ChapterPDF Available

Dream Recall and Content in Different Stages of Sleep and Time-of-Night Effect

Authors:
Dream Recall and Content Carr & Solomonova
1
Dream Recall and Content in Different Sleep Stages
Michelle Carr1 & Elizaveta Solomonova2
1Sleep Laboratory, Swansea University, Swansea, United Kingdom
2Dream and Nightmare Laboratory, Center for Advanced Research in Sleep Medicine; and
Psychiatry Department, McGill University, Montreal, Quebec, Canada
To appear in: Dreams: Biology, Psychology and Culture. Valli, K., and Hoss, R. editors. Greenwood
Publishing Group.
Many researchers have attempted to characterize the association between sleep physiology
and dreaming, with some consensus that both dream recall frequency and dream content fluctuate
in predictable ways across a night of sleep. Dream recall and content seem to be tempered, on the
one hand, by the cycle of sleep stages which occurs approximately every 90-minutes, termed the
ultradian rhythm, as well as by the total duration of sleep and the time of night, linked to the
circadian rhythm, the approximately 24-hour long cycle.
The REM sleep = dreaming paradigm
The study of dreams in scientific research laboratories began with the discovery of rapid-
eye-movement (REM) sleep by Aserinsky and Kleitman (1953), who are credited with having the
first sleep research laboratory that discovered the “rapid, jerky, binocularly symmetrical
movements” of the eyes, characteristic of that sleep stage, and intuited that these eye movements
correspond with the visual activity of dreaming—what’s now known as the scanning hypothesis.
They further associated dreams with these eye movements, finding that 74.1% of participants
recalled dreams from REM sleep, whereas only 17.4% recalled dreams from Non-REM sleep
(NREM). In 1957, researchers Dement and Kleitman conducted a similar study eliciting 351
awakenings in nine participants during different stages of sleep, which corroborated earlier
findings of a very high percentage of participants recalling dreams from REM sleep (80%),
whereas only 6.9% recalled dreams from NREM sleep. These early studies instituted the notion
that dreaming may be a REM sleep phenomenon and research continued for many years under that
assumption with several other laboratory studies observing similarly high recall from REM sleep
and low recall from NREM sleep. Some researchers even referred to REM sleep as dream sleep or
D-sleep. To date, researchers find the correlation of dream recall and REM sleep to be consistently
high (around 80% on average), suggesting that the neurophysiology of REM sleep is a strong
enabling condition for vivid dreaming and for cognitive processes, such as attention and memory,
that underlie dream recall upon awakening.
Despite the evidence that dreams could be recalled at least some of the time from NREM
sleep, initially it was presumed that the relatively infrequent NREM dream reports were actually
due to memories of prior REM sleep dreams occurring earlier in the sleep cycle, as it was thought
that NREM sleep itself could not give rise to dreaming. Nevertheless, in 1962, researcher David
Dream Recall and Content Carr & Solomonova
2
Foulkes conducted a study collecting 134 dream reports across the night, which demonstrated that
in fact dream recall can be observed from any stage of sleep and at any time of the night, including
in a NREM sleep stage that preceded any REM sleep. This meant that the NREM dream recall
could not be attributed to a prior REM dream. Since then, many researchers have confirmed that
dream reports can be obtained from all NREM sleep stages.
Further, there has been an increase in the percentage of NREM dream recall found in
studies over time, though this data remains inconsistent (Nielsen, 2011). Inconsistencies are likely
due to the varying definitions of dreaming used by experimenters. Some use a more inclusive
dreaming definition, such as ‘sleep mentation’, which is characterized by any cognitive activity,
whereas the original concept of dreaming was more qualified as hallucinatory, predominantly
visual, imagery (see also chapter 5). The questions used by an experimenter can alter a participant’s
interpretation of dreaming. For example, the question, “what was going through your mind just
before I called you”, will encourage more frequent dream reports than, “what were you dreaming
about?” In fact, in the aforementioned 1962 study, Foulkes discovered that by modifying the
question posed to participants on awakening, by asking whether they were thinking of something
before being signaled rather than if they recalled a dream, he was able to obtain 70% recall rates
from NREM sleep; in other words, the majority of participants reported having had some thoughts
in mind prior to awakening from NREM sleep. Although initially criticized, these observations
have since been confirmed by other researchers, proving again that dream reports can be obtained
from all stages of sleep if sampled appropriately.
As another methodological consideration, the circumstances around an awakening also
play a significant role in frequency of dream recall. For example, if a participant has a task to
complete immediately upon awakening, this distraction will interfere with and reduce dream recall
compared to participants who are allowed to lie in bed and collect their memory of a dream. Sudden
awakenings are also shown to induce better recall than gradual awakenings. In effect, anything
that distracts an individual upon awakening will interfere with their ability to compose and gather
their memory of a dream. Lastly, not recalling a dream is not a proof of absence of an experience
during sleep. There may be many factors that contribute to remembering and forgetting of an
experience, including individual introspective and motivational factors.
Variations in dream content by sleep stage
In modern day dream research, mentation can be sampled from 4 major sleep stages, with
NREM sleep being split into stage 1 sleep which occurs at the transition between wakefulness and
sleep, to stage 2 light sleep, and finally to stage 3 deep sleep. The majority of researchers agree
that some quality of mentation can occur in any of these three stages of NREM sleep, and of course
is most frequent in REM sleep. However, while dreams may be recalled from any stage, there are
differences in the type and quality of mental activity occurring in these different stages. For
example, dream reports are longer after REM than after NREM awakenings, and REM dream
reports are consistently more elaborate and immersive than are NREM dream reports, which are
more thought-like, and even mundane.
