Fatigue in children using motor imagery and P300 brain-computer interfaces

Area of Science:

• Neuroscience
• Human-Computer Interaction
• Pediatric Research

Background:

• Brain-computer interface (BCI) technology offers significant potential for children with quadriplegic cerebral palsy.
• Adult BCI research indicates fatigue negatively impacts enjoyment and variably affects performance.
• Pediatric BCI fatigue studies are lacking.

Purpose of the Study:

• To assess the effects of motor imagery and visual P300 BCI paradigms on fatigue in typically developing children.
• To examine self-reported fatigue and electroencephalography (EEG) alpha band power as fatigue biomarkers.
• To investigate the relationship between BCI paradigms and fatigue development in pediatric users.

Main Methods:

• A crossover study involving 37 typically developing children aged 7-16.
• Participants completed three sessions: motor imagery-BCI, visual P300-BCI, and video viewing (control).
• Primary outcomes included self-reported fatigue (visual analog scale) and EEG alpha band power, measured pre- and post-task.

Main Results:

• Self-reported fatigue and EEG alpha band power increased across all sessions (p < 0.001 and p = 0.027, respectively).
• No significant differences in fatigue development were found between the BCI paradigms or the control session.
• BCI performance varied individually and was not correlated with self-reported fatigue or EEG alpha band power changes.

Conclusions:

• Short-term BCI use (30 minutes) elevates both self-reported fatigue and EEG alpha band power in children.
• The impact of fatigue on BCI usability and enjoyment in children remains unclear.
• Further research is needed to understand the variability of fatigue and the broader BCI experience in pediatric populations.