The effects of a number of psycho-active drugs on electrocorticographic activity (ECoG) of the rat have been studied. Frontoparietal ECoG was recorded during 6-min periods immediately before drug/vehicle administration and starting at 20 and 45 min after administration. For each 6-min recording time, a mean power spectrum was calculated and smoothed. A quotient of the power at 20 and 45 min after and before drug, respectively, was then calculated. These quotients were used as input for an analysis of variance, followed by a t test and a normalization for the degrees of freedom, resulting in so-called n-profiles. Although each drug has its own characteristic n-profile, n-profiles of drugs belonging to the same clinical class have some characteristics in common. An automated classification system of psychotropic drugs, based on parameters extracted from n-profiles by discriminant analysis, is presented. For the antidepressant drug class the success rate of correct classification of antidepressant drugs is between 53 and 88%, for a neuroleptic drug in the neuroleptic drug class the success rate is 87%, for an anxiolytic drug in the anxiolytic drug class 100% and for a psychostimulant drug in the psycho-stimulant drug class between 86 and 100%. For a reliable classification of a drug about 10 n-profiles of active doses are needed. Using n-profiles, it appeared also possible to discriminate between antidepressant, neuroleptic, anxiolytic and psychostimulant drugs based on visual judgement. Moreover, visual evaluation of the n-profiles enables 4 subclasses to be recognized within the antidepressant class, 2 subclasses within the neuroleptic and 2 subclasses within the anxiolytic class.
The effects of drugs on electrocorticographic activity (ECoG) of the rat are studied in a routine screen. ECoG is recorded for 6-min periods before drug/ vehicle administration and starting at 20 and 45 min thereafter. For each period, a mean power spectrum is calculated. Drugs are tested in 25 rats according to a 5 × 5 Latin square design and effects are assessed with analysis of variance. The validity of this assessment depends on assumptions on the chosen statistical model and the distribution of the data. In this study we consider the relative and absolute baseline corrected data. The assumptions appear to be better fulfilled if together with a relative baseline correction a logarithmic transformation is applied to the data.
The aim of this study was to investigate the effects of chronic administration of desimipramine (DMI) after 2, 7 or 20 mg/kg per day, administered by osmotic minipumps, on electrocortical activity and beta-adrenergic receptors in rat brain. Rats receiving DMI chronically show a dose- and time-dependent increase of electrocortical activity above 15 Hz as well as a dose- and time-dependent decrease below 15 Hz. Already after 3 days of treatment a clear effect on the electrocorticogram (ECoG) was seen. The maximal change in the ECoG was reached at the end of the study, after 24 days of treatment. After acute treatment (20 and 45 minutes after 2, 4 or 10 mg/kg i.p.) with DMI, a decrease of electrocortical activity is seen above 15 Hz. Thus the effect of acute DMI treatment on the ECoG is different from that of chronic treatment. In the same group of rats the effect of chronic DMI treatment on the beta-adrenergic receptor number was determined 24 hours after the last ECoG recording. The number of beta-adrenergic receptors was dose dependently reduced in the DMI-treated rats as determined by [3H]-dihydroalprenolol binding. There was no change in affinity (KD) of the ligand for the beta-receptor. This finding was corroborated by a decrease in the functional activity of the beta-adrenergic receptors, as determined by isoprenaline stimulated efflux of cyclic-AMP in cortex slices. These data indicate that chronic treatment with DMI, resulting in a down-regulation of the cortical beta-adrenergic system, is paralleled by pronounced effects on the ECoG of rats. The different ECoG profiles after chronic DMI treatment compared with acute treatment suggest that adaptive changes in the electrical brain activity continually develop during the chronic treatment with this antidepressant drug.
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