1. An interhemispheric frontoparietal network supports hypnotic states.
- Author
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Niedernhuber M, Schroeder AC, Lercher C, Bruegger M, Prates de Matos NM, Noreika V, and Lenggenhager B
- Subjects
- Humans, Male, Female, Adult, Young Adult, Consciousness physiology, Nerve Net physiology, Nerve Net diagnostic imaging, Attention physiology, Awareness physiology, Brain Mapping, Hypnosis, Electroencephalography, Parietal Lobe physiology, Frontal Lobe physiology
- Abstract
Understanding the neural substrate of altered conscious states is an important cultural, scientific, and clinical endeavour. Although hypnosis causes strong shifts in conscious perception and cognition, it remains largely unclear how hypnosis affects information processing in cortical networks. Here we manipulated the depth of hypnotic states to study information processing between cortical regions involved in attention and awareness. We used high-density Electroencephalography (EEG) to record resting-state cortical activity from 30 hypnosis experts during two hypnotic states with different depth. Each participant entered a light and a deep hypnotic state as well as two well-matched control states. Bridging top-down and lateralisation models of hypnosis, we found that interhemispheric frontoparietal connectivity distinguished hypnosis and control conditions, while no difference was found between the two hypnotic states. Using a graph-theoretic measure, we revealed that the amount of information passing through individual nodes (measured via betweenness centrality) is reduced during hypnosis relative to control states. Finally, we found that theta power was enhanced during hypnosis. Our result contributes to the current discussion around a role for theta power in bringing about hypnotic states, as well as other altered conscious states. Overall, our findings support the notion that altered top-down control in frontoparietal regions facilitates hypnosis by integrating information between cortical hemispheres., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2024
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