Background & Aims

Chronic pain and major depressive disorder (MDD) present together disproportionally often [1,2]. Prior work has found impaired prefrontal-limbic regulation of pain processing in MDD patients which was not correlated to disease severity but to personality traits linked to emotion regulation: neuroti-cism, trait anxiety and pain related catastrophizing (PCS) [3]. Additionally, mood, neuroticism and sleep quality had the highest predictive value for the number of pain sites in acute and chronic pain patients in a recent UK biobank study (N= 493,211) [4]. Increased affective processing may affect the descending pain modulation system – a complex network of neural pathways, brain regions, mid-brain- and brain-stem areas that modulate nociceptive processing at the spinal level [5,6]. Here we aimed to study the dimensional link between the psychological risk architecture and nociceptive pro-cessing alterations in different participants suffering from MDD, primary or secondary chronic pain.

Methods

Here we analyzed a subset of data of a cross-sectional study that included neurophysiological testing (Quantitative Sensory Testing and Conditioned Pain Modulation paradigm) and questionnaires. The total sample (N = 175) consisted of 35 chronic secondary pain patients (CSP, 22 w.), 57 chronic pri-mary pain patients (CPP, 51 w.), 48 MDD patients (31 w.) and 35 healthy controls (21 women). We used Trait anxiety measured by Spielberger’s State Anxiety Inventory [7], Neuroticism measured by the NEO-Five Factor Inventory [8], PCS measured by the Pain Catastrophizing Scale [9] and sleep problems measured by MOS [10] as predictors in multi-level linear regression models computed with the package lme4 in RStudio. We included clinical pain intensity as covariate in the models. The pre-dicted outcome variables were results from neurophysiological testing (CPM effect, PPT) and ques-tionnaires (Widespread-Pain-Index [11], painDetect Score [12], Pain Sensitivity Questionnaire [13] and DN4 [14]).

Results

CPP and MDD patients showed the highest levels of trait anxiety (p <.001) and neuroticism (p <.001), while PCS was highest in the CPP followed by MDD and CSP group (p <.001). In the regression mod-els the PCS total score significantly predicted the pain sensitivity questionnaire result together with the clinical pain intensity (p <.001), while the PCS sub score “helplessness” together with the covari-ate significantly predicted the number of painful regions in the Widespread-Pain-Index (p <.05) and the pressure-pain threshold of the participants (p <.05). The sleep problems index was positively related to the self-report of symptoms linked to spinal sensitization (painDetect questionnaire, p =. 08), irrespective of group. We found an antagonistic moderation effect of clinical pain intensity and trait anxiety in the prediction of CPM efficacy (p <.01). Additionally, Neuroticism showed a synergistic interaction with clinical pain intensity in the prediction of PCS (p <.001).

Conclusions

We conclude from these observations that especially CPP and MDD patients share a clinical psycho-logical risk architecture comprising higher catastrophizing, helplessness, and sleep disturbances, and that the related cortical plasticity facilitates spinal nociceptive processing as proposed earlier [6]. The well-established fear-avoidance-model [15] already stresses that PCS and threat value of medical information are starting points for pain chronification. Our results are in line with recent treatment approaches like the ”Pain Reprocessing Therapy” [16] or “Cognitive Functional Therapy” [17] that share the element of reducing emotional dysregulation and changing fearful beliefs by pain neurosci-ence education and techniques from further therapeutic influences like cognitive behavioral therapy and mindfulness based interventions. A longitudinal design in future studies will help to model time-lagged mediation-models to gain potential causal insights.

References

[1] Gureje O, Korff M von, Kola L, Demyttenaere K, He Y, Posada-Villa J, Lepine JP, Angermeyer MC, Levinson D, Girolamo G de, Iwata N, Karam A, Guimaraes Borges GL, Graaf R de, Browne MO, Stein DJ, Haro JM, Bromet EJ, Kessler RC, Alonso J. The relation between multiple pains and mental disor-ders: results from the World Mental Health Surveys. PAIN 2008;135(1-2):82–91.

[2] Arnow BA, Hunkeler EM, Blasey CM, Lee J, Constantino MJ, Fireman B, Kraemer HC, Dea R, Robin-son R, Hayward C. Comorbid depression, chronic pain, and disability in primary care. Psychosom Med 2006;68(2):262–8.

[3] Bilek E, Zang Z, Wolf I, Henrich F, Moessnang C, Braun U, Treede R-D, Magerl W, Meyer-Lindenberg A, Tost H. Neural network-based alterations during repetitive heat pain stimulation in major depression. European neuro-psychopharmacology the journal of the European College of Neuropsychopharmacology 2019;29(9):1033–40.

