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  • 1
    ISSN: 1432-2072
    Keywords: Epilepsy ; Serotonin ; Fluoxetine ; Gepirone ; Long-term treatment ; Hippocampus
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract This study assessed the effects of acute as well as long-term administration of fluoxetine, a selective serotonin (5-HT) reuptake inhibitor with anti-depressant properties, on hippocampal (HIP) seizures elicited by electrical stimulation in rats. The fluoxetine effect on HIP seizures was also assessed following long-term treatment with gepirone, a 5-HT1A receptor agonist. Acute single administration of fluoxetine (1, 10 mg/kg; IP) was found to produce no significant effect on HIP seizure activity. Following daily IP administration of fluoxetine (10 mg/kg per day) or gepirone (10 mg/kg per day) for 21 days, animals were given a 7-day drug-free period and then challenged with an acute dose of 10 mg/kg fluoxetine. These treatment regimens resulted in a significantly increased afterdischarge threshold of HIP seizures in response to acute fluoxetine administration. The inhibitory effect of fluoxetine, however, was not present 4 weeks after long-term treatment with either fluoxetine or gepirone. The present results indicate that long-term treatment with these compounds enhances the antiepileptic effect of subsequent fluoxetine administration on the generation of HIP seizures. This effect is possibly related to the well-demonstrated evidence that fluoxetine and gepirone, on long-term treatment, facilitate net 5-HT neurotransmission through desensitization of presynaptic 5-HT autoreceptors.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Artificial life and robotics 2 (1998), S. 91-95 
    ISSN: 1614-7456
    Keywords: Automatic EEG interpretation ; Awake EEG ; Realization of artifical intelligence ; Neural network
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract A fully automatic interpretation of an awake electroencephalogram (EEG) has been developed. Automatic integrative EEG interpretation consists of four main parts: quantitative EEG interpretation, EEG report making, preprocessing of EEG data, and adaptable EEG interpretation. Automatic integrative EEG interpretation reveals essentially the same findings as those of an electroencephalographer (EEGer), and is therefore applicable in clinical situations as an additional tool for the EEGer. The method has been developed through collaboration between the engineering field (Saga University) and the medical field (Kyoto University). This work can be understood as a realization of artificial intelligence. The procedure for this realization of artificial intelligence will also be applicable in other fields of systems control.
    Type of Medium: Electronic Resource
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