Elicitation of sleep-onset REM periods in normal individuals using the sleep interruption technique (SIT)

Sleep fragmentation and lucid dreaming

Lucid dreaming-the phenomenon of experiencing waking levels of self-reflection within one's dreams-is associated with more wake-like levels of neural activation in prefrontal brain regions. In addition, alternating periods of wakefulness and sleep might increase the likelihood of experiencing a lucid dream. Here we investigate the association between sleep fragmentation and lucid dreaming, with a multi-centre study encompassing four different investigations into subjective and objective measures of sleep fragmentation, nocturnal awakenings, sleep quality and polyphasic sleep schedules. Results across these four studies provide a more nuanced picture into the purported connection between sleep fragmentation and lucid dreaming: While self-assessed numbers of awakenings, polyphasic sleep and physiologically validated wake-REM sleep transitions were associated with lucid dreaming, neither self-assessed sleep quality, nor physiologically validated numbers of awakenings were. We discuss these results, and their underlying neural mechanisms, within the general question of whether sleep fragmentation and lucid dreaming share a causal link.

Altered Sleep Stage Transitions of REM Sleep: A Novel and Stable Biomarker of Narcolepsy

OBJECTIVES

To determine the diagnostic values, longitudinal stability, and HLA association of the sleep stage transitions in narcolepsy.

METHODS

To compare the baseline differences in the sleep stage transition to REM sleep among 35 patients with type 1 narcolepsy, 39 patients with type 2 narcolepsy, 26 unaffected relatives, and 159 non-narcoleptic sleep patient controls, followed by a reassessment at a mean duration of 37.4 months.

RESULTS

The highest prevalence of altered transition from stage non-N2/N3 to stage R in multiple sleep latency test (MSLT) and nocturnal polysomnography (NPSG) was found in patients with type 1 narcolepsy (92.0% and 57.1%), followed by patients with type 2 narcolepsy (69.4% and 12.8%), unaffected relatives (46.2% and 0%), and controls (39.3% and 1.3%). Individual sleep variables had varied sensitivity and specificity in diagnosing narcolepsy. By incorporating a combination of sleep variables, the decision tree analysis improved the sensitivity to 94.3% and 82.1% and enhanced specificity to 82.4% and 83% for the diagnosis of type 1 and type 2 narcolepsy, respectively. There was a significant association of DBQ1*0602 with the altered sleep stage transition (OR = 16.0, 95% CI: 1.7-149.8, p = 0.015). The persistence of the altered sleep stage transition in both MSLT and NPSG was high for both type 1 (90.5% and 64.7%) and type 2 narcolepsy (92.3% and 100%), respectively.

CONCLUSION

Altered sleep stage transition is a significant and stable marker of narcolepsy, which suggests a vulnerable wake-sleep dysregulation trait in narcolepsy. Altered sleep stage transition has a significant diagnostic value in the differential diagnosis of hypersomnias, especially when combined with other diagnostic sleep variables in decision tree analysis.

Management of African trypanosomiasis of the CNS: polysomnography as a noninvasive staging tool

Human African trypanosomiasis staging follows human African trypanosomiasis diagnosis (trypanosomes in blood and/or lymph glands, trypanosome-positive). Staging determines treatment, as stage 2 medications are toxic and/or difficult to administer. It relies on cerebrospinal fluid examination: stage 1 (no cerebrospinal fluid trypanosome, trypanosome-negative; white blood cell count ≤5/µl); stage 2 (trypanosome-positive and/or white blood cell count ≥20/µl); intermediate stage (6–19 white blood cell/µl; trypanosome-negative). Lumbar puncture is repeated biannually during the 24-month post-treatment follow-up to confirm cure or detect relapse. Sleep disorders are major at stage 2, with a two-symptom polysomnographic syndrome: sleep–wake circadian disruptions; and sleep-onset rapid eye movement sleep periods. Polysomnography (PSG) was proposed as a noninvasive diagnostic tool, and 24-h PSG recordings were performed throughout a 5-year survey in Congo. Before treatment, 76 patients were included and recorded. Normal sleep–wake patterns occurred in 45 out of 47 stage 1 patients and in 16 out of 19 intermediate-stage patients. PSG syndrome was observed in seven out of ten stage 2 patients. During post-treatment follow-up, PSG syndrome occurrence indicated relapse at stage 2. Thus, noninvasive PSG may represent a valuable alternative for human African trypanosomiasis staging, especially in the post-therapeutic follow-up. The detection of a PSG syndrome would then provoke examination of the patient’s cerebrospinal fluid.

EEG activities during elicited sleep onset REM and NREM periods reflect different mechanisms of dream generation. Electroencephalograms. Rapid eye movement

OBJECTIVE

To be the first to compare EEG power spectra during sleep onset REM periods (SOREMP) and sleep onset NREM periods (NREMP) in normal individuals and relate this to dream appearance processes underlying these different types of sleep periods.

METHODS

Eight healthy undergraduates spent 7 consecutive nights in the sleep lab including 4 nights for SOREMP elicitation using the Sleep Interruption Technique. This enabled us to control preceding sleep processes between SOREMP and NREMP. EEG power spectra when participants did and did not report 'dreams' were compared between both types of sleep. Sleep stages, subjective measurements including dream property scores, sleepiness, mood, and tiredness after awakenings were also examined to determine their consistency with EEG findings.

RESULTS

Increased alpha EEG activities (11.72-13.67 Hz) observed mainly in the central area were related to the absence of SOREMP dreams and appearance of NREMP dreams. Analyses of sleep stages combining two studies (16 participants) also supported the Fast Fourier Transform findings, showing that when dreams were reported there were decreased amounts of stage 2 and increased stage REM in SOREMP and increased stage W in NREMP. SOREMP dreams were more bizarre than NREMP dreams. Participants felt more tired after SOREMP with dreams than without dreams, while the opposite was observed after NREMP episodes.

CONCLUSIONS

EEG power spectra patterns reflected different physiological mechanisms underlying generation of SOREMP and NREMP dreams. The same relationships were also reflected by sleep stage analyses as well as subjective measurements including dream properties and tiredness obtained after awakenings. This study not only supports the hypothesized relationships between REM mechanisms and REM dreams as well as arousal processes and NREM dreams, it also provides a new perspective to dream research due to its unique techniques to awaken participants and collect REM dreams during experimentally induced SOREMP.