4.2 Article

Cognitive Fatigue Predicts Cognitive Failure in Multiple Sclerosis Patients and Healthy Controls: A Case-Control Study

Journal

ARCHIVES OF CLINICAL NEUROPSYCHOLOGY
Volume 36, Issue 6, Pages 908-917

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/arclin/acaa118

Keywords

Multiple sclerosis; Cognitive fatigue; Physical fatigue; Cognitive mistakes; Depression; Executive functions

Funding

  1. German Research Foundation [MO 2363/3-2]

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Cognitive fatigue is the only significant predictor of cognitive mistakes in both MS patients and healthy controls, explaining additional variance in the MS group. Physical fatigue does not impact cognitive mistakes. Age and depression show differing impacts on cognitive mistakes in healthy controls compared to MS patients. Depression is significantly correlated with cognitive mistakes and cognitive fatigue in MS patients.
Objective: Fatigue and cognitive deficits are frequent symptoms of multiple sclerosis (MS). However, the exact nature of their co-occurrence is not fully understood. We sought to determine the impact of cognitive and physical fatigue on subjective cognitive deficits in MS patients and healthy controls. Methods: Self-reports of fatigue (FSMC), depression (CES-D), cognitive deficits (CFQ), and personality traits (NEO-FFI, ANPS) among 30 MS inpatients and 30 healthy controls were analyzed using hierarchical regression models. The frequency of cognitive mistakes was used as the dependent variable and the extent of cognitive and physical fatigue as the independent variable. Results: Cognitive fatigue was the only unique and significant predictor of cognitive mistakes in both groups, explaining 13.3% of additional variance in the MS group after correcting for age, mood, and physical fatigue. Physical fatigue had no significant impact on cognitive mistakes. While age had an impact on cognitive mistakes and depression in healthy controls, this association was not significant in MS patients. Depression was significantly correlated with cognitive mistakes and cognitive fatigue in MS patients. Conclusions: The interplay of cognitive fatigue and subjective cognitive impairment can be generalized, with the exception of the variables of age and depression, which were shown to have differing impacts on cognitive mistakes in MS patients and healthy controls, respectively. Cognitive fatigue was linked to cognitive mistakes even after correcting for overlapping items in MS patients only. Future research should further investigate the link between cognitive fatigue and attention lapses in daily life by using various objective assessments.

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