Multimodal Ganzfeld-induced visual experiences are associated with alongside mental experiences and distinct EEG microstate dynamics
Xinlin Wang, Yannick Pomorin, Emma Peters, Daniel Erlacher, Thomas Koenig
bioRxiv (Cold Spring Harbor Laboratory) August 31, 2026 preprint DOI: 10.64898/2026.08.28.747793 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational cohort |
|---|---|
| Population | Participants exposed to multimodal Ganzfeld stimulation |
| Key findings | Visual complexity during Ganzfeld was related to perceptual belief, prediction-perception mismatch, active updating, and prior mentation, with distinct patterns for simple versus complex experiences. These were accompanied by distinct, often nonlinear, dynamics in brain networks for visual processing, salience detection, and internal cognition. |
Abstract
Abstract During wakefulness, we are used to perceive the environment through our senses, act on it and take these inputs to update our experiences and build the perceptions. When the inputs are not longer accurate or structured, people would sometimes have hallucinatory experiences. Whether such experiences are associated with distinct patterns of thought, and how they relate to large-scale brain dynamics, remains unclear. To address these questions, we combined experience sampling protocol with EEG recording during multimodal Ganzfeld, where participants were exposed to unstructured, uniform visual and auditory stimulation. Participants repeatedly reported the complexity of their visual experiences together with ongoing thoughts related to perceptual belief, prediction–perception mismatch, active updating, and prior mentation. EEG microstates were extracted to characterize the temporal dynamics of large-scale brain networks. We found that visual complexity was related to all four dimensions, but partly distinct in simple and complex visual experiences. These phenomenological changes were accompanied by distinct, and often nonlinear, dynamics of large-scale brain networks involved in visual processing, salience detection, and internally directed cognition. It also indicates that this paradigm might be a valuable model for investigating the mechanisms underlying hallucinatory experiences in psychosis.