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 Infectious Disease and Neurocognition
Table 22.3 Continued
Ref. Ye a r N Diagnostic
criteria
45 2013 Review Prefers
ACR 2010 to ACR 1990
46 2018 Review NA UK
Notes: a e diagnostic criteria here are listed according to their commonly referred to names. eir descriptions appear in Appendix 1 and their full citations appear in the references section.
Abbreviations: ACR, American College of Rheumatology; CBT, cognitive behavioral therapy; CFS, chronic fatigue syndrome; DEU, Germany EEG, electroencephalogram; ERP, event- related potential(s); FM, bromyalgia; FMS, bromyalgia syndrome; GnRH, gonadotropin- releasing hormone; N, number of subject; NA, not applicable; NIH, National Institutes of Health; NIRS, near- infrared spectroscopy; NLD, the Netherlands; Ref., reference; SF36, Short Form 36 Health Survey; TSH, thyroid- stimulating hormone; UK, United Kingdom; USA, United States of America.
Reference citation key: 1. Glass and Park, 2001; 2. Glass, 2006; 3. Glass, 2009; 4. Minelli and Vaona, 2012; 5. Gelonch et al., 2013; 6. Bell et al., 2018;7. Wu et al., 2018; 8. Innes and Sambamoorthi, 2020; 9. Ibraheem et al., 2021; 10. Wolfe et al., 2021; 11. Joustra et al., 2022; 12. Leavitt and Katz, 2014; 13. Gil- Ugidos et al., 2021; 14. Gelonch et al., 2018; 15. Gelonch et al., 2017; 16. Leavitt and Katz, 2008; 17. Munoz Ladron de Guevara et al., 2018; 18. Kratz et al., 2020; 19. Cherry et al., 2014; 20. Pidal- Miranda et al., 2018; 21. Tesio et al., 2015; 22. Sletvold et al., 1995; 23. Williamson and Larner, 2016; 24. Katz et al., 2004; 25. Medina et al., 2019; 26. Nishioka et al., 2016; 27. Galvez- Sánchez et al., 2018;
28. Samartin- Veiga et al., 2019; 29. Gonzalez- Villar et al., 2017; 30. Curatolo et al., 2017; 31. Santos et al., 2018; 32. Silva et al., 2017; 33. Chou et al., 2018; 34. Alanoglu et al., 2005; 35. Walitt et al., 2016; 36. Blanco et al., 2019; 37. Qu et al., 2021; 38. Lin et al., 2021; 39. Barcelo- Martinez et al., 2018; 40. Ge et al., 2019; 41. Shmygalev et al., 2014; 42. D’Souza et al., 2021; 43. Wood et al., 2009; 44. Minelli and Vaona, 2012; 45. Gelonch et al., 2013; 46. Bell et al., 2018.
Location Results
a
Spain Reviews the literature from 1995
to 2012. Few studies of cognitive function in patients with FM were found, and those found mostly use small samples. e studies demonstrate decits mainly in working memory and complex attentional function. Long- term memory and executive functions are also impaired. e degree of pain seems directly related to cognitive dysfunction
Meta- analysis that included 37
USA
studies. FM was signicantly and negatively associated with performance on all domains of cognitive function: inhibitory control (g = 0.61), memory (g = 0.51 for short- term, 0.50 for long- term memory), and set shiing (g = 0.30)
e terms used to describe the impairments are descriptive and to some extent overlap but most likely are not duplicative. e terms we have gleaned include at­tentional domain (Lin et al., 2021), cognitive symptoms (Qu et al., 2021), executive function (Alanoğlu et al., 2005; González- Villar et al., 2017), executive domain (Lin et al., 2021), executive function– attention (Santos et al., 2018), executive function– long- term memory (Santos et al., 2018), executive function– working memory (Santos et al., 2018), executive function– shiing and updating (Santos et al., 2018), naming colors decit (Miró et al., 2011), nonspecic information processing def­icit (Karper, 2007), reading words decit (Miró et al., 2011), short- term memory
Fibromyalgia and Chronic Fatigue 379
attention (Kratz et al., 2020), short- term memory processing (Kratz et al., 2020), speed test decits (Miró et al., 2011) task performance (Qu et al., 2021), and visuo­spatial working memory (Williamson & Larner, 2016).
