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Published on: August 2, 2017
Developmental changes in the human sleep EEG during early adolescence
Leila Tarokh1, Mary A Carskadon
1EP Bradley Hospital Sleep and Chronobiology Research Laboratory, Center for Alcohol and Addiction Studies, Brown University, Providence, RI 02906, USA. Leila_Tarokh@Brown.edu
Insights
This study tracked sleep electroencephalogram (EEG) changes in adolescents. Findings show frequency-specific declines in EEG spectral power during sleep, potentially indicating synaptic pruning.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Sleep Science
Background:
- The human sleep electroencephalogram (EEG) undergoes significant changes during adolescence.
- Understanding these developmental shifts is crucial for identifying normative brain maturation processes.
Purpose of the Study:
- To characterize developmental changes in the human sleep EEG using time-frequency analysis in early adolescence.
- To investigate longitudinal alterations in sleep EEG spectral power during this developmental period.
Main Methods:
- A longitudinal study involving 14 healthy children (ages 9-10 at baseline, 11-13 at follow-up).
- All-night polysomnography was conducted at two time points, with sleep stages scored using standard criteria.
- Time-frequency analysis was applied to EEG spectral data from central and occipital leads during NREM and REM sleep.
Main Results:
- A significant decrease in slow-wave sleep minutes (-29%) and an increase in stage 2 sleep minutes (+17%) were observed.
- Overall EEG power decreased across NREM and REM sleep, particularly in the delta/theta bands (3.8-7 Hz).
- This decline was frequency-specific and more pronounced in certain brain regions, with a higher peak frequency in the sigma band at follow-up.
Conclusions:
- Early adolescent maturation is associated with asymmetrical, frequency-specific declines in sleep EEG spectral power.
- These changes may represent early indicators of cortical synaptic pruning in healthy adolescents.
- Longitudinal EEG analysis provides insights into neurodevelopmental processes during adolescence.
Study Objectives:
To use time-frequency analysis to characterize developmental changes in the human sleep electroencephalogram (EEG) across early adolescence.
Design:
Sleep EEG was recorded when children were 9/10 years old and 1 to 3 years later after sleeping at home on a fixed schedule for at least one week.
Setting:
A 4-bed sleep laboratory.
Participants:
Fourteen (5 girls) healthy children ages 9/10 (mean = 10.13, SD = +/- 0.51) years at initial and 11 to 13 (mean = 12.28, SD = +/- 0.62) years at follow-up.
Interventions:
N/A.
Measurements And Results:
All-night polysomnography was performed at each assessment and sleep stages were scored with Rechtschaffen and Kales criteria. Slow wave sleep minutes decreased from the initial to the follow-up session by 29%, while minutes of stage 2 increased by 17%. NREM and REM sleep EEG spectra from two central and two occipital leads were examined for developmental changes. All-night analyses showed a significant decrease of EEG power from the initial to follow-up session across a range of frequencies during NREM and REM sleep. This decline occurred across leads and states in the delta/theta bands (3.8 - 7 Hz). Time-frequency analyses indicated that this effect was consistent across the night. The decline in power with age was most pronounced in the left central and right occipital leads. The frequency of greatest power in the sigma band (11 - 16 Hz) was significantly higher at follow-up.
Conclusions:
This longitudinal analysis highlights asymmetrical frequency-specific declines in sleep EEG spectral power with early adolescent maturation, which may reflect early signs of the cortical synaptic pruning in the healthy adolescent.
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