Advanced Applications of Brain–Computer Interfaces in Neuroscience

Dear Colleagues,

In recent years, brain–computer interfaces (BCIs) have emerged as pioneering applications, becoming an ever growing field of the interplay between neuroscience, neuropsychology and advanced computer technology. This Special Issue aims to offer a compendium of innovative research and state-of-the-art advancements, unraveling the multifaceted tapestry of applications that BCIs offer in deciphering, understanding and leveraging the language of the human brain. Starting from a variety of approaches, this Special Issue will collect novel researches and applications from a wide spectrum of perspectives. From decoding neural signals for enhanced prosthetic control to leveraging BCIs as diagnostic tools in neurological conditions, this Special Issue will explore the many ways in which BCIs are reshaping the landscape of neuroscience.

A small (non-limiting) list of topics we are interested on covering are as follows:

• Cognitive Enhancement through BCIs: exploring the potential of BCIs in augmenting cognitive functions, such as memory enhancement and attention improvement.
• BCIs in Neurorehabilitation: examining the applications of BCIs in rehabilitation protocols for stroke survivors and individuals with neurological disorders, focusing on motor and cognitive recovery.
• Real-Time Neural Monitoring: discussing advancements in the real-time monitoring of neural activity using BCIs for understanding brain dynamics during various cognitive tasks.
• BCIs and Neurofeedback: investigating the use of BCIs for neurofeedback applications, particularly in the context of mental health and stress management.
• BCIs for Communication and Language Processing: analyzing the role of BCIs in facilitating communication for individuals with communication disorders and exploring language processing interfaces.
• BCIs and Virtual Reality: exploring the integration of BCIs with virtual reality technologies for immersive neurorehabilitation and cognitive training experiences.
• Neural Interface Design and User Experience: examining the design principles and user experience considerations in developing BCIs to ensure seamless integration into daily life.
• BCIs in Brain–Machine Collaborations: investigating collaborative efforts between the human brain and machines, focusing on applications in robotics, automation and other technological interfaces.
• BCIs and Neuroplasticity: assessing the impact of BCIs on neuroplasticity, exploring how neural interfaces can induce adaptive changes in the brain over time.
• BCIs in Neuropsychiatric Disorders: studying the potential therapeutic applications of BCIs in neuropsychiatric disorders, including applications in mood disorders and anxiety management.
• Neural Data Privacy and Security: discussing the challenges and strategies for ensuring the privacy and security of neural data collected through BCIs.
• BCIs and Cognitive Neuroscience Research: highlighting the contributions of BCIs to fundamental cognitive neuroscience research, including studies on perception, attention and decision-making.
• BCIs and Brain–Machine Learning Interfaces: exploring the intersection of BCIs and machine learning algorithms for developing adaptive and personalized neural interfaces.

Dr. Samuele Russo
Dr. Cristian Randieri
Dr. Francesco Beritelli
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• cognitive enhancement
• neurorehabilitation
• real-time neural monitoring
• virtual reality integration
• neural feedback
• neuroplasticity
• machine learning interfaces
• brain–machine collaboration