In this study, the investigator evaluates whether there are age-specific diurnal changes in markers of cortical plasticity in children, adolescents and adults. The question will be investigated by the quantification of brain metabolites and structural brain volumes using magnet resonance imaging (MRI) and electrophysiological markers using sleep encephalography (sleep EEG). In a second step, it will be tested how these markers of cortical plasticity change depending on a modulation of sleep by applying tones during deep sleep.
Given that children and adolescents undergo entirely different maturational processes (children show an increase, adolescents a decrease in synapse density) larger diurnal changes in children are expected compared to adolescents concerning brain metabolites and structural markers. These cortical changes in synapse density are thought to be reflected in electrophysiological markers in the sleep EEG (children show a higher slow wave activity, adolescents a reduced slow wave activity). With the modulation of the deep (slow wave) sleep by playing short, low volume tones, the investigators want to test if there is a causal relationship between slow wave sleep and markers of cortical plasticity.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
SINGLE
Enrollment
90
Playing tones time locked to slow waves (Duration:50ms, volume: 50dB)
in the sham condition, no tones will be played
University Children's Hospital Zurich
Zurich, Switzerland
Diurnal changes in brain metabolites
concentration of brain metabolites measured by MR spectroscopy change from evening to morning
Time frame: 3 years
electrophysiological markers change in dependance of the diurnal variation of brain metabolites
electrophysiological markers (sleep EEG) change in dependance of the diurnal variation of brain metabolites
Time frame: 3 years
structural markers change in dependance of the diurnal variation of brain metabolites
structural markers (MR volumes) change in dependance of the diurnal variation of brain metabolites
Time frame: 3 years
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