Sleepless and Desynchronized: Impaired Inter Trial Phase Coherence of Steady-State Potentials Following Sleep Deprivation

Eidelman-Rothman, Moranne; Ben-Simon, Eti; Freche, Dominik; Keil, Andreas; Hendler, Talma; Levit‐Binnun, Nava

doi:10.1101/471730

Cited by 4 publications

(3 citation statements)

References 60 publications

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“…Unfortunately, most studies do not report whether or not there were responses at higher harmonics, as mentioned above. Moreover, when higher harmonic responses were reported to be present, they were often not described, for example, "Peaks were also present at the harmonics of the stimulus frequency but were not analyzed in this study" (Srinivasan et al, 1999, p. 5438); "Higher harmonics may play a role, especially at lower temporal frequencies (see, for example, the double peaks in the 12-Hz data in Figure 1), but these are not considered here" (Kremers, Rodrigues, Silveira, & da Silva Filho, 2010, p. 579); "Note however that 2 Hz is a harmonic of 1 Hz and may actually be a relevant spectral region to consider (albeit outside the scope of this report)" (Kosem, Gramfort, & Van Wassenhove, 2014, Figure S2; evident in figures but not discussed or included in analyses: Schettino, Porcu, Gundlach, Keitel, & Müller, 2020;Eidelman-Rothman et al, 2019;Chadnova et al, 2018;Winawer et al, 2013;Hönegger et al, 2011;Katzner et al, 2009;Pastor, Artieda, Arbizu, Valencia, & Masdeu, 2003;Pastor et al, 2002;Kaspar, Hassler, Martens, Trujillo-Barreto, & Gruber, 2001;Müller et al, 1998), preventing a wide-scale review.…”

Section: Higher Harmonicsmentioning

confidence: 99%

Harmonic Amplitude Summation for Frequency-tagging Analysis

Retter

Rossion

Schiltz

2021

Journal of Cognitive Neuroscience

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In the approach of frequency tagging, stimuli that are presented periodically generate periodic responses of the brain. Following a transformation into the frequency domain, the brain's response is often evident at the frequency of stimulation, F, and its higher harmonics (2F, 3F, etc.). This approach is increasingly used in neuroscience, as it affords objective measures to characterize brain function. However, whether these specific harmonic frequency responses should be combined for analysis—and if so, how—remains an outstanding issue. In most studies, higher harmonic responses have not been described or were described only individually; in other studies, harmonics have been combined with various approaches, for example, averaging and root-mean-square summation. A rationale for these approaches in the context of frequency-based analysis principles and an understanding of how they relate to the brain's response amplitudes in the time domain have been missing. Here, with these elements addressed, the summation of (baseline-corrected) harmonic amplitude is recommended.

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Section: Higher Harmonicsmentioning

confidence: 99%

Harmonic Amplitude Summation for Frequency-tagging Analysis

Retter

Rossion

Schiltz

2021

Journal of Cognitive Neuroscience

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“…Here, we expect to find the opposite: because attentional stability should degrade with time-on-task, resulting in more variability in the timing of stimulus processing, theta ITPC should decrease. Although to our knowledge no studies have specifically examined time-on-task effects, earlier studies have reported that fatigue (resulting from sleep deprivation) may decrease theta ITPC (Eidelman-Rothman et al, 2018;Hoedlmoser et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Sustaining attention for a prolonged period of time increases temporal variability in cortical responses

Reteig

Brink

Prinssen

et al. 2019

Cortex

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Our ability to stay focused is limited: prolonged performance of a task typically results in mental fatigue and decrements in performance over time. This so-called vigilance decrement has been attributed to depletion of attentional resources, though other factors such as reductions in motivation likely also play a role. In this study, we examined three EEG markers of attentional control, to elucidate which stage of attentional processing is most affected by time-on-task and motivation. To elicit the vigilance decrement, participants performed a sustained attention task for 80 minutes without breaks. After 60 minutes, participants were motivated by an unexpected monetary incentive to increase performance in the final 20 minutes. We found that task performance and self-reported motivation declined rapidly, reaching a stable levels well before the motivation manipulation was introduced. Thereafter, motivation increased back up to the initial level, and remained there for the final 20 minutes. While task performance also increased, it did not return to the initial level, and fell to the lowest level overall during the final 10 minutes. This pattern of performance changes was mirrored by the trial-to-trial consistency of the phase of theta (3-7 Hz) oscillations, an index of the variability in timing of the neural response to the stimulus. As task performance decreased, temporal variability increased, suggesting that attentional stability is crucial for sustained attention performance. The effects of attention on our two other EEG measures-early P1/N1 event-related potentials and pre-stimulus alpha (9-14 Hz) power-did not change with time-on-task or motivation. In sum, these findings show that the vigilance decrement is accompanied by a decline in only some facets of attentional control, which cannot be fully brought back online by increases in motivation. The vigilance decrement might thus not occur due to a single cause, but is likely multifactorial in origin.

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“…The stronger ITPC to UFVs reflects better temporal synchronization of brain responses to UFVs and therefore supports the notion of a transient window for information processing. That is, stimulus-induced phase modulations have been suggested to promote information processing and transmission in the cortex (Canavier, 2015;Lakatos et al, 2013;Voloh and Womelsdorf, 2016) and increased ITPC values have been associated with better cognitive performance (Hanslmayr et al, 2005;Eidelman-Rothman et al, 2019) and enhanced attention (Joon Kim et al, 2007) during wakefulness. Importantly, the narrower peak for the evoked KCs following UFVs (Fig.…”

Section: Discussionmentioning

confidence: 99%

The brain selectively tunes to unfamiliar voices during sleep

Ameen

Heib

Blume

et al. 2021

Preprint

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The brain continues to respond selectively to environmental stimuli even during sleep. However, the functional role of such responses, and whether they reflect information processing or rather sensory inhibition is not fully understood. Here, we presented 17 human sleepers (14 females) with their own name and two unfamiliar first names, spoken by either a familiar voice (FV) or an unfamiliar voice (UFV), while recording polysomnography during a full night of sleep. We detected K-complexes, sleep spindles, and micro-arousals, and then assessed event-related potentials, oscillatory power as well as inter-trial phase synchronization in response to the different stimuli presented during non-rapid eye movement (NREM) sleep. We show that UFVs evoke more K-complexes and micro-arousals than FVs. When both stimuli evoke a K-complex, we observed larger evoked potentials, higher oscillatory power in the high beta (>16Hz) frequency range, and stronger time-locking in the delta band (1-4 Hz) in response to UFVs relative to FVs. Crucially, these differences in brain responses disappear when no K-complexes are evoked by the auditory stimuli. Our findings highlight discrepancies in brain responses to auditory stimuli based on their relevance to the sleeper and propose a key role for K-complexes in the modulation of sensory processing during sleep. We argue that such content-specific, dynamic reactivity to external sensory information enables the brain to enter a sentinel processing mode in which it engages in the many important processes that are ongoing during sleep while still maintaining the ability to process vital information in the surrounding.

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Sleepless and Desynchronized: Impaired Inter Trial Phase Coherence of Steady-State Potentials Following Sleep Deprivation

Cited by 4 publications

References 60 publications

Harmonic Amplitude Summation for Frequency-tagging Analysis

Harmonic Amplitude Summation for Frequency-tagging Analysis

Sustaining attention for a prolonged period of time increases temporal variability in cortical responses

The brain selectively tunes to unfamiliar voices during sleep

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