Every-day life means being part of a complex environment and performing complex tasks that usually involve a combination of motor and cognitive skills. However, the process of aging or the sequelae of neurological diseases such as Multiple Sclerosis (MS) compromises motor-cognitive interaction necessary for an independent lifestyle. While motor-cognitive performance has been identified as an important goal for sustained health across different clinical populations, little is known about underlying brain function leading to these difficulties and how to best target these motor-cognitive difficulties in the context of rehabilitation and exercise interventions. The challenge of improving treatments of motor-cognitive difficulties (such as dual-tasking and navigation) is daunting, and an important step is arriving at a method that accurately portrays these impairments in an ecological valid state. The investigators aim therefore to explore brain function during complex walking in MS (in comparison with people with Parkinson's disease and healthy controls) by investigating the effects of neurological disease on motor-cognitive performance and its neural correlates during three conditions of complex walking (dual-task walking, navigation and a combination of both) using non-invasive measures of brain activity (functional near infrared spectrometry, fNIRS) and advanced gait analysis in real time in people with MS (in comparison with people with Parkinson's disease and healthy adults).
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Functional near infrared spectrometry (fNIRS)
Timeframe: During the test session during all three conditions
Gait performance during all conditions
Timeframe: During the test session during all three conditions
Dual-task performance-reaction time
Timeframe: During the test session during complex walking condition 1 and 3