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Previous experiments combining cognitive techniques and sleep disruption have been relatively successful in inducing at-home lucid dreams over training periods of 1-week or more. Here, we induce lucid dreams in a single laboratory nap session by pairing cognitive training with external stimulation. Participants came to the laboratory at 7:30 am or 11:00 am and during polysomnography setup were provided with information about lucid dreaming. For twenty minutes prior to sleep the experimenter played alternating audio and visual cues at 1minute intervals. Participants were instructed to practice a mental state of critical selfawareness, observing their thoughts and experiences each time they noticed a cue. This procedure associated the cues with the trained mental state. Subsequently, participants were allowed 90 minutes to nap, and the audio and visual cues were represented during REM sleep to activate self-awareness in dreams and elicit lucidity. A control group followed the same procedure but was not cued during sleep. All participants were instructed to signal their lucidity by looking left and right four times (LR Signal). Signal-verified lucid dreams (SVLDs) qualified as dreams in which the LR signal was observed and the participant reported becoming lucid. Across the two nap times, this protocol induced SVLDs in 50% of participants. In the absence of cueing during sleep, participant SVLD rate was 17%. Of note, three successful participants had never before experienced a lucid dream, suggesting this protocol may be effective across the general population. Implications of this Targeted Lucidity Reactivation protocol for nightmare treatment are discussed.

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Citizen science allows the public to participate in various stages of scientific research, including study design, data acquisition, and analysis of the resulting data. Citizen science has a long history in several fields of the natural sciences, and with recent developments in technology, neuroscience has also become more accessible to citizen scientists. This development was largely driven by the development of minimal sensing systems for the consumer market, allowing for do-it-yourself (DIY) or quantified-self (QS) investigations of an individual's brain. While most subfields of neuroscience require sophisticated monitoring devices in the laboratory, the study of sleep characteristics has been widely embraced by citizen neuroscientists, likely due to the strong influence of sleep quality on waking life and an increasingly broad accessibility of relevant non-invasive consumer devices. Here, we introduce into the emerging field of citizen neuroscience, illustrating examples of citizen neuroscience projects in the field of sleep research. We then give an overview on wearable technologies for tracking human neurophysiology, and on open software to run them, each with unique capabilities and intended purposes. Finally, we discuss chances and challenges in citizen neuroscience research, and suggest how to improve studying the human brain outside the laboratory.

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