ReviewTrends in cognitive sciences2024
New strategies for the cognitive science of dreaming.
Review in Trends in cognitive sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Dreaming during anaesthesia: a scoping review.British journal of anaesthesia · 2026Article
- Individual traits and experiences predict the content of dreams.Communications psychology · 2026Article
- Using Real-time Reporting to Investigate Visual Experiences in Dreams.Journal of cognitive neuroscience · 2026Article
- Targeted dream incubation at sleep onset can influence later dream content in REM sleep: a pilot study.Frontiers in sleep · 2026Article
- Creative problem-solving after experimentally provoking dreams of unsolved puzzles during REM sleep.Neuroscience of consciousness · 2026Article
- Investigating dreams by strategically presenting sounds during REM sleep to reactivate waking experiences.Neuropsychologia · 2025Article
- Memory, Sleep, Dreams, and Consciousness: A Perspective Based on the Memory Theory of Consciousness.Nature and science of sleep · 2025Article
- Provoking lucid dreams at home with sensory cues paired with pre-sleep cognitive training.Consciousness and cognition · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Dreams have long captivated human curiosity, but empirical research in this area has faced significant methodological challenges. Recent interdisciplinary advances have now opened up new opportunities for studying dreams. This review synthesizes these advances into three methodological frameworks and describes how they overcome historical barriers in dream research. First, with observable dreaming, neural decoding and real-time reporting offer more direct measures of dream content. Second, with dream engineering, targeted stimulation and lucidity provide routes to experimentally manipulate dream content. Third, with computational dream analysis, the generation and exploration of large dream-report databases offer powerful avenues to identify patterns in dream content. By enabling researchers to systematically observe, engineer, and analyze dreams, these innovations herald a new era in dream science.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.