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. 2018 Nov 1;41(11):zsy165.
doi: 10.1093/sleep/zsy165.

Across-night dynamics in traveling sleep slow waves throughout childhood

Affiliations

Across-night dynamics in traveling sleep slow waves throughout childhood

Sarah F Schoch et al. Sleep. .

Abstract

Study objectives: Sleep slow waves behave like traveling waves and are thus a marker for brain connectivity. Across a night of sleep in adults, wave propagation is scaled down, becoming more local. Yet, it is unknown whether slow wave propagation undergoes similar across-night dynamics in childhood-a period of extensive cortical rewiring.

Methods: High-density electroencephalography (EEG; 128 channels) was recorded during sleep in three groups of healthy children: 2.0-4.9 years (n = 11), 5.0-8.9 years (n = 9) and 9.0-16.9 years (n = 9). Slow wave propagation speed, distance, and cortical involvement were quantified. To characterize across-night dynamics, the 20% most pronounced (highest amplitude) slow waves were subdivided into five time-based quintiles.

Results: We found indications that slow wave propagation distance decreased across a night of sleep. We observed an interesting interaction of across-night slow wave propagation dynamics with age (p < 0.05). When comparing the first and last quintiles, there was a trend level difference between age groups: 2- to 4.9-year-old children showed an 11.9% across-night decrease in slow wave propagation distance, which was not observed in the older two age groups. Regardless of age, cortical involvement decreased by 10.4%-23.7% across a night of sleep. No across-night changes were observed in slow wave speed.

Conclusions: Findings provide evidence that signatures of brain connectivity undergo across-night dynamics specific to maturational periods. These results suggest that across-night dynamics in slow wave propagation distance reflect heightened plasticity in underlying cerebral networks specific to developmental periods.

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Figures

Figure 1.
Figure 1.
Slow wave propagation metrics. Slow wave propagation was quantified with three key metrics: slow wave distance, slow wave speed and cortical involvement.
Figure 2.
Figure 2.
Number of slow waves detected in each age group: between 813 and 7281 waves were detected (813–4845 excluding the outlier). 9- to 16.9-year-olds exhibited significantly more slow waves compared to 2- to 4.9-year-olds or 5- to 8.9-year-old children (p = 0.02). *p < 0.05; **p < 0.01; N = 29; “ns” not significant, N=29.
Figure 3.
Figure 3.
Across-night changes in slow wave propagation. (A) Slow wave distance decreased from the first to the last quintile in 2- to 4.9-year-old children (by 11.9%) but not in 5- to 8.9-year-old children and 9- to 16.9-year-olds. (B) Across-night decreased in cortical involvement across the night independent of age. (C) Across-night dynamics in slow wave speed. There was a trend for an age × quintile interaction; however, no group differences were found in changes from the first to the last quintile. The shaded area represents the SEM. *p < 0.05; n = 29.
Figure 4.
Figure 4.
Slow wave whole night mean data. (A) 9- to 16.9-year-olds exhibited significantly longer slow wave propagation distance than 2- to 4.9-year-old children. (B) No significant difference was apparent between age groups in slow wave cortical involvement, yet a trend was observed for increased cortical involvement in 9- to 16.9-year-olds compared to 5- to 8.9-year-old children. (C) Slow wave speed differed between 2- to 4.9-year-olds and 5- to 8.9-year-old children at trend level. Mean ± SEM is shown. *p = 0.05; **p < 0.01; N = 29.

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