1. Charalambous, T, Clayden, JD, Powell, E, et al. Disrupted principal network organisation in multiple sclerosis relates to disability. Sci Rep. 2020;10:3620.
Google Scholar | Crossref | Medline2. Chard, DT, Alahmdi, AAS, Alahmadi, AAS, et al. Mind the gap: from neurons to networks to outcomes in multiple sclerosis. Nat Rev Neurol. 2021;17:173-184.
Google Scholar | Crossref | Medline3. Davis, SL, Wilson, TE, White, AT, Frohman, EM. Thermoregulation in multiple sclerosis. J Appl Physiol. 2010;109:1531-1537.
Google Scholar | Crossref | Medline | ISI4. Ramagopalan, SV, Sadovnick, AD. Epidemiology of multiple sclerosis. Neurol Clin. 2011;29:207-217.
Google Scholar | Crossref | Medline | ISI5. Sellner, J, Kraus, J, Awad, A, Milo, R, Hemmer, B, Stüve, O. The increasing incidence and prevalence of female multiple sclerosis-A critical analysis of potential environmental factors. Autoimmun Rev. 2011;10:495-502.
Google Scholar | Crossref | Medline | ISI6. Eshaghi, A, Marinescu, RV, Young, AL, et al. Progression of regional grey matter atrophy in multiple sclerosis. Brain. 2018;141:1665-1677.
Google Scholar | Crossref | Medline7. Fleischer, V, Radetz, A, Ciolac, D, et al. Graph theoretical framework of brain networks in multiple sclerosis: a review of concepts. Neuroscience. 2019;403:35-53.
Google Scholar | Crossref | Medline8. Jaeger, S, Paul, F, Scheel, M, et al. Multiple sclerosis-related fatigue: altered resting-state functional connectivity of the ventral striatum and dorsolateral prefrontal cortex. Mult Scler. 2019;25:554-564.
Google Scholar | SAGE Journals | ISI9. Tewarie, P, Schoonheim, MM, Schouten, DI, et al. Functional brain networks: linking thalamic atrophy to clinical disability in multiple sclerosis, a multimodal fMRI and MEG study. Hum Brain Mapp. 2015;36:603-618.
Google Scholar | Crossref | Medline | ISI10. Vucic, S, Burke, D, Kiernan, MC. Fatigue in multiple sclerosis: mechanisms and management. Clin Neurophysiol. 2010;121:809-817.
Google Scholar | Crossref | Medline | ISI11. Amtmann, D, Bamer, AM, Kim, J, Chung, H, Salem, R. People with multiple sclerosis report significantly worse symptoms and health related quality of life than the US general population as measured by PROMIS and NeuroQoL outcome measures. Disabil Health J. 2018;11:99-107.
Google Scholar | Crossref | Medline12. Gil-González, I, Martín-Rodríguez, A, Conrad, R, Pérez-San-Gregorio, MÁ. Quality of life in adults with multiple sclerosis: a systematic review. BMJ Open. 2020;10:e041249.
Google Scholar | Crossref | Medline13. Davis, LA, Alenazy, MS, Almuklass, AM, et al. Force control during submaximal isometric contractions is associated with walking performance in persons with multiple sclerosis. J Neurophysiol. 2020;123:2191-2200.
Google Scholar | Crossref | Medline14. Flensner, G, Landtblom, AM, Söderhamn, O, Ek, AC. Work capacity and health-related quality of life among individuals with multiple sclerosis reduced by fatigue: a cross-sectional study. BMC Public Health. 2013;13:224.
Google Scholar | Crossref | Medline | ISI15. Vister, E, Tijsma, ME, Hoang, PD, Lord, SR. Fatigue, physical activity, quality of life, and fall risk in people with multiple sclerosis. Int J MS Care. 2017;19:91-98.
Google Scholar | Crossref | Medline16. Manjaly, ZM, Harrison, NA, Critchley, HD, et al. Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis. J Neurol Neurosurg Psychiatry. 2019;90:642-651.
