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Clinicians require quantitative measures of functional movement to inform care decisions for persons with Parkinson’s disease (PWPs). To address this need, we developed the Parkinson’s Disease—Functional Movement Battery (PD-FUNC), which includes valid items from existing assessments and evaluates five key areas from the MDS-UPDRS-III: manual dexterity, functional strength, locomotion, static balance, and activities of daily living. This study assessed the PD-FUNC’s ability to distinguish between PWPs and healthy controls based on effect sizes and analyzed differences according to disease progression using years since diagnosis and MDS-UPDRS-III scores, as well as Hoehn & Yahr (H&Y) stages. The test was administered to 81 PD patients (H&Y stages 1–3) and 81 age-matched controls. All items, except grip force, discriminated effectively, with dexterity tasks showing the highest sensitivity (effect size r = 0.52–0.63). The PD-FUNC distinguished PD stages well, revealing early symptoms through dexterity tests (p = 0.001) and late-stage symptoms via dynamic stability tests. The PD-FUNC could provide a comprehensive assessment within 30–40 min and could be used to evaluate disease progression and medication effectiveness at home and in clinical settings.

Different levels of sleep restriction affect human performance in multiple aspects. However, it is unclear how sleep deprivation affects gait control. We applied a paced gait paradigm that included subliminal rhythm changes to analyze the effects of different sleep restriction levels (acute, chronic and control) on performance. Acute sleep deprivation (one night) group exhibited impaired performance in the sensorimotor synchronization gait protocol, such as a decrease in the Period Error between the footfalls and the auditory stimulus as well as missing more frequently the auditory cues. The group with chronic sleep restriction also underperformed when compared to the control group with a tendency to a late footfall with respect to the RAC sound. Our results suggest that partial or total sleep deprivation leads to a decrease in the performance in the sensorimotor control of gait. The superior performance of the chronic sleep group when compared to the acute group suggests that there is a compensatory mechanism that helps to improve motor performance.

Generalized Joint hypermobility (GJH) is predominantly non-symptomatic. In fact, individuals with joint flexibility usually perform better than their non-hypermobile counterparts during physical activities. Notwithstanding, strength and balance are essential to maintain the control of the extra range of motion during activities and to prevent musculoskeletal complications. There are limited and conflicting pieces of evidence in literature regarding the association between strength and balance in children with GJH. The purpose of this study was to examine differences in functional strength, dynamic balance, proprioception, and isometric strength in children with and without joint hypermobility and determine the association between strength outcomes and dynamic balance. A cross-sectional study was conducted among children aged 6 to 11. Hypermobility was determined using the Beighton Score, with scores ≥6 representing hypermobility. Functional strength was assessed with the Functional Strength Measure (FSM), isometric strength was determined with a handheld dynamometer (HHD), the Y-Balance Test (YBT) was used to assess dynamic balance and the Wedges test to measure proprioception. This study included 588 participants (age: 7.97 ± 1.3 years; height: 128±10.1 cm; mass: 27.18 ± 7.98 kg). 402 children were classified as having normal mobility and 186 as being hypermobile. Hypermobile children had better functional strength in the lower extremities than children with normal range mobility but lower reach distance in the YBT. No differences in proprioception, functional strength of the upper extremity or isometric strength in the hands were found. However, isometric lower extremity force was less in hypermobile children than children with normal range mobility. Irrespective of their joint mobility, a fair significant correlation existed between total Y-balance distance and FSM items r = 0.16-0.37, p = 0.01. Correlations between total Y-balance distance and isometric strength of knee and ankle muscles ranged between r = 0.26-0.42, p = 0.001. Hypermobile joints seem to co-occur with lower extremity isometric strength, more functional strength in the lower extremities and less reaching distance in dynamic balance. The opposing direction of the results on functional and isometric strength tests highlights the importance of the type of outcome measures used to describe the association of strength and the range of motion.

Background Joint hypermobility provides flexibility and is known to enhance motor performance but can also give rise to musculoskeletal complaints. There is evidence that young people are more flexible than older individuals, and females are more flexible than males. However, information about age- and sex-related changes in the range of motion (ROM) over time is scarce. Method This study followed 126 children over two years; their ROM was measured three times with one year between measurements. The Beighton scoring system and goniometry were used to classify the children into normal mobile, mobile and hypermobile groups. The study included 56 males and 70 females. Mean age was 7.58 (6-9years), 8.58 (7-10years), and 9.60 (8-11years) years at time points 1, 2, and 3, respectively. Results Joint hypermobility based on a Beighton score of 7–9 decreased from 25 to 13% to 6% in the last year. This was caused by a reduction of elbow and knee movement range but not by changes in finger joints or hamstring length. The pattern of decrease was very similar for boys and girls. Four children with hypermobility showed a large increase in ROM (> 10 degrees), of which 2 showed an increase in ROM at the elbow. Of the 53 children classified with normal mobility at measurement one 15 (28.3%) had one hypermobile joint (localized joint hypermobility). Conclusion Children between 6 and 11 years of age get less flexible over 2 years. Mobility changes with age are comparable in boys and girls. Children who are not classified as generalized hypermobile can still have localized hypermobility. An increase in joint mobility is exceptional and may be a warning sign.

