Closed-loop BCI-VR Integration: A Paradigm Shift in Precision Neuromodulation for specific
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Closed-loop BCI-VR Integration: A Paradigm Shift in Precision Neuromodulation for specific

Chunyan Wu 1*
1 Jiangsu Tianyi High School
*Corresponding author: chunyanwu261@gmail.com
Published on 28 October 2025
Journal Cover
ACE Vol.201
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-80590-493-9
ISBN (Online): 978-1-80590-494-6
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Abstract

Specific phobia is one of the most common anxiety disorders, with a global lifetime prevalence of approximately 7.4%. Existing treatments such as exposure therapy and cognitive-behavioral therapy are effective but often limited by high dropout rates, subjective evaluation, and constrained real-world applicability. This paper introduces a novel closed-loop brain–computer interface (BCI) and virtual reality (VR) integrated framework for precision neuromodulation in the treatment of specific phobias. The system utilizes real-time Electroencephalography (EEG) decoding to dynamically adjust immersive VR exposure scenarios based on individual physiological responses. Clinical evaluations involving patients with acrophobia and claustrophobia demonstrated significant reductions in subjective fear ratings and physiological arousal, with over 86% of participants showing improved adaptive responses. These results indicate that the BCI-VR closed-loop system enables quantifiable, personalized, and scalable intervention, offering a promising paradigm shift toward more accessible and effective phobia treatment. Further development may facilitate remote therapy applications and enhance treatment adherence through automated and adaptive neuromodulation.

Keywords:

BCI, Virtual reality, Specific phobia, EEG

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Wu,C. (2025). Closed-loop BCI-VR Integration: A Paradigm Shift in Precision Neuromodulation for specific. Applied and Computational Engineering,201,54-62.

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Cite this article

Wu,C. (2025). Closed-loop BCI-VR Integration: A Paradigm Shift in Precision Neuromodulation for specific. Applied and Computational Engineering,201,54-62.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-FMCE 2025 Symposium: Semantic Communication for Media Compression and Transmission

ISBN: 978-1-80590-493-9(Print) / 978-1-80590-494-6(Online)
Editor: Anil Fernando
Conference date: 24 October 2025
Series: Applied and Computational Engineering
Volume number: Vol.201
ISSN: 2755-2721(Print) / 2755-273X(Online)