Resting Brain Activity Varies with Dream Recall Frequency Between Subjects

Eichenlaub, Jean-Baptiste; Nicolas, Alain; Daltrozzo, Jérôme; Redouté, Jérôme; Costes, Nicolas; Ruby, Perrine

doi:10.1038/npp.2014.6

Cited by 90 publications

(128 citation statements)

References 74 publications

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“…Substantial change in DMN activity has been found to occur during the transitions from task states to the resting state687778. Moreover, recent studies have shown that DMN activity could be differentially modulated even in the absence of an external task157980. Taken together, our results demonstrate that the patterns of DMN topology vary across different brain states.…”

Section: Discussionsupporting

confidence: 68%

Dynamic Default Mode Network across Different Brain States

Lin

Yang

Gao

et al. 2017

Sci Rep

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The default mode network (DMN) is a complex dynamic network that is critical for understanding cognitive function. However, whether dynamic topological reconfiguration of the DMN occurs across different brain states, and whether this potential reorganization is associated with prior learning or experience is unclear. To better understand the temporally changing topology of the DMN, we investigated both nodal and global dynamic DMN-topology metrics across different brain states. We found that DMN topology changes over time and those different patterns are associated with different brain states. Further, the nodal and global topological organization can be rebuilt by different brain states. These results indicate that the post-task, resting-state topology of the brain network is dynamically altered as a function of immediately prior cognitive experience, and that these modulated networks are assembled in the subsequent state. Together, these findings suggest that the changing topology of the DMN may play an important role in characterizing brain states.

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Section: Discussionsupporting

confidence: 68%

Dynamic Default Mode Network across Different Brain States

Lin

Yang

Gao

et al. 2017

Sci Rep

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“…This trait may be similar to that of individuals with high dream recall: in a recent study we showed that increased fast but decreased slow sleep spindles correlate with dream recall frequency [105]. The latter is a measure previously linked with higher reactivity to auditory stimuli both in wake and during sleep [148], and with increased activity in the temporoparietal junction and medial prefrontal cortex -areas typically associated with attention and memory [149]. This finding is consistent with observations in our current study: all our participants had high dream recall, and meditators had fewer slow sleep spindles than did non-meditating controls, possibly reflecting their increased alertness in sleep.…”

Section: Sleep Spindlessupporting

confidence: 52%

Contribution of REM sleep and N2 sleep spindles to procedural memory consolidation in Vipassana meditators and non-meditating controls.

Solomonova¹,

Dubé²,

Blanchette-Carrière³

et al. 2017

Preprint

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Study objectivesRapid eye movement (REM) sleep, non-rapid eye movement (NREM) sleep, and sleep spindles are all implicated in the consolidation of procedural memories. The relative contributions of sleep stages and sleep spindles was previously shown to depend on individual differences in task processing. Experience with Vipassana meditation is one such individual difference that has not been investigated in relation to sleep. Vipassana meditation is a form of mental training that enhances proprioceptive and somatic awareness and alters attentional style. The goal was thus to examine a potential moderating role for Vipassana meditation experience on sleepdependent procedural memory consolidation.Methods Groups of Vipassana meditation practitioners (N=20) and matched meditation-naïve controls (N=20) slept for a single daytime nap in the laboratory. Before and after the nap they completed a procedural task on the Wii Fit balance platform. ResultsMeditators performed slightly better on the task before the nap, but the two groups improved similarly after sleep. The groups showed different patterns of sleep-dependent procedural memory consolidation: in meditators task learning was negatively correlated with density of fast and positively correlated with density of slow occipital spindles, while in controls task improvement was associated with increases in REM sleep. Meditation practitioners had a lower density of sleep spindles, especially in occipital regions.Conclusions Results suggest that neuroplastic changes associated with sustained meditation practice may alter overall sleep architecture and reorganize sleep-dependent patterns of memory consolidation. The lower density of spindles in meditators may mean that meditation practice compensates for some of the memory functions of sleep.

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“…In another study, Eichenlaub et al, (2014) compared brain activity on those that recalled dreams more frequently (more than three times a week) with those that recalled dreams less frequently. The results showed that those that recalled dreams more frequently tended to be more reactive to external stimuli both during wakefulness and sleep.…”

Section: Dream Recallmentioning

confidence: 99%

An empirical examination of factors associated with Game Transfer Phenomena severity

Gortari

Oldfield

Griffiths

2016

Computers in Human Behavior

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Game Transfer Phenomena (GTP) (i.e. altered perceptions, spontaneous thoughts and behaviors with game content) occur on a continuum from mild to severe. This study examined the differences between mild, moderate and severe levels of GTP. A total of 2,362 gamers' participated in an online survey. The majority of gamers experienced mild levels of GTP. The factors significantly associated with severe levels of GTP were: (i) being students,(ii) being aged 18 to 22, (iii) being professional gamers, (iv) playing videogames every day in sessions of 6 hours or more, (iv) playing to escape from the real world, (v) recalling dreams always or very often, (vi) having a sleep disorder, mental disorder or reported dysfunctional gaming, and (vii) having experienced distress or dysfunction due to GTP. In addition, having used drugs and experiencing flashbacks as side-effects of drug use were significantly less likely to be reported by those with mild levels of GTP. In general, the findings suggest that those with higher levels of GTP share characteristics with profiles of gamers with dysfunctional gaming (e.g., problematic and/or addictive gaming).Keywords: Game Transfer Phenomena; excessive gaming; dysfunctional gaming; gaming addiction; psychiatric comorbidity; escapism IntroductionUnderstanding the effects virtual immersion has on the individual has been at the core of numerous studies concerning the effects of videogame playing. These studies have been conducted to either identify individuals 'at risk' to aversive effects of playing games or to identify which individuals get the most benefits from therapeutic interventions using virtual reality (Ling, Nefs, Brinkman, Qu, & Heynderickx, 2013). Other studies have attempted to distinguish between problematic and non-problematic gamers who invest substantial amounts of time playing (Király, Urbán, Griffiths et al., 2015;Pontes, Király, Demetrovics & Griffiths, 2014). For instance, brain differences such as variations in grey matter volume in the left anterior cingulate gyrus have been reported between pathological gamers and professional gamers. Disrupting functions in the anterior cingulate may affect individuals competence to monitor and inhibit improper behavior (Han, Lyoo, & Renshaw, 2012). It has also been demonstrated that problematic gaming leads to negative outcomes as a consequence of excessive videogame play (e.g., social problems, relationship problems, occupational problems, educational problems, etc.) and sleep disturbances (e.g., daytime sleepiness, insomnia) (Achab et al., 2011;Fossum, Nordnes, Storemark, Bjorvatn, & Pallesen, 2014;Lam, 2014;Van Rooij, Kuss, Shorter, Schoenmakers, & Van de Mheen, 2014). Such players may also have comorbid psychiatric disorders (e.g., anxiety, depression, substance use, ADHD, etc.) (Ferguson, Coulson, & Barnett, 2011;Gentile et al., 2011;Király et al., 2015;Kuss & Griffiths, 2012;Walther, Morgenstern, & Hanewinkel, 2012), and specific personality traits (e.g., neuroticism, schizoid traits, lower self-control, etc.) (Alliso...

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Resting Brain Activity Varies with Dream Recall Frequency Between Subjects

Cited by 90 publications

References 74 publications

Dynamic Default Mode Network across Different Brain States

Dynamic Default Mode Network across Different Brain States

Contribution of REM sleep and N2 sleep spindles to procedural memory consolidation in Vipassana meditators and non-meditating controls.

An empirical examination of factors associated with Game Transfer Phenomena severity

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