Coupling cognitive and brainstem dysfunction in multiple sclerosis-related chronic neuropathic limb pain
Open accessAbstract
Chronic pain in multiple sclerosis is common and difficult to treat. Its mechanisms remain incompletely understood. Dysfunction of the descending pain modulatory system is known to contribute to human chronic pain conditions. However, it is not clear how alterations in executive function influence this network, despite healthy volunteer studies linking function of the descending pain modulatory system, to cognition. In adults with multiple sclerosis-associated chronic neuropathic limb pain, compared to those without pain, we hypothesized altered functional connectivity of the descending pain modulatory system, coupled to executive dysfunction. Specifically we hypothesized reduced mental flexibility, because of potential importance in stimulus reappraisal. To investigate these hypotheses, we conducted a case-control cross-sectional study of 47 adults with relapsing remitting multiple sclerosis (31 with chronic neuropathic limb pain, 16 without pain), employing clinical, neuropsychological, structural, and functional MRI measures. We measured brain lesions and atrophy affecting descending pain modulatory system structures. Both cognitive and affective dysfunctions were confirmed in the chronic neuropathic limb pain group, including reduced mental flexibility (Delis Kaplan Executive Function System card sorting tests P < 0.001). Functional connectivity of rostral anterior cingulate and ventrolateral periaqueductal gray, key structures of the descending pain modulatory system, was significantly lower in the group experiencing chronic neuropathic pain. There was no significant between-group difference in whole-brain grey matter or lesion volumes, nor lesion volume affecting white matter tracts between rostral anterior cingulate and periaqueductal gray. Brainstem-specific lesion volume was higher in the chronic neuropathic limb pain group (P = 0.0017). Differential functional connectivity remained after correction for brainstem-specific lesion volume. Gabapentinoid medications were more frequently used in the chronic pain group. We describe executive dysfunction in people with multiple sclerosis affected by chronic neuropathic pain, along with functional and structural MRI evidence compatible with dysfunction of the descending pain modulatory system. These findings extend understanding of close inter-relationships between cognition, function of the descending pain modulatory system, and chronic pain, both in multiple sclerosis and more generally in human chronic pain conditions. These findings could support application of pharmacological and cognitive interventions in chronic neuropathic pain associated with multiple sclerosis.
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The discrepancy between the previous review's 26.8% and the current review's 22.3% may be due to the previous review's inclusion of studies that exclusively investigated people with multiple sclerosis and pain, likely overinflating estimates.
“This discrepancy may be due to their inclusion of studies that exclusively investigated pwMS with pain, likely overinflating estimates (Ata et al. 2021; Foley et al. 2022; Khan and Pallant 2007; Kim et al. 2019, 2020; Solaro et al. 2004; Srotova et al. 2021; Young et al. 2017).”
From The Prevalence of Neuropathic Pain in Multiple Sclerosis—A Systematic Review and Meta‐Analysis Using the <scp>NeuPSIG</scp> Algorithm (2026) · cites this paper as Foley et al. 2022
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Cites
Neuropathic pain: an updated grading system for research and clinical practice
Finnerup, N. B., Haroutounian, S., Kamerman, P., Baron, R., Bennett, D. L. H., Bouhassira, D., Cruccu, G., Freeman, R., Hansson, P., Nurmikko, T., et al. (2016) · Pain · doi:10.1097/j.pain.0000000000000492 · Cited by 1,332 · cited 2× · see citing works
“) furthermore excluded alternative aetiologies of pain by history and examination and confirmed presence of neuropathic pain by research criteria.(26) Control group participants confirmed absence of pain, including previous experience of chronic pain, at interviewwith a single investigator (P.”
