About this Research Topic
The field of Brain-Computer Interfaces (BCIs) has witnessed vast advancements over the past few decades, driving transformative possibilities in human-computer interaction. Among the diverse applications of BCIs, communication restoration for individuals with severe motor disabilities stands as a beacon of technological promise and humanitarian value. Non-invasive BCIs, which do not require surgical implantation, present a particularly compelling avenue due to their accessibility, safety, and potential for wide-scale deployment. This Research Topic aims to unite pioneering research and innovative developments that harness non-invasive BCIs to enhance communication capabilities.
The scope of this Research Topic encompasses the entire spectrum of non-invasive BCI methodologies tailored for communication purposes. We seek to address the fundamental challenges, innovative solutions, and practical implementations pertaining to non-invasive brain signal acquisition, processing, and translation into communicative outputs. The intent is to highlight the interplay between cutting-edge technology, neuroscientific insights, and user-centered design to propel the field towards robust, reliable, and user-friendly communication solutions for those in need.
Topics to be Covered:
1. Signal Acquisition and Processing: Advances in non-invasive signal acquisition techniques, including EEG and fNIRS, alongside novel algorithms for signal noise reduction, feature extraction, and signal classification.
2. Machine Learning and AI Integration: The application of machine learning and AI in decoding brain signals for communication, focusing on enhancing accuracy, speed, and adaptability.
3. Neurofeedback and Training Protocols: Development of effective neurofeedback mechanisms and user training protocols that expedite learning and improve BCI control for communication purposes.
4. Multimodal BCIs: Exploring the integration of multiple non-invasive modalities to enhance the robustness and reliability of communication BCIs.
5. Noninvasive brain stimulation application in clinical research: Utilizing transcranial electric or magnetic stimulation to enhance or restore communication functions.
6. User Interface and Experience Design: Innovations in user interface design that optimize usability and accessibility for individuals with varying degrees of motor and cognitive impairments.
7. Real-world Applications and Case Studies: Empirical studies and reports on real-world applications of non-invasive communication BCIs, highlighting successes, challenges, and lessons learned.
8. New EEG hardware solutions: Usability, materials, and innovative designs to enhance the practical implementation of BCIs for communication outside the laboratory.
9. Ethical and Social Implications: Examination of the ethical considerations, societal impacts, and policy implications surrounding the deployment of non-invasive BCIs for communication.
The scope of this Research Topic encompasses the entire spectrum of non-invasive BCI methodologies tailored for communication purposes. We seek to address the fundamental challenges, innovative solutions, and practical implementations pertaining to non-invasive brain signal acquisition, processing, and translation into communicative outputs. The intent is to highlight the interplay between cutting-edge technology, neuroscientific insights, and user-centered design to propel the field towards robust, reliable, and user-friendly communication solutions for those in need.
Topics to be Covered:
1. Signal Acquisition and Processing: Advances in non-invasive signal acquisition techniques, including EEG and fNIRS, alongside novel algorithms for signal noise reduction, feature extraction, and signal classification.
2. Machine Learning and AI Integration: The application of machine learning and AI in decoding brain signals for communication, focusing on enhancing accuracy, speed, and adaptability.
3. Neurofeedback and Training Protocols: Development of effective neurofeedback mechanisms and user training protocols that expedite learning and improve BCI control for communication purposes.
4. Multimodal BCIs: Exploring the integration of multiple non-invasive modalities to enhance the robustness and reliability of communication BCIs.
5. Noninvasive brain stimulation application in clinical research: Utilizing transcranial electric or magnetic stimulation to enhance or restore communication functions.
6. User Interface and Experience Design: Innovations in user interface design that optimize usability and accessibility for individuals with varying degrees of motor and cognitive impairments.
7. Real-world Applications and Case Studies: Empirical studies and reports on real-world applications of non-invasive communication BCIs, highlighting successes, challenges, and lessons learned.
8. New EEG hardware solutions: Usability, materials, and innovative designs to enhance the practical implementation of BCIs for communication outside the laboratory.
9. Ethical and Social Implications: Examination of the ethical considerations, societal impacts, and policy implications surrounding the deployment of non-invasive BCIs for communication.
Keywords: BCI, communication, non invasive, EEG
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
