pain in humans: a review. Eur. J. Pharmacol. 500, 187–192 (2004).
Politis, M., Wilson, H., Wu, K., Brooks, D. J. & Piccini, P. Chronic exposure to dopamine agonists affects the integrity of striatal D2 receptors in Parkinson’s patients. Neuroimage Clin. 16, 455–460 (2017).
Bannister, K. & Dickenson, A. H. What do monoamines do in pain modulation? Curr. Opin. Support Palliat. Care. 10, 143–148 (2016).
Sauerbier, A., Qamar, M. A., Rajah, T. & Chaudhuri, K. R. New concepts in the pathogenesis and presentation of Parkinson’s disease. Clin. Med. 16, 365–370 (2016).
Thenganatt, M. A. & Jankovic, J. Parkinson disease subtypes. JAMA Neurol. 71, 499–504 (2014).
Fahn, S. & Elton, R. in Developments in Parkinson’s Disease. 2nd edn. 153–163 (Macmillan Healthcare Information, 1987).
Lucas, N. P., Macaskill, P., Irwig, L. & Bogduk, N. The development of a quality appraisal tool for studies of diagnostic reliability (QAREL). J. Clin. Epidemiol. 63, 854–861 (2010).
Acknowledgements
K.B. is funded by an Academy of Medical Sciences grant (SBF004\1064). We would like to thank Professor Stephen B. McMahon (King’s College London) for securing funding for TMC.
Author information
Authors and Affiliations
Contributions
K.B. led the literature review; R.S. and P.W. performed the literature review; K.B., R.S., P.W., and T.C. wrote the review. All authors provided substantial contributions to the design of the work, drafted the work critically for important intellectual content, gave their final approval of the completed version and take accountability for ass aspects of the work.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Bannister, K., Smith, R.V., Wilkins, P. et al. Towards optimising experimental quantification of persistent pain in Parkinson’s disease using psychophysical testing. npj Parkinsons Dis. 7, 28 (2021). https://doi.org/10.1038/s41531-021-00173-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41531-021-00173-y
This article is cited by
-
Stress-related cellular pathophysiology as a crosstalk risk factor for neurocognitive and psychiatric disorders
BMC Neuroscience (2023)
-
Immune-microbiome interplay and its implications in neurodegenerative disorders
Metabolic Brain Disease (2022)