Two sides of the same coin: adaptation of BCIs to internal states with user-centered design and electrophysiological features

Han, Yiyuan; Ziebell, Philipp; Riccio, Angela; Halder, Sebastian

doi:10.1080/2326263x.2022.2041294

Cited by 11 publications

(7 citation statements)

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“…Indeed, it is mandatory to assess the level of responsiveness, necessary to accomplish more complex tasks. A passive BCI could be a promising instrument in this sense (Han et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

“…The passive BCI can passively decode mental, emotional, and cognitive states from the neurophysiological signals of the user. These systems do not require any active modulation of user's brain activity or engagement in a specific task, as in the active BCI (Zander et al, 2009 ; Han et al, 2022 ; Sciaraffa et al, 2022 ). Finally, the BCI also includes hybrid systems (h-BCI), which integrate two different brain signals to produce its output or which combine a BCI output with a muscle-based one (Choi et al, 2017 ).…”

Section: Introductionmentioning

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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“…Indeed, it is mandatory to assess the level of responsiveness, necessary to accomplish more complex tasks. A passive BCI could be a promising instrument in this sense (Han et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…Further studies should explore whether there is a causal link between the increases of sensitivity and performance. Either way, there are important implications for the user-centered design 57 , 70 of future tactile BCIs. In potential end-users with ALS, for instance, the collagen structure in the skin is altered, although it is unclear whether this affects tactile sensitivity 71 .…”

Section: Discussionmentioning

confidence: 99%

“…After EEG preparation, three calibration runs were performed with a short pause in between. This was done at the beginning of every session to account for possible training effects 57 , 58 . For calibration, participants were instructed to concentrate on the vibration at determined target positions (either front, back, left or right) by silently counting how often the current position was activated.…”

Section: Methodsmentioning

confidence: 99%

Identifying potential training factors in a vibrotactile P300-BCI

Eidel

Kübler

2022

Sci Rep

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Brain–computer interfaces (BCI) often rely on visual stimulation and feedback. Potential end-users with impaired vision, however, cannot use these BCIs efficiently and require a non-visual alternative. Both auditory and tactile paradigms have been developed but are often not sufficiently fast or accurate. Thus, it is particularly relevant to investigate if and how users can train and improve performance. We report data from 29 healthy participants who trained with a 4-choice tactile P300-BCI during five sessions. To identify potential training factors, we pre-post assessed the robustness of the BCI performance against increased workload in a dual task condition and determined the participants’ somatosensory sensitivity thresholds with a forced-choice intensity discrimination task. Accuracy (M = 79.2% to 92.0%) and tactually evoked P300 amplitudes increased significantly, confirming successful training. Pre-post somatosensory sensitivity increased, and workload decreased significantly, but results of the dual task condition remained inconclusive. The present study confirmed the previously reported feasibility and trainability of our tactile BCI paradigm within a multi-session design. Importantly, we provide first evidence of improvement in the somatosensory system as a potential mediator for the observed training effects.

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“…Such designs are common in the behavioral sciences, including communication sciences, and allow researchers to draw scientifically valid inferences about the effects of an intervention from the performance of a small number of participants (Horner et al, 2005;Krasny-Pacini and Evans, 2018;Kazdin, 2019). The flexible nature of singlecase experimental research designs permits investigators to modify an intervention mid-experiment to address individual participants' needs and preferences, fitting well within the iterative user-centered design approach often recommended for BCI research and development (Chavarriaga et al, 2017;Choi et al, 2017;Garro and McKinney, 2020;Kubler, 2020;Alonso-Valerdi and Mercado-Garcia, 2021;Branco et al, 2021;Pitt and Brumberg, 2021;Han et al, 2022).…”

Section: Study Characteristicsmentioning

confidence: 99%

A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities

Peters

Eddy²,

Galvin-McLaughlin³

et al. 2022

Front. Hum. Neurosci.

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Augmentative and alternative communication brain-computer interface (AAC-BCI) systems are intended to offer communication access to people with severe speech and physical impairment (SSPI) without requiring volitional movement. As the field moves toward clinical implementation of AAC-BCI systems, research involving participants with SSPI is essential. Research has demonstrated variability in AAC-BCI system performance across users, and mixed results for comparisons of performance for users with and without disabilities. The aims of this systematic review were to (1) describe study, system, and participant characteristics reported in BCI research, (2) summarize the communication task performance of participants with disabilities using AAC-BCI systems, and (3) explore any differences in performance for participants with and without disabilities. Electronic databases were searched in May, 2018, and March, 2021, identifying 6065 records, of which 73 met inclusion criteria. Non-experimental study designs were common and sample sizes were typically small, with approximately half of studies involving five or fewer participants with disabilities. There was considerable variability in participant characteristics, and in how those characteristics were reported. Over 60% of studies reported an average selection accuracy ≤70% for participants with disabilities in at least one tested condition. However, some studies excluded participants who did not reach a specific system performance criterion, and others did not state whether any participants were excluded based on performance. Twenty-nine studies included participants both with and without disabilities, but few reported statistical analyses comparing performance between the two groups. Results suggest that AAC-BCI systems show promise for supporting communication for people with SSPI, but they remain ineffective for some individuals. The lack of standards in reporting outcome measures makes it difficult to synthesize data across studies. Further research is needed to demonstrate efficacy of AAC-BCI systems for people who experience SSPI of varying etiologies and severity levels, and these individuals should be included in system design and testing. Consensus in terminology and consistent participant, protocol, and performance description will facilitate the exploration of user and system characteristics that positively or negatively affect AAC-BCI use, and support innovations that will make this technology more useful to a broader group of people.Clinical trial registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42018095345, PROSPERO: CRD42018095345.

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Two sides of the same coin: adaptation of BCIs to internal states with user-centered design and electrophysiological features

Cited by 11 publications

References 104 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

Identifying potential training factors in a vibrotactile P300-BCI

A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities

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