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

BACKGROUND: Mobile 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. OBJECTIVE: This study aimed to test the validity and usability of the novel mHealth app with a sample of people with MS. METHODS: DIGICOG-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. RESULTS: The 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 P<.001), with r values ranging from 0.58 to 0.78 for all cognitive domains. Test-retest reliability of the mHealth app was excellent (ICCs>0.90) 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. CONCLUSIONS: The 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.

Testing Dynamic Balance in People with Multiple Sclerosis: A Correlational Study between Standard Posturography and Robotic-Assistive Device.

BACKGROUND: Robotic devices are known to provide pivotal parameters to assess motor functions in Multiple Sclerosis (MS) as dynamic balance. However, there is still a lack of validation studies comparing innovative technologies with standard solutions. Thus, this study's aim was to compare the postural assessment of fifty people with MS (PwMS) during dynamic tasks performed with the gold standard EquiTest® and the robotic platform hunova®, using Center of Pressure (COP)-related parameters and global balance indexes. METHODS: Pearson's ρ correlations were run for each COP-related measure and the global balance index was computed from EquiTest® and hunova® in both open (EO) and closed-eyes (EC) conditions. RESULTS: Considering COP-related parameters, all correlations were significant in both EO (0.337 ≤ ρ ≤ 0.653) and EC (0.344 ≤ ρ ≤ 0.668). Furthermore, Pearson's analysis of global balance indexes revealed relatively strong for visual and vestibular, and strong for somatosensory system associations (ρ = 0.573; ρ = 0.494; ρ = 0.710, respectively). CONCLUSIONS: Findings confirm the use of hunova® as a valid device for dynamic balance assessment in MS, suggesting that such a robotic platform could allow for a more sensitive assessment of balance over time, and thus a better evaluation of the effectiveness of personalized treatment, thereby improving evidence-based clinical practice.

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

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 < 0.05) and dual- (r = 0.91, 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.

The role of sensory systems in the association between balance and walking in people with multiple sclerosis.

BACKGROUND: In Multiple Sclerosis, it has been demonstrated that balance is related to performances in walking tasks at different levels of complexity. However, it is unknown how the different sensory systems involved in balance control contribute to walking. This observational study investigates the associations between somatosensory, vestibular, and visual systems and measures of self-reported walking and walking capacity at different complexity levels (i.e. low, medium, and high). METHODS: People with MS with EDSS<6 were assessed through the Sensory Organization Test (SOT), 12-Item MS Walking Scale (MSWS-12), Timed 25-Foot Walk (T25FW), Timed Up-and-Go Test (TUG), and Six-Spot-Step-Test (SSST). T25FW, TUG and SSST are measures of low, medium and high walking capacity, respectively. RESULTS: Forty-five PwMS were enrolled (EDSS: 3.4 ± 1.3). Capacity/ability walking measures were moderate-to-highly significantly associated (p < 0.01). Balance measures from SOT showed significant correlation (p < 0.05) between vestibular system and all the walking measures; between visual system and T25FW, SSST and MSWS-12; between the degree to which the patient relies on the visual system to maintain balance with conflicting visual surroundings information (VIS PREF) and T25FW and TUG. In the multivariate analyses, only VIS PREF significantly correlated (p < 0.05) with T25FW (std. Beta=0.42) and TUG (std. Beta=0.38). CONCLUSIONS: Vestibular and visual systems are associated with walking capacity. However, tasks with higher complexity levels require more visual attention towards ground obstacles, as often seen in real-life activities, whereas simpler walking tasks seem to require visual attention towards the surroundings.

Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol.

(1) Objective: We explore the predictive power of a novel stream of patient data, combining wearable devices and patient reported outcomes (PROs), using an AI-first approach to classify the health status of Parkinson's disease (PD), multiple sclerosis (MS) and stroke patients (collectively named PMSS). (2) Background: Recent studies acknowledge the burden of neurological disorders on patients and on the healthcare systems managing them. To address this, effort is invested in the digital transformation of health provisioning for PMSS patients. (3) Methods: We introduce the data collection journey within the ALAMEDA project, which continuously collects PRO data for a year through mobile applications and supplements them with data from minimally intrusive wearable devices (accelerometer bracelet, IMU sensor belt, ground force measuring insoles, and sleep mattress) worn for 1-2 weeks at each milestone. We present the data collection schedule and its feasibility, the mapping of medical predictor variables to wearable device capabilities and mobile application functionality. (4) Results: A novel combination of wearable devices and smartphone applications required for the desired analysis of motor, sleep, emotional and quality-of-life outcomes is introduced. AI-first analysis methods are presented that aim to uncover the prediction capability of diverse longitudinal and cross-sectional setups (in terms of standard medical test targets). Mobile application development and usage schedule facilitates the retention of patient engagement and compliance with the study protocol.

