Key result
Robot-mediated gross motor interactions significantly increased relative alpha band power in the contralateral motor cortex, whereas fine motor interactions increased alpha power in frontopolar and central regions.
Why the study?
The study was designed to investigate EEG spectral feature modulations associated with fatigue induced by robot-mediated upper limb gross motor versus fine motor interactions.
Do robot-mediated gross and fine motor interactions induce different EEG spectral feature modulations associated with fatigue in healthy volunteers?
RCT (n=20)
Open-label
Randomly assigned
No
Do robot-mediated gross and fine motor interactions induce different EEG spectral feature modulations associated with fatigue in healthy volunteers?
Regional differences in prominent EEG spectral features indicate that gross and fine motor robot-mediated interactions differently alter physical and mental fatigue levels.
Answers are grounded in this paper and cite their sources.
Differentiates fatigue responses by motor task type in robotic interactions; extends EEG spectral biomarkers for tailored rehabilitation protocols.
This paper investigates the EEG spectral feature modulations associated with fatigue induced by robot-mediated upper limb gross motor and fine motor interactions. Twenty healthy participants were randomly assigned to either perform a gross motor interaction with HapticMASTER or a fine motor interaction with SCRIPT passive orthosis for 20 minutes or until volitional fatigue. EEG relative and ratio band power measures were estimated from the data recorded before and after the interactions. Paired-samples t -tests found a significant increase in relative alpha band power on FC3, C3, P3 electrodes, and ( θ + α )/ β and α / β on C3 electrode following the gross motor interaction. Conversely, relative delta band power on C3 significantly decreased. A significant increase in relative alpha band power on FP1, C3 electrodes and relative theta band power on C4 electrode were found following the fine motor interaction whereas relative delta band power on FP1 electrode significantly decreased. Most participants reported an increase in their physical fatigue level following the gross movements and an increase in their mental fatigue level following the fine movements. Findings affirm that changes to localised brain activity patterns are an indication of fatigue developed from the robot-mediated interactions. It can be concluded that regional differences in the prominent EEG spectral features are most likely due to the differences in the nature of the task (fine/gross motor and distal/proximal upper limb) that may have differently altered an individual’s physical and mental fatigue level. The findings could potentially be utilised to monitor and moderate fatigue during robot-mediated post-stroke therapies.
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Dissanayake et al. (2021) conducted an RCT in Healthy (Fatigue induction) (n=20). Robot-mediated gross motor interaction (HapticMASTER) vs. Robot-mediated fine motor interaction (SCRIPT passive orthosis) was evaluated on EEG relative and ratio band power measures (alpha, theta, delta, beta) before and after interactions (p=<0.05). Robot-mediated gross motor interactions significantly increased relative alpha band power in the contralateral motor cortex, whereas fine motor interactions increased alpha power in frontopolar and central regions.
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