Several studies in the past decade have explored dreams occurring in the brief transition
between sleep and wakefulness which can occur both at sleep onset, and upon awakening, termed
Dream Recall and Content Carr & Solomonova
3
the hypnagogic and hypnopompic states, respectively. The dream reports obtained at the moment
of sleep onset can surpass the frequency and length of dream recall obtained from other NREM
sleep stages. A comprehensive review by Nielsen (2011) found that anywhere between 31-76% of
stage N1 sleep reports contain dream imagery. The content of stage N1 (sleep onset) dream reports
is often brief but with vivid visual and auditory experiences and even sensations of movement in
the body, as in the common sensation of ‘falling’ or ‘dropping’ off to sleep. Another interesting
phenomenon that occurs in hypnagogic and hypnopompic states is the incorporation of external
sensory detail into imagery, such as the alarm clock going off and creating a dream of a dog
barking. This sort of imagery where a real world stimulus seems to give rise to an image was noted
in the famous guillotine dream of Maury, where the headboard of the bed fell and Maury dreamt
of a guillotine dropping on his neck (see also chapter 7). Numerous examples in the literature gave
rise to the theory, known as the “cassette theory of dreaming” that posits that dreaming in fact
occurs only at the moment of awakening, as the conscious mind interprets sensory stimuli through
imagery, and mentally “rewinds” the memory to create a longer and a more coherent narrative. For
many scholars, surprisingly, this theory was perceived as more rational than supposing that
cognitive activity could possibly occur in the sleeping state. With the advent of neuroimaging and
more precise methods of assessing cognitive activity during sleep, including work in lucid
dreaming, researchers now concede that dreaming and cognitive activity do occur within the sleep
state itself.
Stage N2 dream reports have been the most thoroughly collected and studied compared to
other NREM sleep stages, and in the past 15 years the percentage of awakenings that are associated
with some report of mental activity from stage N2 sleep has hovered around 60-70%. Despite this
high recall frequency, comparative analysis between stage N2 and REM sleep dream reports has
consistently found stage N2 dreams to be less frequent and shorter than REM dreams, to have less
perceptual content, characters, places, actions, and emotional content, and to be less personally
involving. Stage N2 dream reports also seem to be less bizarre, to have logical thought similar to
that in wake, and to incorporate fragments of recent waking life episodes. Several of these
differences have been verified in multiple studies, and it has become common practice to refer to
the brief dreams characteristic of stage N2 sleep as more ‘thoughtlike’, while the narrative REM
dream reports are often described as more ‘dreamlike’. Some authors have contested whether stage
N2 mentation can be categorically qualified as ‘dreaming’ per se, due to these qualitative
differences. Nevertheless, these are not absolute qualities, as there is a broad spectrum of
individual differences in quality of stage N2 dream reports, and in fact, a small minority of dreams
reported from stage N2 sleep are actually quite dreamlikeand even indistinguishable from typical
REM sleep dream reports.
Finally, deep slow wave sleep (stage N3 NREM sleep) has also been associated with dream
activity, particularly by Cavallero and colleagues (e.g., 1992). In this study, 65% of slow wave
sleep awakenings were accompanied by some mental activity, and although many reports were
quite short, they still showed clear signs of dream imagery of self, perceptual, and emotional
qualities. Early researchers considered it physiologically impossible for cognitive processes to
occur during the relative depth and neural quiescence of deep sleep. More recently, neuroimaging
and behavioral studies have found that slow wave sleep is in fact far from being a period absent of
activity, and indeed may be involved in processes of memory consolidation and cognitive
Dream Recall and Content Carr & Solomonova
4
enhancement. In general, the existence of dream generation and veridically recalled dreams from
all stages of NREM sleep is now admitted by the majority of researchers.
It is well accepted that REM sleep dreams are the most ‘dream-like’ in their immersive and
narrative, yet bizarre nature. And given that REM sleep is much more predominant in the early
morning, these are the types of dreams that people most often awaken from and remember in their
daily life. Recent research suggests that certain REM dream qualities, such as emotional intensity,
are driven by the neurophysiology of the REM sleep state. For instance, activity in the limbic
system, which is associated with emotional processing, is heightened in REM sleep and is
somewhat inhibited in NREM sleep stages. The emotional intensity of REM sleep dreams is part
of what makes them so engaging and memorable. Another common attribute of REM sleep dreams
is their reference to recent waking life concerns and incorporations of recent waking life memories.
This pattern of incorporating memories for experiences from the previous day, termed the day
residue, as well as memories for those experiences from about a week ago, termed the dream-lag
effect. The combination of recent personally relevant and emotional memory traces woven into
the long narrative nature of REM dreams, suggests that dreams may contribute to some mnemonic
process attempting to integrate and make sense of those experiences, which are of most import in
waking life.
Nevertheless, there is some contention over whether stage-related differences in content
may be simply due to the duration of a dream, with longer dreams occurring in REM sleep, which
then allow for longer and greater descriptive detail in dream reports. Dream report length can be
assessed either by counting the number of content-bearing words in a report, or by counting the
number of temporal units in a report, e.g., each action or interaction is a distinct temporal unit.
Some researchers have suggested that the qualitative differences mentioned above are only
secondary to a simple quantitative difference in dream length, and indeed, certain REM/NREM
dream content differences tend to disappear when word length is controlled, although not all: in
particular, REM dreams remain more emotionally salient than NREM dreams.
Further, support for claims that REM dreams differ qualitatively from NREM dreams exists
in the various forms of intensified dreams which are more frequently recalled from REM sleep.
