@inproceedings{dejesusElectroencephalographyNeuromarkersPredict2025,

title = {Electroencephalography Neuromarkers to Predict the Response of a Multisensory Virtual Reality Nature Immersion Intervention for Patients Diagnosed with Post-Traumatic Stress Disorder},

author = {B. De Jesus and M. Lopes and L. Perreault and M. -C. Roberge and A. A. De Oliveira and T. H. Falk},

url = {https://www.scopus.com/pages/publications/105033154892?origin=resultslist},

doi = {10.1109/SMC58881.2025.11342787},

isbn = {1062922X (ISSN); 979-833153358-8 (ISBN)},

year  = {2025},

date = {2025-01-01},

booktitle = {Conf. Proc. IEEE Int. Conf. Syst. Man Cybern.},

pages = {6033–6038},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Immersive virtual reality (VR) applications rapidly expand across domains, including training, gaming, and healthcare. More recently, multisensory immersive experiences, including olfactory and haptic stimulation, have emerged and shown great promise, especially for interventions in well-being and mental health management. Multisensory experiences, however, are very subjective (e.g., one subject may like certain smells, while others do not), and recent results have suggested that some participants may not respond positively to the treatment. As multisensory VR interventions can be costly and time-consuming for both patients and clinicians, being able to find neuromarkers that predict intervention outcomes would be invaluable. Here, we aim to take the first steps in the development of a neuromarker to predict the response to a multisensory nature immersion VR intervention. A pilot experiment was performed with twenty patients diagnosed with post-traumatic stress disorder. Potential neuromarkers are extracted from electroencephalography (EEG) signals measured from an instrumented VR headset. We show that some EEG patterns start to differ between responders and non-responders as early as the fourth session, i.e., one-third of the way into the entire intervention. This suggests that neuromarkers to predict the outcomes of a multisensory VR immersion intervention may exist. These markers could be used not only to save time and resources for clinicians and patients but also to promote precision treatment where interventions are adjusted to each patient, maximizing success rates. © 2025 IEEE.},

note = {Journal Abbreviation: Conf. Proc. IEEE Int. Conf. Syst. Man Cybern.},

keywords = {Biomedical signal processing, Diseases, Electroencephalography, electroencephalography (EEG), Electrophysiology, Haptics, Immersive, Immersive virtual reality, Multisensory, Nature immersion, Odors, Olfactory, Patient monitoring, Patient treatment, Post-traumatic stress disorder, Post-traumatic stress disorder (PTSD), posttraumatic stress disorder, virtual reality, virtual reality (VR)},

pubstate = {published},

tppubtype = {inproceedings}

}