Implantable brain machine interfaces: first-in-human studies, technology challenges and trends

Current Opinion in Biotechnology, Journal Year: 2021, Volume and Issue: 72, P. 102 - 111

Published: Nov. 5, 2021

Implantable brain machine interfaces (BMIs) are now on a trajectory to go mainstream, wherein what was once considered last resort will progressively become elective at earlier stages in disease treatment. First-in-human successes have demonstrated the ability decode highly dexterous motor skills such as handwriting, and speech from human cortical activity. These been used for cursor prosthesis control, direct-to-text communication synthesis. Along with these breakthrough studies, technology advancements enabled observation of more channels neural activity through new concepts centralised/distributed implant architectures. This is complemented by research flexible substrates, packaging, surgical workflows data processing. New regulatory guidance funding has galvanised field. culmination resource, efforts capability attracting significant investment BMI commercialisation. paper reviews recent developments describes paradigm shift development that leading innovations, insights translation.

Language: Английский

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Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review

Fundamental Research, Journal Year: 2024, Volume and Issue: 5(1), P. 3 - 16

Published: April 16, 2024

Brain-computer interface (BCI) technology represents a burgeoning interdisciplinary domain that facilitates direct communication between individuals and external devices. The efficacy of BCI systems is largely contingent upon the progress in signal acquisition methodologies. This paper endeavors to provide an exhaustive synopsis technologies within realm by scrutinizing research publications from last ten years. Our review synthesizes insights both clinical engineering viewpoints, delineating comprehensive two-dimensional framework for understanding BCIs. We delineate nine discrete categories technologies, furnishing exemplars each salient challenges pertinent these modalities. furnishes researchers practitioners with broad-spectrum comprehension landscape BCI, deliberates on paramount issues presently confronting field. Prospective enhancements should focus harmonizing multitude disciplinary perspectives. Achieving equilibrium fidelity, invasiveness, biocompatibility, other pivotal considerations imperative. By doing so, we can propel forward, bolstering its effectiveness, safety, dependability, thereby contributing auspicious future human-technology integration.

Language: Английский

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Neural electrodes for brain‐computer interface system: From rigid to soft

BMEMat, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 12, 2025

Abstract Brain‐computer interface (BCI) is an advanced technology that establishes a direct connection between the brain and external devices, enabling high‐speed real‐time information exchange. In BCI systems, electrodes are key devices responsible for transmitting signals including recording electrophysiological electrically stimulating nerves. Early were mainly composed of rigid materials. The mismatch in Young's modulus soft biological tissue can lead to rejection reactions within system, resulting electrode failure. Furthermore, prone damaging tissues during implantation use. Recently, flexible have garnered attention field science research due their better adaptability softness curvature brain. design effectively reduce mechanical damage neural improve accuracy stability signal transmission, providing new tools methods exploring function mechanisms developing novel technologies. Here, we review advancements systems. This paper emphasizes importance discusses limitations traditional electrodes, introduces various types detail. addition, also explore practical application scenarios future development trends technology, aiming offer valuable insights enhancing performance user experience

Language: Английский

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Optimizing Stimulus Frequency Ranges for Building a High-Rate High Frequency SSVEP-BCI

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Year: 2023, Volume and Issue: 31, P. 1277 - 1286

Published: Jan. 1, 2023

The brain-computer interfaces (BCIs) based on steady-state visual evoked potential (SSVEP) have been extensively explored due to their advantages in terms of high communication speed and smaller calibration time. stimuli the low- medium-frequency ranges are adopted most existing studies for eliciting SSVEPs. However, there is a need further improve comfort these systems. high-frequency used build BCI systems generally considered significantly comfort, but performance relatively low. distinguishability 16-class SSVEPs encoded by three frequency ranges, i.e., 31-34.75 Hz with an interval 0.25 Hz, 31-38.5 0.5 31-46 1 this study. We compare classification accuracy information transfer rate (ITR) corresponding system. According optimized range, study builds online 16-target SSVEP-BCI verifies feasibility proposed system 21 healthy subjects. narrowest 31-34.5 highest ITR. Therefore, range An averaged ITR obtained from experiment 153.79 ± 6.39 bits/min. These findings contribute development more efficient comfortable SSVEP-based BCIs.

Language: Английский

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Applying the IEEE BRAIN neuroethics framework to intra-cortical brain-computer interfaces

Journal of Neural Engineering, Journal Year: 2024, Volume and Issue: 21(2), P. 022001 - 022001

Published: March 27, 2024

Abstract Objective . Brain-computer interfaces (BCIs) are neuroprosthetic devices that allow for direct interaction between brains and machines. These types of neurotechnologies have recently experienced a strong drive in research development, given, part, they promise to restore motor communication abilities individuals experiencing severe paralysis. While rich literature analyzes the ethical, legal, sociocultural implications (ELSCI) these novel neurotechnologies, engineers, clinicians BCI practitioners often do not enough exposure topics. Approach Here, we present IEEE Neuroethics Framework, an international, multiyear, iterative initiative aimed at developing robust, accessible set considerations diverse stakeholders. Main results Using framework, provide practical examples ELSCI neurotechnologies. We focus on invasive technologies, particular, implanted intra-cortically medical applications. Significance demonstrate utility our framework exposing wide range across different intra-cortical technology modalities conclude with recommendations how utilize this knowledge development application ethical guidelines

