A New Measure of Hallucinatory States and a Discussion of REM Sleep Dreaming as a Virtual Laboratory for the Rehearsal of Embodied Cognition

Clemens Speth (Lead / Corresponding author), Jana Speth

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Hallucinatory states are experienced not only in connection with drugs and psychopathologies but occur naturally and spontaneously across the human circadian cycle: Our nightly dreams bring multimodal experiences in the absence of adequate external stimuli. The current study proposes a new, tighter measure of these hallucinatory states: Sleep onset, REM sleep, and non-REM sleep are shown to differ with regard to (a) motor imagery indicating interactions with a rich imaginative world, and (b) cognitive agency that could enable sleepers to recognize their hallucinatory state. Mentation reports from the different states were analysed quantitatively with regard to two grammatical-semantic constructs, motor agency and cognitive agency. The present results support earlier physiological and psychological evidence in revealing a decline in cognitive functions and an increase in simulated interactions with a hallucinatory world, en route to normal REM sleep. This leads us to introduce the hypothesis that REM sleep, which exhibits remarkably high levels of (simulated) sensorimotor processes, may have evolved to serve as a virtual laboratory for the development and rehearsal of embodied cognition. The new measure of hallucinatory states presented here may also hold implications for the study of executive functions and (meta-)cognitions, which might be interesting, for example, for the investigation of lucid dreaming.

Original languageEnglish
Pages (from-to)311-333
Number of pages23
JournalCognitive Science
Volume42
Issue number1
Early online date6 Jun 2017
DOIs
Publication statusPublished - 25 Jan 2018

Keywords

  • AIM model
  • Consciousness
  • Dream
  • Hallucination
  • Linguistics
  • Lucid
  • Mentation reports

ASJC Scopus subject areas

  • Language and Linguistics
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Artificial Intelligence

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