BackgroundResultWallin, M. T., Culpepper, W. J., Nichols, E., Bhutta, Z. A., Gebrehiwot, T. T., Hay, S. I., Khalil, I. A., Krohn, K. J., Liang, X., Naghavi, M., et al. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30443-5 · Cited by 1,108 · see citing works
Neurocognitive aspects of pain perception
Wiech, K., Ploner, M., & Tracey, I. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.05.005 · Cited by 737 · see citing works
Self-citationValidation of the Hospital anxiety and depression scale for use with multiple sclerosis patients
Honarmand, K., & Feinstein, A. (2009) · Multiple Sclerosis Journal · doi:10.1177/1352458509347150 · Cited by 436 · see citing works
Flagged first, then by citations
Research works printed but not linked: 59
- [2]Rommer PS, Eichstädt K, Ellenberger D, et al Symptomatology and symptomatic treatment in multiple sclerosis: results from a nationwide MS registry. Mult Scler. 2019; 25(12): 1641– 1652. 30230952
- [3]Foley PL, Vesterinen HM, Laird BJ, et al Prevalence and natural history of pain in adults with multiple sclerosis: systematic review and meta-analysis. Pain. 2013; 154: 632– 642. 23318126
- [4]Gromisch ES, Kerns RD, Czlapinski R, et al Cognitive behavioral therapy for the management of multiple sclerosis–related pain: a randomized clinical trial. Int J MS Care. 2019; 22(1): 8– 14. PMC7041614 32123523
- [5]Tracey I, Woolf CJ, Andrews NA. Composite pain biomarker signatures for objective assessment and effective treatment. Neuron. 2019; 101(5): 783– 800. 30844399 PMC6800055
- [6]Wiech K. Deconstructing the sensation of pain: the influence of cognitive processes on pain perception. Science. 2016; 354(6312): 584– 587. 27811269
- [7]Tang W, Jbabdi S, Zhu Z, et al A connectional hub in the rostral anterior cingulate cortex links areas of emotion and cognitive control. ELife. 2019; 8: e43761. 31215864 PMC6624020
- [8]MacPherson SE, Della Sala S, Cox S, Iveson M, Girardi A. Handbook of frontal lobe assessment. Oxford University Press; 2015.
- [9]Eippert F, Bingel U, Schoell ED, et al Activation of the opioidergic descending pain control system underlies placebo analgesia. Neuron. 2009; 63(4): 533– 543. 19709634
- [10]Tracey I, Ploghaus A, Gati JS, et al Imaging attentional modulation of pain in the periaqueductal gray in humans. J Neurosc. 2002; 22(7): 2748– 2752. PMC6758341 11923440
- [11]Wang R, King T, De Felice M, Guo W, Ossipov MH, Porreca F. Descending facilitation maintains long-term spontaneous neuropathic pain. J Pain. 2013; 14(8): 845– 853. 23602267 PMC4028636
- [12]Zambreanu L, Wise RG, Brooks JC, Iannetti GD, Tracey I. A role for the brainstem in central sensitisation in humans. Evidence from functional magnetic resonance imaging. Pain. 2005; 114(3): 397– 407. 15777865
- [13]Soni A, Wanigasekera V, Mezue M, et al Central sensitization in knee osteoarthritis: relating presurgical brainstem neuroimaging and pain DETECT-based patient stratification to arthroplasty outcome. Arthritis Rheumatol. 2019; 71(4): 550– 560. 30295432 PMC6430421
- [14]Yu R, Gollub RL, Spaeth R, Napadow V, Wasan A, Kong J. Disrupted functional connectivity of the periaqueductal gray in chronic low back pain. Neuroimage Clin. 2014; 6: 100– 108. 25379421 PMC4215524
- [15]Segerdahl AR, Themistocleous AC, Fido D, Bennett DL, Tracey I. A brain-based pain facilitation mechanism contributes to painful diabetic polyneuropathy. Brain. 2018; 141(2): 357– 364. 29346515 PMC5837628
- [16]Alschuler KN, Ehde DM, Jensen MP. The co-occurrence of pain and depression in adults with multiple sclerosis. Rehabil Psychol. 2013; 58(2): 217– 221. 23713732 PMC4467568
- [17]Svendsen KB, Jensen TS, Hansen HJ, Bach FW. Sensory function and quality of life in patients with multiple sclerosis and pain. Pain. 2005; 114(3): 473– 481. 15777872
- [18]Seixas D, Foley P, Palace J, Lima D, Ramos I, Tracey I. Pain in multiple sclerosis: a systematic review of neuroimaging studies. Neuroimage Clin. 2014; 5: 322– 331. 25161898 PMC4141976
- [19]Bosma RL, Kim JA, Cheng JC, et al Dynamic pain connectome functional connectivity and oscillations reflect multiple sclerosis pain. Pain. 2018; 159(11): 2267– 2276. 29994989
- [20]Kim JA, Bosma RL, Hemington KS, et al Cross-network coupling of neural oscillations in the dynamic pain connectome reflects chronic neuropathic pain in multiple sclerosis. NeuroImage Clin. 2020; 26: 102230. 32143136 PMC7056723
- [21]Kim JA, Bosma RL, Hemington KS, et al Neuropathic pain and pain interference are linked to alpha-band slowing and reduced beta-band magnetoencephalography activity within the dynamic pain connectome in patients with multiple sclerosis. Pain. 2019; 160(1): 187– 197. 30188456
- [22]Scherder R, Kant N, Wolf E, Pijnenburg A, Scherder E. Pain and cognition in multiple sclerosis. Pain Med. 2017; 18(10): 1987– 1998. 28340237
- [23]Wiech K, Tracey I. The influence of negative emotions on pain: behavioral effects and neural mechanisms. Neuroimage. 2009; 47(3): 987– 994. 19481610
- [25]Thompson AJ, Banwell BL, Barkhof F, et al Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018; 17(2): 162– 173. 29275977
- [27]Cleeland CS. Measurement of pain by subjective report. Adv Pain Res Ther. 1989; 12: 391– 403.
