Background & Aims

Central poststroke pain is an enigma in clinical pain medicine. Ideas about pathophysiology have been developed (maladaptive reorganization, spontaneous activity of central neurons)[1], but specific mechanisms explaining the symptoms are still unknown. Pain inhibition might predict the development of chronic pain. We investigated the pain inhibitory control in patients acutely after stroke and the fuctional brain network associated with possible deficits.

Methods

83 patients (mean age: 65.6 ± 13.3; 23 women, n = 21 cerebellar stroke) completed assessment of conditioned pain modulation (CPM) 2-7 days after acute ischemic stroke. 17 healthy subjects (mean age: 57.3 ± 8.2; 9 women) served as a reference group. A phasic painful stimulus estimated by the individual pain threshold plus 3°C was applied as test stimulus. A tonic nociceptive stimulus of 43°C (water bath) was used for conditioning. The test stimulus was rated on a numerical rating scale (NRS 0-100) alone and under conditioning. CPM was assessed bilaterally at hands dorsum. The CPM score was quantified as the difference of the ratings under conditioning and the single run. Negative CPM scores indicate pain inhibition. Lesion pattern generated from an independent component analysis (ICA) were seeded in the resting-state fMRIs (rs-fMRIs) of 50 age stratified healthy controls (AgeGain Study Group, Mainz, Germany). Whole brain effective connectivity analyses were then performed.

Results

All healthy controls had effective CPM without body side differences, while about 1/3 of stroke patients had no CPM on both body sides. In patients, a stronger inhibition took place on the contralesional side. Compared to the mean scores of the healthy controls, CPM scores indicated significantly less pain inhibition in patients.
CPM performance after acute lesion was predominantly associated with the somatosensory-motor, default mode and salience ventral attentional networks for CPM at the contralesional body side, and with the somatosensory-motor and the limbic networks for CPM at the ipsilesional body side. We then followed the lesion-network connectivity approach utilized by Boes et al.[2]. Individual lesions were seeded in rs-fMRIs of controls and whole brain connectivity was estimated for each patient. Network maps were then overlaid. For specifying the network which is responsible for deficient (absent) CPM, an analysis was performed on data of patients having a CPM score ? 0 (n = 24). We identified brain areas that are well known to be involved in pain control like the orbitofrontal cortex or the cingulate but also to less familiar brain regions like the cerebellum.

Conclusions

A subpopulation of acute stroke patients showed deficient pain inhibition associated with a network incorporating brain areas known to be involved in pain control.

References

1.Klit, H., N.B. Finnerup, and T.S. Jensen, Central post-stroke pain: clinical characteristics, pathophysiology, and management. Lancet Neurol, 2009. 8(9): p. 857-68.
2.Boes, A.D., et al., Network localization of neurological symptoms from focal brain lesions. Brain, 2015. 138(Pt 10): p. 3061-75.

Acknowledgment: The work was supported by the Deutsche Forschungsgemeinschaft (DFG, grant numbers Bi579/11-1 to FB, BA4097/3-1 to BB and MU4354/1-1 to MM).

Presenting Author

Violeta Dimova

Poster Authors

Violeta Dimova

PhD

Department of Neurology, University Medical Center, Mainz, Germany

Lead Author

Andrea Kronfeld

Department of Neuroradiology, University Medical Center Mainz, Germany

Lead Author

Claudia Welte-Jzyk

Department of Neurology, University Medical Center, Mainz, Germany

Lead Author

Oliver Korczynski

Department of Neuroradiology, University Medical Center Mainz, Germany

Lead Author

Bernhard Baier

Department of Neurology, Edith-Stein Fachklinik for Neurorehabilitation, Bad Bergzabern, Germany

Lead Author

Bianca Kollmann

Leibniz Institute for Resilience Research (LIR) gGmbH, Mainz, Germany

Lead Author

Oliver Tüscher

Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany

Lead Author

Marc A Brockmann

Department of Neuroradiology, University Medical Center Mainz, Germany

Lead Author

Muthuraman Muthuraman

Neural Engineering, University of Augsburg, Augsburg, Germany

Lead Author

Frank Birklein

Department of Neurology, University Medical Center, Mainz, German

Lead Author

Topics

  • Pain Imaging