Motor imagery has a priming effect on motor execution in people with multiple sclerosis.

Priming is a learning process that refers to behavioral changes caused by previous exposure to a similar stimulus. Motor imagery (MI), which involves the mental rehearsal of action representations in working memory without engaging in actual execution, could be a strategy for priming the motor system. This study investigates whether MI primes action execution in Multiple Sclerosis (MS). Here, 17 people with MS (PwMS) and 19 healthy subjects (HS), all right-handed and good imaginers, performed as accurately and quickly as possible, with a pencil, actual or mental pointing movements between targets of small (1.0 × 1.0 cm) or large (1.5 × 1.5 cm) size. In actual trials, they completed five pointing cycles between the left and right targets, whereas in mental trials, the first 4 cycles were imagined while the fifth was actually executed. The fifth cycle was introduced to assess the MI priming effect on actual execution. All conditions, presented randomly, were performed with both dominant (i.e., right) and non-dominant arms. Analysis of the duration of the first 4 cycles in both actual and mental trials confirmed previous findings, showing isochrony in HS with both arms and significantly faster mental than actual movements (anisochrony) in PwMS (p < 0.01) [time (s); HS right: actual: 4.23 ± 0.15, mental: 4.36 ± 0.16; left: actual: 4.32 ± 0.15, mental: 4.43 ± 0.18; PwMS right: actual: 5.85 ± 0.16, mental: 5.99 ± 0.21; left: actual: 6.68 ± 0.20, mental: 5.94 ± 0.23]; anisochrony in PwMS was present when the task was performed with the non-dominant arm. Of note, temporal analysis of the fifth actual cycle showed no differences between actual and mental trials for HS with both arms, whereas in PwMS the fifth actual cycle was significantly faster after the four actual cycles for the non-dominant arm (p < 0.05) [time (s); HS right: actual: 1.03 ± 0.04, mental: 1.03 ± 0.03; left: actual: 1.08 ± 0.04, mental: 1.05 ± 0.03; PwMS right: actual: 1.48 ± 0.04, mental: 1.48 ± 0.06; left: actual: 1.66 ± 0.05, mental: 1.48 ± 0.06]. These results seem to suggest that a few mental repetitions of an action might be sufficient to exert a priming effect on the actual execution of the same action in PwMS. This would indicate further investigation of the potential use of MI as a new motor-cognitive tool for MS neurorehabilitation.

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

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.

Standard versus innovative robotic balance assessment for people with multiple sclerosis: a correlational study.

INTRODUCTION: Balance disorders are common in people with Multiple Sclerosis (PwMS) and, together with other impairments and disabilities, often prevent PwMS from performing their daily living activities. Besides clinical scales and performance tests, robotic platforms can provide more sensitive, specific, and objective monitoring. Validated technologies have been adopted as gold standard, but innovative robotic solutions would represent an opportunity to detect balance impairment in PwMS. AIM: Study's aim was to compare postural assessment of 46 PwMS with a relapsing-remitting form during static tasks performed with the novel robotic platform hunova® and the gold standard EquiTest®, METHODS: Pearson's r was run on Center of Pressure (COP)-related parameters and global static balance measures computed from hunova® and EquiTest® in eyes-open (EO) and eyes-closed (EC) conditions. In addition, agreeableness level toward the use of both devices was tested through numeric rating scale. RESULTS: Considering COP-related parameters, correlations were significant for all measures (p < .001). Interestingly, in EO, a strong correlation was shown for sway area (r = .770), while Medio-Lateral (ML) and Anterior-Posterior (AP) oscillation range, path length, ML and AP speed, ML and AP root mean square distance had a relatively strong association (.454 ≤ r ≤ .576). In EC, except for ML oscillation range showing a relatively strong correlation (r = .532), other parameters were strongly associated (.603 ≤ r ≤ .782). Correlations between global balance indexes of hunova® and EquiTest® revealed a relatively strong association between the Somatosensory Score in EquiTest® and the Somatosensory Index in hunova® (r = - .488). While in EO Static Balance Index from hunova® was highly correlated with Equilibrium score of EquiTest® (r = .416), Static Balance Index had a relatively strong association with both the Equilibrium (r = .482) and Strategy Score (r = .583) of EquiTest® in EC. Results from agreeableness rating scale revealed that hunova® was highly appreciated compared to EquiTest® (p = .044). CONCLUSIONS: hunova® represents an innovative adjunct to standard robotic balance evaluation for PwMS. This confirms that combining traditional and robotic assessments can more accurately detect balance impairments in MS.

