Brain-Computer Interface for children: state-of-the-art and challenges

Beraldo, Gloria; Suppiej, Agnese; Forest, Cristina; Tonin, Luca; Menegatti, Emanuele

doi:10.1109/smc42975.2020.9283485

Cited by 5 publications

(3 citation statements)

References 55 publications

(80 reference statements)

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“…Virtual reality behavioral task design represents a new and emerging platform for human neuroscientific research [7][8][9][10]. In this work, we quantified the impact of a VR research platform implementation on electrophysiological signal quality and fidelity specifically from intracranial recordings.…”

Section: Discussionmentioning

confidence: 99%

An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis

Paschall¹,

Rao²,

Hauptman³

et al. 2022

Preprint

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<p>Virtual reality tasks were well-tolerated in two inpatient intracranial recording subjects who completed over 94 minutes of cumulative time in VR. The HMD was found to introduce phase-locked line noise and intermittent broadband high frequency noise. Both seemed addressable by common average and common median referencing. This work represents the first implementation of an immersive VR task for patients implanted with intracranial electrodes in an in-patient setting.</p>

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Section: Discussionmentioning

confidence: 99%

An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis

Paschall¹,

Rao²,

Hauptman³

et al. 2022

Preprint

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“…There have been a few reviews of traditional single-input BCI use with children (Mikołajewska and Mikołajewski, 2014;Beraldo et al, 2020;Orlandi et al, 2021). However, the reviews only revealed 8 unique studies for BCI control of devices, and no reviewed studies used hBCI.…”

Section: Introductionmentioning

confidence: 99%

“…Cognitive skills that affect BCI performance are beginning to be explored with adults, such as working memory, general intelligence, executive function (Sprague et al, 2016), maintaining attention (Riccio et al, 2013), and task switching (Pitt and Brumberg, 2018). The Beraldo review summarized that children 11 years and older achieved performance comparable to adults (Beraldo et al, 2020). However, some of the needed cognitive skills are only apparent after a certain level of brain development (Menary et al, 2013), for example, Cowan et al (2006) reported that children have poorer attention capabilities than adults.…”

Section: Introductionmentioning

confidence: 99%

EEG hybrid brain-computer interfaces: A scoping review applying an existing hybrid-BCI taxonomy and considerations for pediatric applications

Mussi

Adams²

2022

Front. Hum. Neurosci.

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Most hybrid brain-computer interfaces (hBCI) aim at improving the performance of single-input BCI. Many combinations are possible to configure an hBCI, such as using multiple brain input signals, different stimuli or more than one input system. Multiple studies have been done since 2010 where such interfaces have been tested and analyzed. Results and conclusions are promising but little has been discussed as to what is the best approach for the pediatric population, should they use hBCI as an assistive technology. Children might face greater challenges when using BCI and might benefit from less complex interfaces. Hence, in this scoping review we included 42 papers that developed hBCI systems for the purpose of control of assistive devices or communication software, and we analyzed them through the lenses of potential use in clinical settings and for children. We extracted taxonomic categories proposed in previous studies to describe the types of interfaces that have been developed. We also proposed interface characteristics that could be observed in different hBCI, such as type of target, number of targets and number of steps before selection. Then, we discussed how each of the extracted characteristics could influence the overall complexity of the system and what might be the best options for applications for children. Effectiveness and efficiency were also collected and included in the analysis. We concluded that the least complex hBCI interfaces might involve having a brain inputs and an external input, with a sequential role of operation, and visual stimuli. Those interfaces might also use a minimal number of targets of the strobic type, with one or two steps before the final selection. We hope this review can be used as a guideline for future hBCI developments and as an incentive to the design of interfaces that can also serve children who have motor impairments.

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The lived experiences of play and the perspectives of disabled children and their parents surrounding brain-computer interfaces

Siu,

Aoude,

Andersen

et al. 2024

Disability and Rehabilitation: Assistive Technology

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Brain-Computer Interface for children: state-of-the-art and challenges

Cited by 5 publications

References 55 publications

An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis

An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis

EEG hybrid brain-computer interfaces: A scoping review applying an existing hybrid-BCI taxonomy and considerations for pediatric applications

The lived experiences of play and the perspectives of disabled children and their parents surrounding brain-computer interfaces

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