prof. dr. C.J.C. Lamoth
In the growing elderly population, issues as mobility, detection, of decline, activation,motor learning, adaptation and enhancing participation of people are central themes. Enhancing knowledge about the effect of age related changes in perceptual-motor system on gait patterns and postural control is closely related to these topics and that of the central theme of the UMCG of Healthy Ageing. My research has a translational character which emphasis the integration of both fundamental and applied knowledge, that is clinical implications of scientific insights are sought and clinical practice guides more fundamental research.
CENTRAL RESEARCH THEMES
The fundamental understanding of mechanisms underlying motor learning, ageing and movement disorders affecting the perceptual-motor system using concepts and tools from dynamical systems theory /clinical coordination dynamics. This theoretical approach explicates variability as an inherent property of human movement and, in doing so, it provides an expedient window into the coordination of system components as well as its stable and adaptive features. I have appropriated methods and (multivariate) analysis for quantifying stability and variability for advancing clinical analysis of postural and gait control. The quest for factors like coordination, cognition, and energy cost, and their interaction in optimizing and adapting perceptual-motor control with an emphasize on postural and gait control.
Combining fundamental knowledge of motor control with modern-days sensor technologies and innovative data analysis in order to develop solutions for supporting motor learning, independent mobility, preventing falls, and improving health. I have established collaborations with various research teams (in rehabilitation, neurology, geriatrics, biomedical engineering), institutions (hospitals, nursing homes) and technology companies which led to various (on-going) research projects, e.g., to develop objective instruments for monitoring mobility, diagnosis and the evaluation and development of interventions.
The growing aging population is of great concern for today’s society. Ageing yields an undeniable decline of gait and postural control as a consequence of age-related deterioration of sensory and neuromuscular control mechanisms. Also in many age-related pathologies mobility decline is central (e.g. Stroke, after hip fracture, Parkinson's disease, frailty). Decline in a person’s walking and balance abilities impacts quality of life greatly and can lead to a self-reinforcing downwards spiral of reduced physical activity with serious consequences for mobility, fall risk, quality of life, health care use and mortality. There is an urgent need for early diagnosis and treatment of mobility, gait and balance ability for the purpose of improving function to prevent decline in mobility and reduce fall risk. My research contributes to society through the development of smart innovative devices for diagnosis and mobility improving interventions.
Current ongoing projects:
PhD: Tom Buurke 01-09-2016 / 01-09-2019. Learning to master the steps: How does gait change over different time scales and at what cost?
Dr. Claudine Lamoth, Prof Luc van de Woude, Dr. Rob den Otter
The natural ability to adapt to constantly changing task demands is a key issue in human movement sciences. Motor adaptability enables walkers to deal with temporary changes in task, as well as with more structural changes that may result in locomotor adaptations and relearning. A good understanding of locomotor learning may provide us with information for clinical training strategies and rehabilitation programs. More specifically, research should make clear (i) how adaptive locomotor control unfolds over time, (ii) what factors determine the speed and quality of locomotor adaptation, and (iii) how changes in the spatiotemporal and kinematic parameters involved in locomotor adaptation are related to metabolic costs.
In the present program, we will study gait adaptation of healthy subjects, and simultaneously assess the biomechanical, coordinative, and metabolic aspects of locomotor learning on a split-belt treadmill. By studying adaptations in healthy humans we gain knowledge of the processes underlying and controlling (loco-)motor (re-)learning. The findings of this project will inspire further research on gait rehabilitation in elderly or patient groups.
PhD Danique Vervoort. 01-09-2016 /. Changes in adaptation of gait and balance performance over the adult life span.
