Action Games, Motor Imagery, and Control Strategies: Toward a Multi-button Controller

Coyle, Damien; Stow, Jacqueline; McCreadie, Karl; Li, Chen; Garcia, Jhonatan; McElligott, Jacinta; Carroll, Áine

doi:10.1007/978-981-4560-52-8_1-1

Cited by 5 publications

(8 citation statements)

References 60 publications

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“…The total number of patients with DoC included in the studies was 390 (considering 26 out of the total 27 studies): 4 patients were in coma, 195 were VS/UWS patients and 186 were MCS patients. The number varied from a minimum of 4 patients (Coyle et al, 2015) to a maximum of 78 DoC patients (Pan et al, 2020), with an average (±standard deviation, SD) of 15 (±14.5) DoC patients for paper (not considering LIS and EMCS patients included in the papers). Four studies had a sample of participants including 20 or more patients (Xiao et al, 2016;Annen et al, 2020b;Murovec et al, 2020;Pan et al, 2020).…”

Section: Sample Of Participants and Behavioral Assessmentmentioning

confidence: 99%

“…They did not specify the diagnosis of the DoC patients involved in the paper, but they divided the sample (n = 18) into conscious/unconscious (n = 14/4) patients according to the Command Following Score (CFS; Claassen 2018) included only patients in VS/UWS. Twenty-one (77.8%) studies included a control group of healthy subjects (no control group: Coyle et al, 2015;Guger et al, 2017Guger et al, , 2018Wang et al, 2017;Annen et al, 2018;Spataro et al, 2022). Furthermore, 11 (40.7%) studies also included LIS and EMCS patients (see Supplementary Table 1).…”

Section: Sample Of Participants and Behavioral Assessmentmentioning

confidence: 99%

“…The motor action task characterized 1 study (3.7%), in which the participant was asked to open/close the right hand (Eliseyev et al, 2021). Motor imagery tasks were used in 4 works (14.8%): 3 of them (Höller et al, 2013;Guger et al, 2017;Chatelle et al, 2018) asked the participants to imagine opening/closing the hand; Coyle et al (2015) asked participants to imagine moving the hand or the foot toe. Finally, one study (Huang et al, 2021a), developed a passive emotion recognition paradigm to elicit specific brain rhythms.…”

Section: Paradigmsmentioning

confidence: 99%

“…Coherences showed the best reliability among healthy subjects and VS/UWS and MCS groups, although feature extraction and classification in patients don't provide a validation ground for results. Results from Coyle et al (2015) suggested that a MIbased BCI systems can complement awareness assessment tests (4 MCS patients tested). Finally, Eliseyev et al (2021), who tested BCI based on a motor action paradigm, obtained significant results only in 5 of the 14 conscious patients tested, while none of the 4 unconscious patients reached a significant accuracy.…”

Section: Bci Performancementioning

confidence: 99%

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EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review

Galiotta

Quattrociocchi

D’Ippolito

et al. 2022

Front. Hum. Neurosci.

