MSEsperanza
Senior Member (Voting Rights)
The following list of studies and other papers could be helpful with regard to the claim that symptoms classified as 'fatigue' can't be measured objectively, or that potential objective measures are too unspecific.
In the field of MS research, some people looked for objective measures correlating with diverse types of fatigue and fatiguability. Others compared fatigue in different neurological illnesses. I can't judge the quality of their papers, neither do I know whether any of these measures can be adapted in a sensible way to ME specific symptoms. But perhaps other forum members are interested?
There was a short discussion on this topic a while ago here:
The Dopamine Imbalance Hypothesis of Fatigue in Multiple Sclerosis by @Marco
Note that this is not a systematically composed list.
Research on objective measures for diverse types of MS related fatigability
1. Motor fatigue/ fatigubility in MS: The Fatigue Index Kliniken Schmieder (FKS)
1.1 Objective assessment of motor fatigue in multiple sclerosis: the Fatigue index Kliniken Schmieder
Sehle, A., Vieten, M., Sailer, S. et al. J Neurol (2014) 261: 1752. https://doi.org/10.1007/s00415-014-7415-7,
(used kinematic gait analysis)
1.2 Fatigability Assessment Using the Fatigue Index Kliniken Schmieder (FKS) Is Not Compromised by Depression.
Dettmers, C. , Riegger, M. , Müller, O. and Vieten, M. (2016), Health, 8, 1485-1494. doi: 10.4236/health.2016.814147.
1.3 Difference in Motor Fatigue between Patients with Stroke and Patients with Multiple Sclerosis: A Pilot Study. Sehle A, Vieten M, Mundermann A, Dettmers C. (2014), Frontiers in Neurology 2014, 5: 279, https://doi.org/10.3389/fneur.2014.00279
1.4 Disability and Fatigue Can Be Objectively Measured in Multiple Sclerosis. Motta, C., Palermo, E., Studer, V., Germanotta, M., Germani, G., Centonze, D., Cappa, P., Rossi, S., & Rossi, S. (2016), PloS one, 11(2), e0148997. https://doi.org/10.1371/journal.pone.0148997
Related research:
1.5 Vieten MM, Sehle A, Jensen RL. A novel approach to quantify time series differences of gait data using attractor attributes.(2013) PloS one. 2013, 8 (8): e71824, http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0071824
1.6 Role of body-worn movement monitor technology for balance and gait rehabilitation. Horak, F., King, L., & Mancini, M. (2015), Physical therapy, 95(3), 461–470. https://doi.org/10.2522/ptj.20140253
1.6 cited by recent papers:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348720/citedby/
2. Cognitive fatigue/ fatigability
2.1 Claros-Salinas D, Dittmer N, Neumann M, Sehle A, Spiteri S, Willmes K et al. Induction of cognitive fatigue in MS patients through cognitive and physical load. Neuropsychol Rehabil. 2013, 23 (2): 182-201, https://www.ncbi.nlm.nih.gov/pubmed/23153337
(paywalled)
Abstract
2.2 Neumann M, Sterr A, Claros-Salinas D, Gutler R, Ulrich R, Dettmers C. Modulation of alertness by sustained cognitive demand in MS as surrogate measure of fatigue and fatigability, Journal of the neurological sciences. 2014, 340 (1-2): 178-82, https://www.jns-journal.com/article/S0022-510X(14)00168-3/fulltext
Abstract
3. Neural correlates of fatigue and fatigability
Spiteri S, Hassa T, Claros-Salinas D, Dettmers C, Schoenfeld MA. Neural correlates of task-dependent and independent fatigue components in patients with Multiple Sclerosis. Neurobiol Aging. 2017, http://journals.sagepub.com/doi/10.1177/1352458517743090 (paywalled)
Abstract
4. Potentially relevant papers reviewing the concepts of fatigue and fatigability in MS / neurological illnesses in general
4.1 Kluger BM, Krupp LB, Enoka RM. Fatigue and fatigability in neurologic illnesses: proposal for a unified taxonomy. Neurology. 2013, 80 (4): 409-16, https://n.neurology.org/content/80/4/409 (paywalled)
free PMC article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3589241/
4.2 Rudroff, Thorsten, Kindred, John H, Ketelhut, Nathaniel B.; Fatigue in Multiple Sclerosis: Misconceptions and Future Research Directions, Frontiers in Neurology 2016 Aug 2;7:122. doi: 10.3389/fneur.2016.00122, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969300/
4.3 Manjaly Z, Harrison NA, Critchley HD, et al, Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis, Journal of Neurology, Neurosurgery & Psychiatry 2019;90:642-651, https://jnnp.bmj.com/content/jnnp/early/2019/01/25/jnnp-2018-320050.full.pdf
(Only skimmed these papers. They seem to me to make some useful points even though they might still be criticizable in particular with regard to how they conceive the two domains of 'performance fatiguability' vs 'perception of fatigue'.)