Mobile App Interventions for Parkinson's Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review.

Central nervous system diseases (CNSDs) lead to significant disability worldwide. Mobile app interventions have recently shown the potential to facilitate monitoring and medical management of patients with CNSDs. In this direction, the characteristics of the mobile apps used in research studies and their level of clinical effectiveness need to be explored in order to advance the multidisciplinary research required in the field of mobile app interventions for CNSDs. A systematic review of mobile app interventions for three major CNSDs, i.e., Parkinson's disease (PD), multiple sclerosis (MS), and stroke, which impose significant burden on people and health care systems around the globe, is presented. A literature search in the bibliographic databases of PubMed and Scopus was performed. Identified studies were assessed in terms of quality, and synthesized according to target disease, mobile app characteristics, study design and outcomes. Overall, 21 studies were included in the review. A total of 3 studies targeted PD (14%), 4 studies targeted MS (19%), and 14 studies targeted stroke (67%). Most studies presented a weak-to-moderate methodological quality. Study samples were small, with 15 studies (71%) including less than 50 participants, and only 4 studies (19%) reporting a study duration of 6 months or more. The majority of the mobile apps focused on exercise and physical rehabilitation. In total, 16 studies (76%) reported positive outcomes related to physical activity and motor function, cognition, quality of life, and education, whereas 5 studies (24%) clearly reported no difference compared to usual care. Mobile app interventions are promising to improve outcomes concerning patient's physical activity, motor ability, cognition, quality of life and education for patients with PD, MS, and Stroke. However, rigorous studies are required to demonstrate robust evidence of their clinical effectiveness.

Cognitive rehabilitation in multiple sclerosis: Three digital ingredients to address current and future priorities.

Multiple sclerosis (MS) is a neurological chronic disease with autoimmune demyelinating lesions and one of the most common disability causes in young adults. People with MS (PwMS) experience cognitive impairments (CIs) and clinical evidence shows their presence during all MS stages even in the absence of other symptoms. Cognitive rehabilitation (CR) aims at reducing CI and improving PwMS' awareness of cognitive difficulties faced in their daily living. More defined cognitive profiles, easier treatment access and the need to transfer intervention effects into everyday life activities are aims of utmost relevance for CR in MS. Currently, advanced technologies may pave the way to rethink CR in MS to address the priority of more personalized and effective, accessible and ecological interventions. For this purpose, digital twins, tele-cognitive-rehabilitation and metaverse are the main candidate digital ingredients. Based on scientific evidences, we propose digital twin technology to enhance MS cognitive phenotyping; tele-cognitive-rehabilitation to make feasible the cognitive intervention access to a larger number of PwMS; and metaverse to represent the best choice to train real-world dual- and multi-tasking deficits in virtual daily life environments. Moreover, multi-domain high-frequency big-data collected through tele-cognitive-assessment, tele-cognitive-rehabilitation, and metaverse may be merged to refine artificial intelligence algorithms and obtain increasingly detailed patient's cognitive profile in order to enhance intervention personalization. Here, we present how these digital ingredients and their integration could be crucial to address the current and future needs of CR facilitating the early detection of subtle CI and the delivery of increasingly effective treatments.

Changes in physiotherapy services and use of technology for people with multiple sclerosis during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has led to reorganization or reduction of neurorehabilitation services for people with multiple sclerosis (PwMS). The aim of this study was to explore the changes in the organizational framework and technology usage in physiotherapy services for PwMS during the COVID-19 pandemic. METHODS: This international cross-sectional survey study was designed, developed, and disseminated by RIMS European Network for Best Practice and Research in Multiple Sclerosis Rehabilitation. Physiotherapists from nine countries (Australia, Belgium, Czech Republic, Ireland, Israel, Italy, Norway, Spain, Turkey) who provided physiotherapy services to PwMS, were invited to complete an online survey to compare physiotherapy delivery to PwMS prior to and during the pandemic period. RESULTS: The survey was completed by 215 physiotherapists. Accessibility, the average number, length and perceived effectiveness of physiotherapy sessions provided to PwMS were significantly reduced during the COVID-19 pandemic (p=0.001). Physiotherapists increased the advice of mobile apps, recorded videos for rehabilitation and exercise websites during the pandemic (p<0.001) while the use of telerehabilitation and virtual reality technology did not change. CONCLUSION: There was of a reduction in the number, duration and perceived effectiveness of rehabilitation sessions for people with multiple sclerosis during the COVID-19 pandemic while use of remote technologies for physiotherapy did not change. To ensure the continuity of physiotherapy for PwMS with complex healthcare needs also during pandemics, the provision of guidelines and training in telehealth technologies in professional education becomes crucial.

