Related Experiment Video
Updated: Aug 1, 2025

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
Published on: August 2, 2017
Origin, synchronization, and propagation of sleep slow waves in children
Anna Castelnovo1, Althea Lividini2, Brady A Riedner3
1Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ospedale Civico, Lugano, Switzerland; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland; University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
Insights
Children
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Sleep Research
Background:
- Sleep slow wave activity (EEG delta power) changes significantly with development, reflecting brain maturation.
- Individual slow wave characteristics (origin, synchronization, propagation) across development are not well understood.
- Understanding these changes is crucial for assessing neurodevelopmental trajectories.
Purpose of the Study:
- To characterize individual slow wave properties in children versus adults.
- To investigate age-dependent variations in slow wave origin, synchronization, and cortical propagation.
- To explore how these properties change during the transition from childhood to adulthood.
Main Methods:
- Analyzed high-density EEG recordings from healthy children (10.3 ± 1.5 years) and adults (31.1 ± 4.4 years).
- Utilized validated algorithms to detect and characterize non-rapid eye movement (NREM) sleep slow waves.
- Compared slow wave properties including size, steepness, spread, origin, and hemispheric involvement.
Main Results:
- Children's slow waves were larger, steeper, but less widespread than adults'.
- Slow waves in children predominantly originated from and spread over posterior brain regions.
- Children's slow waves showed greater involvement and origin in the right hemisphere compared to the left.
Conclusions:
- Observed changes in slow wave properties align with developmental shifts in brain connectivity.
- These findings suggest slow wave characteristics can serve as a metric for tracking neurodevelopment.
- This research provides insights into physiological and potentially pathological brain development.
Study Objectives:
Sleep slow wave activity, as measured using EEG delta power (<4 Hz), undergoes significant changes throughout development, mirroring changes in brain function and anatomy. Yet, age-dependent variations in the characteristics of individual slow waves have not been thoroughly investigated. Here we aimed at characterizing individual slow wave properties such as origin, synchronization, and cortical propagation at the transition between childhood and adulthood.
Methods:
We analyzed overnight high-density (256 electrodes) EEG recordings of healthy typically developing children (N = 21, 10.3 ± 1.5 years old) and young healthy adults (N = 18, 31.1 ± 4.4 years old). All recordings were preprocessed to reduce artifacts, and NREM slow waves were detected and characterized using validated algorithms. The threshold for statistical significance was set at p = 0.05.
Results:
The slow waves of children were larger and steeper, but less widespread than those of adults. Moreover, they tended to mainly originate from and spread over more posterior brain areas. Relative to those of adults, the slow waves of children also displayed a tendency to more strongly involve and originate from the right than the left hemisphere. The separate analysis of slow waves characterized by high and low synchronization efficiency showed that these waves undergo partially distinct maturation patterns, consistent with their possible dependence on different generation and synchronization mechanisms.
Conclusions:
Changes in slow wave origin, synchronization, and propagation at the transition between childhood and adulthood are consistent with known modifications in cortico-cortical and subcortico-cortical brain connectivity. In this light, changes in slow-wave properties may provide a valuable yardstick to assess, track, and interpret physiological and pathological development.
Related Concept Videos
Sleep-Wake Cycles
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
Stages of Sleep
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
Understanding Sleep
The circadian rhythm, a nearly 24-hour cycle, is deeply influenced by environmental light cues. Light exposure directly affects the hypothalamus, which in turn regulates...
Overview of Synapses
REM Sleep Behavior Disorder
RBD is significantly associated with...
Brain Waves

