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Biomechanics And Motor Control Of Human Movement

https://www.archives-pmr.org/article/S0003-9993(13)00361-4/pdf

Effects of Exercise Training on Fitness, Mobility, Fatigue, and Health-Related Quality of Life Among Adults With Multiple Sclerosis: A Systematic Review to Inform Guideline Development

Multiple sclerosis (MS) is an immune-mediated disease characterized by inflammatory demyelination and neurodegeneration within the CNS. This damage of CNS structures leads to deficits of body functions, which, in turn, affect patient activities, such as walking, and participation. The pathogenesis and resulting consequences of MS have been described as concepts within the International Classification of Functioning, Disability and Health (ICF) model--an international standard to describe and measure health and disability. Evidence suggests that exercise training in people with MS has the potential to target and improve many of the components outlined in the ICF model. Although the body of research examining the effects of exercise training on depression, cognition and participatory outcomes is not sufficiently developed, some preliminary evidence is promising. Exercise training is proposed to affect inflammation, neurodegeneration, and CNS structures, but current evidence is limited. In this Review, we discuss evidence from clinical trials that suggests beneficial effects of exercise training on muscle strength, aerobic capacity and walking performance, and on fatigue, gait, balance and quality of life. Issues with current studies and areas of future research are highlighted.

The benefits of exercise training in multiple sclerosis

Objective To provide a quantitative synthesis of randomized controlled trials examining the effect of exercise training on symptomatic fatigue in persons with multiple sclerosis (MS). Methods Electronic databases (Web of Science, PubMed, PsycInfo, and Google Scholar) were searched for articles published between 1960 and October 2012 by using the key words "fatigue," OR "tiredness," OR "energy," OR "mood," OR "lassitude," AND "exercise," OR "physical activity," OR "rehabilitation," OR "fitness" WITH "multiple sclerosis." The initial search resulted in 311 articles, of which 74 were reviewed in detail and 17 met the inclusion criteria and provided enough data to compute effect sizes (ESs; Cohen d). The meta-analysis was conducted using a meta-analysis software program, and a random-effects model was used to calculate the overall ES, expressed as Hedge g. Results The weighted mean ES from 17 randomized controlled trials with 568 participants with MS was 0.45 (standard error = 0.12, 95% confidence interval = 0.22-0.68, z = 3.88, p ≤ .001). The weighted mean ES was slightly heterogeneous (Q = 29.9, df = 16, p = .019). Conclusions The cumulative evidence supports that exercise training is associated with a significant small reduction in fatigue among persons with MS.

Effects of exercise training on fatigue in multiple sclerosis: a meta-analysis.

Background
Multiple sclerosis (MS) is an immune-mediated disease of the central nervous system affecting an estimated 1.3 million people worldwide. It is characterised by a variety of disabling symptoms of which excessive fatigue is the most frequent. Fatigue is often reported as the most invalidating symptom in people with MS. Various mechanisms directly and indirectly related to the disease and physical inactivity have been proposed to contribute to the degree of fatigue. Exercise therapy can induce physiological and psychological changes that may counter these mechanisms and reduce fatigue in MS.

Objectives
To determine the effectiveness and safety of exercise therapy compared to a no-exercise control condition or another intervention on fatigue, measured with self-reported questionnaires, of people with MS.

Search methods
We searched the Cochrane Multiple Sclerosis and Rare Diseases of the Central Nervous System Group Trials Specialised Register, which, among other sources, contains trials from: the Cochrane Central Register of Controlled Trials (CENTRAL) (2014, Issue 10), MEDLINE (from 1966 to October 2014), EMBASE (from 1974 to October 2014), CINAHL (from 1981 to October 2014), LILACS (from 1982 to October 2014), PEDro (from 1999 to October 2014), and Clinical trials registries (October 2014). Two review authors independently screened the reference lists of identified trials and related reviews.

Selection criteria
We included randomized controlled trials (RCTs) evaluating the efficacy of exercise therapy compared to no exercise therapy or other interventions for adults with MS that included subjective fatigue as an outcome. In these trials, fatigue should have been measured using questionnaires that primarily assessed fatigue or sub-scales of questionnaires that measured fatigue or sub-scales of questionnaires not primarily designed for the assessment of fatigue but explicitly used as such.

Data collection and analysis
Two review authors independently selected the articles, extracted data, and determined methodological quality of the included trials. Methodological quality was determined by means of the Cochrane 'risk of bias' tool and the PEDro scale. The combined body of evidence was summarised using the GRADE approach. The results were aggregated using meta-analysis for those trials that provided sufficient data to do so.

