Enhanced EEG-Based Tracking of DMN Activity Using ICA and EEG Source Localization for a VR Psychedelic Environment
International IEEE/EMBS Conference on Neural Engineering November 11, 2025 Parv Chordiya, Leon Lange, Y. C. Wu
A brain-computer interface within a virtual reality environment can modulate Default Mode Network activity by targeting the Posterior Cingulate Cortex. An EEG processing pipeline combining Independent Component Analysis with source localization derived a subject-specific spatial filter from resting-state data, applied during a virtual psychedelic experience. Compared to traditional parietal-EEG channel selection, the PCC-filtered method revealed significantly enhanced spectral differentiation between baseline and VR states, including a greater decrease in alpha power and increase in delta power during the virtual hallucination, and a larger dynamic range in both alpha and delta power modulations in response to VR scene changes. This approach offers a more sensitive measure of DMN dynamics for closed-loop BCI systems.