[Evolution over time of the electroencephalographic signal. Application in pharmacology].
The dynamics of transition from wakefulness to drowsiness can be modified by psycho-active compounds. These two states of vigilance have different electroencephalographic characteristics, which can be also modified by the administration of substances. This paper describes a method intended to discriminate between these two aspects of drug action, using a mini-computer. Investigation of sleep-wakefulness cycles with continuous EEG and EMG recording necessitates an efficient method of data reduction. On-line computation of Hjorth parameters with a micro-computer, and further processing witha mini-computer has been used. A pharmacological approach to the study of sleep-wakefulness cycles is proposed; this avoids a strict distinction of sleep phases, and concentrates on the coninuum of vigilance states. Differents ways of showing drug-induced modifications on that continuum are presented with examples.
D000328:Adult; D000818:Animals; D003913:Dextroamphetamine / Q000494:pharmacology; D003975:Diazepam / Q000494:pharmacology; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D007099:Imipramine / Q000494:pharmacology; D008297:Male; D011619:Psychotropic Drugs / Q000494:pharmacology*; D051381:Rats; D012890:Sleep / Q000187:drug effects; D012894:Sleep Stages / Q000187:drug effects*; D012895:Sleep, REM / Q000187:drug effects; D013997:Time Factors; D014851:Wakefulness / Q000187:drug effects
D011619:Psychotropic Drugs; D007099:Imipramine; D003975:Diazepam; D003913:Dextroamphetamine
Evolution temporelle du signal électroencéphalographique. Applications en pharmacologie.