(Updated 2020-05-29)
In the field of MS research, some people looked for objective measures correlating with diverse types of fatigue and fatiguability. Others compared fatigue in different neurological illnesses. I can't judge the quality of their papers, neither do I know whether any of these measures can be adapted in a sensible way to ME specific symptoms. But perhaps other forum members are interested?
There was a short discussion on this topic a while ago here:
The Dopamine Imbalance Hypothesis of Fatigue in Multiple Sclerosis by @Marco
Note that this is not a systematically composed list.
Research on objective measures for diverse types of MS related fatigability
1. Motor fatigue/ fatigubility in MS: The Fatigue Index Kliniken Schmieder (FKS)
1.1 Objective assessment of motor fatigue in multiple sclerosis: the Fatigue index Kliniken Schmieder
Sehle, A., Vieten, M., Sailer, S. et al. J Neurol (2014) 261: 1752. https://doi.org/10.1007/s00415-014-7415-7,
(used kinematic gait analysis)
1.2 Fatigability Assessment Using the Fatigue Index Kliniken Schmieder (FKS) Is Not Compromised by Depression.
Dettmers, C. , Riegger, M. , Müller, O. and Vieten, M. (2016), Health, 8, 1485-1494. doi: 10.4236/health.2016.814147.
1.3 Difference in Motor Fatigue between Patients with Stroke and Patients with Multiple Sclerosis: A Pilot Study. Sehle A, Vieten M, Mundermann A, Dettmers C. (2014), Frontiers in Neurology 2014, 5: 279, https://doi.org/10.3389/fneur.2014.00279
1.4 Disability and Fatigue Can Be Objectively Measured in Multiple Sclerosis. Motta, C., Palermo, E., Studer, V., Germanotta, M., Germani, G., Centonze, D., Cappa, P., Rossi, S., & Rossi, S. (2016), PloS one, 11(2), e0148997. https://doi.org/10.1371/journal.pone.0148997
Related research:
1.5 Vieten MM, Sehle A, Jensen RL. A novel approach to quantify time series differences of gait data using attractor attributes.(2013) PloS one. 2013, 8 (8): e71824, http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0071824
1.6 Role of body-worn movement monitor technology for balance and gait rehabilitation. Horak, F., King, L., & Mancini, M. (2015), Physical therapy, 95(3), 461–470. https://doi.org/10.2522/ptj.20140253
1.6 cited by recent papers:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348720/citedby/
2. Cognitive fatigue/ fatigability
2.1 Claros-Salinas D, Dittmer N, Neumann M, Sehle A, Spiteri S, Willmes K et al. Induction of cognitive fatigue in MS patients through cognitive and physical load. Neuropsychol Rehabil. 2013, 23 (2): 182-201, https://www.ncbi.nlm.nih.gov/pubmed/23153337
(paywalled)
Abstract
The objective of the study was to investigate whether cognitive fatigue in patients with multiple sclerosis (MS) is a spontaneous phenomenon or whether it can be provoked or exacerbated through cognitive effort and motor exercise.
Thirty two patients with definite MS and cognitive fatigue according to the Fatigue Scale for Motor and Cognitive Functions (FSMC ≥ 22) performed attention tests (alertness, selective, and divided attention subtests from the TAP test battery for attention performance) twice during rest (baseline), and before and after treadmill training and cognitive load (a standardised battery of neuropsychological tests lasting 2.5 hours). Subjective exhaustion was assessed with a 10-point rating scale.
Tonic alertness turned out to be the most sensitive test and showed significantly increased reaction times after treadmill training and after cognitive load. Patients' subjective assessment of exhaustion (10-point rating scale) and the objective test results were discrepant. In contrast, healthy control subjects (N = 20) did not show any decline of performance in the subtest alertness after cognitive or physical load. Data favour the concept that fatigue is induced by physical and mental load. Discrepancies between subjective and objective assessment offer therapeutic options. The common notion of a purely "subjective" lack of physical and/or mental energy should be reconsidered.