- [28]Deppe M, Muller D, Kugel H, Ruck T, Wiendl H, Meuth S. DTI detects water diffusion abnormalities in the thalamus that correlate with an extremity pain eisode in a patient with multiple sclerosis. Neuroimage. 2013: 258– 262. PMC3778262 24179780
- [29]Ventafridda V, Tamburini M, Caraceni AUGU, De Conno F, Naldi F. A validation study of the WHO method for cancer pain relief. Cancer. 1987; 59(4): 850– 856. 3802043
- [30]Mogil JS. Qualitative sex differences in pain processing: emerging evidence of a biased literature. Nat Rev Neurosc. 2020; 21(7): 353– 365. 32440016
- [31]Gupta A, Mayer EA, Fling C, et al Sex-based differences in brain alterations across chronic pain conditions. J Neurosc Res. 2017; 95(1-2): 604– 616. PMC5120652 27870423
- [32]Mackenzie I, Morant S, Bloomfield G, MacDonald T, O'Riordan J. Incidence and prevalence of multiple sclerosis in the UK 1990–2010: a descriptive study in the general practice research database. J Neurol Neurosurg Psychiatry. 2014; 85(1): 76– 84. 24052635 PMC3888639
- [33]Kurtzke JF. Rating neurologic impairment in multiple sclerosis. An expanded disability status scale (EDSS). Neurology. 1983; 33(11): 1444– 1452. 6685237
- [34]Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983; 67(6): 361– 370. 6880820
- [35]Krupp LB, LaRocca NG JM-N, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989; 46(10): 1121– 1123. 2803071
- [36]Buysse D, Reynolds C, Monk T, Berman S, Kupfer D. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989: 193– 213. 2748771
- [37]Sullivan MJL, Bishop SR, Pivik J. The pain catastrophizing scale: development and validation. Psychol Assess. 1995; 7(4): 524– 532.
- [39]Scott AC, McConnell S, Laird B, Colvin L, Fallon M. Quantitative sensory testing to assess the sensory characteristics of cancer-induced bone pain after radiotherapy and potential clinical biomarkers of response. Eur J Pain. 2012; 16(1): 123– 133. 21658980
- [40]Langdon DW, Amato MP, Boringa J, et al Recommendations for a brief international cognitive assessment for multiple sclerosis (BICAMS). Mult Scler. 2012; 18(6): 891– 898. 22190573 PMC3546642
- [41]Abrahams S, Newton J, Niven E, Foley J, Bak TH. Screening for cognition and behaviour changes in ALS. Amyotroph Lateral Scler Frontotemporal Degener. 2014; 15(1-2): 9– 14. 23781974
- [42]Parmenter BA, Zivadinov R, Kerenyi L, et al Validity of the Wisconsin card sorting and Delis (Kaplan executive function system (DKEFS) sorting tests in multiple sclerosis. J Clin Exp Neuropsychol. 2007; 29(2): 215– 223. 17365256
- [43]Robertson I, Ward T, Ridgeway V, Nimmo-Smith I. The structure of normal human attention: the test of everyday attention. J Int Neuropsychol Soc. 1996; 2: 525– 534. 9375156
- [44]Jenkinson M, Beckmann C, Behrens TEJ, Woolrich MW, Smith S. FSL. Neuroimage. 2012; 62: 782– 790. 21979382
- [45]Desikan RS, Segonne F, Fischl B, et al An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006; 31(3): 968– 980. 16530430
- [46]Andersson JL, Jenkinson M, Smith S. Non-linear registration, aka spatial normalisation FMRIB technical report TR07JA2. FMRIB Analysis Group of the University of Oxford; 2007
- [47]Matthews L, Marasco R, Jenkinson M, et al Distinction of seropositive NMO spectrum disorder and MS brain lesion distribution. Neurology. 2013; 80(14): 1330– 1337. 23486868 PMC3656462
- [48]Douaud G, Smith S, Jenkinson M, et al Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. Brain. 2007; 130(9): 2375– 2386. 17698497
- [49]Wiech K, Jbabdi S, Lin CS, Andersson J, Tracey I. Differential structural and resting state connectivity between insular subdivisions and other pain-related brain regions. Pain. 2014; 155(10): 2047– 2055. 25047781 PMC4220010
- [50]Margulies DS, Kelly AC, Uddin LQ, Biswal BB, Castellanos FX, Milham MP. Mapping the functional connectivity of anterior cingulate cortex. Neuroimage. 2007; 37(2): 579– 588. 17604651
- [51]Vogt BA, Berger GR, Derbyshire SW. Structural and functional dichotomy of human midcingulate cortex. Eur J Neurosci. 2003; 18(11): 3134– 3144. 14656310 PMC2548277
- [52]Sotiropoulos SN, Jbabdi S, Xu J, et al Advances in diffusion MRI acquisition and processing in the Human Connectome Project. Neuroimage. 2013; 80: 125– 143. 23702418 PMC3720790
- [53]Hernandez-Fernandez M, Reguly I, Jbabdi S, Giles M, Smith S, Sotiropoulos SN. Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes. Neuroimage. 2019; 188: 598– 615. 30537563 PMC6614035
- [54]Naidich TP, Duvernoy HM, Delman BN, Sorensen AG, Kollias SS, Haacke EM. Duvernoy's atlas of the human brain stem and cerebellum. Springer Science & Business Media; 2009.