At least ten articles reviewing cognitive impairments associated with FM were published between 2001 and 2021 by researchers residing in seven dierent coun­tries and utilizing diering search strategies. All these articles support an association between some kind of cognitive impairment and FM. erefore, the association of cognitive impairment with FM seems to be withstanding both the test of time and the examination of researchers in dierent countries utilizing dierent search strat­egies, although the specics of the cognitive impairment or impairments associated with FM vary.
We both acknowledge and caution that the dierences in cognitive impairments reported in the literature by researchers in dierent countries may be attributable to dierent laboratories and dierent researchers using dierent descriptions of the same cognitive domains or that the dierences in cognitive domains aected may be attributable to the specic tests administered. Despite these dierences, Ibraheem et al. (2021) performed a meta- analysis of 29 studies and discussed cognitive impair­ment as a function of disease pathophysiology (not noting the potential role infec­tion or considering coexisting diagnoses in the patient population).
Further but indirect support for an association of cognitive impairment with FM comes from the comparison of FM’s cognitive impairment to that of other chronic, pain- associated diseases such as rheumatic diseases (Walitt et al., 2016) and rheu­matoid arthritis specically (Joustra et al., 2022).
Several investigators have hypothesized that the cognitive dysfunction seen in FM is due to brain sensitization (Leavitt & Katz, 2008; Medina et al., 2019). But studies attempting to elucidate the pathology underlying cognitive dysfunction reveal mul­tiple preliminary ndings with no profoundly compelling single mechanism.
Our search strategy revealed only one study that raises the possibility that the cog­nitive dysfunction associated with FM arises from an anatomical abnormality. Van Koulil et al. (2010) found a correlation in the reduction in gray matter density in the parahippocampal gyri and cingulate cortex with the cognitive dysfunction accom­panying FM. All other identied studies suggest altered physiological or patholog­ical mechanisms, or both.
Eorts have been made to correlate altered brain electrical activity with FM’s cog­nitive dysfunction. Both reduced frontal brain electrical activity (Muñoz Ladrón de Guevara et al., 2018) and increased “neural noise” (Nishioka et al., 2016) have been reported. Auditory event potentials show prolonged latencies and reduced ampli­tudes (Wood et al., 2009). ese reports, which detect altered electrical activity via electrophysiological methods, are supported by near infrared spectroscopy studies, which show reduced brain activity in the frontal regions of FM patients (D’Souza et al., 2021). Further support for the belief that the cognitive dysfunction of FM arises from decreased brain electrical activity comes from the studies of Samartin­Veiga et al. (2019), Chou et al. (2018), and Ge et al. (2019), who nd that electrical
 Infectious Disease and Neurocognition
stimulation of the brain reduces cognitive impairment. Possibly related is the nding that loss of olfaction correlates with cognitive impairment (Bell et al., 2018).
e severity of FM- associated cognitive dysfunction appears to be alterable to some extent. Neuroendocrine hormones (Wu et al., 2018) and cortisol levels (Barceló­Martinez et al., 2018; Lin et al., 2021; Qu et al., 2021) have been found to inuence FM­associated cognitive dysfunction. FM patients who smoke have been found to have more severe cognitive dysfunction (Gelonch et al., 2018). However, statin therapy and its associated muscle pain have been shown not to increase cognitive dysfunction in FM (Pidal- Miranda et al., 2018). e possibility of non- pharmacological therapy to improve cognitive dysfunction in FM patients has been proposed but has not been conclusively demonstrated. Both cognitive behavioral therapy and exercise therapy have been proposed (Barceló- Martinez et al., 2018; Blanco et al., 2019; Curatolo et al.,
2017) but await conrming and more robust clinical trials.
Table 22.4 lists the frequency of the domains in which decits have been found in the studies we have presented here and the descriptors used to describe those do­main decits.