Google Scholar | Crossref | Medline17. Marchesi, O, Vizzino, C, Meani, A, et al. Fatigue in multiple sclerosis patients with different clinical phenotypes: a clinical and magnetic resonance imaging study. Eur J Neurol. 2020;27:2549-2560.
Google Scholar | Crossref | Medline18. Rooney, S, McFadyen, DA, Wood, DL, Moffat, DF, Paul, PL. Minimally important difference of the fatigue severity scale and modified fatigue impact scale in people with multiple sclerosis. Mult Scler Relat Disord. 2019;35:158-163.
Google Scholar | Crossref | Medline19. Hadjimichael, O, Vollmer, T, Oleen-Burkey, M. Fatigue characteristics in multiple sclerosis: the North American Research Committee on Multiple Sclerosis (NARCOMS) survey. Health Qual Life Outcome. 2008;6:100.
Google Scholar | Crossref | Medline | ISI20. Rommer, PS, Eichstädt, K, Ellenberger, D, et al. Symptomatology and symptomatic treatment in multiple sclerosis: results from a nationwide MS registry. Mult Scler. 2019;25:1641-1652.
Google Scholar | SAGE Journals | ISI21. Stuke, K, Flachenecker, P, Zettl, UK, et al. Symptomatology of MS: results from the German MS Registry. J Neurol. 2009;256:1932-1935.
Google Scholar | Crossref | Medline | ISI22. Johansson, S, Ytterberg, C, Hillert, J, Holmqvist, LW, von Koch, L. A longitudinal study of variations in and predictors of fatigue in multiple sclerosis. J Neurol Neurosurg Psychiatr. 2008;79:454-457.
Google Scholar | Crossref | Medline | ISI23. Kasser, SL, Goldstein, A, Wood, PK, Sibold, J. Symptom variability, affect and physical activity in ambulatory persons with multiple sclerosis: understanding patterns and time-bound relationships. Disabil Health J. 2017;10:207-213.
Google Scholar | Crossref | Medline24. Kim, E, Lovera, J, Schaben, L, Melara, J, Bourdette, D, Whitham, R. Novel method for measurement of fatigue in multiple sclerosis: real-time digital fatigue score. J Rehabil Res Dev. 2010;47:477-484.
Google Scholar | Crossref | Medline25. Kratz, AL, Murphy, SL, Braley, TJ. Ecological momentary assessment of pain, fatigue, depressive, and cognitive symptoms reveals significant daily variability in multiple sclerosis. Arch Phys Med Rehabil. 2017;98:2142-2150.
Google Scholar | Crossref | Medline26. Langeskov-Christensen, M, Bisson, EJ, Finlayson, ML, Dalgas, U. Potential pathophysiological pathways that can explain the positive effects of exercise on fatigue in multiple sclerosis: a scoping review. J Neurol Sci. 2017;373:307-320.
Google Scholar | Crossref | Medline | ISI27. Sandroff, BM, Motl, RW, Reed, WR, Barbey, AK, Benedict, RHB, DeLuca, J. Integrative CNS plasticity with exercise in MS: the PRIMERS (PRocessing, Integration of Multisensory Exercise-Related Stimuli) conceptual framework. Neurorehabil Neural Repair. 2018;32:847-862.
Google Scholar | SAGE Journals | ISI28. Veauthier, C, Hasselmann, H, Gold, SM, Paul, F. The berlin treatment algorithm: recommendations for tailored innovative therapeutic strategies for multiple sclerosis-related fatigue. EPMA J. 2016;7:25.
Google Scholar | Crossref | Medline29. Hubbard, AL, Golla, H, Lausberg, H. What’s in a name? That which we call multiple sclerosis fatigue. Mult Scler. 2021;27:983-988.
Google Scholar | SAGE Journals | ISI30. Kluger, BM, Krupp, LB, Enoka, RM. Fatigue and fatigability in neurologic illnesses: proposal for a unified taxonomy. Neurology. 2013;80:409-416.
Google Scholar | Crossref | Medline | ISI31. Motl, RW, Sandroff, BM, Kwakkel, G, et al. Exercise in patients with multiple sclerosis. Lancet Neurol. 2017;16:848-856.
