22 research outputs found

    Mind wandering in people with Multiple Sclerosis: A psychometric study

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    Background: Although mind wandering (MW) is associated with various psychological aspects frequently affected in people with Multiple Sclerosis (PwMS), there is lack of validated tools to assess MW in this clinical population.Objective: This psychometric study aimed to assess structural and construct validity and reliability of a brief Italian version of Mind Wandering (MW) Scale that measures two different dimensions of MW, i.e., spontaneous (MW-S) and deliberate (MW-D).Methods: Structural validity of the MW Scale was assessed by explorative factor analysis (EFA). To investigate construct validity, mood (Hospital Anxiety Depression Scale) and personality (10-items Big Five Inventory Test) were correlated with MW constructs. Reliability was assessed by Cronbach's alpha for internal consistency and intraclass correlation coefficients.Results: EFA confirmed two distinct constructs of MW, i.e., MW-S and MW-D, also in PwMS. This tool appropriately fits the graded response model, supporting validity (about 79% of hypotheses for convergent and discriminant constructs confirmed) and internal consistency (MW-S: Cronbach's alpha = 0.84; MW-D: Cronbach's alpha = 0.88).Conclusion: MW Scale could be a useful tool to measure MW also in PwMS. As MW seems to be connected to clinical manifestations of MS, a detailed assessment of MW should be encouraged in clinical practice

    Brain activity pattern changes after adaptative working memory training in multiple sclerosis

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    Cognitive impairment and related abnormal brain activity are common in people with multiple sclerosis (PwMS). Adaptive training based on working memory (WM) has been shown to ameliorate cognitive symptoms, although the effects at a neural level are unclear. The aim of this study was to expand the existing research on the effects of an adaptive WM rehabilitative intervention on brain functional activity in PwMS. A sample of eighteen PwMS performed an 8-week home-based cognitive rehabilitation treatment based on adaptive WM training. PwMS were assessed before and after treatment using a validated neuropsychological battery and undergoing an fMRI session while carrying out a cognitive task (i.e., Paced Visual Serial Addition Test - PVSAT). fMRI activations were compared to the activation pattern elicited by eighteen matched healthy subjects performing the same task. At baseline, we found abnormal brain activity during PVSAT in PwMS when compared to healthy subjects, with a pattern including several bilateral activation clusters. Following rehabilitation, PwMS improved cognitive performance, as evaluated by the neuropsychological battery, and showed a different activation map with clusters mainly located in the right cerebellum and in the left hemisphere. The only significant cluster in the right hemisphere was located in the inferior parietal lobule, and the BOLD signal extracted in this area significantly correlated with cognitive performance both before and after the treatment. We suggest that WM training can improve the cognitive performance and reduce the abnormal activation of PwMS by partially maintaining or even restoring brain cognitive function

    Evaluating Cognitive-Motor Interference in Multiple Sclerosis: A Technology-Based Approach

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    Background: People with multiple sclerosis (PwMS) frequently present both cognitive and motor impairments, so it is reasonable to assume they may have difficulties in executing dual-tasks (DT). The aim of the present study is to identify novel technology-based parameters to assess cognitive-motor interference (CMI) in PwMS. In particular, we focused on the definition of dual-task cost (DTC) measures using wearable and portable tools such as insoles and mobile apps. Methods: All participants underwent a verbal fluency task (cognitive single-task, ST), a motor ST of walking, and a combination of these tasks (DT). Number of words uttered in the cognitive ST and steps recorded by insoles were used to calculate the motor and cognitive DTC. Results: The number of steps strongly correlated with the walked meters for both single- (r = 0.88, p p < 0.05) tasks. Motor but not cognitive performances significantly worsened during DT. Over the cognitive ST and DT, the number of pronounced words progressively decreased, probably due to the activation of different cognitive processes. Cognitive efforts could be the cause of cognitive task prioritization. Conclusions: Our findings promote the use of low-cost devices to assess CMI easily in the clinical context and to detect ecologically valid DT impairments

    Tailored balance exercises on people with multiple sclerosis: A pilot randomized, controlled study

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    Altered integration of signals from visual (VIS), somatosensory (PROP) and vestibular system (VEST) lead to balance control impairments affecting the daily living activities of patients with multiple sclerosis (PwMS). As a consequence, tailored interventions could be crucial in improving efficacy of balance rehabilitation treatments

    Spatial constraints and cognitive fatigue affect motor imagery of walking in people with multiple sclerosis

