Highly effective verified lucid dream induction using combined cognitive-sensory training and wearable EEG: a multi-centre study
Jafarzadeh Esfahani, M.; Anna Christina Salvesen, L.; Picard-Deland, C.; Matzek, T.; Demsar, E.; van Buijtene, T.; Libucha, V.; Pedreschi, B.; Bernardi, G.; Zerr, P.; Adelhofer, N.; Schoch, S.; Carr, M.; Dresler, M.
Show abstract
The state of becoming aware that one is dreaming within an ongoing dream, referred to as lucid dreaming (LD), can occur spontaneously. Yet, since the occurrence of spontaneous LD is relatively rare, various methods have been proposed to induce LD. Existing scientific literature, however, has been constrained by either small sample sizes with limited generalizability, or by reliance on subjective measures without physiological signals. To address these limitations, we recorded verifiable LD using 2-channel EEG and an open-source dream engineering toolbox (Dreamento) in a large sample size of 60 participants collected across a multi-center study in the Netherlands (NL), Italy (IT), and Canada (CA). We employed a novel combination of the senses-initiated lucid dreaming (SSILD) method and a targeted lucidity reactivation (TLR) protocol. Our final sample consists of 60 participants who came twice to the lab for morning naps with a pre-sleep lucidity training paired with multimodal sensory cues (visual, auditory, tactile). Cues were presented again in REM sleep in one of the two naps (stimulation and sham conditions counterbalanced). This preprint reports results from NL and IT in 40 participants: we successfully induced signal-verified lucid dreams (SVLD) in 65% and 45% of NL and IT participants, respectively. Among these, 45% and 35% (NL and IT) of REM cueing and 35% and 15% (NL and IT) of REM sham sessions resulted in at least one SVLD. In NL, the REM cueing sessions yielded 37 predefined eye signals with an average continuously verified lucidity duration of 78.75 {+/-} 54.85 s. The REM sham sessions resulted in 15 eye signals in the presence of LD report (i.e, SVLD) and had an average duration of 47.80 {+/-} 22.49 s. In IT, 48 predefined eye signals were identified within REM cueing sessions, with an average overall duration (i.e., from the first to the last predefined eye signal) of 506.33 {+/-} 643.73 s and an average continuously verified (consecutive eye signals) duration of 91.13 {+/-} 70.87 s. In contrast, 10 predefined eye signals were identified during REM sham sessions, with an average overall duration of 546.5 {+/-} 744.58 s and a single continuously verified episode that lasted 20s. Preliminary findings suggest that REM cueing aids the initiation and maintenance of lucidity, facilitates objective estimation of LD duration, and increases dream control. Future research should focus on automating the tools we provided and conducting larger-scale fully automatised studies at home to further explore factors contributing to such high success rates.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Concentration-effect relationships of plasma caffeine on EEG delta power and cardiac autonomic activity during human sleep 95%
- Aperiodic neural activity distinguishes between phasic and tonic REM sleep 95%
- The effect of sleep continuity disruption on multimodal emotion processing and regulation: a laboratory-based, randomized, controlled experiment in good sleepers 95%
Similar papers in this journal
Similar papers in this journal
- Methodological approach to sleep state misperception in insomnia disorder: comparison between multiple nights of actigraphy recordings and a single night of polysomnography recording 96%
- Application of Down-Phase Targeted Auditory Stimulation During Sleep in a Home Setting: A Feasibility Study Across Seven Consecutive Nights 96%
- Neither fifty percent slow-wave sleep suppression nor fifty percent rapid eye movement sleep suppression does impair memory consolidation 95%
Similar papers in this journal
- The Dream Catcher experiment: Blinded analyses disconfirm markers of dreaming consciousness in EEG spectral power 94%
- Functional connectivity drifts during sleep as a marker of fluctuations in the level of consciousness 91%
- Rapid Eye Movement Sleep Displays Distinct Fractal Dynamics Between Phasic and Tonic States 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.