For instance, lucid dreams, which are dreams where the dreamer is aware that they are dreaming,
are specifically recalled from REM sleep. In experiments led by LaBerge (1986), frequent lucid
dreamers were recruited to sleep in the laboratory, where they reported emotionally and
perceptually vivid dreams marked by a mental capacity strikingly similar to that of waking life,
including access to logic, voluntary control of thoughts and actions, and memory, and were able
to recall these experiences quite clearly on awakening. These experiences were in large part
occurring during REM sleep, and only rarely during Stage N2 sleep. In another example,
nightmares are a form of emotionally intense and arousing dream that often result in a sudden
awakening. These dreams likewise occur most frequently in REM sleep, corresponding with
claims that REM dreams are specifically marked by emotional intensity.
In general, certain dream features remain significantly different between REM and NREM
sleep even when word length is controlled, and consistent reports suggest that REM dreams are
more self-reflective, bizarre, visual, emotional, have more self-involvement, and more narrative
Dream Recall and Content Carr & Solomonova
5
quality than do NREM dreams, whereas NREM dreams are more brief, ‘thought-like’ and
mundane than REM dreams.
Variation in recall and content across the ultradian sleep
cycle
Because stages of NREM and REM sleep are defined categorically, a hypnogram of a
normal night of sleep seems to follow a pattern of abruptly transitioning from one type of sleep to
the other (see chapter 2). However, many studies indicate that transitions between sleep stages are
in fact much more fluid than previously thought, following a 90-minute cycle that continuously
ebbs and flows from deep NREM to light NREM to REM sleep and back. Collecting dream reports
at multiple time points within a given sleep stage conforms with this cyclical pattern, with both
frequency and content of dreaming showing oscillatory changes throughout a sleep cycle, as
opposed to sudden changes in dream quality occurring in concert with categorically determined
sleep stage boundaries.
For instance, when relationships between dream report length and time elapsed in REM or
NREM sleep are assessed, dream length fluctuates in a cyclical, sinusoidal pattern over time.
Report length is thought to measure the overall quantity of dream content, and, as mentioned
earlier, REM dream reports are consistently longer than are NREM dream reports. However, more
detailed empirical work suggests that dream length in fact oscillates over consecutive REM and
NREM episodes in an ultradian pattern. A study by Stickgold and colleagues (1994), found that,
for REM sleep dream reports, overall report length is lowest at the beginning (015 minutes) and
at the end (4560 minutes) of a REM period, and length is highest in the middle of the REM period
(15-45 minutes). NREM sleep dream reports show the opposite pattern, with dream length
decreasing into the middle of the period, before increasing again when nearing an oncoming REM
period.
Similar results have been found in other studies that assessed dream report length in concert
with duration of time spent in REM or NREM sleep. For instance, several studies have found that
NREM dream reports are longer and more frequent when they are sampled in close proximity to a
REM period, whereas those sampled further from REM sleep are shorter and less frequent. Finally,
the most reliable indicator of dream recall to date is the underlying patterns of brain activity.
Studies show that in both REM and NREM sleep certain brain rhythms (in particular, decrease in
low frequency delta activity) predicts whether or not the sleeper will be able to recall a dream upon
awakening at that moment (Esposito et al., 2004; Scarpelli, 2017). In other words, dream recall is
better predicted by transient brain rhythms than simply by a sleep stage.
As is the case for measures of dream recall and length, evidence indicates that various
features of dream imagery progressively amplify with increasing time in REM sleep, and may
decrease with increasing time in NREM sleep. For instance, dreams are considered more ‘dream-
like’ when collected from shorter as opposed to longer NREM sleep periods, as well as being more
dream-like’ collected in close proximity to a neighboring REM period, e.g., when sampled from
a NREM sleep period just 5 minutes after a previous REM period ended. For REM sleep, dream
reports from longer REM sleep episodes become more dreamlike in several respects than those
Dream Recall and Content Carr & Solomonova
6
from shorter REM periods; longer REM sleep reports have been described as more active,
emotional, and vivid, with more visual features and narrative immersion than shorter REM sleep
reports. In general, these attributes are thought to show linear increases over time in REM sleep.
Nevertheless, these measures are not always consistent between studies, and some have found that
certain features of REM dreams do not change as a function of stage duration.
In general, the findings for recall and length show clear patterns in sync with the 90-minute
ultradian sleep cycle, whereas the specific quality of dream content shows some, but less
consistent, patterns of ultradian variation.
Variation in recall and content across a night of sleep
A growing body of research suggests that the frequency and content of dreaming evolves
over the course of a night, with dreams becoming more realistic and immersive in later sleep
cycles. In general, the dreams collected from the first or second 90-minute cycle of sleep are
markedly different from those in later cycles, and especially from the dreams occurring at the end
of a sleep period in the morning.
There is a great deal of evidence that dreams late in the sleep period are longer than early
dreams. Pivik and Foulkes (1968) were the first to empirically demonstrate that dream length
changes across the night, with the finding that NREM dream reports became longer with each
successive sleep cycle. Since then, several other researchers have followed suit with varying sleep
paradigms, for instance, showing that dreams collected in the first half of the night are shorter than
those collected in the second half of the night, and that longer sleep durations are associated with
longer dream reports. Other qualities of dream content also seem to reliably amplify across the
night. In general, studies have found that perceptual details, including visual features, are
augmented in late morning dreams, and laboratory studies, have shown there is a positive
correlation between the time of night and the vividness, bizarreness and emotional intensity of
dreams - for both REM and NREM dreams across the night. In other words, dreams from all stages
of sleep become more ‘dreamlike’ as the night goes on. There is also some evidence that dreaming
across the night exhibits some continuity in thematic content, for example, dreams sampled from
different stages and across a single night may all carry an overarching theme related to work or
occupational concerns, even if the perceptual or emotional quality and specific details of the dream
report change. This suggests there is some continuum of dreaming processes occurring across the
night.
