首页> 外文期刊>Journal of Neuroscience Methods >A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: Application to healthy aging in areas exhibiting cortical thinning
【24h】

A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: Application to healthy aging in areas exhibiting cortical thinning

机译:具有Dirichlet回归的广义部分定向连贯性的原则性多变量的跨性分析:在表现出皮质稀疏的地区健康老化的应用

获取原文
获取原文并翻译 | 示例
           

摘要

Background Generalized Partial Directed Coherence (GPDC) is a multivariate measure of predictability between functional timeseries defined in the frequency domain. However, analysis has often been constrained by its compositional nature. Specifically, the squared GPDC from a node region to all nodes in any given frequency must sum to one.
机译:背景技术广义部分定向的一致性(GPDC)是在频域中定义的功能性时期之间的可预测性的多元度量。 然而,分析通常受其组成性质的限制。 具体地,来自节点区域的平方GPDC在任何给定频率中的所有节点必须总和到一个。

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