2.2 Neumann M, Sterr A, Claros-Salinas D, Gutler R, Ulrich R, Dettmers C. Modulation of alertness by sustained cognitive demand in MS as surrogate measure of fatigue and fatigability, Journal of the neurological sciences. 2014, 340 (1-2): 178-82, https://www.jns-journal.com/article/S0022-510X(14)00168-3/fulltext
Abstract
OBJECTIVE:
This study used reaction time (RT) as an objective marker of cognitive fatigue and fatigability in patients with multiple sclerosis (MS).
METHOD:
RT was measured in fifteen healthy controls and in thirty MS patients with cognitive fatigue identified with the Fatigue Scale for Motor and Cognitive Function (FSMC). Secondary fatigue was excluded through the Epworth Sleepiness Scale and the Beck Depression Inventory. RT was measured at rest (t1), following a 2.5 hour test session inducing high cognitive load (t2), and a one hour recovery period (t3).
RESULTS:
At rest mean RT was longer in patients than in controls (391 ms vs 205 ms). After exerting cognitive load (t2), RT in patients increased dramatically but remained unchanged in controls. After the recovery period (t3), RT returned to baseline levels in most patients. Patients further showed a significant correlation between RT and FMSC scores at t1, t2 and t3.
CONCLUSION:
RT performance is a suitable surrogate marker for assessing fatigue. RT is sensitive to cognitive load and the recovery from cognitive demand. It hence represents an objective index for fatigability which can inform the management and treatment of MS.
3. Neural correlates of fatigue and fatigability
Spiteri S, Hassa T, Claros-Salinas D, Dettmers C, Schoenfeld MA. Neural correlates of task-dependent and independent fatigue components in patients with Multiple Sclerosis. Neurobiol Aging. 2017, http://journals.sagepub.com/doi/10.1177/1352458517743090 (paywalled)
Abstract
Background:
Among patients with multiple sclerosis (MS), fatigue is the most commonly reported symptom. It can be subdivided into an effort-dependent (fatigability) and an effort-independent component (trait-fatigue).
Objective:
The objective was to disentangle activity changes associated with effort-independent “trait-fatigue” from those associated with effort-dependent fatigability in MS patients.
Methods:
This study employed behavioral measures and functional magnetic imaging to investigate neural changes in MS patients associated with fatigue. A total of 40 MS patients and 22 age-matched healthy controls performed in a fatigue-inducing N-back task. Effort-independent fatigue was assessed using the Fatigue Scale of Motor and Cognition (FSMC) questionnaire.
Results:
Effort-independent fatigue was observed to be reflected by activity increases in fronto-striatal-subcortical networks primarily involved in the maintenance of homeostatic processes and in motor and cognitive control. Effort-dependent fatigue (fatigability) leads to activity decreases in attention-related cortical and subcortical networks.
Conclusion:
These results indicate that effort-independent (fatigue) and effort-dependent fatigue (fatigability) in MS patients have functionally related but fundamentally different neural correlates. Fatigue in MS as a general phenomenon is reflected by complex interactions of activity increases in control networks (effort-independent component) and activity reductions in executive networks (effort-dependent component) of brain areas.
4. Potentially relevant papers reviewing the concepts of fatigue and fatigability in MS / neurological illnesses in general
4.1 Kluger BM, Krupp LB, Enoka RM. Fatigue and fatigability in neurologic illnesses: proposal for a unified taxonomy. Neurology. 2013, 80 (4): 409-16, https://n.neurology.org/content/80/4/409 (paywalled)
free PMC article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3589241/
4.2 Rudroff, Thorsten, Kindred, John H, Ketelhut, Nathaniel B.; Fatigue in Multiple Sclerosis: Misconceptions and Future Research Directions, Frontiers in Neurology 2016 Aug 2;7:122. doi: 10.3389/fneur.2016.00122, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969300/
4.3 Manjaly Z, Harrison NA, Critchley HD, et al, Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis, Journal of Neurology, Neurosurgery & Psychiatry 2019;90:642-651, https://jnnp.bmj.com/content/jnnp/early/2019/01/25/jnnp-2018-320050.full.pdf
(Only skimmed these papers. They seem to me to make some useful points even though they might still be criticizable in particular with regard to how they conceive the two domains of 'performance fatiguability' vs 'perception of fatigue'.)
(Updated 2020-05-29)
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