It is thought that the circadian peak, which occurs at the end of the sleep cycle in the early
morning, stimulates higher dream recall and a greater predominance of attributes such as character
interactions, emotional contents, and dream vividness. However, some researchers have suggested
that increasing dream vividness is tied to the duration of the sleep period, as opposed to the 24-
hour circadian rhythm. Evidence for a specific circadian influence on dreaming has been shown in
studies that alter the timing of a sleep period without altering sleep duration. For instance, delaying
sleep by 3 hours was associated with more vivid dreaming in one study (Antrobus, 1995). Others
have used nap protocols to assess dream content outside of a normal sleep period. For example,
one experiment used an ultra-short nap protocol where participants took 20-minute naps every
hour for 78 hours and reported dreams after each nap. Consistent with a circadian explanation, it
Dream Recall and Content Carr & Solomonova
7
was found that NREM dream intensity peaked in the morning, even though NREM sleep duration
is shortest in the morning (Suzuki et al., 2004). Finally, a recent study used a morning nap
paradigm, and found dream recall rates for NREM (89%) and REM (96%) sleep that were even
higher than those seen for a typical night of sleep (Carr & Nielsen, 2015). This suggests that a
circadian peak in dream generation may occur in the morning, regardless of the duration of the
sleep period.
While dreams sampled from both NREM and REM sleep seem to intensify across the
course of the night, the two types of reports continue to differ in some qualitative respects. In
particular, REM dream reports continue to exhibit elevated levels of bizarreness and emotional
content, and more vivid perceptual experiences, which suggests that certain stage-related content
differences may persist across the night. Additional research comparing dreams sampled at
different time-points throughout the day and night is needed to determine the qualities of REM
and NREM dream reports that are more influenced by circadian or stage-related mechanisms.
In general, it seems that both circadian- and ultradian-rhythms exert some influence on
dream content, and while late-REM dream reports continue to be more emotionally intense and
vivid than late-NREM dream reports, both REM and NREM dream reports are more bizarre,
dreamlike, and longer later in the night.
Conclusion
Dreams, while initially associated only with REM sleep, are in fact possible in all stages
of sleep. Though REM sleep continues to be consistently associated with higher dream recall than
NREM sleep, variations in methodology, sleep stage duration, and time of night, can influence the
content or increase the frequency of dream recall from NREM sleep. In general, the quality of
NREM and REM dream reports differs in consistent ways. NREM dreams are typically shorter,
more fragmented and more thought-like whereas REM dreams are longer, more emotional, and
more bizarre. Attributes such as length, bizarreness, and perceptual vividness increase for both
NREM and REM sleep reports across the night, although REM sleep dreams continue to be more
emotionally and perceptually vivid than NREM dreams. While these results require more
clarifying research, they demonstrate that various features of dreaming are driven by both ultradian
and circadian cycles, with the time-of-night increase in dream vividness likely due to circadian
influence, and the REM/NREM differences driven by ultradian influence.
References
Antrobus, J., Kondo, T., Reinsel, R., & Fein, G. (1995). Dreaming in the late morning:
Summation of REM and diurnal cortical activation. Consciousness and Cognition, 4(3),
275299.
Aserinsky, E., & Kleitman, N. (1953). Regularly occurring periods of eye motility, and
concomitant phenomena, during sleep. Science, 118(3062), 273274.
Carr, M., & Nielsen, T. (2015). Daydreams and nap dreams: content comparisons.
Consciousness and Cognition, 36, 196205.
Dream Recall and Content Carr & Solomonova
8
Cavallero, C., Cicogna, P., Natale, V., Occhionero, M., & Zito, A. (1992). Slow wave sleep
dreaming. Sleep, 15(6), 562566.
Dement, W., & Kleitman, N. (1957). Cyclic variations in EEG during sleep and their relation to
eye movements, body motility, and dreaming. Electroencephalography and Clinical
Neurophysiology, 9(4), 673690.
Esposito, M. J., Nielsen, T. A., & Paquette, T. (2004). Reduced Alpha power associated with the
recall of mentation from Stage 2 and Stage REM sleep. Psychophysiology, 41(2), 288
297.
Foulkes, W. D. (1962). Dream reports from different stages of sleep. The Journal of Abnormal
and Social Psychology, 65(1), 14.
Hobson, J. A. (1988). The dreaming brain. New York: Basic Books.
LaBerge, S., Levitan, L., & Dement, W. C. (1986). Lucid dreaming: Physiological correlates of
consciousness during REM sleep. The Journal of Mind and Behavior, 7, 251258.
McNamara, P., McLaren, D., Smith, D., Brown, A., & Stickgold, R. (2005). A “Jekyll and
Hyde” within: aggressive versus friendly interactions in REM and non-REM dreams.
Psychological Science, 16(2), 130136.
Nielsen, T. (2010). Ultradian, circadian and sleep-dependent features of dreaming. In M. Kryger,
T. Roth & W. C. Dement (Eds), Principles and Practice of Sleep Medicine (pp. 576-584).
New York: Elsevier.
Nielsen, T. A. (2000). A review of mentation in REM and NREM sleep:“covert” REM sleep as a
possible reconciliation of two opposing models. Behavioral and Brain Sciences, 23(6),
851866.
Pivik, T., & Foulkes, D. (1968). NREM mentation: relation to personality, orientation time, and
time of night. Journal of Consulting and Clinical Psychology, 32(2), 144.
Scarpelli, S., D’Atri, A., Mangiaruga, A., Marzano, C., Gorgoni, M., Schiappa, C., … De
Gennaro, L. (2017). Predicting Dream Recall: EEG Activation During NREM Sleep or
Shared Mechanisms with Wakefulness? Brain Topography, 30, 110.
Stickgold, R., Pace-Schott, E., & Hobson, J. A. (1994). A new paradigm for dream research:
mentation reports following spontaneous arousal from REM and NREM sleep recorded
in a home setting. Consciousness and Cognition, 3(1), 1629.
