Research Project Doctoral Candidate 03
Can the structure of behavioural and physiological variability predict the training outcomes? – multidimensional assessment and intervention in older adults
Fellow
Host Institution
Aix-Marseille University, Institute of Movement Science
Supervisors
Prof. Dr. Jean-Jacques Temprado
Project description
Rooted in the Dynamic Systems Approach, this project views aging as an emergent, system-wide process characterized by structural and functional changes, moderated by both external and internal factors. By prioritizing system-level markers (e.g., motor variability, physiological signal fluctuations), we aim to decode the aging system’s adaptive capacity and functional state, and provide best practice guidelines for interpreting variability in geriatric assessment and training, thereby bridging research and clinical practice.
Specifically, the project aims to:
1. Determine the most adequate and clinically relevant methods for quantifying neuro-behavioural variability
2. Characterize optimal and impaired ageing by comparing subgroups with different functional states (Young, Master Athletes, Older Adults, Sedentary Older Adults, Older adults with cognitive impairment)
3. Link age-related changes in variability to the performance in routinely used functional tests (e.g., handgrip strength, walking speed, cognitive tests), and to behavioural adaptation capacities to task constraints.
4. Examine the role of behavioural variability in predicting the outcomes of training intervention.
To achieve these goals, force control tasks will be used as a functionally and clinically relevant model system for geriatric assessment and intervention. Data acquisition will include behavioural (kinetic and kinematic) and neurophysiological (EMG) measures, with data analysis including nonlinear methods (e.g., entropy, self-similarity, regularity metrics). Beyond contributing to scientific literature, this project will deliver a methodological handbook for interpreting variability metrics in research and clinical contexts, as well as an open-access toolbox that simplifies data analysis for scientists and clinicians.
(Planned Secondments)
Stade Marseillais Université Club
University of Münster