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Pain sensitivity in migraine: specific alterations related to stimulus parameters and location

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Migraine is the second most prevalent neurological disorder [1] with prevalence of 11-23% worldwide  [2-6]. Understanding the mechanisms of migraine may be the key to identifying and developing new treatments. Quantitative sensory testing (QST) methods are established techniques to assess and measure pain sensitivity in order to gain insight into mechanisms. There are a large range of QST methodologies including evaluation of detection thresholds, responsiveness to noxious stimuli, and pain modulation capabilities. In addition, there are also a large range of modalities of stimuli, including thermal, mechanical, electrical and chemical stimuli.

In QST studies of migraine, there is substantial variation across studies.  The large variability in the findings of different QST studies may be the result of the large variability of QST parameters tested. Thus, there is a need to integrate QST results across a wide array of studies in order to identify the QST parameters that are consistently different between patients with migraine and healthy controls. This will allow both researchers and clinicians to choose the QST method most likely to predict clinical outcome in migraine in a calculated, evidence-based manner. In our recent paper, [7] we performed a meta-analysis of studies comparing QST parameters between patients with migraine and healthy controls.

A literature search identified 109 studies which were included in the qualitative comprehensive review. 65 studies were included in the meta-analysis. When possible, we performed meta-analyses based on stimulation regions: combined (combined data of multiple testing locations), local (head and neck which are testing regions that are spatially associated with migraine pain), and non-local (outside the neck or head – testing regions not associated with migraine pain) for each QST modality.

Several QST parameters were identified as significantly different between migraine patients and healthy controls. Lower heat and pressure pain thresholds were observed in migraine patients compared to healthy controls in the combined locations. Importantly, differences in pressure pain thresholds were found in local, but not non-local regions, suggesting that alterations in pressure pain sensitivity in migraine patients are more pronounced in the regions of migraine pain. In addition, migraine patients had greater pain ratings to noxious cold stimuli for the combined and non-local regions (a meta-analysis of the local regions was not performed due to the small number of studies in this category) and for electrical stimuli for the non-local region. These QST parameters may be relevant for future migraine studies.

Extensive research in migraine patients has been conducted using QST. Still, our review identified some areas where more research is needed. There is a need for more studies on inhibitory and faciliatory mechanisms. Pain modulation capabilities can be assessed using various paradigms such as conditioned pain modulation, offset analgesia, pain adaptation and temporal summation, possibly representing different inhibitory and faciliatory mechanisms. Surprisingly, some of these measures have not yet been examined in migraine patients. In addition, pediatric migraine, while highly prevalent, has only limited studies dedicated to this population [8-12]. More QST studies are needed to better understand alterations in children and adolescents with migraine.

We suggest that migraine patients, compared to healthy controls, do not show overall higher pain sensitivity but rather a more selective increased in sensitivity only for specific stimuli and locations. Thus, the current meta-analysis allows a better selection of QST measure in an evidence-based way. We recommend the use of these stimuli in future migraine studies.

About Hadas Nahman-Averbuch

Dr Nahman-Averbuch is a postdoctoral research fellow at Cincinnati Children’s Hospital. Her current research focuses on hormonal and neural changes during puberty and their effect on pain.

References

  1. Global, regional, and national burden of neurological disorders during 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Neurol, 2017. 16(11): p. 877-897.
  2. Lipton, R.B. and S.D. Silberstein, Episodic and chronic migraine headache: breaking down barriers to optimal treatment and prevention. Headache, 2015. 55 Suppl 2: p. 103-22; quiz 123-6.
  3. Lipton, R.B., et al., Migraine prevalence, disease burden, and the need for preventive therapy. Neurology, 2007. 68(5): p. 343-9.
  4. Goadsby, P.J., et al., Pathophysiology of Migraine: A Disorder of Sensory Processing. Physiol Rev, 2017. 97(2): p. 553-622.
  5. Krogh, A.B., B. Larsson, and M. Linde, Prevalence and disability of headache among Norwegian adolescents: A cross-sectional school-based study. Cephalalgia, 2015. 35(13): p. 1181-91.
  6. Vetvik, K.G. and E.A. MacGregor, Sex differences in the epidemiology, clinical features, and pathophysiology of migraine. Lancet Neurol, 2017. 16(1): p. 76-87.
  7. Nahman-Averbuch, H., et al., Quantitative sensory testing in patients with migraine: a systemic review and meta-analysis. Pain, 2018.
  8. Metsahonkala, L., et al., Extracephalic tenderness and pressure pain threshold in children with headache. Eur J Pain, 2006. 10(7): p. 581-5.
  9. Zohsel, K., et al., Altered pain processing in children with migraine: an evoked potential study. Eur J Pain, 2008. 12(8): p. 1090-101.
  10. Zohsel, K., et al., Quantitative sensory testing in children with migraine: preliminary evidence for enhanced sensitivity to painful stimuli especially in girls. Pain, 2006. 123(1-2): p. 10-8.
  11. Ferracini, G.N., et al., A comparison pressure pain threshold in pericranial and extracephalic regions in children with migraine. Pain Med, 2014. 15(4): p. 702-9.
  12. de Tommaso, M., et al., Laser-evoked potential habituation and central sensitization symptoms in childhood migraine. Cephalalgia, 2016. 36(5): p. 463-73.

 

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