2018
DOI: 10.3389/fnhum.2018.00248
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Local and Widespread Slow Waves in Stable NREM Sleep: Evidence for Distinct Regulation Mechanisms

Abstract: Previous work showed that two types of slow waves are temporally dissociated during the transition to sleep: widespread, large and steep slow waves predominate early in the falling asleep period (type I), while smaller, more circumscribed slow waves become more prevalent later (type II). Here, we studied the possible occurrence of these two types of slow waves in stable non-REM (NREM) sleep and explored potential differences in their regulation. A heuristic approach based on slow wave synchronization efficienc… Show more

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Cited by 133 publications
(149 citation statements)
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References 64 publications
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“…A time-resolved topographical analysis of the stimulation-related delta changes demonstrated a similar smooth transition between the near-vertex N350-like distribution and the frontocentral N550-like distribution within the first second after stimulation as found previously (Nicholas et al, 2002). K-complexes and the recently proposed type I slow waves (Siclari et al, 2014) are thought to be generated in sensorimotor areas and the medial parietal cortex and involve predominantly frontocentral regions (Bernardi et al, 2018;Caporro et al, 2012;Riedner et al, 2011;Siclari et al, 2014). Interestingly, stimulation-induced delta changes observed in our study were also distributed mainly in central areas, indirectly suggesting recruitment of the same neural mechanisms of slow-wave generation.…”
Section: Similarities Between Time-frequency Profiles Of Stimulation-supporting
confidence: 77%
“…A time-resolved topographical analysis of the stimulation-related delta changes demonstrated a similar smooth transition between the near-vertex N350-like distribution and the frontocentral N550-like distribution within the first second after stimulation as found previously (Nicholas et al, 2002). K-complexes and the recently proposed type I slow waves (Siclari et al, 2014) are thought to be generated in sensorimotor areas and the medial parietal cortex and involve predominantly frontocentral regions (Bernardi et al, 2018;Caporro et al, 2012;Riedner et al, 2011;Siclari et al, 2014). Interestingly, stimulation-induced delta changes observed in our study were also distributed mainly in central areas, indirectly suggesting recruitment of the same neural mechanisms of slow-wave generation.…”
Section: Similarities Between Time-frequency Profiles Of Stimulation-supporting
confidence: 77%
“…Slow wave detection. Slow waves were detected automatically in a composite EEG-signal generated from linked-mastoid referenced channels, as previously described (Siclari et al, 2014;Mensen et al, 2016;Bernardi et al, 2018). This method provides a unique time reference (across electrodes) for each slow wave and facilitates the detection of both local and widespread events (Mensen et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…Only half-waves with a duration comprised between 0.25 and 1.0 s were retained for further analyses. Of note, no amplitude thresholds were applied based on previous evidence indicating that: i) slow waves with peak-to-peak amplitude < 75µV show the clear homeostatic changes commonly attributed to the slow waves of NREM-sleep (Riedner et al, 2007;Bernardi et al, 2018); ii) the application of an amplitude threshold may actually preferentially select a minority of very large slow waves that have been shown to display different regulation and synchronization mechanisms as compared to the majority of slow waves (Siclari et al, 2014Mensen et al, 2016;Bernardi et al, 2018Bernardi et al, , 2019aSpiess et al, 2018). For all the detected slow waves, various parameters of interest were calculated and stored for a subsequent evaluation, including negative amplitude (µV), descending slope (between the first zerocrossing and the maximum negative peak; µV/ms) and involvement (mean EEG-signal calculated for all electrodes in an 80-ms window centered on the wave peak; µV).…”
Section: Methodsmentioning
confidence: 99%
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