Active Brain-Computer Interfacing for Healthy Users

Shishkin, Sergei L.

doi:10.3389/fnins.2022.859887

Cited by 6 publications

(4 citation statements)

References 39 publications

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“…Finally, the ability of QMs to act as a substitute of the attempted movements for eliciting a substantial ERD/ERS, confirmed in this study, opens a way to use them in active BCIs for healthy users, where an unusual experience is an important feature [ 33 ].…”

Section: Discussionmentioning

confidence: 72%

Quasi-Movements and “Quasi-Quasi-Movements”: Does Residual Muscle Activation Matter?

Vasilyev

Yashin

Shishkin

2023

Life

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Quasi-movements (QM) are observed when an individual minimizes a movement to an extent that no related muscle activation is detected. Likewise to imaginary movements (IM) and overt movements, QMs are accompanied by the event-related desynchronization (ERD) of EEG sensorimotor rhythms. Stronger ERD was observed under QMs compared to IMs in some studies. However, the difference could be caused by the remaining muscle activation in QMs that could escape detection. Here, we re-examined the relation between the electromyography (EMG) signal and ERD in QM using sensitive data analysis procedures. More trials with signs of muscle activation were observed in QMs compared with a visual task and IMs. However, the rate of such trials was not correlated with subjective estimates of actual movement. Contralateral ERD did not depend on the EMG but still was stronger in QMs compared with IMs. These results suggest that brain mechanisms are common for QMs in the strict sense and “quasi-quasi-movements” (attempts to perform the same task accompanied by detectable EMG elevation) but differ between them and IMs. QMs could be helpful in research aimed at better understanding motor action and at modeling the use of attempted movements in the brain-computer interfaces with healthy participants.

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Section: Discussionmentioning

confidence: 72%

Quasi-Movements and “Quasi-Quasi-Movements”: Does Residual Muscle Activation Matter?

Vasilyev

Yashin

Shishkin

2023

Life

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“…The industry's involvement spans various aspects, from brain-computer interfacing to gerontechnology and electromechanical interfaces. Shishkin (2022) discusses the advancements in active brain-computer interfacing (BCI) for healthy users, highlighting the exponential growth in BCI patent applications in recent years. The paper emphasizes the differences between invasive and non-invasive BCIs, particularly regarding their use by healthy users.…”

Section: Role Of Industry In Advancing Neural Interface Technologiesmentioning

confidence: 99%

Neural interfaces and human-computer interaction: A U.S. review: Delving into the developments, ethical considerations, and future prospects of brain-computer interfaces

Sedat Sonko,

Adefunke Fabuyide,

Kenneth Ifeanyi Ibekwe

et al. 2024

Int. J. Sci. Res. Arch.

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This study provides a comprehensive analysis of the developments, ethical considerations, and future prospects of brain-computer interfaces (BCIs) in the United States. The primary objective was to explore the historical evolution, current advancements, and potential societal impacts of neural interfaces in human-computer interaction. Employing a systematic literature review and content analysis methodology, the study analyzed peer-reviewed articles, government reports, and industry analyses published between 2015 and 2023. Key findings reveal significant technological advancements in neural interfaces, highlighting their transformative potential in various sectors. However, these advancements are accompanied by complex ethical dilemmas, particularly concerning privacy, security, and equitable access. The study underscores the necessity of balancing innovation with ethical considerations in the future landscape of neural interfaces. Strategic recommendations for stakeholders include fostering collaborative efforts across academia, industry, and government, developing robust regulatory frameworks, and prioritizing responsible research and development. The conclusion emphasizes the importance of ethical foresight and societal engagement in navigating the road ahead for neural interfaces in the U.S. This study contributes to the understanding of neural interfaces, providing insights into their potential benefits and challenges, and offers a framework for their ethical and sustainable development.

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“…Finally, QM is a promising basis for brain-computer interfaces designed for other potential applications, in particular, using repeated QM, which were shown to be more stable than repeated IM (Hohlefeld et al, 2011). QM could also be easier to master for many users (Nikulin et al, 2008) as motor imagery routinely has high performance variation in groups of participants (Ahn & Jun, 2015), and it might be worth considering it for recreational BCI applications, even for healthy users (Shishkin, 2022). Therefore, information about agents' experiences with QM would be valuable regardless of its relationship to IM, OM, and AM.…”

Section: Potential Applicationsmentioning

confidence: 99%

Is there a continuum of agentive awareness across physical and mental actions? The case of quasi-movements

Yashin¹,

Shishkin²,

Vasilyev³

2023

Preprint

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While humans routinely distinguish between physical and mental actions, overt movements (OM) and kinesthetically imagined movements (IM) are often viewed as forming a continuum of activities. Here, we theoretically conceptualized this continuum hypothesis for agentive awareness related to OM and IM and tested it experimentally using quasi-movements (QM), a little studied type of covert actions, which is considered as an inner part of the OM-IM continuum. QM are performed when a movement attempt is minimized down to full extinction of overt movement and muscle activity. We asked participants to perform OM, IM and QM and collected their electromyography data. According to participants’ reports, they experienced QM as OM in terms of intentions and expected sensory feedback, while the verbal descriptors were independent from muscle activation. These results do not fit the OM-QM-IM continuum and suggest qualitative distinction for agentive awareness between IM and QM/OM.

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Active Brain-Computer Interfacing for Healthy Users

Cited by 6 publications

References 39 publications

Quasi-Movements and “Quasi-Quasi-Movements”: Does Residual Muscle Activation Matter?

Quasi-Movements and “Quasi-Quasi-Movements”: Does Residual Muscle Activation Matter?

Neural interfaces and human-computer interaction: A U.S. review: Delving into the developments, ethical considerations, and future prospects of brain-computer interfaces

Is there a continuum of agentive awareness across physical and mental actions? The case of quasi-movements

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