• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Predicting the Stimulation Effectiveness Using Pre-stimulation Neural States via Optogenetic Activation of the Medial Septum Glutamatergic Neurons Modulating the Hippocampal Neural Activity
【24h】

Predicting the Stimulation Effectiveness Using Pre-stimulation Neural States via Optogenetic Activation of the Medial Septum Glutamatergic Neurons Modulating the Hippocampal Neural Activity

机译：通过致刺激神经状态通过神经外隔谷氨酸神经元调节海马神经活性的刺激神经状态来预测刺激效果

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this study, we explored the role of prestimulation neural states on the effectiveness of optogenetic stimulation. Optogenetic stimulation was applied to the medial septum glutamatergic neurons to modulate the hippocampal neural activity in a rat tetanus toxin seizure model. The hippocampal local field potential was recorded using a multi electrode array in an awake and behaving rat. Optical stimulation with a 465nm light source was applied at 35Hz in a 20 seconds off/20 seconds on pattern with simultaneous recording from the hippocampus. Both the baseline and the stimulation period recordings were divided into 2 second segments and used for the further analysis. In the first experiment, a support vector machine (SVM) model classified the neural states by using spectral features between 0 and 50Hz. 447 out of 545 segments (82.02%) were correctly labeled as 'Baseline' while only 326 out of 544 (59.93%) segments from the stimulation period were correctly labeled as 'Stimulation.' As the ratio of mislabels is significantly higher for the stimulation period (chi-squared, p<0.01), we concluded that the stimulation was not always effective. In the second experiment, an SVM model predicted the stimulation effectiveness using the spectral features of the pre-stimulation segments. The classification result shows that 63.7% of the pre-stimulation segments correctly predicted the stimulation effectiveness. These findings suggest that the prediction of the stimulation effectiveness may improve the stimulation efficacy by implementing a state-based stimulation protocol.
机译：在这项研究中，我们探讨了孕刺激神经状态对致敏刺激的有效性的作用。将致素刺激应用于内侧隔子谷氨酸神经元，以调节大鼠破伤风毒素癫痫发作模型中的海马神经活性。使用多电极阵列在唤醒和表现大鼠中记录海马局部场电位。用465nm光源的光学刺激在35Hz上施加在20秒的距离/ 20秒上，在图案上，从海马同时记录。基线和刺激周期记录都分为2个秒分段，并用于进一步分析。在第一次实验中，支持向量机（SVM）模型通过在0到50Hz之间使用光谱特征来分类神经状态。在545个段中的447个（82.02％）被正确标记为“基线”，而刺激期的544个（59.93％）分段只有326个被正确标记为“刺激”。随着刺激期的误标记的比例显着高（Chi-Squared，P <0.01），我们得出结论，刺激并不总是有效的。在第二实验中，SVM模型使用预刺激段的光谱特征预测了刺激效果。分类结果表明，63.7％的预刺激段正确预测了刺激效果。这些发现表明，通过实施基于状态的刺激方案，刺激效果的预测可以改善刺激功效。

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