Suzuki, H., Uchiyama, M., Tagaya, H., Ozaki, A., Kuriyama, K., Aritake, S., … Kuga, R.
(2004). Dreaming during non-rapid eye movement sleep in the absence of prior rapid eye
movement sleep. Sleep, 27(8), 14861490.
... Thus, waking experiences that placed a particular neuroplastic burden on the nervous system, because of their frequency, intensity, or emotional valence, are likely to feature prominently in dream content (Nemeth & Fazekas, 2018;Vallat et al., 2017) whereas waking experiences of a more general and diffuse character might not. Dream content will generally feature events related to the preceding day-the day residue effect-but further resynchronization and reintegration of neuroplastically adapted neural circuits might also occur on subsequent days and account for the dream lag effect (Carr & Solomonova, 2019;Picard-Deland & Nielsen, 2022). Moreover, any neural circuit that requires neuroplastic adaptation needs to be resynchronized with-at least-some other downstream neural circuits with which it interfaces even if these neural circuits themselves did not require neuroplastic adaptations. ...
... These sequences and their frequencies predominantly generate the narratives of dream episodes. The bizarreness of dreams (Carr & Solomonova, 2019;Scarpelli et al., 2022) also derives from the resynchronization and integration demands of neural circuits that are determined by neuroplastic alterations, but predominantly from the combinations of neural circuits that are "tested" together. Even though aspects of simulation occur during resynchronization, resynchronization is not likely to result in the activation of neural circuits in the same coordinated manner as experienced in the waking state and provoked by external stimuli because the activation of neural circuits is dependent on the extent of neuroplastic alterations. ...
... Because REM episodes will increase in duration or frequency (Abel et al., 2013;Carr & Solomonova, 2019;Simor et al., 2018), the scope arises for more dreams or dreams of longer duration. Indeed, this is expected as specific neural circuits need to become more comprehensively resynchronized and functionally integrated with more downstream neural circuits. ...
Article
Full-text available
Synchronous and coordinated neural electrical activity is essential for proper mental functioning in the wake state. Sleep-dependent neuroplastic repair and adaptation that occur because of oxidative damage, inflammation, learning, and memory formation fostered by wake state experiences alter the finely tuned electrical activity of neurons. Resynchronization after neuroplastic repair and adaptation, but before waking, is needed to redress such adverse effects. These circuit-specific resynchronizations restore the unique sequential activity patterns needed for the diversity of mental functions. Dreaming is the result of neural circuit activations during sleep as part of resynchronization processes. Dream content is explained by the information load of neural circuits that underwent extensive neuroplastic repair and adaptation and that were activated during resynchronization. Neural circuit activation sequences and their combinations during resynchronization determine the narratives and bizarreness of dreams.
... This led some authors to speculate that certain types of OBEs may be part of this set of sleep-wake hallucinations, building the hypnagogic model of OBEs (for review see [45]). OBEs have also been reported during vivid and emotional dreaming states, which are, in turn, more likely to appear during the rapid eye movements (REM) sleep phase [57,58]. For instance, 35% of participants in one study reported having dreamed while experiencing an OBE [37]. ...
... When compared to borderline OBEs, OBEs would most likely appear at latter stages within the 'altered sleep onset' phase or at the onset of REM sleep, when complex dreaming is more frequent and there is heightened narrative development compared to earlier sleep stages [57,128,133,[143][144][145]. In this context, individuals reporting sleep-related OBEs typically describe being present in a particular setting (e.g., their bedroom) and, in rarer cases, being able to travel to landscapes (44% in [38]) or engage in conversations with other people (for example see [23]). ...
Preprint
Full-text available
Out-of body experiences (OBEs) are characterized by the subjective experience of being located outside the physical body. Evidence supports that OBEs triggered by electrical stimulation and epileptic seizures are associated with disrupted brain activity in a distributed network centred at the temporo-parietal junction and the resulting multisensory disruption of body representation. However, little is known about the neurophysiology of spontaneous OBEs, which are often reported by healthy individuals as occurring during states of reduced vigilance, particularly in proximity to or during sleep (sleep-related OBEs). A sleep phenomenon that has been linked to this particular kind of OBE is lucid dreaming, i.e., the realization of being in a dream state. Thus, both lucid dreams and sleep-related OBEs are characterized by the conscious awareness of not being in a standard waking state at the moment of the experience. In this paper, we review the current state of research on sleep-related OBEs and hypothesize that these phenomena, along with certain types of lucid dreams, are more likely to occur during direct transitions from wakefulness to REM sleep (sleep-onset REM periods). Based on this hypothesis, we propose a new conceptual model that potentially describes the relationship between OBEs and sleep states. The model sheds light on the phenomenological differences between sleep-related OBEs and similar states of consciousness, such as lucid dreaming and sleep paralysis, and explores the potential polysomnographic features underlying sleep-related OBEs. Subsequently, we apply the predictive coding framework to suggest that sleep-related OBEs form part of a broader spectrum of experiences, proposing a connecting link between OBEs occurring in a sleep state and OBEs reported during wakefulness. We conclude by discussing experimental options for testing this model.
... This subject becomes quite complicated when one considers the relationship between dream content/remembrance and sleep architecture. Previous research has demonstrated that dreams differ in content and recall rate depending on the stage they occur, with REM dreams being described as more bizarre, emotionally valiant, and rememberable than non-REM dreams (Carr & Solomonova, 2019;Foulkes, 1962). To add further complication, research has demonstrated that SDB can produce sporadic awakenings in stages outside of REM sleep (Stepanski, 2002). ...
