Assessing cortical functional connectivity by partial directed coherence:: Simulations and application to real data

被引:108
作者
Astolfi, Laura [1 ]
Cincotti, Febo
Mattia, Donatella
Marciani, M. G.
Baccala, Luis A.
Fallani, Fabrizio de Vico
Salinari, Serenella
Ursino, Mauro
Zavaglia, Melissa
Babiloni, Fabio
机构
[1] Univ Roma La Sapienza, Dip Informat & Sistemist, I-20133 Rome, Italy
[2] Univ Roma La Sapienza, Dipartimento Fisiol Umana & Farmacol, I-20133 Rome, Italy
[3] IRCCS Fdn Santa Lucia, I-00179 Rome, Italy
[4] Univ Sao Paulo, Dept Telecommun & Control Engn, Escola Politecn, BR-05315 Sao Paulo, Brazil
[5] Univ Roma La Sapienza, Dipartimento Informat & Sistemist, I-20133 Rome, Italy
[6] Univ Bologna, DEIS, I-40126 Bologna, Italy
[7] IRCCS Fdn Santa Lucia, I-00179 Rome, Italy
关键词
foot movement; high-resolution EEG; partial directed coherence;
D O I
10.1109/TBME.2006.873692
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The aim of this paper is to test a technique called partial directed coherence (PDC) and its modification (squared PDC; sPDC) for the estimation of human cortical connectivity by means of simulation study, in which both PDC and sPDC were studied by analysis of variance. The statistical analysis performed returned that both PDC and sPDC are able to estimate correctly the imposed connectivity patterns when data exhibit a signal-to-noise ratio of at least 3 and a length of at least 27 s of nonconsecutive recordings at 250 Hz of sampling rate, equivalent, more generally, to 6750 data samples.
引用
收藏
页码:1802 / 1812
页数:11
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