Sleep homeostasis and slow oscillations in the human sleep EEG

نویسنده

  • P. Achermann
چکیده

Sleep homeostasis is a basic principle of sleep regulation. Slow-wave activity (spectral power in the 0.7-4.5 Hz range of the EEG) is a well-established corresponding indicator. Prominent features of the non-rapid-eye-movement sleep EEG are slow oscillations resulting from slow membrane potential fluctuations of cortical neurons. We investigated the behaviour of slow oscillations in humans under increased sleep pressure to assess their contribution to sleep homeostasis. We analyzed baseline and recovery sleep after 40 h of prolonged wakefulness. Negative half-waves, mainly reflecting down states, were defined as negative deflections between consecutive zero crossings in the 0.5-2 Hz range of the band-pass filtered EEG. Wave parameters (amplitude, number of half-waves per min and slope) were derived for two thresholds: a low threshold allowing the detection of approximately all negative half-waves and a higher one corresponding to the scoring rules of slow wave sleep. The number of detected high amplitude waves and amplitude and slope of all waves closely resembled slow-wave activity, indicating that slow oscillations contribute to sleep homeostasis.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Differential modulation of global and local neural oscillations in REM sleep by homeostatic sleep regulation.

Homeostatic rebound in rapid eye movement (REM) sleep normally occurs after acute sleep deprivation, but REM sleep rebound settles on a persistently elevated level despite continued accumulation of REM sleep debt during chronic sleep restriction (CSR). Using high-density EEG in mice, we studied how this pattern of global regulation is implemented in cortical regions with different functions and...

متن کامل

The Fine Structure of Slow-Wave Sleep Oscillations: from Single Neurons to Large Networks

The discovery that the electrical activity of the brain oscillates during sleep is almost as old as the discovery of the electroencephalogram (EEG). The first human EEG recordings already reported a propensity to show oscillations, of which type, frequency and amplitude highly depend on behavioral state (Berger 1929; see Fig. 4.1). In an alert, awake subject, the EEG is dominated by low-amplitu...

متن کامل

Transcranial Electrical Stimulation Accelerates Human Sleep Homeostasis

The sleeping brain exhibits characteristic slow-wave activity which decays over the course of the night. This decay is thought to result from homeostatic synaptic downscaling. Transcranial electrical stimulation can entrain slow-wave oscillations (SWO) in the human electro-encephalogram (EEG). A computational model of the underlying mechanism predicts that firing rates are predominantly increas...

متن کامل

Automatic Sleep Stages Detection Based on EEG Signals Using Combination of Classifiers

Sleep stages classification is one of the most important methods for diagnosis in psychiatry and neurology. In this paper, a combination of three kinds of classifiers are proposed which classify the EEG signal into five sleep stages including Awake, N-REM (non-rapid eye movement) stage 1, N-REM stage 2, N-REM stage 3 and 4 (also called Slow Wave Sleep), and REM. Twenty-five all night recordings...

متن کامل

In Most Species, Sleep Pressure Increases as a Function of the Time Spent Awake and Decreas- Es in the Course of Sleep, Indicating That Sleep

1631 IN MOST SPECIES, SLEEP PRESSURE INCREASES AS A FUNCTION OF THE TIME SPENT AWAKE AND DECREASES IN THE COURSE OF SLEEP, INDICATING THAT SLEEP is homeostatically regulated. There are several markers of sleep pressure, which reflect the fact that both the duration and the intensity of sleep are under homeostatic control.1 The best characterized physiological indicator of sleep intensity is the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010