AI Article Synopsis
- A study compared 20 anxious neurotic women with 25 normal women (split into low and high anxiety groups) to analyze dream report content.
- The analysis showed that anxiety levels affected both how dreams were reported and their content, with anxious patients experiencing more aggression in their dreams.
- There were significant correlations between dream content and daytime attitudes across all groups, supporting the 'continuity' hypothesis, which suggests that dreams reflect waking thoughts and feelings.
Article Abstract
Twenty female anxious neurotic patients were compared with 25 normal female volunteers, divided into a low anxious normal and a high anxious group, with respect to dream report content. Dream reports were analysed using an objective and reliable method and were correlated with the day-time attitudes of the subjects measured by Semantic Differential techniques. Anxiety levels influenced both dream reporting and dream content. In particular, aggression towards the dreamer was more common in the anxious patients. Significant correlations were found in all groups between dream content and daytime attitudes. The results were consistent with the 'continuity' hypothesis of dream function.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1017/s0033291700014343 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Assessment of human emotional reactions to visual stimuli "deep-dreamed" by artificial neural networks.
Front Psychol
December 2024
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States.
Introduction: While the fact that visual stimuli synthesized by Artificial Neural Networks (ANN) may evoke emotional reactions is documented, the precise mechanisms that connect the strength and type of such reactions with the ways of how ANNs are used to synthesize visual stimuli are yet to be discovered. Understanding these mechanisms allows for designing methods that synthesize images attenuating or enhancing selected emotional states, which may provide unobtrusive and widely-applicable treatment of mental dysfunctions and disorders.
Methods: The Convolutional Neural Network (CNN), a type of ANN used in computer vision tasks which models the ways humans solve visual tasks, was applied to synthesize ("dream" or "hallucinate") images with no semantic content to maximize activations of neurons in precisely-selected layers in the CNN.
The influence of intentions on dream content.
Sleep Adv
November 2024
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany.
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.
Dream and its interpretation: scientific perspective.
Intern Emerg Med
January 2025
Neurology Unit, Internal Medicine Department, Alex Ekwueme Federal University Teaching Hospital, Abakaliki (AEFUTHA), Ebonyi State, Nigeria.
Dream is a mental activity that occurs during sleep. Its interpretation is common practice in many African cultures and this role is vested in unqualified persons, such as diviners, priests, and healers. Their unprofessional activities have led to dangerous consequences, such as anxiety, depression, loss of material possessions, bodily harm, family, or community conflicts, or even death.
View Article and Find Full Text PDFSynergistical assistance - combining artefactual and human assistive resources to reach desired outcomes.
Disabil Rehabil Assist Technol
January 2025
Department of Design Sciences, Lund University, Lund, Sweden.
Purpose: Assistance from artefacts and humans are traditionally viewed as separate, and it is often up to the individual to try to combine the different kinds of assistance to suit their needs and preferences. The purpose of this study was to gain new insights into the co-existence of and synergies between artefactual and human assistance in the everyday lives of persons with physical and cognitive impairments, through exploring and analysing narratives of individuals who have first-hand knowledge and experience.
Methods: Seven individuals took part in semi-structured interviews, which were then analysed with qualitative content analysis, grounded in cultural-historical activity theory.
Memory updating in dreams.
Sleep Adv
December 2024
Department of Psychology and Program in Neuroscience, Furman University, Greenville, SC, USA.
Robert Stickgold's research was among the earliest to rigorously quantify the effect of learning on dream content. As a result, we learned that dreaming is influenced by the activation of newly formed memory traces in the sleeping brain. Exactly how this happens is an ongoing area of investigation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!