Neural mechanisms underlying state mental fatigue in multiple sclerosis: a pilot study

Chen, Michelle H.; Wylie, Glenn R.; Sandroff, Brian M.; Dacosta-Aguayo, Rosalía; DeLuca, John; Genova, Helen M.

doi:10.1007/s00415-020-09853-w

Cited by 45 publications

(41 citation statements)

References 31 publications

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“…However, data show a possible contribution of the gray matter on fatigue development [ 45 ]. A recent pilot study demonstrated that patients with MS may link neural resources less efficiently than healthy people, which might result in higher levels of mental fatigue [ 46 ]. Even though many studies exist on fatigue and its therapy, treatment options remain extremely limited.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Coffee and Caffeine Consumption on Patients with Multiple Sclerosis-Related Fatigue

Herden

Weissert

2020

Nutrients

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Background: Coffee and caffeine are considered to have beneficial effects in patients with multiple sclerosis (MS), an autoimmune disease of the central nervous system (CNS) that can lead to disability and chronic fatigue. Methods: In the present study the preference in terms of coffee and caffeine consumption in patients with MS was assessed. In total the opinions of 124 MS patients were explored with a questionnaire, which was developed to investigate the consumption behavior and associated beneficial and harmful effects of coffee and caffeine concerning symptoms of fatigue. Results: Our study showed that 37.1% of the included patients experience severe symptoms of fatigue. In our cohort, fatigue was not related to age, type of diagnosis or duration of the disease. The effects of coffee did not differ between MS patients with and without fatigue. Very few side effects linked to coffee consumption were reported, and we could demonstrate that coffee consumption had no negative impact on quality of sleep. A positive effect on everyday life was observed particularly among patients with a mid-level expanded disability status scale (EDSS). The strongest effects of coffee consumption were observed regarding a better ability to concentrate while fulfilling tasks, an expanded attention span and a better structured daily routine. Conclusions: Since coffee showed no severe side effects and in the absence of an effective fatigue therapy, coffee consumption might be a therapeutic approach for selected patients with MS-related fatigue.

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Section: Discussionmentioning

confidence: 99%

The Effect of Coffee and Caffeine Consumption on Patients with Multiple Sclerosis-Related Fatigue

Herden

Weissert

2020

Nutrients

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“…ey evaluated the mental fatigue before and after each behavioral task using the visual simulation fatigue scale. Results suggested a close relationship between the allocation efficiency of neural resources and the aggravation of mental fatigue [14]. In summary, the mechanism of mental fatigue is complicated.…”

Section: Introductionmentioning

confidence: 85%

[Retracted] Construction of a Multimodal Neuroimaging Data Fusion System and Evaluation of Mental Fatigue Using Nonlinear Analysis

Chen

Lai

2021

Complexity

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The purpose of this research is to explore the optimization and fusion application of multimodal neuroimaging technology and analyze the evaluation method of human brain fatigue based on multimodal neuroimaging technology. Based on electroencephalogram (EEG) and fMRI (functional magnetic resonance imaging), the four-dimensional consistency of local neural activities (FOCA) and local multimodal serial analysis (LMSA) are first introduced to fuse EEG and fMRI organically. Second, the eigenspace maximal information canonical correlation analysis (emiCCA) is introduced to construct the multimodal neuroimaging data fusion system. Finally, how the brain function network is constructed is introduced. Based on the binary and the weighted brain function networks, the relationship between the human brain fatigue and the brain function network is evaluated by calculating the fractal dimension. Results demonstrate that FOCA performs well in temporal and spatial consistency indexes, and the mean level and standard deviation in the case of temporal and spatial consistency are approximately 0.45. The effect of LMSA indexes is significantly better than generalized linear models (GLMs). Under different signal-to-noise ratios (SNRs), the regression coefficient based on LMSA is much larger than the GLM estimate; the corresponding significance level is p < 0.05 ; and the maximum value of the regression coefficient appears near 0.2. In the data fusion system, the time-space matching has good results under the time accuracy based on EEG and the space accuracy based on fMRI, with the time accuracy above 88% and the space accuracy above 89%. The fractal dimension analysis based on the brain function network reveals that the weighted brain function network is more sensitive to mental fatigue. The state of human brain fatigue will make the brain function network more complicated. The fractal dimension with more network edges is around 2.2, while the fractal dimension with fewer network edges is around 1.6. The proposed data analysis and fusion system have great application potential and propose a new idea for analyzing human brain fatigue and brain aging.

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“…Research on the association between fatiguability and cognitive performance has been somewhat more conclusive, with the majority of studies demonstrating that fatiguability (e.g., cognitive exertion) impairs cognitive performance over time (Johnson et al, 1997;Krupp & Elkins, 2000;Kujala, Portin, Revonsuo, & Ruutiainen, 1995). One group of researchers has examined the neural correlates of diminished or variable performance during sustained effort over time using performance on a modified Symbol Digit Modalities (mSDMT) test as a marker of state mental fatigue (Chen et al, 2020;DeLuca, Genova, Hillary, & Wylie, 2008). Results from this series of studies demonstrated that state mental fatigue was associated with greater activation in the caudate in PwMS compared to controls and that PwMS allocated neural resources less efficiently when sustaining effort over time.…”

Section: Fatiguability and Cognitive Dysfunctionmentioning

confidence: 99%

Perceived Fatigue Impact and Cognitive Variability in Multiple Sclerosis

Riegler

Cadden

Guty

et al. 2021

J Int Neuropsychol Soc

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Objective: People with Multiple Sclerosis (PwMS) and healthy controls (HCs) were evaluated on cognitive variability indices and we examined the relationship between fatigue and cognitive variability between these groups. Intraindividual variability (IIV) on a neuropsychological test battery was hypothesized to mediate the group differences expected in fatigue. Method: Fifty-nine PwMS and 51 HCs completed a psychosocial interview and battery of neuropsychological tests and questionnaires during a 1-day visit. Fatigue in this study was measured with the Fatigue Impact Scale (FIS), a self-report multidimensional measure of fatigue. IIV was operationalized using two different measures, a maximum discrepancy score (MDS) and intraindividual standard deviation (ISD), in two cognitive domains, memory and attention/processing speed. Two mediation analyses with group (PwMS or HCs) as the independent variable, variability composite (memory or attention/processing speed) measures as the mediators, total residual fatigue (after accounting for age) as the outcome, and depression as a covariate were conducted. The Baron and Kenny approach to testing mediation and the PROCESS macro for testing the strength of the indirect effect were used. Results: Results of a mediation analysis using 5000 bootstrap samples indicated that IIV in domains of both attention/processing speed and memory significantly mediated the effect of patient status on total residual fatigue. Conclusion: IIV is an objective performance measure that is related to differences in fatigue impact between PwMS and HCs. PwMS experience more variability across tests of attention/processing speed and memory and this experience of variable performance may increase the impact of fatigue.

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Neural mechanisms underlying state mental fatigue in multiple sclerosis: a pilot study

Cited by 45 publications

References 31 publications

The Effect of Coffee and Caffeine Consumption on Patients with Multiple Sclerosis-Related Fatigue

The Effect of Coffee and Caffeine Consumption on Patients with Multiple Sclerosis-Related Fatigue

[Retracted] Construction of a Multimodal Neuroimaging Data Fusion System and Evaluation of Mental Fatigue Using Nonlinear Analysis

Perceived Fatigue Impact and Cognitive Variability in Multiple Sclerosis

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