Dreaming represents a peculiar form of cognitive activity during sleep. On the basis of the well-known relationship between sleep and memory, there has been a growing interest in the predictive role of human brain activity during sleep on dream recall. Neuroimaging studies indicate that rapid eye movement (REM) sleep is characterized by limbic activation and prefrontal cortex deactivation. This pattern could explain the presence of emotional contents in dream reports. Furthermore, the morphoanatomical measures of amygdala and hippocampus predict some features of dream contents (bizarreness, vividness, and emotional load). More relevant for a general view of dreaming mechanisms, empirical data from neuropsychological and electroencephalographic (EEG) studies support the hypothesis that there is a sort of continuity between the neurophysiological mechanisms of encoding and retrieval of episodic memories across sleep and wakefulness. A notable overlap between the electrophysiological mechanisms underlying emotional memory formation and some peculiar EEG features of REM sleep has been suggested. In particular, theta (5–8 Hz) EEG oscillations on frontal regions in the pre-awakening sleep are predictive of dream recall, which parallels the predictive relation during wakefulness between theta activity and successful retrieval of episodic memory. Although some observations support an interpretation more in terms of an intraindividual than interindividual mechanism, the existing empirical evidence still precludes from definitely disentangling if this relation is explained by state- or trait-like differences.

EEG oscillations during sleep and dream recall: state-or trait-like individual differences? / Scarpelli, Serena; D’Atri, Aurora; Gorgoni, Maurizio; De Gennaro, Luigi; Ferrara, Michele. - ELETTRONICO. - (2017), pp. 47-56. [10.3389/978-2-88945-161-6].

EEG oscillations during sleep and dream recall: state-or trait-like individual differences?

Scarpelli, Serena;D’Atri, Aurora;Gorgoni, Maurizio;De Gennaro, Luigi;Ferrara, Michele
2017

Abstract

Dreaming represents a peculiar form of cognitive activity during sleep. On the basis of the well-known relationship between sleep and memory, there has been a growing interest in the predictive role of human brain activity during sleep on dream recall. Neuroimaging studies indicate that rapid eye movement (REM) sleep is characterized by limbic activation and prefrontal cortex deactivation. This pattern could explain the presence of emotional contents in dream reports. Furthermore, the morphoanatomical measures of amygdala and hippocampus predict some features of dream contents (bizarreness, vividness, and emotional load). More relevant for a general view of dreaming mechanisms, empirical data from neuropsychological and electroencephalographic (EEG) studies support the hypothesis that there is a sort of continuity between the neurophysiological mechanisms of encoding and retrieval of episodic memories across sleep and wakefulness. A notable overlap between the electrophysiological mechanisms underlying emotional memory formation and some peculiar EEG features of REM sleep has been suggested. In particular, theta (5–8 Hz) EEG oscillations on frontal regions in the pre-awakening sleep are predictive of dream recall, which parallels the predictive relation during wakefulness between theta activity and successful retrieval of episodic memory. Although some observations support an interpretation more in terms of an intraindividual than interindividual mechanism, the existing empirical evidence still precludes from definitely disentangling if this relation is explained by state- or trait-like differences.
2017
Brain Oscillations and Predictive Coding: What We Know and What We Should Learn
978-2-88945-161-6
dream; frontal cortex; theta activity; EEG topography; episodic memory; continuity hypothesis
02 Pubblicazione su volume::02a Capitolo o Articolo
EEG oscillations during sleep and dream recall: state-or trait-like individual differences? / Scarpelli, Serena; D’Atri, Aurora; Gorgoni, Maurizio; De Gennaro, Luigi; Ferrara, Michele. - ELETTRONICO. - (2017), pp. 47-56. [10.3389/978-2-88945-161-6].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/955924
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