Physical Activity in Multiple Sclerosis: Meeting the Guidelines at the Time of the COVID-19 Pandemic.

BACKGROUND AND PURPOSE: Regular physical activity (PA) helps to reduce the severity of physical and mental symptoms and improves quality of life in people with multiple sclerosis (PwMS). Based on current evidence and expert opinion, the recent multiple sclerosis guidelines recommend at least 150 minutes/week of PA. This study presents the results of a survey analyzing whether and how PwMS met the guidelines before and during the pandemic. METHODS: We developed and disseminated an international online survey between December 2020 and July 2021, investigating changes in self-reported PA type, duration, frequency, and intensity due to the COVID-19 outbreak in PwMS with differing disability levels. RESULTS: Among respondents (n = 3810), 3725 were eligible. The proportion of those who conducted at least one activity decreased with increasing disability level at both time points (pre and during). Overall 60% of respondents met the guidelines before the pandemic (mild: 64.43%; moderate: 51.53%; severe: 39.34%; χ 2(2) = 109.13, P < 0.01); a reduction of approximately 10% occurred during the pandemic in all disability groups (mild: 54.76%; moderate: 42.47%; severe: 29.48%; χ 2(2) = 109.67, P < 0.01). Respondents with higher disability participated more in physical therapy and less in walking, cycling, and running at both time points. Most respondents reported practicing PA at a moderate intensity at both time points; frequency and duration of sessions decreased as disability level increased. DISCUSSION AND CONCLUSIONS: The percentage of those meeting the guidelines reduced with increasing disability level and during the pandemic. PA type and intensity varied widely across the disability categories. Interventions accounting for disability level are required to enable more PwMS to reap the benefits of PA.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A415 ).

Barriers to exercise and the role of general practitioner: A cross-sectional survey among people with multiple sclerosis.

Introduction: Regular exercise is strongly recommended for people with MS (pwMS), but recent studies still describe them as sedentary and insufficiently active. The purpose of this study is to identify the major barriers that prevent pwMS from exercising and underline the importance of the general practitioner (GP) in promoting an active lifestyle. Materials and methods: We performed a multicenter cross-sectional study using a self-administered questionnaire among pwMS. Data about demographics, the disease, current exercise practice, barriers, previous GP's advice to practice, and motivation were collected. Results: A total of 741 pwMS (age 55.6 ± 12.5 years, 66% females) completed the survey. Most responders (75.3%) did not practice any exercise. Fatigue was the most limiting factor to attending and/or starting an exercise program, followed by travel and/or moving issues, and the lack of time. Only 25.5% of participants received GP's advice to practice exercise, but 48.6% of them attended an exercise program. A greater likelihood of practice was evidenced for people that received the GP's advice than those who had not received it (OR 2.96; p < 0.001). Finally, among those who did not practice exercise but received advice from GPs, 69 out of 99 (69.7%) were motivated to start an exercise program. Conclusion: Fatigue and physical issues are the main barriers to exercise for pwMS, but also other factors not related to the disease seem to be relevant, like travel issues and lack of time. Although few participants received advice to exercise from their general practitioner, his role proved effective in encouraging the practice.

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

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.

Impact of the COVID-19 Pandemic on Physical Activity and Associated Technology Use in Persons With Multiple Sclerosis: An International RIMS-SIG Mobility Survey Study.

OBJECTIVE: To investigate the impact of the COVID-19 pandemic on physical activity in persons with multiple sclerosis (PwMS). DESIGN: Multicenter international online survey study. SETTING: The survey was conducted within 11 participating countries. Each country launched the survey using online platforms from May to July 2021. PARTICIPANTS: This was an electronic survey study targeting PwMS (N=3725). INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: The survey ascertained physical activity performance and its intensity, the nature of the activities conducted, and the use of technology to support home-based physical activity before and during the pandemic. RESULTS: A total of 3725 respondents completed the survey. Prepandemic, the majority (83%) of respondents reported being physically active, and this decreased to 75% during the pandemic. This change was significant for moderate- and high-intensity activity (P<.0001). Activities carried out in physiotherapy centers, gyms, or pools decreased the most. Walking was the most frequently performed activity prepandemic (27%) and increased during the pandemic (33%). A total of 24% of those inactive during the pandemic had no intention of changing their physical activity behavior post pandemic. A total of 58% of the respondents did not use technology to support physical activity during the pandemic. Of those who did use technology, wearables were most used (24%). Of those currently nonactive (25%) expressed a preference for an in-person format to conduct physical activity post pandemic. CONCLUSIONS: Physical activity performance, especially activities at moderate and high intensities, decreased during the pandemic in PwMS compared with prepandemic. Walking and using wearables gained popularity as ways to stay active. As we move toward an endemic COVID-19, a call for action to develop interventions focused on walking programs with specific emphasis on increasing physical activity of PwMS is proposed.