Google Scholar | Crossref | Medline | ISI32. Penner, IK, Paul, F. Fatigue as a symptom or comorbidity of neurological diseases. Nat Rev Neurol. 2017;13:662-675.
Google Scholar | Crossref | Medline33. Kuppuswamy, A . The fatigue conundrum. Brain. 2017;140:2240-2245.
Google Scholar | Crossref | Medline34. Reitberg, MB, van Wegen, EEH, Kwakkel, G. Measuring fatigue in patients with multiple sclerosis: reproducibility, responsiveness and concurrent validity of three dutch self-report questionnaires. Disabil Rehabil. 2010;32:1870-1876.
Google Scholar | Crossref | Medline35. Hanken, K, Eling, P, Hildebrandt, H. The representation of inflammatory signals in the brain–a model for subjective fatigue in multiple sclerosis. Front Neurol. 2014;5:264.
Google Scholar | Crossref | Medline36. Iriarte, J, Subirá, ML, de Castro, P. Modalities of fatigue in multiple sclerosis: correlation with clinical and biological factors. Mult Scler. 2000;6:124-130.
Google Scholar | Crossref | Medline | ISI37. Quadt, L, Critchley, HD, Garfinkel, SN. The neurobiology of interoception in health and disease. Ann N Y Acad Sci. 2018;1428:112-128.
Google Scholar | Crossref | Medline38. Krupp, LB, LaRocca, NG, Muir-Nash, J, Steinberg, AD. The fatigue severity scale. Arch Neurol. 1989;46:1121-1123.
Google Scholar | Crossref | Medline39. Chen, MH, DeLuca, J, Genova, HM, Yao, B, Wylie, GR. Cognitive fatigue is associated with altered functional connectivity in interoceptive and reward pathways in multiple sclerosis. Diagnostics. 2020;10:930.
Google Scholar | Crossref40. Drebinger, D, Rasche, L, Kroneberg, D, et al. Association between fatigue and motor exertion in patients with multiple sclerosis-a prospective study. Front Neurol. 2020;11:208.
Google Scholar | Crossref | Medline41. Edwards, T, Motl, RW, Pilutti, LA. Cardiorespiratory demand of acute voluntary cycling with functional electrical stimulation in individuals with multiple sclerosis with severe mobility impairment. Appl Physiol Nutr Metabol. 2018;43:71-76.
Google Scholar | Crossref | Medline42. Heine, M, van den Akker, LE, Blikman, L, et al. Real-time assessment of fatigue in patients with multiple sclerosis: how does it relate to commonly used self-report fatigue questionnaires? Arch Phys Med Rehabil. 2016;97:1887-1894.
Google Scholar | Crossref | Medline43. Micklewright, D, St Clair Gibson, AA, Gladwell, V, Al Salman, A. Development and validity of the Rating-of-Fatigue scale. Sports Med. 2017;47:2375-2393.
Google Scholar | Crossref | Medline44. Aldughmi, M, Bruce, J, Siengsukon, CF. Relationship between fatigability and perceived fatigue measured using the Neurological Fatigue Index in people with multiple sclerosis. Int J MS Care. 2017;19:232-239.
Google Scholar | Crossref | Medline45. Enoka, RM, Duchateau, J. Translating fatigue to human performance. Med Sci Sports Exerc. 2016;48:2228-2238.
Google Scholar | Crossref | Medline46. Sander, C, Modes, F, Schlake, HP, Eling, P, Hildebrandt, H. Capturing fatigue parameters: the impact of vagal processing in multiple sclerosis related cognitive fatigue. Mult Scler Relat Disord. 2019;32:13-18.
Google Scholar | Crossref | Medline47. Gonzalez Campo, C, Salamone, PC, Rodríguez-Arriagada, N, et al. Fatigue in multiple sclerosis is associated with multimodal interoceptive abnormalities. Mult Scler. 2020;26:1845-1853.
Google Scholar | SAGE Journals | ISI48. Strigo, IA, Craig, AD. Interoception, homeostatic emotions and sympathovagal balance. Phil Trans Biol Sci. 2016;371:20160010.