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BackgroundDisorders of Consciousness (DoC) are clinical conditions following a severe acquired brain injury (ABI) characterized by absent or reduced awareness, known as coma, Vegetative State (VS)/Unresponsive Wakefulness Syndrome (VS/UWS), and Minimally Conscious State (MCS). Misdiagnosis rate between VS/UWS and MCS is attested around 40% due to the clinical and behavioral fluctuations of the patients during bedside consciousness assessments. Given the large body of evidence that some patients with DoC possess “covert” awareness, revealed by neuroimaging and neurophysiological techniques, they are candidates for intervention with brain-computer interfaces (BCIs).ObjectivesThe aims of the present work are (i) to describe the characteristics of BCI systems based on electroencephalography (EEG) performed on DoC patients, in terms of control signals adopted to control the system, characteristics of the paradigm implemented, classification algorithms and applications (ii) to evaluate the performance of DoC patients with BCI.MethodsThe search was conducted on Pubmed, Web of Science, Scopus and Google Scholar. The PRISMA guidelines were followed in order to collect papers published in english, testing a BCI and including at least one DoC patient.ResultsAmong the 527 papers identified with the first run of the search, 27 papers were included in the systematic review. Characteristics of the sample of participants, behavioral assessment, control signals employed to control the BCI, the classification algorithms, the characteristics of the paradigm, the applications and performance of BCI were the data extracted from the study. Control signals employed to operate the BCI were: P300 (N = 19), P300 and Steady-State Visual Evoked Potentials (SSVEP; hybrid system, N = 4), sensorimotor rhythms (SMRs; N = 5) and brain rhythms elicited by an emotional task (N = 1), while assessment, communication, prognosis, and rehabilitation were the possible applications of BCI in DoC patients.ConclusionDespite the BCI is a promising tool in the management of DoC patients, supporting diagnosis and prognosis evaluation, results are still preliminary, and no definitive conclusions may be drawn; even though neurophysiological methods, such as BCI, are more sensitive to covert cognition, it is suggested to adopt a multimodal approach and a repeated assessment strategy.

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Section: Sample Of Participants and Behavioral Assessmentmentioning

confidence: 99%

Section: Sample Of Participants and Behavioral Assessmentmentioning

confidence: 99%

Section: Paradigmsmentioning

confidence: 99%

Section: Bci Performancementioning

confidence: 99%

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EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review

Galiotta

Quattrociocchi

D’Ippolito

et al. 2022

Front. Hum. Neurosci.

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“…Traditional targets (e.g., wheelchair and computer cursor) are often used for controls in research, but new BCI innovations are being researched, such as the exoskeleton (Frolov et al, 2017 ; Wang et al, 2018a ), drone (Wang et al, 2018b ), web browser (Zickler et al, 2011 ; Yu et al, 2012 ; Saboor et al, 2018 ), emailing (Zickler et al, 2011 ), and cleaning robot (Shao et al, 2020 ). In addition, the BCI field has produced more games, such as the traditional Tetris (Wang et al, 2019 ), action (Coyle et al, 2015 ) and games that stimulate rowing (Vourvopoulos et al, 2016 ), cart control (Wong et al, 2015 ), attention training (Rohani and Puthusserypady, 2015 ), as well as drawing (Botrel et al, 2015 ). In addition to the emergence of several applications, methods have been proposed to enhance usability and accessibility that should be considered for the development of BCIs for patients in terms of user-centered design (UCD) (Kübler et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation

Woo

Lee

Kim

et al. 2021

Front. Hum. Neurosci.

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Brain–computer interfaces can provide a new communication channel and control functions to people with restricted movements. Recent studies have indicated the effectiveness of brain–computer interface (BCI) applications. Various types of applications have been introduced so far in this field, but the number of those available to the public is still insufficient. Thus, there is a need to expand the usability and accessibility of BCI applications. In this study, we introduce a BCI application for users to experience a virtual world tour. This software was built on three open-source environments and is publicly available through the GitHub repository. For a usability test, 10 healthy subjects participated in an electroencephalography (EEG) experiment and evaluated the system through a questionnaire. As a result, all the participants successfully played the BCI application with 96.6% accuracy with 20 blinks from two sessions and gave opinions on its usability (e.g., controllability, completeness, comfort, and enjoyment) through the questionnaire. We believe that this open-source BCI world tour system can be used in both research and entertainment settings and hopefully contribute to open science in the BCI field.

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Optimal Modeling of College Students' Mental Health Based on Brain-Computer Interface and Imaging Sensing

2021

2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)

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Action Games, Motor Imagery, and Control Strategies: Toward a Multi-button Controller

Cited by 5 publications

References 60 publications

EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review

EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review

An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation

Optimal Modeling of College Students' Mental Health Based on Brain-Computer Interface and Imaging Sensing

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