Language: Английский

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Endovascular Brain-Computer Interfaces in Poststroke Paralysis

Stroke, Journal Year: 2023, Volume and Issue: 55(2), P. 474 - 483

Published: Nov. 29, 2023

Stroke is a leading cause of paralysis, most frequently affecting the upper limbs and vocal folds. Despite recent advances in care, stroke recovery invariably reaches plateau, after which there are permanent neurological impairments. Implantable brain-computer interface devices offer potential to bypass lesions. They function by (1) recording neural activity, (2) decoding signal occurring response volitional motor intentions, (3) generating digital control signals that may be used external devices. While technology has revolutionize clinical translation been limited. Endovascular arrays present novel form minimally invasive have deployed human subjects during early feasibility studies. This article provides an overview endovascular critically evaluates patient with as implant candidate. Future opportunities mapped, along challenges arising when activity following infarction. Limitations arise considering intracerebral hemorrhage cortex lesions; however, future directions outlined aim address these challenges.

Language: Английский

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SANS TRACAS: Design and Evaluation of a Cross-Platform Tool for Conducting Online EEG Experiments

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 35

Published: Jan. 15, 2025

For nearly a century, electroencephalography (EEG) research has been crucial tool in the study of brain activity, and this valuable technique is becoming increasingly accessible due to recent advancements technology. In article, we report on collaborative effort between cognitive neuroscientists human–computer interaction (HCI) researchers design, develop, evaluate Sans Tracas – cross-platform web application for running EEG experiments online. Using multidisciplinary user-centric iterative design approach, was designed be easy use by participants alike. To feasibility conducting online people with varying Brain Computer Interface (BCI) knowledge, conducted 55 participants, followed semi-structured interview 11 uncover more qualitative insights into usability people's perception platform. Results showed that average number trials connect Muse 2.55 (SD = 3.42). The time complete entire 17 minutes 4 minutes). Participants also found fun participate independently reported interest BCI than before study. We conclude usable platform studies offers an alternative traditional in-lab settings.

Language: Английский

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Community perspectives regarding brain-computer interfaces: A cross-sectional study of community-dwelling adults in the UK

PLOS Digital Health, Journal Year: 2025, Volume and Issue: 4(2), P. e0000524 - e0000524

Published: Feb. 5, 2025

Background Brain-computer interfaces (BCIs) represent a ground-breaking advancement in neuroscience, facilitating direct communication between the brain and external devices. This technology has potential to significantly improve lives of individuals with neurological disorders by providing innovative solutions for rehabilitation, personal autonomy. However, despite rapid progress BCI social media discussions around Neuralink, public perceptions ethical considerations concerning BCIs—particularly within community settings UK—have not been thoroughly investigated. Objective The primary aim this study was investigate knowledge, attitudes regarding BCIs including considerations. also explored whether demographic factors were related beliefs about increasing inequalities, support strict regulations, appropriate fields design, testing utilization healthcare. Methods cross-sectional conducted 1 December 2023 8 March 2024. survey included 29 structured questions covering demographics, awareness BCIs, willingness use various applications. distributed via Imperial College Qualtrics platform. Participants recruited primarily through Prolific Academic’s panel networks. Data analysis involved summarizing responses using frequencies percentages, chi-squared tests compare groups. All data securely stored pseudo-anonymized ensure confidentiality. Results Of 950 invited respondents, 846 participated 806 completed survey. profile diverse, most respondents aged 36–45 years (26%) balanced gender (52% female), predominantly identifying as White (86%). Most (98%) had never used 65% unaware them prior Preferences types varied condition. Ethical concerns prevalent, particularly implantation risks costs (92%). Significant associations observed variables regulation their application Conclusion: Despite strong interest medical applications, concerns, safety privacy issues remain significant highlighting need clear regulatory frameworks guidelines, well educational initiatives understanding trust. Promoting discourse involving stakeholders users, ethicists technologists design process co-design principles can help align technological development whilst helping developers proactively address dilemmas.

Language: Английский

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Stakeholder’s perspective on brain–computer interfaces for children and young adults with cerebral palsy

Disability and Rehabilitation Assistive Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 11

Published: March 23, 2025

Communication Brain-Computer Interfaces (cBCIs) are a promising tool for people with motor and speech impairment, in particular children young adults communication impairments, example due to cerebral palsy (CP). Here we aimed create solid basis the user-centered design of cBCIs severe CP by investigating perspectives their parents/caregivers health care professionals on cBCIs. We conducted an online survey 1) current problems usability used aids, 2) interest cBCIs, 3) preference specific types A total 19 36 who interacted directly (8–25 years old) CP, corresponding Gross Motor Function Classification System level IV or V, participated. Both groups respondents indicated that impairment occurred most frequently had greatest impact communication. The currently aids included mainly no/low-tech high-tech aids. majority reported slight implanted electrodes over non-implanted ones, no either two proposed mental BCI control strategies. Results indicate should be considered subpopulation development this group both visual stimuli sensorimotor rhythms, as well use electrodes, considered.

Language: Английский

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Future Developments in Brain/Neural–Computer Interface Technology

Advances in neuroethics, Journal Year: 2023, Volume and Issue: unknown, P. 65 - 85

Published: Jan. 1, 2023

Language: Английский

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