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Dreaming: all studies

Page 186 of 360: studies 1,851 to 1,860 of 3,593, newest first. Back to the dreaming overview

Research

Rethinking Wearability: When the Pillow Wears the Dreamer: Toward Intimate Interfaces and Passive Wearable Futures

UbiComp Companion October 12, 2025 Edwina Portocarrero, Zsófia Lévai

This paper reimagines wearability by exploring how objects might engage the body through relational intimacy rather than attachment, and explores personalization not as a feature, but as an ontological function. We introduce PillowTalk 2.0, a sleep-based interface designed for dream recall as a design case. Unlike conventional wearables that assume an active, data-driven user, PillowTalk 2.0...

Investigating dreams by strategically presenting sounds during REM sleep to reactivate waking experiences.

Neuropsychologia October 10, 2025 Karen R Konkoly, Daniel J Morris, Matthew Cho et al.

Dreams may partially reflect the memory reorganizing that occurs nightly, improving the usefulness of what we learn each day. However, solid evidence has yet to link dreaming with adaptive overnight memory reorganization. Establishing this link faces several challenges, including the difficulty of experimentally controlling dream content and the susceptibility of dream reports to distortion and...

Dream2Image : An Open Multimodal EEG Dataset for Decoding and Visualizing Dreams with Artificial Intelligence

arXiv (Cornell University) October 3, 2025 Yann Bellec preprint

Dream2Image is the world's first dataset combining EEG signals, dream transcriptions, and AI-generated images. Based on 38 participants and more than 31 hours of dream EEG recordings, it contains 129 samples offering: the final seconds of brain activity preceding awakening (T-15, T-30, T-60, T-120), raw reports of dream experiences, and an approximate visual reconstruction of the dream. This...

DOI: 10.48550/arxiv.2510.06252 (opens in new tab) Full text (opens in new tab) Dream Electroencephalography Decoding methods Brain–computer interface +9

Vividness of mental imagery reflects a broad range of internally generated visual experiences

bioRxiv (Cold Spring Harbor Laboratory) October 2, 2025 D. Samuel Schwarzkopf, Xinran A Yu, Ecem Altan et al. preprint

Abstract Research on mental visual imagery typically relies on vividness ratings. However, vividness is ill-defined as it lacks an objective reference. Here, we present survey results that suggest vividness is nevertheless a robust measure. It explains individual differences of a broad range of subjective experiences, from the detail of mental imagery, the propensity to report having other...

DOI: 10.1101/2025.09.30.679629 (opens in new tab) Full text (opens in new tab) Mental image Trait Creative visualization Visual perception +2

Designing Sleepzy: A Mobile Interface for Lucid Dream Induction via Smart Pillow Technology

BRIDGING FRONTIERS: INTERDISCIPLINARY RESEARCH FOR SUSTAINABLE PROGRESS October 1, 2025 DN Wickramasinghe, SIL Ratnayake, SN Lekamalage et al.

With the world understanding the importance of healthy sleep to a one’s livelihood, smart pillows designed for sleep monitoring and sensory stimulation have emerged to satisfy these needs. However, these systems often lack a customizable, application that helps to cater to user specific needs. Existing applications focus on passive monitoring rather than active enhancement. This paper proposes...

[Parasomnias Excluded RBD].

Brain and nerve = Shinkei kenkyu no shinpo October 2025 Takashi Nomura

Parasomnia is an undesirable physical phenomena that occurs during sleep and is classified into three groups: non-rapid eye movement (REM), REM, and other parasomnias. Non-REM parasomnias that occur during non-REM sleep include wakefulness disorders, including confusional arousal, sleepwalking, sleep terrors, and newly added sleep-related eating disorders. REM sleep parasomnias related to dream...

The Future of Parasomnias.

Journal of Sleep Research October 1, 2025 Claudia Picard-Deland, Matteo Cesari, Ambra Stefani et al.

Parasomnias are abnormal behaviours or mental experiences during sleep or the sleep-wake transition. As disorders of arousal (DOA) or REM sleep behaviour disorder (RBD) can be difficult to capture in the sleep laboratory and may need to be diagnosed in large communities, new home diagnostic devices are being developed, including actigraphy, EEG headbands, as well as 2D infrared and 3D time of...

DOI: 10.1111/jsr.70090 (opens in new tab) Full text (opens in new tab) Parasomnia Big data Computerised methods Home video +1

How golden age Arab-Islamic scholars revolutionized sleep physiology and dream analysis.

Journal of Taibah University Medical Sciences October 1, 2025 Ahmed S BaHammam

Medieval Arab-Islamic scholars (7th-13th centuries CE) made pivotal but underacknowledged contributions to sleep science, blending empirical observation with theological insight. This review examines primary texts, especially al-Rāzī's al-Ḥāwī fī al-Ṭibb and Ibn Sīnā's Canon of Medicine, alongside secondary literature to illuminate their advanced understanding of sleep physiology, disorders,...

DOI: 10.1016/j.jtumed.2025.07.013 (opens in new tab) Full text (opens in new tab) Al-rāzī Arab civilizationِ Dreams Ibn sīnā +3

Sweet Dreams Are Made of These: Investigating the Neural Mechanisms of Dream Traits and States

September 30, 2025 Mariana Pereira

Dreaming is a universal yet poorly understood phenomenon. This thesis investigates the neural mechanisms of dream traits and states using multimodal neuroimaging, including structural and functional MRI, diffusion imaging, and simultaneous EEG/fMRI. By addressing methodological challenges and leveraging large-scale datasets, the studies provide novel insights into the neural correlates of dream...

Using Real-time Reporting to Investigate Visual Experiences in Dreams

Journal of Cognitive Neuroscience September 30, 2025 Karen R Konkoly, Saba Al-Youssef, Christopher Y Mazurek et al. 3 citations

Neuroscientific investigations of human dreaming have been hampered by reliance on dream recall after awakening. For example, a challenge of associating EEG features with post-waking dream reports is that they are subject to distortion, forgetting, and poor temporal precision. In this study, we used real-time reporting to investigate whether one of the most robust features of the waking visual...