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Background: Suboptimal performance during neuropsychological testing frequently occurs in multiple sclerosis (MS), leading to unreliable cognitive outcomes. Neurophysiological alterations correlate with MS-related cognitive impairment, but studies have not yet considered performance validity. Objectives: To investigate neurophysiological markers of cognitive impairment in MS, while explicitly addressing performance validity. Methods: Magnetoencephalography recordings, neuropsychological assessments, and performance validity testing were obtained from 90 MS outpatients with cognitive complaints. Spectral and resting-state functional connectivity (rsFC) properties were compared between cognitively impaired (CI), cognitively preserved (CP), and suboptimally performing (SUB) patients using regression models and permutation testing. Results: CI had higher power in low-frequency bands and lower power in high bands compared to CP, indicating neuronal slowing. CI also showed lower beta power compared to SUB. Overall power spectra visually differed between CI and CP, and SUB showed overlap with both groups. CI had lower rsFC than CP and SUB patients. CP and SUB patients showed no differences. Conclusion: Neuronal slowing and altered rsFC can be considered cognitive markers in MS. Patients who performed suboptimally showed resemblance with patients with and without cognitive impairments, and although their overall neurophysiological profile was more similar to patients without impairments, it suggests heterogeneity regarding their pathophysiology. [ABSTRACT FROM AUTHOR]

Background: Cognitive decline remains difficult to predict as structural brain damage cannot fully explain the extensive heterogeneity found between MS patients. Objective: To investigate whether functional brain network organization measured with magnetoencephalography (MEG) predicts cognitive decline in MS patients after 5 years and to explore its value beyond structural pathology. Methods: Resting-state MEG recordings, structural MRI, and neuropsychological assessments were analyzed of 146 MS patients, and 100 patients had a 5-year follow-up neuropsychological assessment. Network properties of the minimum spanning tree (i.e. backbone of the functional brain network) indicating network integration and overload were related to baseline and longitudinal cognition, correcting for structural damage. Results: A more integrated beta band network (i.e. smaller diameter) and a less integrated delta band network (i.e. lower leaf fraction) predicted cognitive decline after 5 years ( R adj 2 = 15 %), independent of structural damage. Cross-sectional analyses showed that a less integrated network (e.g. lower tree hierarchy) related to worse cognition, independent of frequency band. Conclusions: The level of functional brain network integration was an independent predictive marker of cognitive decline, in addition to the severity of structural damage. This work thereby indicates the promise of MEG-derived network measures in predicting disease progression in MS. [ABSTRACT FROM AUTHOR]

Background: Cognitive problems are difficult to identify in patients with multiple sclerosis (MS). Objective: To investigate the clinical applicability of the patient-reported MS Neuropsychological Screening Questionnaire (MSNQ-P). Methods: Cut-off scores were determined to differentiate between cognitively impaired (n = 90), mildly cognitively impaired (n = 115), and cognitively preserved (n = 147) MS patients using receiver operating characteristic analyses. Results: We could not define specific and sensitive cut-off scores. Higher scores (≥27) did indicate cognitive impairment. Among patients with a higher education, lower scores (<12) indicated intact cognition. Conclusion: Certain scores can indicate intact or impaired cognitive function. Still, MSNQ-P scores should be interpreted with caution. [ABSTRACT FROM AUTHOR]

Background: Nursing home (NH) residents with dementia experience a reduced quality of life (QoL), in part, due to a dependence in performing activities of daily living (ADL). Stimulating movement is associated with improvements in ADL performance. Therefore, movement stimulating interventions, such as ADL training and exercise, focus on optimizing ADL performance to improve QoL. This study aimed to evaluate the effect of three movement stimulating interventions on QoL and ADL performance in NH residents with dementia., Methods: In this 6-month double parallel randomized controlled trial, the effects of ADL training, a multicomponent aerobic and strength exercise training, and a combined ADL and exercise training were analyzed in 87 NH residents with dementia. The Global Deterioration Scale was used to classify the severity of dementia. Participants were screened at baseline using the 6 minute walk test and Mini-Mental State Examination. The Qualidem, and the Care Dependency Scale and Erlangen ADL test were evaluated at baseline, and after 3 and 6 months to measure QoL and ADL, respectively. Multilevel analyses were adjusted for baseline performance, age, and gender., Results: A 6-month ADL training positively affected overall QoL ( p = 0.004) and multiple aspects of QoL, including care relationship ( p = 0.004), positive self-image ( p = 0.002), and feeling at home ( p = 0.001), compared to care-as-usual. No benefits were observed of exercise on QoL. No benefits were observed of a combined ADL and exercise intervention on QoL. No effects were found of the three movement interventions on ADL performance., Conclusion: The results indicate that ADL training can improve QoL. The results contribute to the limited knowledge regarding the effect of movement stimulation on resident outcomes. Further large-scale studies are recommended., Competing Interests: Disclosure The authors report no conflicts of interest in this work.