CC BY-NC-ND 4.0 · Sleep Sci 2022; 15(02): 149-157
DOI: 10.5935/1984-0063.20220035
ORIGINAL ARTICLES

‘I love you’: the first phrase detected from dreams

1   REMspace, Phase Research Center - Novorossiysk - Krasnodar Krai - Russia.
› Author Affiliations

Objective Many people have dreams nightly and some maintain consciousness during dreams. Such dreams are referred to as lucid dreams (LD). During dreams, our speech correlates with facial muscle activity, which is hard to decode, but LD could solve this problem. The primary hypothesis of this study was that the facial muscles electric activity during LD corresponds to specific sounds. Understanding this connection could help decode dream speech in the future.

Material and Methods Under laboratory conditions, four LD practitioners were asked to say “I love you”, a phrase with a distinctive electromyographic (EMG) signature. They did this before falling asleep and then again after becoming conscious during a dream. Their facial and neck EMG was recorded in four areas.

Results All four volunteers accomplished the goal at least once. The patterns associated with the “I love you” phrase were observed in most cases, both during wakefulness and LD. Specifically, the “I” triggered distinctive phasic activity in the submentalis area most of the time, while “you” did the same in the orbicularis oris.

Discussion This study highlights the possibility of detecting only specific and highly EMG distinctive phrases from dreams because vocalization also involves a tong and vocal apparatus. The most interesting consequence of the present results is that they indicate the possibility of creating an artificial EMG language that could be instantly decoded in reality and used during LD.



Publication History

Received: 25 June 2021

Accepted: 13 October 2021

Article published online:
01 December 2023

© 2023. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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