Dr. Claudine Lamoth, Prof. Tibor Hortobagyi, Dr Nicolas Vuillerme, Dr. Rob den Otter
Much is already known about the effects of age and cognition on walking and balance performance. However, most research focused on the differences between young and older adults. Little is known about the changes in walking and balance performance over the lifespan and the effects of cognition on these changes. Therefore, the aim of this proposed MSc-PhD project is to gain knowledge about how gait and balance change over the adult life span with an emphasis on gait variability and adaptation, as measures of gait variability and adaptability might detect impairments at an earlier stage. Gait and balance will be quantified using the instrumented Timed-Up-and-Go (iTUG) and split-belt walking under different conditions. The project will consist of five studies with each having its own objectives. The first objective is to develop a model using gait and balance parameters of the iTUG that is able to discriminate subgroups of adults (e.g. young adults, healthy elderly, frail, cognitive intact and cognitive impaired). The next studies focus on getting insights into the effects of the natural aging process over the lifespan on gait and balance performance, with an emphasize on gait adaptation during split-belt walking.
PHD Paulo dos Santos (Brasil ~CAPES & RUG/UMCG): 01-09-2017 Effects of age and fatigue on gait.
Prof. Tibor Hortobagyi, Dr Claudine Lamoth, Dr Inge Zijdewind, Dr Fabio Barbieri
Older individuals are more susceptible to the fatigue condition. Fatigue has been known to perturb the system and gait’s adjustments are necessary to lead with it. The underlying mechanisms of such adjustments are not completely known. The purpose is to determine the effects of age, muscle fatigue, and cognitive fatigue on stability and variability of gait, and muscle activation patterns measured during walking. 24 older and 24 young individuals will be distributed into 2 groups: fatigue and control. For fatigue, two different fatigue conditions will be randomly assigned: Day 1 (muscle fatigue condition – sit-to-stand test) and, 5-7 days later, Day 2 (3 computational cognitive tests for 10 minutes each - Psychomotor Vigilance Test, Stroop test and AX – Continuous performance test). Controls will be seated reading for 30 minutes in each day. Before and after the fatigue or control condition protocols, participants will walk for 2 x 3 minutes (fixed speed and 20-30% higher than comfortable speed) on a treadmill instrumented with force platforms. Gait stability, variability, extrapolated center of mass and muscle activation will be analyzed during the walk. The maximal voluntary knee extensor with superimposed twitch interpolation will be evaluated before and after fatigue.
PHD Yuhan Zhou (ITN Keep Control) 01-11-2018. Machine learning methods to characterize gait in different patient populations. Harmonisation of Keep Control assessment protocols, the inclusion of the ICF model as a framework.
Dr. Claudine Lamoth, Prof. Tibor Hortobagyi
This project is dedicated to harmonizing data collection across the entire Keep Control network. It will be specifically responsible for the implementation of the domains described by the ICF model. Consideration of the ICF model guarantees that all five domains involved in health and disability, i.e. body functions and structures, activities (of daily living participation (in societal roles), personal features and environmental factors are sufficiently considered in the respective projects. Another objective will be the aggregation and analysis of the interactions between multiple data streams and information about a participant’s objective and subjective measures across the different ICF domains. Then, this project will use machine learning aproaches on data obtained at different research sites to characterize gait and balance impairment in different populations. Overall aim is to support clinical decision making using these Data Science methods.
PHD Iris Hagoort 01-10-2018. (Collaboration University Grenobles Alpes) Underlying mechanisms of age related changes in gait dynamics and the role of walking in different environments.
Dr. Claudine Lamoth, Dr Nicolas Vuillerme, Prof. Tibor Hortobagyi
Walking is a fundamental motor act and an important form of daily physical activity. Human walking is a dynamically stable, highly flexible and adaptive activity that is continuously altered to behavioral goals and prevailing circumstances. To date it is well recognized that flexibility and adaptability of walking resides in the fact that human motor behavior is intrinsically variable, and that in-depth analysis of this variability might provide insight into underlying control structures. To quantify this variability of movement, dynamic measures derived from dynamical systems theory appear rather suitable to address behavioral issues that may be summarized as movement flexibility and adaptability. However, the underlying mechanisms of changes in (one of) these dynamic parameters is not yet known
|Laatst gewijzigd:||13 juli 2019 16:48|