Cerebral cortex (New York, N.Y. : 1991)
August 22, 2022
Perrine Ruby, Rémy Masson, Benoit Chatard et al.
Event-related potentials (ERPs) associated with the involuntary orientation of (bottom-up) attention toward an unexpected sound are of larger amplitude in high dream recallers (HR) than in low dream recallers (LR) during passive listening, suggesting different attentional functioning. We measured bottom-up and top-down attentional performance and their cerebral correlates in 18 HR (11 women,...
Nature and Science of Sleep
2022
Raphael Vallat, Başak Türker, Alain Nicolas et al.
Several results suggest that the frequency of dream recall is positively correlated with personality traits such as creativity and openness to experience. In addition, neuroimaging results have evidenced different neurophysiological profiles in high dream recallers (HR) and low dream recallers (LR) during both sleep and wakefulness, specifically within regions of the default mode network (DMN)....
Sleep
December 14, 2020
Raphael Vallat, Alain Nicolas, Perrine Ruby
Why do some individuals recall dreams every day while others hardly ever recall one? We hypothesized that sleep inertia-the transient period following awakening associated with brain and cognitive alterations-could be a key mechanism to explain interindividual differences in dream recall at awakening. To test this hypothesis, we measured the brain functional connectivity (combined...
Frontiers in Psychology
November 15, 2019
Raphael Vallat, Perrine Marie Ruby
32 citations
International audience
Scientific Reports
October 30, 2019
Jane Plailly, Manon Villalba, Raphael Vallat et al.
42 citations
Abstract The question of a possible link between dream content and memory consolidation remains open. After a comprehensive review of the literature, we present novel findings from an experiment testing whether the incorporation of recently learned stimuli into dream reports is associated with improved post-sleep memory performance. Thirty-two high dream recallers freely explored new...
Journal of Sleep Research
October 1, 2018
Raphael Vallat, Mickael Eskinazi, Alain Nicolas et al.
There is a lack of up-to-date data on sleep and dream habits of college students. To fill in this gap, we used an online questionnaire sent to the student mailing lists of two major universities of Lyon (Lyon 1 and Lyon 2) for the recruitment of an functional magnetic resonance imaging study with sleep disorders as exclusion criteria. In the sample (1,137 French college students, 411 males,...
Frontiers in Psychology
2018
Raphael Vallat, Jean-Baptiste Eichenlaub, Alain Nicolas et al.
Recent findings indicate that dream recall frequency (DRF) is associated with neurophysiological traits, and notably the regional cerebral blood flow at rest within the medial prefrontal cortex (MPFC) and the temporo-parietal junction (TPJ). To test whether, such physiological traits are rooted in anatomical specificities, we used voxel-based morphometry to compare the white matter and gray...
PLoS One
October 11, 2017
Raphael Vallat, Benoit Chatard, Mark Blagrove et al.
60 citations
Several studies have demonstrated that dream content is related to the waking life of the dreamer. However, the characteristics of the memory sources incorporated into dreams are still unclear. We designed a new protocol to investigate remote memories and memories of trivial experiences, both relatively unexplored in dream content until now. Upon awakening, for 7 days, participants identified...
Frontiers in Human Neuroscience
2017
Raphael Vallat, Tarek Lajnef, Jean-Baptiste Eichenlaub et al.
High dream recallers (HR) show a larger brain reactivity to auditory stimuli during wakefulness and sleep as compared to low dream recallers (LR) and also more intra-sleep wakefulness (ISW), but no other modification of the sleep macrostructure. To further understand the possible causal link between brain responses, ISW and dream recall, we investigated the sleep microstructure of HR and LR,...
Arna Ghosh, Arthur Dehgan, Tarek Lajnef et al.
Dreams and our ability to recall them are among the most puzzling questions in sleep research. Specifically, putative differences in brain network dynamics between individuals with high versus low dream recall rates, are still poorly understood. In this study, we addressed this question as a classification problem where we applied deep convolutional networks (CNN) to sleep EEG recordings to...