Lucid Dreaming Reveals a New Layer of Conscious Brain Activity

Summary: Lucid dreaming, where people become aware they are dreaming, has long fascinated both scientists and dreamers. A new study with the largest dataset of its kind has identified distinct brain activity patterns that separate lucid dreaming from both REM sleep and wakefulness.

The research reveals unique shifts in perception, memory, and self-awareness that occur during this rare conscious state within sleep. These findings challenge the traditional boundary between wakefulness and sleep, suggesting consciousness can emerge entirely from within the dream state.

Key Facts:

  • Unique Brain Activity: Lucid dreaming shows neural patterns distinct from REM sleep and wakefulness.
  • Self-Awareness in Sleep: Brain regions linked to cognitive control and self-perception are more active.
  • Consciousness Redefined: The study supports the idea that consciousness can arise during sleep without waking.

Source: SfN

Lucid dreaming is a surreal phenomenon in which people are consciously aware that they are in a dream. Çağatay Demirel, from Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, and colleagues shed light on the neural correlates of lucid dreaming in their Journal of Neuroscience paper.  

The researchers used a rigorous processing pipeline as they collected and assembled data from multiple labs to create what is, according to the authors, the largest sample size to date for this field of research.

This shows clouds and a brain.
Comparisons of brain activity during lucid dreaming, rapid eye movement sleep, and wakefulness revealed distinct activity patterns for lucid dreaming. Credit: Neuroscience News

Comparisons of brain activity during lucid dreaming, rapid eye movement sleep, and wakefulness revealed distinct activity patterns for lucid dreaming.

These unique patterns reflect shifts in brain region activation and how brain regions communicate that may be linked to changes in perception, memory processing, self-awareness, and cognitive control.

According to Demirel, “This research opens the door to a deeper understanding of lucid dreaming as an intricate state of consciousness by pointing to the possibility that conscious experience can arise from within sleep itself.

“This work offers a perspective that could challenge the traditional binary view of sleep and wakefulness in future research.” 

About this lucid dreaming and consciousness research news

Author: SfN Media
Source: SfN
Contact: SfN Media – SfN
Image: The image is credited to Neuroscience News

Original Research: Closed access.
Electrophysiological Correlates of Lucid Dreaming: Sensor and Source Level Signatures” by Çağatay Demirel et al. Journal of Neuroscience


Abstract

Electrophysiological Correlates of Lucid Dreaming: Sensor and Source Level Signatures

Lucid dreaming (LD) is a state of conscious awareness of the ongoing oneiric state, predominantly linked to REM sleep.

Progress in understanding its neurobiological basis has been hindered by small sample sizes, diverse EEG setups, and artifacts like saccadic eye movements.

To address these challenges in the characterization of the electrophysiological correlates of LD, we introduced an adaptive multi-stage preprocessing pipeline, applied to human data (male and female) pooled across laboratories, allowing us to explore sensor- and source-level markers of LD.

We observed that, while sensor-level differences between LD and non-lucid REM sleep were minimal, mixed-frequency analysis revealed broad low-alpha to gamma power reductions during LD compared to wakefulness.

Source-level analyses showed significant beta power (12-30 Hz) reductions in right central and parietal areas, including the temporo-parietal junction, during LD.

Moreover, functional connectivity in the alpha band (8-12 Hz) increased during LD compared to non-lucid REM sleep. During initial LD eye signaling compared to baseline, source-level gamma1 power (30-36 Hz) increased in right temporo-occipital regions, including the right precuneus.

Finally, functional connectivity analysis revealed increased inter-hemispheric and inter-regional gamma1 connectivity during LD, reflecting widespread network engagement.

These results suggest that distinct source-level power and connectivity patterns characterize the dynamic neural processes underlying LD, including shifts in network communication and regional activation that may underlie the specific changes in perception, memory processing, self-awareness, and cognitive control.

Taken together, these findings illuminate the electrophysiological correlates of LD, laying the groundwork for decoding the mechanisms of this intriguing state of consciousness.

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  1. It’s becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman’s Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with only primary consciousness will probably have to come first.

    What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990’s and 2000’s. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I’ve encountered is anywhere near as convincing.

    I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there’s lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order.

    My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar’s lab at UC Irvine, possibly. Dr. Edelman’s roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461, and here is a video of Jeff Krichmar talking about some of the Darwin automata, https://www.youtube.com/watch?v=J7Uh9phc1Ow

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