... Considering Miller, Cranston, et al. (2018) reported that individuals with SDB symptoms experienced less benefit from ERRT than those without SDB symptoms, we hypothesized that SDB will impact the outcomes of a nightmare focused rescripting psychotherapy (ERRT), where individuals with SDB will experience a higher frequency of nightmares and distress related to nightmares after the treatment, than those without SDB symptoms. Furthermore, considering the research that suggests that SDB symptoms can impact sleep architecture and thus potentially dream content and remembrance (Carr & Solomonova, 2019;Stepanski, 2002), we also hypothesized that nightmare content and the remembrance of nightmares will be impacted by SDB, where individuals with SDB symptoms will be less likely to remember their nightmares and their nightmares will have content that is less likely to resemble the triggering trauma, compared to those without SDB symptoms. With the previous in mind, we also hypothesized that participants without SDB symptoms will see a significant change in nightmare content (where their dream content is less likely to resemble the triggering trauma), whereas participants with SDB symptoms will not see a significant change in nightmare content. ...
Article
Full-text available
Posttrauma nightmares (PNMs) are initiated by trauma exposure, often include content that resembles the triggering trauma, and are considered a hallmark symptom of posttraumatic stress disorder. Although rescripting therapies are a leading treatment option for PNMs, there are mixed results regarding their effectiveness. One variable that may give us more insight into the relationship between PNMs and rescripting therapies is sleep disordered breathing (SDB), especially when considering SDB may impact nightmare content, frequency, sleep staging, and symptom severity. Thus, given that SDB may influence PNMs, the current study investigated the relationship between SDB, nightmare content, the remembrance of nightmares, and the impact of a nightmare rescripting therapy in a trauma-exposed sample. Although there were no significant differences in nightmare frequency or remembrance among individuals with and without SDB at baseline, the non-SDB group (compared to the probable SDB group) was more likely to report nightmares that were similar to the triggering trauma. Following treatment, the group without SDB symptoms had significantly less nightmares, whereas the probable SDB group showed no significant decrease in nightmare frequency. In conclusion, our results demonstrate that PNMs in the presence of SDB symptoms (complex PNMs) may differ in content than PNMs without comorbid SDB symptoms (isolated PNMs) and that SDB symptoms may interfere with the efficacy of rescripting focused therapies. Future research is needed to determine if there is truly a difference between complex PNMs and isolated PNMs and if types of nightmares (complex and isolated) fare better under different treatment options (continuous positive air pressure vs. rescripting focused therapies).
... lack of self-reflective awareness, bizarreness, strong, predominantly negative emotions, and amnesia. It is worth noting that these formal features are strongly theorydriven and the extent to which they really characterize REM dreams and distinguish them from NREM and sleep onset dreams is controversial (Carr & Solomonova, 2019). ...
Chapter
In this chapter, we focus on the problem of dream reports at the intersection of dream research, the philosophy of dreaming, and first-person methods in consciousness science. We advance three proposals: (1) that the variability of methods and measures used in dream research influences research results; (2) that best-practice guidelines for the report-based study of experience in sleep (as well as in waking) can nonetheless be identified; and (3) that certain areas of dream research could benefit from more explicitly focusing on phenomenal (vs content or formal) features of dreaming. Drawing from the shared conceptual and methodological ground of dream research and consciousness science, we suggest that investigating the phenomenal features of dreaming could profit from the application of elements of first-person methods in consciousness research. We consider two specific interview methods: descriptive research sampling and micro-phenomenological interviews, discuss their applicability in dream research, and outline promising directions for future research.
... Certain point such as P3, P4, O1, O2, T5 and T6 show similar activity pattern for the 10s. These points have been related to functions that handle logical, imagery, and hearing according to past studies (Carr & Solomonova, 2019). If the similarity between points proven applies to most subjects, only one of the points will be required to be measure in order to evaluate the result. ...
Thesis
Full-text available
The term aggressiveness can refer to optimistic behavioral responses from emotion. Normally, experts, such as psychologists, are required to actively monitor the whole process from measurement to analysis. However, they usually come out with different conclusions. Survey-based research could not provide continuous measurement or provide reasonable model to compare the different types and levels of aggressiveness. Hence, the validity of aggressiveness measurement based on such methods can be questioned as well as not applicable for continuous measurements. Furthermore, currently the amount of research linking brain and aggressiveness are limited at the psychological and clinical biology level. Investigation on the brain as the source of emotions may be able to differentiate the levels of aggressiveness. Measuring the EEG signal that emanates from a subject‘s brain to indicate the level of aggressiveness should be one of the major directions for research in this field. This research proposes an approach to measure and classify aggressiveness levels of subjects using the recorded EEG signals, and to represent these in a form easily understood by a layman. A model for indexing and classifying the aggressiveness of a subject based on their brain signals are developed in this research. A survey of 118 participants was conducted, and 10 of which were selected to participate in EEG recording. The EEG relationship pattern over time among the 19 EEG measurement locations was established. From a collective rest signal pool of 10 subjects, a universal rest signal, RB, is generated and using a mesh network of 171 unique index D features from the EEG data is formed. Based on the difference of D from the measured signal to RB values, the aggressiveness index at any time, A, is computed. This represents the indicator for aggressiveness at any time instant. After adjusting the threshold value for identifying rest conditions, machine learning using KNN (k = 7) and PNN (s = 0.2) were able to differentiate aggressiveness during simulated and rest conditions with highest accuracy of 96%. Out of the 171 relation pairs index, the top 20 most influenced EEG pair were obtained through channel reduction, where average highest aggressiveness contributing recording location pairs, EEG recording from different brain section, standard deviation and ANOVA analysis of data were taken into consideration with result of aggressiveness-rest classification accuracy was maintained at around 75% with 88.3% fewer input. This research has demonstrated that the recording can be directly linked to the subject‘s current aggressiveness level. Hence, if the aggressiveness level is able to be monitored at any instant in time, the cause or the factor affecting aggressiveness level can be traced further and dealt with.