Main results
Forty-five trials, studying 69 exercise interventions, were eligible for this review, including 2250 people with MS. The prescribed exercise interventions were categorised as endurance training (23 interventions), muscle power training (nine interventions), task-oriented training (five interventions), mixed training (15 interventions), or 'other' (e.g. yoga; 17 interventions). Thirty-six included trials (1603 participants) provided sufficient data on the outcome of fatigue for meta-analysis. In general, exercise interventions were studied in mostly participants with the relapsing-remitting MS phenotype, and with an Expanded Disability Status Scale less than 6.0. Based on 26 trials that used a non-exercise control, we found a significant effect on fatigue in favour of exercise therapy (standardized mean difference (SMD) -0.53, 95% confidence interval (CI) -0.73 to -0.33; P value 58%). The mean methodological quality, as well as the combined body of evidence, was moderate. When considering the different types of exercise therapy, we found a significant effect on fatigue in favour of exercise therapy compared to no exercise for endurance training (SMDfixed effect -0.43, 95% CI -0.69 to -0.17; P value < 0.01), mixed training (SMDrandom effect -0.73, 95% CI -1.23 to -0.23; P value < 0.01), and 'other' training (SMDfixed effect -0.54, 95% CI -0.79 to -0.29; P value < 0.01). Across all studies, one fall was reported. Given the number of MS relapses reported for the exercise condition (N = 25) and non-exercise control condition (N = 26), exercise does not seem to be associated with a significant risk of a MS relapse. However, in general, MS relapses were defined and reported poorly.

Authors' conclusions
Exercise therapy can be prescribed in people with MS without harm. Exercise therapy, and particularly endurance, mixed, or 'other' training, may reduce self reported fatigue. However, there are still some important methodological issues to overcome. Unfortunately, most trials did not explicitly include people who experienced fatigue, did not target the therapy on fatigue specifically, and did not use a validated measure of fatigue as the primary measurement of outcome.

Exercise therapy for fatigue in multiple sclerosis

Objectives – Effects of endurance training in multiple sclerosis (MS) patients complaining of motor fatigue.



Materials and methods –  Thirty MS patients complaining of fatigue with low to moderate disabilities randomly allocated to the intervention (thrice weekly 45-min intervals of endurance exercise) or control treatment (three 45-min episodes of stretching, balance training and coordination), both as ‘add-on’ therapy for 3 weeks during inpatient rehabilitation.



Results –  Maximal walking distance before intervention averaged 1043 ± 568 and 1163 ± 750 m in the two groups. The intervention group increased its maximal walking distance by 650 ± 474 m. The control group extended its walking distance by 96 ± 70 m.



Conclusions –  The present data confirm a strong effect of endurance exercise on maximal walking distance. Remarkably, there were no parallel improvements on the Modified Fatigue Impact Scale, the Beck Depression Inventory and the Hamburg Quality of Life Questionnaire for MS.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1600-0404.2008.01152.x

Endurance exercise improves walking distance in MS patients with fatigue.

Background: Fatigue is a frequent and serious symptom in patients with Multiple Sclerosis (MS). However, to date there are only few methods for the objective assessment of fatigue. The aim of this study was to develop a method for the objective assessment of motor fatigue using kinematic gait analysis based on treadmill walking and an infrared-guided system. Patients and methods: Fourteen patients with clinically definite MS participated in this study. Fatigue was defined according to the Fatigue Scale for Motor and Cognition (FSMC). Patients underwent a physical exertion test involving walking at their pre-determined patient-specific preferred walking speed until they reached complete exhaustion. Gait was recorded using a video camera, a three line-scanning camera system with 11 infrared sensors. Step length, width and height, maximum circumduction with the right and left leg, maximum knee flexion angle of the right and left leg, and trunk sway were measured and compared using paired t-tests (a = 0.005). In addition, variability in these parameters during one-minute intervals was examined. The fatigue index was defined as the number of significant mean and SD changes from the beginning to the end of the exertion test relative to the total number of gait kinematic parameters. Results: Clearly, for some patients the mean gait parameters were more affected than the variability of their movements while other patients had smaller differences in mean gait parameters with greater increases in variability. Finally, for other patients gait changes with physical exertion manifested both in changes in mean gait parameters and in altered variability. The variability and fatigue indices correlated significantly with the motoric but not with the cognitive dimension of the FSMC score (R = -0.602 and R = -0.592, respectively; P < 0.026). Conclusions: Changes in gait patterns following a physical exertion test in patients with MS suffering from motor fatigue can be measured objectively. These changes in gait patterns can be described using the motor fatigue index and represent an objective measure to assess motor fatigue in MS patients. The results of this study have important implications for the assessments and treatment evaluations of fatigue in MS.

