Mobile EEG reveals functionally dissociable dynamic processes supporting real-world ambulatory obstacle avoidance:
Magda Mustile1, Dimitrios Kourtis1, Simon Ladouce2
1Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, UK.
The European Journal of Neuroscience
|January 19, 2021
Summary
Researchers used mobile EEG to study real-world walking and obstacle avoidance. They identified brain activity patterns, specifically frontal theta and beta power, linked to proactive and reactive motor control during walking.
Area of Science:
- Neuroscience
- Cognitive Science
- Motor Control
Background:
- Walking is a complex cognitive task requiring real-time planning and control.
- Limited understanding of the neural processes supporting ambulatory motor control due to methodological constraints.
Purpose of the Study:
- To investigate the neural and cognitive mechanisms of real-world ambulatory motor control.
- To examine brain activity during obstacle avoidance using mobile electroencephalography (EEG).
Main Methods:
- Mobile EEG data collected from 32 healthy adults walking and avoiding projected obstacles.
- Time-frequency analysis of EEG to identify neural markers of motor control.
Main Results:
- Increased frontal theta power indicated proactive motor control before obstacles.
- Increased centro-parietal beta power indicated reactive motor control after obstacles.
- Frontal theta changes suggest motor plans update upon obstacle detection, not just at contact.
Conclusions:
- Mobile EEG during real-world walking offers insights into dynamic motor control.
- Identified neural markers (theta and beta power) for proactive and reactive control.
- Findings suggest potential for monitoring and rehabilitation of motor disorders like dyspraxia and Parkinson's disease.
