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Evaluating If Children Can Use Simple Brain Computer Interfaces
Jack Zhang1,2, Zeanna Jadavji1,2, Ephrem Zewdie1,2
1Calgary Pediatric Stroke Program, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.
Insights
Children can effectively use electroencephalogram-based brain-computer interfaces (BCIs) for tasks like controlling a car or cursor. Performance varies by age, task, and strategy, indicating potential for disabled children.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Pediatric Technology
Background:
- Severely disabled children with intact cognition have limited environmental interaction options.
- Brain-computer interfaces (BCIs) offer potential for enhanced function, communication, and independence in this population.
- Existing BCI research primarily focuses on adults, with limited exploration in pediatric populations.
Purpose of the Study:
- To assess the capability of typically developing school-aged children to perform tasks using a commercially available electroencephalogram-based brain-computer interface (EEG-BCI).
- To investigate the influence of task type, cognitive strategy, and age on BCI performance in children.
- To establish the feasibility and efficacy of EEG-BCI systems for pediatric use.
Main Methods:
- A prospective, cross-over study involving typically developing children aged 6-18 years.
- Children performed two tasks (remote-control car, computer cursor) using two strategies (sensorimotor, visual imagery) with an EEG-BCI system (EMOTIV EPOC).
- Primary outcome measured was the kappa coefficient, assessing agreement between requested and achieved performance, with exploration of age and learning effects.
Main Results:
- Twenty-six children completed the study, reporting excellent tolerability (>90% neutral or pleasant experience).
- Older children demonstrated performance comparable to adult BCI studies; younger children showed good, though lesser, performance.
- The car task and visual imagery strategy yielded significantly higher performance compared to the cursor task and sensorimotor strategy, respectively.
Conclusions:
- Children can rapidly gain control and execute tasks using simple EEG-BCI systems.
- BCI performance in children is influenced by strategy, task, and age.
- The demonstrated success in typically developing children supports further investigation of practical BCI systems for severely disabled children.
Abstract:
Background: The options for severely disabled children with intact cognition to interact with their environment are extremely limited. A brain computer interface (BCI) has the potential to allow such persons to gain meaningful function, communication, and independence. While the pediatric population might benefit most from BCI technology, research to date has been predominantly in adults. Methods: In this prospective, cross-over study, we quantified the ability of healthy school-aged children to perform simple tasks using a basic, commercially available, EEG-based BCI. Typically developing children aged 6-18 years were recruited from the community. BCI training consisted of a brief set-up and EEG recording while performing specific tasks using an inexpensive, commercially available BCI system (EMOTIV EPOC). Two tasks were trained (driving a remote-control car and moving a computer cursor) each using two strategies (sensorimotor and visual imagery). Primary outcome was the kappa coefficient between requested and achieved performance. Effects of task, strategy, age, and learning were also explored. Results: Twenty-six of thirty children completed the study (mean age 13.2 ± 3.6 years, 27% female). Tolerability was excellent with >90% reporting the experience as neutral or pleasant. Older children achieved performance comparable to adult studies, but younger age was associated with lesser though still good performance. The car task demonstrated higher performance compared to the cursor task (p = 0.027). Thought strategy was also associated with performance with visual imagery strategies outperforming sensorimotor approaches (p = 0.031). Conclusion: Children can quickly achieve control and execute multiple tasks using simple EEG-based BCI systems. Performance depends on strategy, task and age. Such success in the developing brain mandates exploration of such practical systems in severely disabled children.
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