... Inspired by the mental status exam in psychiatry, he believed the following characteristics to be universal for and distinctive of REM dreams: Visual and motor hallucinations, delusional acceptance of dream events as real, ad hoc reasoning, lack of self-reflective awareness, bizarreness, strong, predominantly negative emotions, and amnesia. It is worth noting that these formal features are strongly theory-driven and the extent to which they really characterize REM dreams and distinguish them from NREM and sleep onset dreams is controversial (Carr & Solomonova, 2019). ...
Preprint
In this chapter, we present the problem of dream reports in philosophy and empirical research, examine how the variability of methods and measures influences research results, and suggest that research on the phenomenological features of dreaming could benefit from insights from first-person methods in consciousness research. We consider two interview-based methods developed for acquiring detailed phenomenological reports on waking subjective experience - descriptive experience sampling (Hurlburt, 1990, 2011) and micro-phenomenology (Petitmengin, 2006) - discuss their applicability in dream research, and outline some promising research directions. [Manuscript for a chapter in Dreaming and Memory: Philosophical Issues; prior to peer-review.]
... Despite the large sample size, when compared with laboratory awakenings, online data collection is less dependable in terms of yielding elaborate dream reports for two main reasons. First, laboratory awakenings are able to distinguish between dream content in non-REM and REM sleep, and allow researchers to take more detailed notes of the differences between states of consciousness in sleep phases (Carr & Solomonova, 2019). Since the participants in the current study were asked to provide their experiences of bodily self-consciousness recalled without specifying particular dreams, we were unable to identify which sensory modalities (if any) the dreaming self was most likely to experience in different sleep phases. ...
Article
Full-text available
According to virtual reality dream theory (Hobson & Friston, 2014), while dreaming, brains generate a dream world similar to a virtual reality environment, and this world uses the same predictive self/world modeling capacity as that used during wakefulness. The theory proposes that phenomenology of dreaming experience is based on the waking experience, a view widely accepted by dream researchers. In the current research, we argued that individuals with different intensities of dissociative experiences during waking, will report corresponding differences in the profoundness of sensory modality experiences, such as touching in dreams. To test this hypothesis, first, we developed a novel Bodily Self-Consciousness in Dreams Questionnaire, that was completed by 414 participants. The questionnaire measured the intensity of different sensory modality experiences in past dreams. The results showed that a four-factor solution explains 64% of the total variance, and yielded sufficient reliability with McDonald’s ω ranging from .62 to .84, and Cronbach’s α ranged from .61 to .84. Along with the Bodily Self-Consciousness in Dreams Questionnaire, we administered the Dissociation Questionnaire (Vanderlinden et al., 1993), which showed a significant positive correlation between the bodily self-consciousness in dreams and dissociative experiences during waking. In conclusion, the results showed that all of the modalities pertain to bodily self-consciousness in dreams and are significantly correlated with waking state dissociative experiences.
... For a long time, it was believed that dreams happen only during REM sleep. Though this is still true of vivid dreams, we now know dreams can be recalled after other sleep stages [16][17][18][19][20] , even after slow-wave sleep [21][22][23] . ...
Article
Full-text available
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. Method. 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, ‘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.
Article
Empirical investigations that search for a link between dreaming and sleep-dependent memory consolidation have focused on testing for an association between dreaming of what was learned, and improved memory performance for learned material. Empirical support for this is mixed, perhaps owing to the inherent challenges presented by the nature of dreams, and methodological inconsistencies. The purpose of this paper is to address critically prevalent assumptions and practices, with the aim of clarifying and enhancing research on this topic, chiefly by providing a theoretical synthesis of existing models and evidence. Also, it recommends the method of Targeted Memory Reactivation (TMR) as a means for investigating if dream content can be linked to specific cued activations. Other recommendations to enhance research practice and enquiry on this subject are also provided, focusing on the HOW and WHY we search for memory sources in dreams, and what purpose (if any) they might serve.
Article
Full-text available
The common knowledge of a uniqueness of REM sleep as a privileged scenario of dreaming still persists, although consolidated empirical evidence shows that the assumption that dreaming is just an epiphenomenon of REM sleep is no longer tenable. However, the brain mechanisms underlying dream generation and its encoding in memory during NREM sleep are still mostly unknown. In fact, only few studies have investigated on the mechanisms of dream phenomenology related to NREM sleep. For this reason, our study is specifically aimed to elucidate the electrophysiological (EEG) correlates of dream recall (DR) upon NREM sleep awakenings. Under the assumption that EEG activity predicts the presence/absence of DR also during NREM sleep, we have investigated whether DR from stage 2 NREM sleep shares similar brain mechanisms to those involved in the encoding of episodic memory during wakefulness, or it depends on the specific electrophysiological milieu of the sleep period along the desynchronized/synchronized EEG continuum. We collected DR from a multiple nap protocol in a within-subjects design. We found that DR is predicted by an extensive reduction of delta activity during the last segment of sleep, encompassing left frontal and temporo-parietal areas. The results could represent an update on the mechanisms underlying the sleep mentation during NREM sleep. In particular, they support the hypothesis that an increased cortical EEG activation is a prerequisite for DR, and they are not necessarily in conflict with the hypothesis of common wake-sleep mechanisms. We also confirmed that EEG correlates of DR depend on a state-like relationship.
