Faculty Bibliography

BACKGROUND:In recent times, increasing safety concerns have been associated with the use of mobile phones by pedestrians. In particular, texting has been shown to significantly alter gait patterns. However, no specific investigations have been performed on people with Multiple Sclerosis (pwMS), who are already characterized by gait dysfunctions caused by the disease. OBJECTIVE:To assess the existence of possible alterations in spatio-temporal parameters of gait in pwMS when simultaneously texting on a smartphone and walking. METHODS:Fifty-four pwMS (mean age 40.5 ± 10.5) and 40 age-matched unaffected individuals were tested in two conditions: walking, and walking while texting on a smartphone. Spatio-temporal parameters of gait were assessed using a wearable accelerometer located on the lower back. RESULTS:Texting induces reduction of gait speed, stride length and cadence in both groups, but such changes were smaller in magnitude in pwMS. An increase of stance and double support and reduction of swing phase were observed in pwMS only. CONCLUSIONS:Texting alters gait patterns of pwMS differently from unaffected individuals, probably due to a different prioritization of the task, which appears to take into account the motor and sensory impairments associated with the disease by favoring the motor task.

BACKGROUND:Although physical activity (PA) is known to be beneficial in improving motor symptoms of people with Parkinson's disease (pwPD), little is known about the relationship between gait patterns and features of PA performed during daily life. OBJECTIVE:To verify the existence of possible relationships between spatiotemporal and kinematic parameters of gait and amount/intensity of PA, both instrumentally assessed. METHODS:Eighteen individuals affected by PD (10F and 8M, age 68.0 ± 10.8 years, 1.5 ≤ Hoehn and Yahr (H&Y) < 3) were required to wear a triaxial accelerometer 24 h/day for 3 consecutive months. They also underwent a 3D computerized gait analysis at the beginning and end of the PA assessment period. The number of daily steps and PA intensity were calculated on the whole day, and the period from 6:00 to 24:00 was grouped into 3 time slots, using 3 different cut-point sets previously validated in the case of both pwPD and healthy older adults. 3D gait analysis provided spatiotemporal and kinematic parameters of gait, including summary indexes of quality (Gait Profile Score (GPS) and Gait Variable Score (GVS)). RESULTS:< 0.05). CONCLUSIONS:Long-term monitoring of PA integrated by the quantitative assessment of spatiotemporal and kinematic parameters of gait may represent a useful tool in supporting a better-targeted prescription of PA and rehabilitative treatments in pwPD.

BACKGROUND:Multiple Sclerosis (MS) affects men and women differently from several points of view: prevalence, severity of cognitive impairments and disability accumulation. However, it is unknown whether ambulatory dysfunctions are sex-related. This study investigated the existence of differences in spatio-temporal and kinematic parameters of gait in men and women with MS using 3D gait analysis. METHODS:Gait patterns of 60 people with MS (pwMS, 32F, 28M) with low to moderate disability (average Expanded Disability Status Scale score 3, range 1-5.5) who underwent a gait analysis in the period 2014-2017 were retrospectively analyzed to calculate spatio-temporal parameters of gait and kinematics in the sagittal plane at hip, knee and ankle joints. RESULTS:Significant differences between the groups were found in kinematics of gait. In particular, men exhibited reduced ankle plantar-flexion, increased knee flexion and hip flexion. In contrast, no differences were found in spatio-temporal parameters normalized by considering individuals' anthropometry. CONCLUSIONS:The findings of the present study highlight the need to investigate gait dysfunctions in pwMS taking sex into consideration. Such an approach might be useful not only in better understanding the pathophysiology of gait disturbances originated by MS, but also in supporting a better orientation of rehabilitative treatments.

Motor and cognitive disabilities are related to brain atrophy in multiple sclerosis (MS). 'Timed up and go' (TUG) has been recently tested in MS as functional mobility test, as it is able to evaluate ambulation/coordination-related tasks, as well as cognitive function related to mobility. The objective of this study is to evaluate the relationship between brain volumes and TUG performances. Inclusion criteria were a diagnosis of MS and the ability to walk at least 20 m. TUG was performed using a wearable inertial sensor. Times and velocities of TUG sub-phases were calculated by processing trunk acceleration data. Patients underwent to a brain MRI, and volumes of whole brain, white matter (WM), grey matter (GM), and cortical GM (C) were estimated with SIENAX. Sixty patients were enrolled. Mean age was 41.5 ± 11.6 years and mean EDSS 2.3 ± 1.2. Total TUG duration was correlated to lower WM (ρ = 0.358, p = 0.005) and GM (ρ = 0.309, p = 0.017) volumes. A stronger association with lower GM volume was observed for intermediate (ρ = 0.427, p = 0.001) and final turning (ρ = 0.390, p = 0.002). TUG is a useful tool in a clinical setting as it can not only evaluate patients' disability in terms of impaired functional mobility, but also estimate pathological features, such as grey atrophy.

In people with Multiple Sclerosis (pwMS) with little or no signs of disability, early detection of walking impairments represents a challenging issue, as simple gait metrics (e.g. speed, cadence, stride length, etc.) may not significantly differ from those of healthy individuals. In this study, we aimed to assess the existence of possible differences in spatial-temporal parameters and smoothness of gait measures (assessed through Harmonic Ratio, HR) obtained from trunk accelerations between 50pwMS without disability (Expanded Disability Status Scale score =1) and 50 age-matched healthy controls. The results show no differences in terms of gait velocity, stride length, stance/swing and double support phases duration, while HR in the direction of motion was significantly lower in pwMS (2.92 vs. 3.67, p<0.001), thus indicating a less smooth gait. The study of trunk accelerations through calculation of HR represents a fast, non-intrusive technique that allows early identification of anomalies in gait patterns of pwMS in absence of disability.

BACKGROUND:In people with Multiple Sclerosis (pwMS), balance assessment is essential in estimating the risk of falls, monitoring disease progression and verifying the effectiveness of rehabilitative treatment. Clinical tools and instrumental techniques are available for testing static and dynamic balance, but the relationship between such abilities is still not clear. Having information about this link would be important in properly planning the type and number of tests to administer. METHODS:One hundred and six pwMS (Expanded Disability Status Scale, EDSS 0-6.5) stratified in three sub-groups (Class 1 EDSS 0-1.5, Class 2 EDSS 2-4 and Class 3 EDSS 4.5-6.5) and 42 healthy controls (HC) participated in the study. All underwent static posturography and instrumented Timed-Up-and-Go (TUG) performed using a wearable inertial sensor. Raw data were processed to extract postural sway features, overall duration of TUG and its main sub-phases (i.e. sit-to-stand, 180° turns and stand-to-sit). RESULTS:All sway parameters of pwMS of Classes 2 and 3, as well as total TUG duration and time necessary to perform 180° turns, were found significantly higher than HC and Class 1 participants. However, poor correlations were found between sway and TUG parameters. When pwMS are grouped, small/moderate correlations (in the range 0.20-0.41) were found between all sway parameters and total TUG duration. CONCLUSIONS:Static and dynamic balance in pwMS appear scarcely correlated, although both worsen as disability increases. This implies that they should be separately assessed using specific tests to have a complete view of postural control performance in MS.