The impact of the COVID-19 pandemic on physical therapy practice for people with multiple sclerosis: A multicenter survey study of the RIMS network.

BACKGROUND: The impact of the COVID-19 pandemic on physical therapy services for people with multiple sclerosis (pwMS) is unknown. Therefore, the Special Interest Group for Mobility (SIG Mobility) of the European Network for Best Practice and Research in Multiple Sclerosis Rehabilitation (RIMS) has undertaken the initiative to examine the impact of the COVID-19 outbreak on physical therapy services and physical activity participation in pwMS across Europe, Israel and Australia. OBJECTIVE: To describe the impact of the COVID-19 outbreak on physical therapy practice from the perspective of the therapist. METHODS: An online survey was developed and conducted from December 2020 to July 2021. The survey (50 questions), included multiple-choice questions and open-ended responses. RESULTS: In total, 215 physical therapists (PT's) from 9 countries (Australia, Belgium, the Czech Republic, Ireland, Israel, Italy, Norway, Spain, and Turkey) participated in the study. The therapy most affected during the pandemic was aerobic training/conditioning exercises; 33.5% reported that these activities were either reduced or unavailable. In contrast, 15% of the PTs reported increased use of relaxation/mind body techniques and/or fatigue management programs during the pandemic. PTs reported a mixture of positive and negative feelings about the therapeutic sessions offered during the pandemic. Most reported positive feelings included "positive" (26.5%), and "optimistic" (24.7%). Negative feelings most frequently reported included "worried" (30.7%), and "hesitant" (20.9%). The PTs reported a 10% decrease in the use of hands-on techniques and a 10% increase in the use of oral instructions when treating moderately and severely pwMS during as compared to before the pandemic. CONCLUSION: The COVID-19 pandemic has affected physical therapy services in pwMS internationally in terms of content, frequency of use and format.

Mind wandering in people with Multiple Sclerosis: A psychometric study.

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 α 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 α = 0.84; MW-D: Cronbach's α = 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.

Focus on neglected features of cognitive rehabilitation in MS: Setting and mode of the treatment.

Cognitive rehabilitation in multiple sclerosis (MS) aims at reducing patients' cognitive impairments, improving their awareness and ability to take cognitive difficulties into account in their daily living. However, at this moment, more high-quality randomized trials are needed to draw conclusion about the effectiveness of cognitive interventions in MS. Although existing studies provide clear descriptions of intervention key ingredients (e.g. targeted cognitive domain as well as treatment frequency and duration) and the practical details needed to manage these key elements (e.g. restorative approaches, compensatory strategies, or environmental modifications), other crucial aspects received less attention in rehabilitation research. The aim of this topical review is to try to elucidate some critical issues that were only partly addressed and analyzed by the scientific literature: setting (center-based vs home-based) and mode (individual vs group) of the cognitive rehabilitation treatment.

Additive and interaction effects of working memory and motor sequence training on brain functional connectivity.

Although shared behavioral and neural mechanisms between working memory (WM) and motor sequence learning (MSL) have been suggested, the additive and interactive effects of training have not been studied. This study aimed at investigating changes in brain functional connectivity (FC) induced by sequential (WM + MSL and MSL + WM) and combined (WM × MSL) training programs. 54 healthy subjects (27 women; mean age: 30.2 ± 8.6 years) allocated to three training groups underwent twenty-four 40-min training sessions over 6 weeks and four cognitive assessments including functional MRI. A double-baseline approach was applied to account for practice effects. Test performances were compared using linear mixed-effects models and t-tests. Resting state fMRI data were analysed using FSL. Processing speed, verbal WM and manual dexterity increased following training in all groups. MSL + WM training led to additive effects in processing speed and verbal WM. Increased FC was found after training in a network including the right angular gyrus, left superior temporal sulcus, right superior parietal gyrus, bilateral middle temporal gyri and left precentral gyrus. No difference in FC was found between double baselines. Results indicate distinct patterns of resting state FC modulation related to sequential and combined WM and MSL training suggesting a relevance of the order of training performance. These observations could provide new insight for the planning of effective training/rehabilitation.