Generalized partial directed coherence

被引：217

作者：

Baccala, Luiz A. ^{[1
]}

Sameshima, K. ^{[2
]}

Takahashi, D. Y. ^{[2
]}

机构：

[1] Univ Sao Paulo, Escola Politecn, Av Prof Luciano Gualberto,Tr 3,158, Sao Paulo, SP, Brazil

[2] Univ Sao Paulo, Fac Med, BR-05508 Sao Paulo, Brazil

来源：

PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年

基金：

巴西圣保罗研究基金会;

关键词：

neural connectivity; Granger Causality; partial directed coherence; hypothesis testing; variance stabilization;

D O I：

10.1109/ICDSP.2007.4288544

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper re-examines the definition of partial directed coherence (PDC) which was recently introduced as a linear frequency-domain quantifier of the multivariate relationship between simultaneously observed time. series for application in functional connectivity inference in neuroscience. The present reappraisal aims at improving PDC's performance under scenarios that involve severely unbalanced predictive modelling errors (innovanations noise). The present modification turns out to be more. robust in estimating imprecisions associated with finite time series samples.

引用

页码：163 / +

页数：2

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