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    Motor imagery (MI) is the mental simulation of an action without any overt motor execution. Interestingly, a temporal coupling between durations of real and imagined movements, i.e., the so-called isochrony principle, has been demonstrated in healthy adults. On the contrary, anisochrony has frequently been reported in elderly subjects or those with neurological disease such as Parkinson disease or multiple sclerosis (MS). Here, we tested whether people with MS (PwMS) may have impaired MI when they imagined themselves walking on paths with different widths. When required to mentally simulate a walking movement along a constrained pathway, PwMS tended to overestimate mental movement duration with respect to actual movement duration. Interestingly, in line with previous evidence, cognitive fatigue was found to play a role in the MI of PwMS. These results suggest that investigating the relationship between cognitive fatigue and MI performances could be key to shedding new light on the motor representation of PwMS and providing critical insights into effective and tailored rehabilitative treatments

    Imagined actions in multiple sclerosis patients: evidence of decline in motor cognitive prediction

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    Motor imagery is a mental process during which subjects internally simulate a movement without any motor output. Mental and actual movement durations are similar in healthy adults (isochrony) while temporal discrepancies (anisochrony) could be an expression of neurological deficits on action representation. It is unclear whether patients with multiple sclerosis (PwMS) preserve the capacity to simulate their own movements. This study investigates the ability of PwMS to predict their own actions by comparing temporal features of dominant and non-dominant actual and mental actions. Fourteen PwMS and nineteen healthy subjects (HS) were asked to execute and to imagine pointing arm movements among four pairs of targets of different sizes. Task duration was calculated for both actual and mental movements by an optoelectronic device. Results showed temporal consistency and target-by-target size modulation in actual movements through the four cycles for both groups with significantly longer actual and mental movement durations in PwMS with respect to HS. An index of performance (IP) was used to examine actual/mental isochrony properties in the two groups. Statistical analysis on IP showed in PwMS significantly longer actual movement durations with respect to mental movement durations (anisochrony), more relevant for the non-dominant than dominant arm. Mental prediction of motor actions is not well preserved in MS where motor and cognitive functional changes are present. Differences in performing imagined task with dominant and non-dominant arm could be related to increased cognitive effort required for performing non-dominant movements

    Don't plan, just do it: Cognitive and sensorimotor contributions to manual dexterity

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    Manual dexterity is referred to as the skill to perform fine motor movements and it has been assumed to be associated to the cognitive domain, as well as the sensorimotor one. In this work, we investigated with functional near-infrared spectroscopy the cortical activations elicited by the execution of the 9-HPT, i.e., a standard test evaluating manual dexterity in which nine pegs were taken, placed into and then removed from nine holes on a board as quickly as possible. For comparison, we proposed a new active control task mainly involving the sensorimotor domain, in which the pegs must be placed and removed using the same single hole (1-HPT). Behaviorally, we found two distinct groups based on the difference between the execution time of the 9-HPT and the 1-HPT (ΔHPT). Cortical areas belonging to the network controlling reaching and grasping movements were active in both groups; however, participants showing a large ΔHPT presented significantly higher activation in prefrontal cortical areas (right BA10 and BA11) during 9-HPT and 1-HPT performance with respect to the participants with a small ΔHPT, who showed a deactivation in BA10. Unexpectedly, we observed a significant linear relationship between ΔHPT and right BA10 activity. This suggested that participants performing the 9-HPT more slowly than the 1-HPT recruited prefrontal areas implicitly exploiting the cognitive skills of planning, perhaps in search of a motor strategy to solve the test activating attentional and cognitive control processes, but this resulted not efficient and instead increased the time to accomplish a manual dexterity task

    Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study

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    BackgroundMobile health (mHealth) apps have proven useful for people with multiple sclerosis (MS). Thus, easy-to-use digital solutions are now strongly required to assess and monitor cognitive impairment, one of the most disturbing symptoms in MS that is experienced by almost 43% to 70% of people with MS. Therefore, we developed DIGICOG-MS (Digital assessment of Cognitive Impairment in Multiple Sclerosis), a smartphone- and tablet-based mHealth app to self-assess cognitive impairment in MS. ObjectiveThis study aimed to test the validity and usability of the novel mHealth app with a sample of people with MS. MethodsDIGICOG-MS includes 4 digital tests assumed to evaluate the most affected cognitive domains in MS (visuospatial memory [VSM], verbal memory [VM], semantic fluency [SF], and information processing speed [IPS]) and inspired by traditional paper-based tests that assess the same cognitive functions (10/36 Spatial Recall Test, Rey Auditory Verbal Learning Test, Word List Generation, Symbol Digit Modalities Test). Participants were asked to complete both digital and traditional assessments in 2 separate sessions. Convergent validity was analyzed using the Pearson correlation coefficient to determine the strength of the associations between digital and traditional tests. To test the app’s reliability, the agreement between 2 repeated measurements was assessed using intraclass correlation coefficients (ICCs). Usability of DIGICOG-MS was evaluated using the System Usability Scale (SUS) and mHealth App Usability Questionnaire (MAUQ) administered at the conclusion of the digital session. ResultsThe final sample consisted of 92 people with MS (60 women) followed as outpatients at the Italian Multiple Sclerosis Society (AISM) Rehabilitation Service of Genoa (Italy). They had a mean age of 51.38 (SD 11.36) years, education duration of 13.07 (SD 2.74) years, disease duration of 12.91 (SD 9.51) years, and a disability level (Expanded Disability Status Scale) of 3.58 (SD 1.75). Relapsing-remitting MS was most common (68/92, 74%), followed by secondary progressive (15/92, 16%) and primary progressive (9/92, 10%) courses. Pearson correlation analyses indicated significantly strong correlations for VSM, VM, SF, and IPS (all P0.90) for VM and IPS and good for VSM and SF (ICCs>0.80). Moreover, the SUS score averaged 84.5 (SD 13.34), and the mean total MAUQ score was 104.02 (SD 17.69), suggesting that DIGICOG-MS was highly usable and well appreciated. ConclusionsThe DIGICOG-MS tests were strongly correlated with traditional paper-based evaluations. Furthermore, people with MS positively evaluated DIGICOG-MS, finding it highly usable. Since cognitive impairment poses major limitations for people with MS, these findings open new paths to deploy digital cognitive tests for MS and further support the use of a novel mHealth app for cognitive self-assessment by people with MS in clinical practice

    Predictors of Mood Disorders in Parents With Multiple Sclerosis: The Role of Disability Level, Coping Techniques, and Perceived Social Support

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    Background: Being a parent can be demanding and stressful, especially for people with chronic diseases such as multiple sclerosis (MS). Parenting can be disrupted by flareups, disease worsening, and other MS symptoms, including mobility problems, pain, fatigue, and cognitive impairment. Mood disorders, such as depression and anxiety, have been found to occur at much higher rates in people with MS than in the general population. Surprisingly, less is known about which factors may predict mood disorders in parents with MS. This study aims to identify potential demographic, clinical, and self-reported predictors that contribute to mood disorders measured by the Hospital Anxiety and Depression Scale. Methods: A total of 285 parents with MS completed an anonymous online questionnaire combining sociodemographic, clinical, and family characteristics and scales, validated in Italian, related to coping strategies and social support. Associations between each variable and mood disorders were assessed using univariate and multivariate logistic regression analyses. Results: Disability level, emotional and dysfunctional coping strategies, and perceived social support were significant predictors of mood disorders in parents with MS. Conclusions: These findings confirm the importance of identifying risk factors for mood disorders in parents with MS so that early intervention can minimize mood disruptions caused by the disease

    Italian validation of the Arm Function in Multiple Sclerosis Questionnaire (AMSQ)

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    Introduction: Arm and hand function deficits are commonly in people with multiple sclerosis (PwMS). The Arm Function in Multiple Sclerosis Questionnaire (AMSQ) is a novel self-administered instrument specifically developed to evaluate upper limb function in MS. The aim of this study was to translate and adapt the AMSQ into Italian and to assess its psychometric properties in PwMS. Validity (structural, construct, and known-groups) and reliability (internal consistency, test-retest, and measurement error) were assessed. Materials and methods: From June 2017 to February 2018, a prospective cohort of PwMS among those followed as outpatients at the Rehabilitation Services of the Italian Multiple Sclerosis Society (AISM) of Genoa, Padua, and Vicenza was involved in the study. Construct validity of AMSQ was determined by examining correlations with the Italian version of ABILHAND, Modified Fatigue Impact Scale (MFIS), and Functional Independence Measure (FIM). Results: A total of 234 PwMS were enrolled. The mean AMSQ total score was 67.3 (SD = 38.4). Factor analysis results suggested one factor. As expected, moderate to high correlation coefficients were found between AMSQ and ABILHAND (− 0.79), MFIS (0.50) and its subsets, and FIM (− 0.60) and its subsets involving upper limb functioning. PwMS with higher EDSS reported worse total score of AMSQ than patients with low disability. The internal consistency of the 31 items was high (Cronbach’s α, 0.98). Test-retest reliability, as measured with ICC, was 0.96 (95% IC, 0.93–0.98), and measurement error was about 8.3 points showing good reliability. Discussion: AMSQ has been adapted and validated, it is a reliable questionnaire for Italian PwMS
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