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  • 1
    ISSN: 1432-1912
    Keywords: SR 41378 ; Aminopyridazines ; Barbiturates ; Benzodiazepines ; Quantitative EEG analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Quantitative electroencephalographic (QEEG) analysis was performed in rats following the oral administration of SR 41378 [3-(4-hydroxy-1-piperidinyl)-6-(2,4-dichlorophenyl)-pyridazine], a novel aminopyridazine derivative, which has been shown to possess anticonvulsant, antianxiety and hypnotic activities in mice and rats. The EEG effects of SR 41378 (10, 30 and 100 mg/kg) were compared to those of secobarbital (30 and 60 mg/kg) and diazepam (1, 3 and 10 mg/kg). SR 41378 and secobarbital increased the power of the middle-frequencies (8–16 Hz) of the EEG, reduced that of 4–8 Hz (theta) activities and did not affect 1–4 Hz (delta) activities. Diazepam also increased the power of middle-frequency activities and decreased that of both delta and theta activities. Quantitative EEG profiles were calculated from the mean integrated power (MIP) of selected frequency bands. The QEEG profile of SR 41378 was found to share common characteristics with those of secobarbital and diazepam: dose-dependent decrease of theta band MIP and increase of 8–20 Hz (middle beta bands) MIP. However, both SR 41378 and secobarbital induced a reduction of the 28–32 Hz (fast beta bands) MIP, whereas diazepam diminished the delta band. These results suggest that SR 41378, a novel chemical structure, shares common psychotropic properties with barbiturates and benzodiazepines.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1432-1912
    Keywords: Benzodiazepine inverse agonists ; Antagonists ; Vigilance enhancers ; Nootropics ; Computerized EEG analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary In order to assess the effects of inverse benzodiazepine agonists and antagonists on brain function, computerized EEG (CEEG) analysis was performed in rats following the i. p. administration of SR 95195 (7-phenyl-3-methyl-1,2,4 triazolo-[4,3-b]pyridazine) and CGS 8216 (2-phenylpyrazolo-[4,3c]-quinoline-3-[5H]-one) two benzodiazepine receptor inverse agonists (BRIAGs) and of flumazepil (Ro 15-1788), a benzodiazepine receptor antagonist (BRANT). The EEG effects of SR 95195 (3, 10, 30 and 60 mg/kg), CGS 8216 (10 and 30 mg/kg) and flumazepil (3, 10, 30 and 60 mg/kg) were compared to those of the psychostimulant drugs DL-amphetamine (0.1, 0.3 and 1 mg/kg), and caffeine (10 and 30 mg/kg) and those of aniracetam (100 and 300 mg/kg), a nootropic pyrrolidone derivative. The CEEG profiles of SR 95195, CGS 8216 and flumazepil were mainly characterized by a power increase in the 20–32 Hz frequency range and by a power reduction in the 8–16 Hz range. These effects were quite similar to those of the psychostimulants DL-amphetamine and caffeine as well as to those of the nootropic aniracetam. Other psychotropic drugs with CNS-depressant properties, namely diazepam (10 mg/kg p. o.), pentobarbital (30 mg/kg p. o.), chlorpromazine (10 mg/kg i.p.) and imipramine (10 mg/kg i.p.) induced quite different EEG power modifications. These results show that BRIAGs and BRANTs possess a marked intrinsic activity at the central level and suggest that this activity is CNS-activating in nature.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1432-2072
    Keywords: EEG ; Pentylenetetrazol ; Antiepileptic drugs ; Cluster analysis ; Rat
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract In order to validate a new animal model predictive of the profile of antiepileptic drugs, we studied the antagonism by standard antiepileptics of the EEG modifications induced by low-speed IV infusion of pentylenetetrazol (PTZ) in rats. The activity of the drugs was measured by their effects on temporal characteristics of the PTZ-induced EEG paroxysms. Most compounds had moderate to potent anti-PTZ effects, as shown by the changes in the EEG temporal parameters. However, these effects depended on the drugs and doses. Cluster analysis showed that drugs and doses which evoked similar changes were closely related and were included in separate clusters with respect to one another. In particular, the present results showed that benzodiazepines and antiepileptics cluster differently in their effects. Thus, this model could be a useful tool for assessing new antiepileptic drugs.
    Type of Medium: Electronic Resource
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