The bridge between the physical and dreamed body
Open Access CRIS of the University of Bern 2026 DOI: 10.48620/94825 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Dissertation comprising laboratory studies, a proof-of-concept, and an integrative review Peer reviewed |
|---|---|
| Population | Lucid and non-lucid dreamers during REM sleep |
| Interventions | Electrical muscle stimulation Galvanic vestibular stimulation Haptic stimulation |
| Key findings | Argues that the dream body is permeable and embodied, rooted in physiology yet active in simulation. External somatosensory cues can enter dreams, though sham-controlled incorporation showed no clear modality advantage, and vestibular stimulation may indirectly foster lucidity. Lucid dreamers successfully transmitted pre-arranged eye-movement answers during REM sleep, and the authors propose lucid dreams as a controllable simulation for mental rehearsal, contingent on more reliable induction. |
Abstract
This dissertation maps the bridge between the physical and dreamed body. I examine how physiology, sensory stimulation, lucid awareness, and dream control interact during sleep, framing it as a bidirectional dream–body interface (DBI). Across four works — two laboratory studies, a communication proof-of-concept, and an integrative review — I map how external signals enter dreams, how these signals can elicit lucidity, how lucid dreamers transmit information outward, and how these exchanges may support skill learning. Paper 1 investigates whether somatosensory stimulation is transferred to the dream body. In a sham-controlled, within-participant study, electrical muscle stimulation (EMS), galvanic vestibular stimulation (GVS), and haptic stimulation (HS) were delivered in REM sleep. Blinded ratings captured modality-relevant incorporations in dreams (movement, sensation, balance). Incorporations occurred across conditions, but no modality clearly outperformed the sham, highlighting the importance of expectancy effects and the need for stricter controls and reporting standards. Paper 2 evaluates whether somatosensory cues can elicit lucidity when combined with a presleep training protocol. Counterbalanced stimulation versus no-stimulation naps followed association training, journaling, and reality checks. EMS produced more direct cue recognition; GVS increased balance-related content and elevated subjective lucidity. Signal-verified lucid dreams occurred after stimulation, suggesting different mechanisms: EMS for direct and explicit signal detection, and GVS for indirect vestibular dream content that favors lucidity. Paper 3 demonstrates two-way communication from lucid REM sleep using EMS prompts and pre-arranged eye-movement responses. Multiple trials resulted in correct, time-locked answers while sleep continued, demonstrating the feasibility and its boundaries. Paper 4 synthesizes evidence that lucid dreams provide a controllable, embodied simulation suitable for mental rehearsal. Overlaps with wakeful imagery and autonomic signatures support lucid dream motor practice, while scaling applications depend on more reliable induction and control. These studies recast the dream body as permeable and embodied, rooted in the physical body and active in simulation. External cues can enter dreams, lucidity can be induced, signals can pass between sleep and wake, and dream actions can recruit waking physiology. The dream-body interface (DBI) is the core framework, locating where interventions work and guiding measurement, manipulation, and application. Across the dissertation, we move stepwise: establish the bridge, test its permeability, send messages across, and then explore the dream side. The map of the bridge is not yet finished, but each crossing clarifies its structure and the environment it connects.