Movement intention detection in adolescents with cerebral palsy from single-trial EEG

Abstract

Objectives: As for stroke rehabilitation, brain-computer interfaces could potentially be used for inducing neural plasticity in patients with cerebral palsy by pairing movement intentions with relevant somatosensory feedback. Therefore, the aim of this study was to investigate if movement intentions from children with cerebral palsy can be detected from single-trial EEG. Moreover, different feature types and electrode setups were evaluated. Approach: Eight adolescents with cerebral palsy performed self-paced dorsiflexions of the ankle while nine channels of EEG were recorded. The EEG was divided into movement intention epochs and idle epochs. The data were pre-processed and temporal, spectral and template matching features were extracted and classified using a random forest classifier. The classification accuracy of the 2-class problem was used as an estimation of the detection performance. This analysis was repeated using a single EEG channel, a Large Laplacian filtered channel and nine channels. Results: A classification accuracy of ~70% was obtained using only a single channel. This increased to ~80% for the Laplacian filtered data, while ~75% of the data were correctly classified when using nine channels. In general, the highest accuracies were obtained using temporal features or using all of them combined. Significance: The results indicate that it is possible to detect movement intentions in patients with cerebral palsy; this may be used in the development of a brain-computer interface for motor rehabilitation of patients with cerebral palsy.

EEG Assessment in a 2-Year-Old Child with Prolonged Disorders of Consciousness: 3 Years’ Follow-up

“…One study showed that children can quickly achieve control and execute multiple tasks using simple EEG-based BCI systems [ 45 ]. This has been demonstrated in autism [ 46 ] and cerebral palsy [ 47 ]. Therefore, the longitudinal study of pediatric EEG provides a reference for the development of BCI for children.…”

Brain-Computer Interfaces for Children With Complex Communication Needs and Limited Mobility: A Systematic Review

“…Then 359 titles and abstracts were reviewed and 203 were removed, according to the inclusion criteria (section Screening Process: Inclusion and Exclusion Criteria), leaving 156 articles that required full-text review. Twelve articles were subsequently identified as eligible for inclusion and grouping into sub-categories: seven relating to communication (Beveridge et al, 2017(Beveridge et al, , 2019Taherian et al, 2017;Norton et al, 2018;Zhang et al, 2019;Vařeka, 2020); and five concerning mobility (Sanchez et al, 2008;Breshears et al, 2011;Pistohl et al, 2012Pistohl et al, , 2013Jochumsen et al, 2018). The flowchart in Figure 2 details outcomes of: identification; screening; eligibility; inclusion steps.…”

“…Eight studies (Ehlers et al, 2012;Beveridge et al, 2017Beveridge et al, , 2019Taherian et al, 2017;Jochumsen et al, 2018;Norton et al, 2018;Zhang et al, 2019;Vařeka, 2020) in this category used EEG as the non-invasive modality for interrogating the pediatric brain. The study by Jochumsen et al (2018) is the only one on non-invasive pediatric BCI related to manual ability.…”

“…Eight studies (Ehlers et al, 2012;Beveridge et al, 2017Beveridge et al, , 2019Taherian et al, 2017;Jochumsen et al, 2018;Norton et al, 2018;Zhang et al, 2019;Vařeka, 2020) in this category used EEG as the non-invasive modality for interrogating the pediatric brain. The study by Jochumsen et al (2018) is the only one on non-invasive pediatric BCI related to manual ability. The other seven noninvasive BCI studies (Ehlers et al, 2012;Beveridge et al, 2017Beveridge et al, , 2019Taherian et al, 2017;Norton et al, 2018;Zhang et al, 2019;Vařeka, 2020) focused on new systems to support communication and computer interaction.…”

Rehabilitation possibilities for children with cerebral palsy through the use of robotic devices and biofeedback

“…Несмотря на то, что ряд авторов [44,45] указывает на огромную перспективу использование ИМК в реабилитации детей с ДЦП, в настоящее время имеются лишь единичные экспериментальные работы в этой области. Одной из первых исследовательских работ явилось исследование, в котором показана потенциальная возможность использования ИМК у пациентов с ДЦП на основе анализа динамики сенсомоторного ритма или зрительных вызванных ЭЭГ-потенциалов, запущенных внешней стимуляцией [46].…”