首页> 外文会议>International Conference on Biomedical Engineering >Advances in Neural Signal Processing and Modeling: Dynamics of the Respiratory Neural Networks during Maturation (Abstract)
【24h】

Advances in Neural Signal Processing and Modeling: Dynamics of the Respiratory Neural Networks during Maturation (Abstract)

机译:神经信号处理和建模的进步:成熟期间呼吸神经网络的动态(摘要)

获取原文

摘要

Previous studies in various animal models have shown that respiratory premotor and motor neurons undergo rapid changes in biochemical and bioelectric properties during the first month of postnatal life. Early in postnatal life, there is an increase in the complexity of the morphology of the dendritic tree of respiratory neurons as it changes from a bipolar to a multipolar morphology. During normal breathing (eup-nea), the phrenic nerve has a slow, ramping output which reflects the orderly recruitment of phrenic motoneurons throughout inspiration when viewed in the time domain. Hy-percapnia stimulates the respiratory system increasing both the respiratory frequency and amplitude. During severe hypoxia, the output of the phrenic nerve initially increases then, with prolonged hypoxia, falls to zero. Phrenic activity returns with a completely different firing pattern, gasping. During gasping the phrenic nerve fires with an abrupt onset and rises rapidly to maximal neural activity with a decrementing decline. During recovery from hypoxia, a variety of respiratory patterns between eupnea and gasping are seen in the time domain.
机译:以前的各种动物模型的研究表明,在第一个月生命期间,呼吸急运动员和运动神经元在第一个月内的生物化学和生物电性能的快速变化。在产后早期的早期,呼吸神经元树突树的形态的复杂性增加,因为它从双极变化到多极形态。在正常呼吸(EUP-NEA)期间,膈神经具有缓慢,斜坡的输出,当在时域观察时,反映了整个灵感的膈肌运动神经元的有序募集。 Hy-Percapnia刺激呼吸系统增加呼吸频率和振幅。在严重的缺氧期间,膈神经的输出最初增加,随后,延长缺氧,跌至零。膈活动以完全不同的烧制模式返回喘气。在喘气期间,膈神经突出发病,并迅速上升,以衰减下降。在缺氧中恢复期间,在时域中看到了eupnea和喘气之间的各种呼吸模式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号