Recently, real time imaging of the cortical control of gait became possible with functional near-infrared spectroscopy (fNIRS). So far, little is known about the activations of various cortical areas in more complex forms of gait, such as precision stepping. From previous work on animals and humans one would expect precision stepping to elicit extra activity in the sensorimotor cortices (S1/M1), supplementary motor area (SMA), as well as in prefrontal cortices (PFC). In the current study, hemodynamic changes in the PFC, SMA, M1, and S1 were measured with fNIRS. In contrast to previous fNIRS gait studies, the technique was optimized by the use of reference channels (to correct for superficial hemodynamic interference). Eleven subjects randomly performed ten trials of treadmill walking at 3km/h (normal walking) and ten trials of 3km/h treadmill walking on predefined spots for the left and right foot presented on the treadmill (precision stepping). The walking trials of approximately 35seconds were alternated with rest periods of 25–35seconds consisting of quiet standing. The PFC revealed profound activation just prior to the onset of both walking tasks. There was also extra activation of the PFC during the first half of the task period for precision stepping. The SMA showed mainly increased activation prior to the start of both tasks. In contrast, the sensorimotor cortex did not show a change in activation during either task as compared to a condition of standing. The SMA, M1, and S1 revealed no significant differences between normal walking and precision stepping. It was concluded that fNIRS is suited to record the planning and initiation of gait. The lack of M1/S1 activation during gait suggests that even in the current precision stepping task the control of ongoing gait depended mostly on subcortical automatisms, while motor cortex contributions did not differ between standing and walking. •Cortical control of gait and precision stepping was studied using fNIRS.•The walking trials were alternated with rest periods of standing.•The sensorimotor cortex revealed comparable activation for rest and task periods.•SMA activity was seen prior to both normal walking and precision stepping.•Precision stepping showed more prefrontal activation compared to normal walking.

Background Generalized Joint Hypermobility (GJH) offers flexibility that could enhance motor activities. However, if it leads to injury and pain, it increases functional difficulties and activity limitations. The far-reaching consequences of activity limitations and restricted participation include poor physical fitness and diminished quality of life. This study investigated whether variations in joint mobility are associated with physical activity levels, physical fitness, and overall quality of life (QoL) among children and whether these factors change over a 2-year period. Method One hundred and sixty-five school-aged children were recruited at the beginning of a two-year longitudinal study. One hundred and eleven children were measured three times at one-year intervals. Joint mobility was classified as normal mobile, mobile, or hypermobile. The children were administered the FACES pain scale, the child activity limitation interview, a physical activity questionnaire, and the pediatric quality of life inventory questionnaire. Additionally, the 20-meter shuttle run was used to estimate aerobic fitness. Results In this study, pain was unrelated to joint mobility. The activity limitations of our study population were not different at baseline or at the end of the study, irrespective of joint mobility. Children with GJH had significantly lower physical activity levels at the end of the study. Overall, QoL increased over time, and aerobic capacity decreased. However, changes in children with GJH were not significantly different from those in children with normal mobility in this respect. Conclusion Children with GJH were moderately active, however significantly less than children with normal mobility. Joint mobility had no significant effect on activity limitations, physical fitness or QoL. Significance What is known? • Increased joint mobility reduces physical activity levels. What is new? • Children with GJH were not more limited in their activities than those with normal mobility, as measured by the activity limitation interview. • Children with GJH do not have a greater risk of developing pain-related activity limitations. • The quality of life did not differ between children with and without GJH.