- [55]Kalia LV, O'Connor PW. Severity of chronic pain and its relationship to quality of life in multiple sclerosis. Mult Scler. 2005; 11(3): 322– 327. 15957515
- [56]Seixas D, Palace J, Tracey I. Chronic pain disrupts the reward circuitry in multiple sclerosis. Eur J Neurosci. 2016; 44(3): 1928– 1934. 27178661
- [57]Coulombe MA, Erpelding N, Kucyi A, Davis KD. Intrinsic functional connectivity of periaqueductal gray subregions in humans. Hum Brain Mapp. 2016; 37(4): 1514– 1530. 26821847 PMC6867375
- [58]Dick BD, Verrier MJ, Harker KT, Rashiq S. Disruption of cognitive function in fibromyalgia syndrome. Pain. 2008; 139(3): 610– 616. 18691816
- [59]Moriarty O, Ruane N, O'Gorman D, et al Cognitive impairment in patients with chronic neuropathic or radicular pain: an interaction of pain and age. Front Behav Neurosci. 2017; 11: 100. 28659771 PMC5468384
- [60]Eddy CM, Rickards HE, Cavanna AE. The cognitive impact of antiepileptic drugs. Ther Adv Neurol Disord. 2011; 4(6): 385– 407. 22164192 PMC3229254
- [61]Iannetti GD, Zambreanu L, Wise RG, et al Pharmacological modulation of pain-related brain activity during normal and central sensitization states in humans. Proc Natl Acad Sci U S A. 2005; 102(50): 18195– 18200. 16330766 PMC1306794
- [62]Diamond BJ, Johnson SK, Kaufman M, Graves L. Relationships between information processing, depression, fatigue and cognition in multiple sclerosis. Arch Clin Neuropsychol. 2008; 23(2): 189– 199. 18053682
- [63]Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage. 2012; 59(3): 2142– 2154. 22019881 PMC3254728
Cited by
Sorted by citations
Rodrigues, P., da Silva, B., & Trevisan, G. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105401 · Cited by 31 · see citing works
Jungersen, R. C., Baccaro, V. K., Hvid, L. G., Dalgas, U., & Hoegh, M. (2026) · European Journal of Pain · doi:10.1002/ejp.70375 · Cited by 1 · see citing works
- Authors
- Foley, P., Kong, Y., Dirvanskiene, R., valdes-Hernandez, M., Bastiani, M., Murnane, J., Sellar, R., Roberts, N., Pernet, C., Weir, C., Bak, T., Colvin, L., Chandran, S., Fallon, M., & Tracey, I.
- Affiliations
- University of Edinburgh (GB)
- Chinese Academy of Sciences (CN)
- Dementia Research Institute, University of Edinburgh , Edinburgh, UK
- University of Nottingham (GB)
- University of Dundee (GB)
- John Radcliffe Hospital (GB)
- Corresponding author
- Foley, Peter
- ORCID
- Venue
- Brain Communications
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-05-02
- Volume
- 4
- Issue
- 3
- Pages
- fcac124-fcac124
- ISSN
- 2632-1297 (ISSN-L)
- PMC
- PMC9155950
- OpenAlex
- W4280614322
- Cited by
- 11
- References
- 4
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 1
- FWCI
- 1.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Brain Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (submittedVersion, cc-by)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Funders
- a Rowling Scholar fellowship
- University of Edinburgh
- Medical Research Council of Great Britain and Northern Ireland and Wellcome
- University of Oxford
- National Health Service Lothian via the Edinburgh Clinical Trials Unit
- Topics
- Health Sciences › Medicine › Physiology › Pain Mechanisms and Treatments
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
- Keywords
- multiple sclerosis, chronic neuropathic pain, executive dysfunction, cognitive flexibility, functional connectivity, rostral anterior cingulate cortex, ventrolateral periaqueductal gray, brainstem lesions, brainstem atrophy, gabapentinoids
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