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The influence of intentions on dream content

Julia Fechner, Maren Born, Massimiliano Mancini, Zeynep Akata, Philipp Haag, Susanne Diekelmann, Jan Born

SLEEP Advances January 1, 2024 DOI: 10.1093/sleepadvances/zpae088 (opens in new tab) via OpenAlex

Summary

AI-generated from the abstract

Unfinished intentions are more likely to appear in dreams than completed ones. In a sleep laboratory study, 19 participants received three tasks before sleep: one they completed, one they planned to do the next morning, and one they were interrupted from and told to resume later. Dream reports collected after awakenings were analyzed using a transformer-based method that measured semantic similarity between dream content and the tasks. Dreams showed significantly greater similarity to uncompleted and interrupted tasks than to the completed task. Active intentions, whether unfulfilled or interrupted, increase the likelihood that dream content will be semantically related to those intentions.

Study at a glance

Characteristics Observational cohort Peer reviewed
Sample size 19
Population Healthy adults (10 women, 9 men)
Interventions task plans (completed uncompleted interrupted)
Duration One adaptation night and one experimental night with multiple awakenings
Keywords Dream Content measure theory Psychology Mathematics Psychotherapist
Citations 1
Key finding Active intentions (uncompleted or interrupted tasks) are more likely to be semantically incorporated into dream content than completed intentions.

Abstract

Abstract Study Objectives The “Zeigarnik effect” refers to the phenomenon where future intentions are remembered effectively only as long as they are not executed. This study investigates whether these intentions, which remain active during sleep, influence dream content. Methods After an adaptation night, each of the 19 participants (10 women and 9 men) received three different task plans in the evening before the experimental night, each describing how to perform specific tasks. One of the task plans (completed) was then to be executed before the sleep period, another task (uncompleted) was told to be executed in the next morning, and on the third task (interrupted) participants were interrupted during the enactment before sleep and told to resume it the next morning. Polysomnography and multiple awakenings were conducted, resulting in 86 dream reports, 36 in NREM stage 2, and 50 in rapid eye movement sleep. After a traditional rating-based analysis of dream reports yielded inconsistent results, we analyzed the reports using a transformer-based assessment of dream incorporation, which quantified the semantic similarity between the dreams and pre-sleep tasks. Results The number of dreams showing above-criterion similarity to the respective task was significantly lower for the completed than the uncompleted or interrupted tasks (p < .05, χ2 test). This pattern was confirmed through a forced choice approach, where—based on the similarity of single sentences of the dream reports—each dream report was allocated to one of the three task plans (p < 0.01, one-tailed χ2 test). Conclusions Active intentions increase the likelihood of dream content being semantically similar to these intentions.

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