中文(简体)
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Acta Biotheoretica 1999

Implication of gamma band in soman-induced seizures.

只有注册用户可以翻译文章
登陆注册
链接已保存到剪贴板
G Testylier
L Tonduli
G Lallement

关键词

抽象

Soman, an anticholinesterasic neurotoxic drug, induces epileptic seizures during severe intoxication. Their trigger conditions still remain unknown and a great variability between animals is observed. The butterfly model in the catastrophe theory has been used to explain these triggering conditions. We have developed a technique allowing, in freely moving rats, the "in vivo" determination of three sets of neurophysiological data, followed before and during a soman intoxication. For the same rat, we associated cortical acetylcholinesterase (AChE) activity by microdialysis with both the assay of extracellular acetylcholine (ACh) concentrations and electroencephalographic (EEG) recording and power spectrum analysis (gamma band). Data have been analysed to define the critical parameters which lead to the epileptic fit. Although we found thresholds for seizure occurrence, AChE inhibition having to be over 65% and ACh over 200 fold the baseline, these two criteria are not sufficient to predict the appearance of seizures. Only animals with no increase of energy in the gamma band early after soman poisoning will then exhibit an epileptic fit. The butterfly model provides an original interpretation of these results and gives a particular role of the energy in gamma band as a survival attractor.

加入我们的脸书专页

科学支持的最完整的草药数据库

  • 支持55种语言
  • 科学支持的草药疗法
  • 通过图像识别草药
  • 交互式GPS地图-在位置标记草药(即将推出)
  • 阅读与您的搜索相关的科学出版物
  • 通过药效搜索药草
  • 组织您的兴趣并及时了解新闻研究,临床试验和专利

输入症状或疾病,并阅读可能有用的草药,输入草药并查看所使用的疾病和症状。
*所有信息均基于已发表的科学研究

Google Play badgeApp Store badge