Article
Full-text available
Reports of lucid dreaming (i.e., dreaming while being conscious that one is dreaming) were verified for 13 Ss (aged 21–51 yrs) who signaled by means of voluntary eye-movements that they knew they were dreaming while continuing to dream during REM sleep. Physiological analysis of the resulting 76 signal-verified lucid dreams (SVLDs) revealed that elevated levels of automatic nervous system activity reliably occurred both during and 30 sec preceding the onset of SVLDs, implicating physiological activation as a necessary condition for reflective consciousness during REM dreaming. It is concluded that the ability of proficient lucid dreamers to deliberately perform dream actions in accordance with presleep agreement makes possible determination of psychophysiological correspondence during REM dreaming. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
Full-text available
20 YOUNG ADULT MALES SLEPT IN THE LABORATORY ON 2 NONCONSECUTIVE NIGHTS DURING WHICH CONTENT RETRIEVAL AWAKENINGS WERE MADE IN PERIODS OF NREM SLEEP. SS ALSO COMPLETED SEVERAL PERSONALITY MEASURES (CPI, MMPI, TAT). THE STUDY EXAMINED (1) PERSONALITY CORRELATES OF NREM MENTATION, (2) THE RELATIONSHIP BETWEEN LATENCY OF RESPONSE (ORIENTATION TIME) UPON AWAKENING FROM SLEEP AND THE NATURE OF THE SUBSEQUENT REPORT, AND (3) QUALITATIVE CHANGES IN NREM REPORTS OVER THE COURSE OF THE NIGHT. EARLIER OBSERVATIONS ON THE INCIDENCE OF NREM MENTATION AND THE POSITIVE CORRELATION OF ITS DREAMLIKE QUALITY WITH TEST INDEXES OF PERSONALITY DISTURBANCE WERE CONFIRMED. DREAMLIKE REPORTS WERE MOST LIKELY TO HAVE OCCURRED ON NREM AWAKENINGS WITH THE SHORTEST ORIENTATION TIMES. NREM IDEATION BECAME MORE DREAMLIKE OVER THE COURSE OF THE NIGHT. (24 REF).
Article
Dreaming is influenced by many of the same types of chronobiologic and sleep-dependent factors that regulate other sleep processes. These principally include the 90-minute REM-NREM ultradian rhythm, the 24-hour circadian rhythm, and the sleep-dependent increase in REM propensity. Different features of dreaming have been associated with these factors, such as the probability of recalling dream content, the length of dream reports, and the visual intensity of the dream experience. New research clarifying interactions between ultradian, circadian, and sleep-dependent factors is beginning to provide a more complete portrait of chronobiologic influences on dream production.
Article
Abstract We hypothesized that representations of social interactions in REM and non-REM (NREM) dreams would reflect differing regional brain activation patterns associated with the two sleep states, and that levels of aggressive interactions would be higher in REM than in NREM dreams. One hundred REM, 100 NREM, and 100 wake reports were collected in the home from 8 men and 7 women using the Nightcap sleep-wake mentation-monitoring system and scored for number and variety of social interactions. We found that (a) social interactions were more likely to be depicted in dream than in wake reports, (b) aggressive social interactions were more characteristic of REM than NREM or wake reports, and (c) dreamer-initiated friendliness was more characteristic of NREM than REM reports. We conclude that processing of, or simulations about, selected social interactions is preferentially performed while “off-line” during the dream state, with the REM state specializing in simulation of aggressive interactions and the NREM state specializing in simulation of friendly interactions.
Article
The "Nightcap," a relatively nonintrusive and "user-friendly" sleep monitoring system, was used by 11 subjects on 10 consecutive nights in their homes. Eighty-eight sleep mentation reports were obtained after spontaneous awakenings from Nightcap-identified REM sleep and 61 were obtained from NREM awakenings. Sleep mentation was recalled in 83% of REM reports and 54% of NREM reports. The median length of REM reports was 148 words compared to 21 words for NREM reports. Twenty-four percent of the REM reports were over 500 words long; no NREM reports over 500 words were obtained. REM report lengths were lowest during the first 15 min of the REM cycle and longest 15–45 min into the period. In contrast, 7 of the 9 NREM reports more than 100 words long occurred within the first 15 min of NREM periods. The Nightcap thus appears to be an effective and efficient method of collecting large numbers of sleep mentation reports with correlated sleep staging under normal ecological conditions.
Article
In 33 adults, discrete periods of rapid eye movement potentials were recorded without exception during each of 126 nights of undisturbed sleep. These periods were invariably concomitant with a characteristic EEG pattern, stage 1.Composite histograms revealed that the mean EEG, eye movement incidence, and body movement incidence underwent regular cyclic variations throughout the night with the peaks of eye and body movement coinciding with the lightest phase of the EEG cycles. A further analysis indicated that body movement, after rising to a peak, dropped sharply at the onset of rapid eye movements and rebounded abruptly as the eye movements ceased.Records from a large number of nights in single individuals indicated that some could maintain a very striking regularity in their sleep pattern from night to night.The stage 1 EEG at the onset of sleep was never associated with rapid eye movements and was also characterized by a lower auditory threshold than the later periods of stage 1. No dreams were recalled after awakenings during the sleep onset stage 1, only hypnagogic reveries.
Article
Thesis (Ph. D.)--University of Chicago, Dept. of Psychology, 1960.
Article
Fifty volunteers slept two nonconsecutive nights in a sleep laboratory under electropolygraphic control. They were awakened for one report per night. Awakenings were made, in counterbalanced order, from slow wave sleep (SWS--stage 3-4 and stage 4) and rapid eye movement (REM) sleep. Following dream reporting, subjects were asked to identify memory sources of their dream imagery. Two independent judges reliably rated mentation reports for temporal units and for several content and structural dimensions. The same judges also categorized memory sources as autobiographical episodes, abstract self-references, or semantic knowledge. We found that REM reports were significantly longer than SWS reports. Minor content SWS-REM differences were also detected. Moreover, semantic knowledge was more frequently mentioned as a dream source for REM than for SWS dream reports. These findings are interpreted as supporting the hypothesis that dreaming is a continuous process that is not unique to REM sleep. Different levels of engagement of the cognitive system are responsible for the few SWS-REM differences that have been detected.