[4] Tanguay-Sabourin, C., Fillingim, M., Guglietti, G. V., Zare, A., Parisien, M., Norman, J., Sweatman, H., Da-Ano, R., Heikkala, E., PREVENT-AD Research Group, Perez, J., Karppinen, J., Villeneuve, S., Thompson, S. J., Martel, M. O., Roy, M., Diatchenko, L., & Vachon-Presseau, E. (2023). A prognostic risk score for development and spread of chronic pain. Nature medicine, 29(7), 1821–1831. https://doi.org/10.1038/s41591-023-02430-4

[5] Bannister K, Dickenson AH. The plasticity of descending controls in pain: translational probing. The Journal of Physiology 2017;595(13):4159–66.

[6] Bannister, K*; Hughes, Sam. One size does not fit all: towards optimising the therapeutic potential of endogenous pain modulatory systems. PAIN 164(1):p e5-e9, January 2023. | DOI: 10.1097/j.pain.0000000000002697

[7] Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press

[8] Borkenau, P., & Ostendorf, F. (2008). NEO-FFI: NEO-Fünf-Faktoren-Inventar nach Costa und McCrae, Manual.

[9] Sullivan, M. J., Bishop, S. R., & Pivik, J. (1995). The pain catastrophizing scale: development and validation. Psychological assessment, 7(4), 524.

[10] Hays, R. D., Martin, S. A., Sesti, A. M., & Spritzer, K. L. (2005). Psychometric properties of the medical outcomes study sleep measure. Sleep medicine, 6(1), 41-44.

[11] Wolfe F, Clauw DJ, Fitzcharles M-A, Goldenberg DL, Häuser W, Katz RL, Mease PJ, Russell AS, Russell IJ, Walitt B. 2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria, 2016.

[12] Freynhagen, R., Baron, R., Gockel, U., & Tölle, T. R. (2006). Pain DETECT: a new screening ques-tionnaire to identify neuropathic components in patients with back pain. Current medical research and opinion, 22(10), 1911-1920.

[13] Ruscheweyh, R., Marziniak, M., Stumpenhorst, F., Reinholz, J., & Knecht, S. (2009). Pain sensi-tivity can be assessed by self-rating: development and validation of the Pain Sensitivity Question-naire. Pain, 146(1-2), 65-74.

[14] Bennett, M. I., Attal, N., Backonja, M. M., Baron, R., Bouhassira, D., Freynhagen, R., … & Jensen, T. S. (2007). Using screening tools to identify neuropathic pain. Pain, 127(3), 199-203.

[15] Vlaeyen, J. W., Crombez, G., & Linton, S. J. (2016). The fear-avoidance model of pain. Pain, 157(8), 1588-1589.

[16] Ashar, Y. K., Gordon, A., Schubiner, H., Uipi, C., Knight, K., Anderson, Z., … & Wager, T. D. (2022). Effect of pain reprocessing therapy vs placebo and usual care for patients with chronic back pain: a randomized clinical trial. JAMA psychiatry, 79(1), 13-23.

[17] O’Sullivan, P. B., Caneiro, J. P., O’Keeffe, M., Smith, A., Dankaerts, W., Fersum, K., & O’Sullivan, K. (2018). Cognitive functional therapy: an integrated behavioral approach for the targeted man-agement of disabling low back pain. Physical therapy, 98(5), 408-423.

Presenting Author

Hannah Schmidt

Poster Authors

Hannah Schmidt

M. Sc.

Central Institute of Mental Health, Mannheim, Heidelberg University

Lead Author

Malika Renz

M.Sc.

Central Institute of Mental Health, Mannheim

Lead Author

Armin Drusko

M.Sc.

Department of Internal Medicine and Psychosomatics, University Clinic Heidelberg

Lead Author

Carmel Kerem

Neurophysiology Department, Mannheim Medical Faculty, Heidelberg University

Lead Author

Heike Tost

Prof. Dr. Dr.

Central Institute of Mental Health, Mannheim

Lead Author

Jonas Tesarz

University Hospital Heidelberg

Lead Author

Andreas Meyer-Lindenberg

Professor Dr.

Central Institute of Mental Health, Mannheim

Lead Author

Rolf-Detlef Treede

Prof. Dr.

Central Institute of Mental Health, Mannheim

Lead Author

Topics

  • Mechanisms: Biological-Systems (Physiology/Anatomy)