Locomotor malfunction represents a major problem in some neurological disorders like stroke and spinal cord injury. Robot-assisted walking devices have been used during rehabilitation of patients with these ailments for regaining and improving walking ability. Previous studies showed the advantage of brain-computer interface (BCI) based robot-assisted training combined with physical therapy in the rehabilitation of the upper limb after stroke. Therefore, stroke patients with walking disorders might also benefit from using BCI robot-assisted training protocols. In order to develop such BCI, it is necessary to evaluate the feasibility to decode walking intention from cortical patterns during robot-assisted gait training. Spectral patterns in the electroencephalogram (EEG) related to robot-assisted active and passive walking were investigated in 10 healthy volunteers (mean age 32.3±10.8, six female) and in three acute stroke patients (all male, mean age 46.7±16.9, Berg Balance Scale 20±12.8). A logistic regression classifier was used to distinguish walking from baseline in these spectral EEG patterns. Mean classification accuracies of 94.0±5.4% and 93.1±7.9%, respectively, were reached when active and passive walking were compared against baseline. The classification performance between passive and active walking was 83.4±7.4%. A classification accuracy of 89.9±5.7% was achieved in the stroke patients when comparing walking and baseline. Furthermore, in the healthy volunteers modulation of low gamma activity in central midline areas was found to be associated with the gait cycle phases, but not in the stroke patients. Our results demonstrate the feasibility of BCI-based robotic-assisted training devices for gait rehabilitation.

PurposeHuman sensory and motor systems deteriorate with age. When walking, older adults may therefore find it more difficult to adjust their steps to new visual information, especially considering that such adjustments require control of balance as well as of foot trajectory. Our study investigates the effects of ageing on lower limb responses to unpredictable target shifts.MethodsParticipants walked on a treadmill with projected stepping targets that occasionally shifted in the medial or lateral direction. The shifts occurred at a random moment during the early half of the swing phase of either leg. Kinematic, kinetic and muscle activity data were collected.ResultsOlder adults responded later and corrected for a smaller proportion of the shift than young adults. The order in which muscle activation changed was similar in both groups, with responses of gluteus medius and semitendinosus from about 120 to 140 ms after the shift. Most muscles responded slightly later to lateral target shifts in the older adults than in the young adults, but this difference was not observed for medial target shifts. Ageing delayed the behavioural responses more than it did the electromyographic (EMG) responses.ConclusionsOur study suggests that older adults can adjust their walking to small target shifts during the swing phase, but not as well as young adults. Furthermore, muscle strength probably plays a substantial role in the changes in online adjustments during ageing.

Following unpredictable large-magnitude stance perturbations diverse patterns of arm and leg movements are performed to recover balance stability. Stability of these compensatory movements could be properly estimated through qualitative evaluation. In the present study, we present a scale for evaluation of compensatory arm and leg movements (CALM) in response to unpredictable displacements of the support base in the mediolateral direction. We tested the CALM scale for intra- and inter-rater reliability, correlation with kinematics of arm and leg movement amplitudes, and sensitivity to mode (rotation, translation and combined) and magnitude (velocity) of support base displacements, and also to perturbation-based balance training. Results showed significant intra- and inter-rater coefficients of agreement, ranging from moderate (0.46-0.53) for inter-rater reliability in the arm and global scores, to very high (0.87-0.99) for inter-rater leg scores and all intra-rater scores. Analysis showed significant correlation values between scale scores and the respective movement amplitudes both for arm and leg movements. Assessment of sensitivity revealed that the scale discriminated the responses between perturbation modes, platform velocities, in addition to higher balance recovery stability as a result of perturbation-based balance training. As a conclusion, the CALM scale was shown to provide adequate integrative evaluation of compensatory arm and leg movements for balance recovery stability after challenging stance perturbations, with potential application in fall risk prediction.

Although the value of patient and public involvement and engagement (PPIE) activities in the development of new interventions and tools is well known, little guidance exists on how to perform these activities in a meaningful way. This is particularly true within large research consortia that target multiple objectives, include multiple patient groups, and work across many countries. Without clear guidance, there is a risk that PPIE may not capture patient opinions and needs correctly, thereby reducing the usefulness and effectiveness of new tools. Mobilise-D is an example of a large research consortium that aims to develop new digital outcome measures for real-world walking in 4 patient cohorts. Mobility is an important indicator of physical health. As such, there is potential clinical value in being able to accurately measure a person’s mobility in their daily life environment to help researchers and clinicians better track changes and patterns in a person’s daily life and activities. To achieve this, there is a need to create new ways of measuring walking. Recent advancements in digital technology help researchers meet this need. However, before any new measure can be used, researchers, health care professionals, and regulators need to know that the digital method is accurate and both accepted by and produces meaningful outcomes for patients and clinicians. Therefore, this paper outlines how PPIE structures were developed in the Mobilise-D consortium, providing details about the steps taken to implement PPIE, the experiences PPIE contributors had within this process, the lessons learned from the experiences, and recommendations for others who may want to do similar work in the future. The work outlined in this paper provided the Mobilise-D consortium with a foundation from which future PPIE tasks can be created and managed with clearly defined collaboration between researchers and patient representatives across Europe. This paper provides guidance on the work required to set up PPIE structures within a large consortium to promote and support the creation of meaningful and efficient PPIE related to the development of digital mobility outcomes.