/pdf/objective-assessment-of-motor-fatigue-in-multiple-sclerosis-1fl2pbvvu3.pdf

Objective assessment of motor fatigue in multiple sclerosis using kinematic gait analysis: a pilot study

Fatigue is a common and frequently disabling symptom of multiple sclerosis (MS). The aim of this study was to develop the Fatigue index Kliniken Schmieder (FKS) for detecting motor fatigue in patients with MS using kinematic gait analysis. The FKS relies on the chaos theoretical term “attractor”, which, if unchanged, is a necessary and sufficient indicator of a stable dynamical system. We measured the acceleration of the feet at the beginning of and shortly before stopping a treadmill walking task in 20 healthy subjects and 40 patients with multiple sclerosis. The attractor and movement variability were calculated. In the absence of muscular exhaustion a significant difference in the attractor and movement variability between the two time points demonstrates altered motor control indicating fatigue. Subjects were classified using the FKS. All healthy subjects had normal FKS and thus no fatigue. 29 patients with MS were classified into a fatigue group and 11 patients into a non-fatigue group. This classification agreed with the physician’s observation and video analyses in up to 97 % of cases. The FKS did not correlate significantly with the overall and motor dimensions of the fatigue questionnaire scores in patients with MS and motor fatigue. The common concept of fatigue as overall subjective sensation of exhaustion can be affected by conditions including depression, sleep disorder and others. FKS constitutes a robust and objective measure of changes in motor performance. Therefore, the FKS allows correct identification of motor fatigue even in cases where common comorbidities mask motor fatigue.

/pdf/objective-assessment-of-motor-fatigue-in-multiple-sclerosis-eif1noez57.pdf

Objective assessment of motor fatigue in multiple sclerosis : the Fatigue index Kliniken Schmieder (FKS)

In this paper we introduce a new method to expressly use live/corporeal data in quantifying differences of time series data with an underlying limit cycle attractor; and apply it using an example of gait data. Our intention is to identify gait pattern differences between diverse situations and classify them on group and individual subject levels. First we approximated the limit cycle attractors, from which three measures were calculated: dM amounts to the difference between two attractors (a measure for the differences of two movements), dD computes the difference between the two associated deviations of the state vector away from the attractor (a measure for the change in movement variation), and dF, a combination of the previous two, is an index of the change. As an application we quantified these measures for walking on a treadmill under three different conditions: normal walking, dual task walking, and walking with additional weights at the ankle. The new method was able to successfully differentiate between the three walking conditions. Day to day repeatability, studied with repeated trials approximately one week apart, indicated excellent reliability for dM (ICCave . 0.73 with no differences across days; p . 0.05) and good reliability for dD (ICCave = 0.414 to 0.610 with no differences across days; p . 0.05). Based on the ability to detect differences in varying gait conditions and the good repeatability of the measures across days, the new method is recommended as an alternative to expensive and time consuming techniques of gait classification assessment. In particular, the new method is an easy to use diagnostic tool to quantify clinical changes in neurological patients.

/pdf/a-novel-approach-to-quantify-time-series-differences-of-gait-44yt3fkyw0.pdf

A Novel Approach to Quantify Time Series Differences of Gait Data Using Attractor Attributes

Fatigue is often reported in stroke patients. However, it is still unclear if fatigue in stroke patients is more prominent, more frequent or more “typical” than in patients with multiple sclerosis (MS) and if the pathophysiology differs between these two populations. The purpose of this study was to compare motor fatigue and fatigue-induced changes in kinematic gait parameters between stroke patients, MS patients, and healthy persons. Gait parameters at the beginning and end of a treadmill walking test were assessed in 10 stroke patients, 40 MS patients, and 20 healthy subjects.The recently developed Fatigue index Kliniken Schmieder (FKS) based on change of the movement’s attractor and its variability was used to measure motor fatigue. Six stroke patients had a pathological FKS. The FKS (indicating the level of motor fatigue) in stroke patients was similar compared to MS patients. Stroke patients had smaller step length, step height and greater step width, circumduction with the right and left leg, and greater sway compared to the other groups at the beginning and at the end of test. A severe walking impairment in stroke patients does not necessarily cause a pathological FKS indicating motor fatigue. Moreover, the FKS can be used as a measure of motor fatigue in stroke and MS and may also be applicable to other diseases.

/pdf/difference-in-motor-fatigue-between-patients-with-stroke-and-3zhz1szw2a.pdf

Manfred Vieten

Papers

Endurance exercise improves walking distance in MS patients with fatigue.

Objective assessment of motor fatigue in multiple sclerosis using kinematic gait analysis: a pilot study

Objective assessment of motor fatigue in multiple sclerosis : the Fatigue index Kliniken Schmieder (FKS)

A Novel Approach to Quantify Time Series Differences of Gait Data Using Attractor Attributes

Difference in Motor Fatigue between Patients with Stroke and Patients with Multiple Sclerosis: A Pilot Study