Not surprisingly, the most frequently found descriptor of cognitive dysfunction in FM patients is “poor cognition.” Other common descriptors are losses of “exec­utive function,” “processing speed,” and “attentional control.” ere are other, less frequently used descriptors that most likely arise from a lack of uniformity in the instruments used for cognitive testing. We note the report of “olfactory impair­ment” in one citation that is of signicance in lieu of the nding of olfactory impair­ment in patients experiencing Covid- 19 and long Covid (Boscolo- Rizzo et al., 2022; Whitcro & Hummel, 2020). Linkage of cognitive impairment to viral infection is interesting because the loss of senses, including hearing, smell, and sight, has been linked elsewhere to the risk of cognitive decline (Devanand, 2016; Nagarajan et al., 2022; Uchida et al., 2019).
Myalgic encephalomyelitis/ chronic fatigue syndrome and cognitive dysfunction
Our search of PubMed using the search terms (chronic fatigue syndrome) or (my­algic encephalomyelitis) or (ME/ CFS) and (cognitive dysfunction) yielded 257 cit­ations. Inspection of the titles narrowed the number of citations to 54 and reading the abstracts and/ or actual publications further narrowed the number of relevant citations presented to 20 articles (Table 22.5). Our intent is to demonstrate the linkage of ME/ CFS to cognitive dysfunction and, to the extent possible, indicate how it has been characterized and what possibly inuences it. At the outset, we state that some of the retrieved citations we have excluded are early works claiming that there are or were no cognitive dierences between ME/ CFS patients and healthy con­trols. We are unable to oer an explanation as to why these early ndings were neg­ative but believe that the preponderance of more recent evidence supports cognitive
Fibromyalgia and Chronic Fatigue 381
Table 22.4 Frequency of domain deficits occurring in cited fibromyalgia studies
Descriptor of cognitive domain Number of published papers
Poor cognition 9
Executive function 6
Processing speed 6
Attentional control 5
Short- term memory 4
Long- term memory 3
Verbal 3
Working memory 2
Impaired control of attention 1
Dysfunction parallels severity 1
Episodic memory 1
Semantic memory 1
Olfactory impairment 1
Manipulation 1
Orientation 1
Spatial reference memory 1
Recall 1
Information processing 1
Reading speed 1
Color naming 1
dysfunction in ME/ CFS patients. Possibly the more recent ndings of cognitive dys­function in ME/ CFS patients aligns with the improved tools to assess the various domains and parameters of cognition.
Reports concerning cognitive impairment associated with ME/ CFS began in 1995 and continue to the present time. e papers presented below were published be­tween 1997 and 2022 and include a meta- analysis of 748 papers by a multi- national team of authors spanning Europe published in 2022. at paper concludes that cog­nitive dysfunction is present in patients with ME/ CFS. We also nd support for this conclusion in the number of countries in which researchers have found similar as­sociations: Australia, Belgium, France, Italy, Japan, Netherlands, Norway, Romania, Serbia, Spain, the United Kingdom, and the United States of America (Figure 22.5).
 Infectious Disease and Neurocognition
Table 22.5 Summary of studies finding cognitive impairments associated with myalgic
encephalomyelitis/ chronic fatigue syndrome
Ref. Ye a r N Country Diagnostic
criteria
a
Reviews
1 2022 40 studies
analyzed
France Italy
CDC 1994 or
earlier criteria Romania Serbia UK
2 2001 Review Belgium Clinical case
denition not an
inclusion criterion
Results
Aected are visuospatial immediate memory, verbal memory (storage, retrieval, recognition) and visual memory (recovery) and a low eciency in attentional abilities. Executive functions are little or not aected. Instrumental functions preserved
Review of neurocognitive studies shows that slowed processing speed, impaired working memory, and poor learning of information are the most prominent features of cognitive dysfunction in CFS patients. ere is no specic pattern of cerebral abnormalities unique to ME/ CFS. ere is no overwhelming evidence that the fatigue of ME/ CFS is related to cognitive performance, nor is the decreased performance attributable to depression and anxiety
3 1997 Review USA Advocates using
subgroups
e most consistently documented neuropsychological impairments are in the areas of complex information processing speed and eciency. General intellectual abilities and higher order cognitive skills are intact
Clinical cognitive assessments in adults
4 2019 236 Norway CDC 1994 Patients had problems
mainly in the domains of psychomotor speed and attention measured by objective neuropsychological tests
Table 22.5 Continued
Fibromyalgia and Chronic Fatigue 383
Ref. Ye a r N Country Diagnostic
criteria
a
Results
5 2014 68 Spain ACR 1990 50 percent of CFS patients
