ArticleProceedings of the National Academy of Sciences of the United States of America2022
Predictive coding, multisensory integration, and attentional control: A multicomponent framework for lucid dreaming.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Lucid Dreaming Frequency Associated With Grey-White Matter Networks: An Exploratory Multimodal MRI Study.Journal of sleep research · 2026Article
- Creative problem-solving after experimentally provoking dreams of unsolved puzzles during REM sleep.Neuroscience of consciousness · 2026Article
- How golden age Arab-Islamic scholars revolutionized sleep physiology and dream analysis.Journal of Taibah University Medical Sciences · 2025Review
- Electrophysiological Correlates of Lucid Dreaming: Sensor and Source Level Signatures.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Heartbeat-related activity in the anterior thalamus differs between phasic and tonic REM sleep.The Journal of physiology · 2025Article
- The futuristic manifolds of REM sleep.Journal of sleep research · 2025Review
- Article
- To be or not to be hallucinating: Implications of hypnagogic/hypnopompic experiences and lucid dreaming for brain disorders.PNAS nexus · 2024Article
- The functions of sleep: A cognitive neuroscience perspective.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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3 authors.
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Abstract
Lucid dreaming (LD) is a mental state in which we realize not being awake but are dreaming while asleep. It often involves vivid, perceptually intense dream images as well as peculiar kinesthetic sensations, such as flying, levitating, or out-of-body experiences. LD is in the cross-spotlight of cognitive neuroscience and sleep research as a particular case to study consciousness, cognition, and the neural background of dream experiences. Here, we present a multicomponent framework for the study and understanding of neurocognitive mechanisms and phenomenological aspects of LD. We propose that LD is associated with prediction error signals arising during sleep and occurring at higher or lower levels of the processing hierarchy. Prediction errors are resolved by generating a superordinate self-model able to integrate ambiguous stimuli arriving from sensory periphery and higher-order cortical regions. While multisensory integration enables lucidity maintenance and contributes to peculiar kinesthetic experiences, attentional control facilitates multisensory integration by dynamically regulating the balance between the influence of top-down mental models and the precision weighting of bottom-up sensory inputs. Our novel framework aims to link neural correlates of LD with current concepts of sleep and arousal regulation and provide testable predictions on interindividual differences in LD as well as neurocognitive mechanisms inducing lucid dreams.
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