exhibited impairment in attention and motor functioning, and nearly 40 percent showed impairment in speed information processing and executive functioning. Fatigue predicted attention and executive functioning impairment, and emotional factors predicted verbal memory dysfunction
6 2011 25 Belgium CDC 1988
CDC 1994
CFS patients had slower phasic alertness and impaired working, visual, and verbal episodic memory compared to controls
7 1999 29 Belgium Oxford 1991
CDC 1988
CDC 199
CFS patients have normal phasic arousal level and visual selective attention requiring shifting of attention in the visuospatial field. They have reduced information processing speed and efficiency and attentional dysfunction. Patients have poor performance on recall of verbal information that is due to poor initial storage rather than to a retrieval failure
8 2022 2461 Netherlands CDC 1994 Cognitive task performance
was poorer in individuals with CFS versus controls without disease and controls with a medical disorder
(continued)
 Infectious Disease and Neurocognition
Table 22.5 Continued
Ref. Ye a r N Country Diagnostic
criteria
a
Results
9 2006 43 USA CDC 1994 CFS patients with
signicant complaints of mental fatigue exhibited signicant impairment in spatial working memory and sustained attention (rapid visual information processing) when compared to CFS patients with low complaints of mental fatigue and non- fatigued subjects. Performance was impaired only in the nal stages of the test, indicating greater cognitive fatigability in these patients
Factors aecting cognitive impairment in ME/ CFS patients
10 1998 12 USA CDC 1994 e sensory reactivity and
acquisition of conditioned reex responses were measured. Patients with CFS exhibited normal sensitivity and responsivity to acoustic stimuli but displayed impaired acquisition to a delayed paradigm of the eye blink response suggesting organic brain dysfunction
11 2020 128 Netherlands
USA
CDC 1994 Working memory was
impaired aer head- up tilt testing
12 2018 43 Australia CDC 1994 CFS patients showed
significantly longer reaction times but no significant difference in accuracy to the Stroop Color– Word task. Blood oxygenation level dependent changes in response to the Stroop task in ten regions of the brain were significantly lower in CFS patients
Table 22.5 Continued
Fibromyalgia and Chronic Fatigue 385
Ref. Ye a r N Country Diagnostic
criteria
a
13 2006 Not reported USA No clinical case
denition cited
Results
Long- term and working memory impairments. CFS patients have slow information- processing, and FM patients have impaired control of attention. Neuroimaging studies demonstrate cerebral abnormalities with increased neural recruitment during cognitive tasks
14 2006 41 USA CDC 1994 Relative to CFS patients
in the normal- NKCA subgroup, low- NKCA patients reported less vigor, more daytime dysfunction, and more cognitive impairment. Low- NKCA patients performed less on objective measures of cognitive functioning relative to normal- NKCA patients
15 2012 30 Australia CDC 1994 CFS patients showed no
decits in performance accuracy but were signicantly slower. CFS patients showed low and unresponsive heart rate variability, greater HR reactivity, and prolonged HR recovery aer cognitive challenge suggesting that reduced vagal tone inuences cognitive function
16 2019 51 UK CDC 1994 Comorbidity with major
depression is not itself responsible for the reductions in cognitive performance seen in ME/ CFS patients
(continued)
 Infectious Disease and Neurocognition
Table 22.5 Continued
Ref. Ye a r N Country Diagnostic
criteria
a
17 2020 25 Australia Pediatric case
denition 2006
Results
Resting- state functional magnetic resonance imaging used to evaluate intrinsic connectivity, cognitive function, and subjective fatigue, before and aer a period of cognitive exertion in adolescent ME/ CFS patients. No dierence found between patients and controls for intrinsic functional connectivity, sustained attentional performance, processing speed, and increased subjective fatigue as a result of cognitive exertion
18 2011 52 Spain CDC 1994 e cognitive impairment
in CFS is independent of disease duration. ere is no increase in severity of decits with disease duration
Clinical cognitive assessments in children and adolescents
19 2011 50 Japan Pediatric case
denition 2006
Children with CFS had reduced motor skills. Selective and alternative attention, and spatial working memory decit discriminates CFS patients from control subjects with
70.5% accuracy (p = 0.007)
20 2015 120 Norway New onset,
3 months. Chronic
relapsing fatigue
Adolescents have impaired processing speed, working memory, cognitive inhibition response, and verbal learning. ese decits are unaected by adjustments for symptoms of depression, anxiety traits, and sleep problems
Notes: a e diagnostic criteria here are listed according to their commonly referred to names. eir descriptions appear in Appendix 1 and their full citations appear in the references section.
Abbreviations: CDC, Centers for Disease Control and Prevention (USA); CFS, chronic fatigue syndrome; FM, ­bromyalgia; HR, heart rate; ME/ CFS, myalgic encephalomyelitis/ chronic fatigue syndrome; N, number of subjects; NKCA, natural killer cell activity; Ref., references.
Reference citation key: 1. Aoun Sebaiti et al., 2022; 2. Michiels and Cluydts, 2001; 3. Tiersky et al., 1997; 4. Rasouli et al., 2019; 5. Santamarina- Perez et al., 2014; 6. Constant et al., 2011; 7. Michiels et al., 1999; 8. Joustra et al., 2022;
9. Capuron et al., 2006; 10. Servatius et al., 1998; 11. van Campen et al., 2020; 12. Shan et al., 2018; 13. Glass, 2006; 14. Siegel et al., 2006; 15. Beaumont et al., 2012; 16. Robinson et al., 2019; 17. Josev et al., 2020; 18. Santamarina- Perez et al., 2011; 19. Kawatani et al., 2011; 20. Sulheim et al., 2015.
Fibromyalgia and Chronic Fatigue 387
Figure 22.5 Countries in which studies suggesting linkage of myalgic encephalomyelitis/ chronic fatigue syndrome to cognitive impairment have studied and are cited in the manuscript are shown in dark grey.
us far, individual cognitive dysfunction studies have tended to employ small sample sizes and varying cognitive assessment instruments. We, therefore, nd it dicult to summarize with condence the precise domains of cognitive function impaired by ME/ CFS. Nor do we have increased condence in some studies over others. Consistently reported cognitive decits found in multiple studies seem to be impaired processing speed (Beaumont et al., 2012; Glass, 2006; Michiels & Cluydts, 2001; Michiels et al., 1999; Rasouli et al., 2019; Santamarina- Perez et al., 2014; Sulheim et al., 2015; Tiersky et al., 1997), impaired verbal memory (recall) (Aoun Sebaiti et al., 2022; Constant et al., 2011; Michiels et al., 1999; Santamarina- Perez et al., 2011; Sulheim et al., 2015), and attention decits (Aoun Sebaiti et al., 2022; Kawatani et al., 2011; Santamarina- Perez et al., 2014). One study suggests impaired motor function as cause of cognitive impairment (Santamarina- Perez et al., 2014), which lends itself to the notion that cognitive function can be aected by multiple physiologic functions including movement, which can make it challenging to deni­tively dene a causation of the cognitive symptoms reported in ME/ CFS.
ere have been few explorations of the pathophysiological causes of these dys­functions, but possibilities we have gleaned from the literature include low natural killer cell activity that exacerbates cognitive dysfunction (Siegel et al., 2006), poor utilization of oxygen in regions of the brain causing cognitive dysfunction (Shan et al., 2018), and decreased tissue perfusion caused by a reduction of vagal tone and/ or altered heart rate variability (Beaumont et al., 2012). One preliminary study raises the possibility of slowed synaptic transmission (Servatius et al., 1998).
We have identied two studies of cognitive dysfunction in children and adoles­cents with ME/ CFS (Kawatani et al., 2011; Sulheim et al., 2015) but none that di­rectly compare the cognitive dysfunction found in children and adolescents with that found in adults. Nevertheless, until such comparative studies are performed,