282 related articles for article (PubMed ID: 16269188)
1. Testing for directed influences among neural signals using partial directed coherence.
Schelter B; Winterhalder M; Eichler M; Peifer M; Hellwig B; Guschlbauer B; Lücking CH; Dahlhaus R; Timmer J
J Neurosci Methods; 2006 Apr; 152(1-2):210-9. PubMed ID: 16269188
[TBL] [Abstract][Full Text] [Related]
2. Assessing the strength of directed influences among neural signals using renormalized partial directed coherence.
Schelter B; Timmer J; Eichler M
J Neurosci Methods; 2009 Apr; 179(1):121-30. PubMed ID: 19428518
[TBL] [Abstract][Full Text] [Related]
3. Linear and nonlinear causality between signals: methods, examples and neurophysiological applications.
Gourévitch B; Bouquin-Jeannès RL; Faucon G
Biol Cybern; 2006 Oct; 95(4):349-69. PubMed ID: 16927098
[TBL] [Abstract][Full Text] [Related]
4. Inference of Granger causal time-dependent influences in noisy multivariate time series.
Sommerlade L; Thiel M; Platt B; Plano A; Riedel G; Grebogi C; Timmer J; Schelter B
J Neurosci Methods; 2012 Jan; 203(1):173-85. PubMed ID: 21944999
[TBL] [Abstract][Full Text] [Related]
5. Detecting time-dependent coherence between non-stationary electrophysiological signals--a combined statistical and time-frequency approach.
Zhan Y; Halliday D; Jiang P; Liu X; Feng J
J Neurosci Methods; 2006 Sep; 156(1-2):322-32. PubMed ID: 16563517
[TBL] [Abstract][Full Text] [Related]
6. Nonlinear multivariate analysis of neurophysiological signals.
Pereda E; Quiroga RQ; Bhattacharya J
Prog Neurobiol; 2005; 77(1-2):1-37. PubMed ID: 16289760
[TBL] [Abstract][Full Text] [Related]
7. A nonlinear causality measure in the frequency domain: nonlinear partial directed coherence with applications to EEG.
He F; Billings SA; Wei HL; Sarrigiannis PG
J Neurosci Methods; 2014 Mar; 225():71-80. PubMed ID: 24472530
[TBL] [Abstract][Full Text] [Related]
8. On the spectral formulation of Granger causality.
Chicharro D
Biol Cybern; 2011 Dec; 105(5-6):331-47. PubMed ID: 22249416
[TBL] [Abstract][Full Text] [Related]
9. Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions.
Faes L; Nollo G
Biol Cybern; 2010 Nov; 103(5):387-400. PubMed ID: 20938676
[TBL] [Abstract][Full Text] [Related]
10. A new method using coherence to obtain the model order in the evaluation of partial directed coherence.
Thuraisingham RA
Comput Biol Med; 2007 Sep; 37(9):1361-5. PubMed ID: 17240367
[TBL] [Abstract][Full Text] [Related]
11. Reliability of multivariate causality measures for neural data.
Florin E; Gross J; Pfeifer J; Fink GR; Timmermann L
J Neurosci Methods; 2011 Jun; 198(2):344-58. PubMed ID: 21513733
[TBL] [Abstract][Full Text] [Related]
12. Stochastic modeling of neurobiological time series: power, coherence, Granger causality, and separation of evoked responses from ongoing activity.
Chen Y; Bressler SL; Knuth KH; Truccolo WA; Ding M
Chaos; 2006 Jun; 16(2):026113. PubMed ID: 16822045
[TBL] [Abstract][Full Text] [Related]
13. Measuring frequency domain granger causality for multiple blocks of interacting time series.
Faes L; Nollo G
Biol Cybern; 2013 Apr; 107(2):217-32. PubMed ID: 23358681
[TBL] [Abstract][Full Text] [Related]
14. Testing for Granger Causality in the Frequency Domain: A Phase Resampling Method.
Liu S; Molenaar P
Multivariate Behav Res; 2016; 51(1):53-66. PubMed ID: 26881957
[TBL] [Abstract][Full Text] [Related]
15. Development of interaction measures based on adaptive non-linear time series analysis of biomedical signals.
Leistritz L; Hesse W; Arnold M; Witte H
Biomed Tech (Berl); 2006 Jul; 51(2):64-9. PubMed ID: 16915767
[TBL] [Abstract][Full Text] [Related]
16. Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators.
Astolfi L; Cincotti F; Mattia D; De Vico Fallani F; Tocci A; Colosimo A; Salinari S; Marciani MG; Hesse W; Witte H; Ursino M; Zavaglia M; Babiloni F
IEEE Trans Biomed Eng; 2008 Mar; 55(3):902-13. PubMed ID: 18334381
[TBL] [Abstract][Full Text] [Related]
17. Analyzing event-related EEG data with multivariate autoregressive parameters.
Schlögl A; Supp G
Prog Brain Res; 2006; 159():135-47. PubMed ID: 17071228
[TBL] [Abstract][Full Text] [Related]
18. Testing frequency-domain causality in multivariate time series.
Faes L; Porta A; Nollo G
IEEE Trans Biomed Eng; 2010 Aug; 57(8):1897-906. PubMed ID: 20176533
[TBL] [Abstract][Full Text] [Related]
19. Detecting nonlinear oscillations in broadband signals.
Vejmelka M; Palus M
Chaos; 2009 Mar; 19(1):015114. PubMed ID: 19335018
[TBL] [Abstract][Full Text] [Related]
20. Time-varying linear and nonlinear parametric model for Granger causality analysis.
Li Y; Wei HL; Billings SA; Liao XF
Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Apr; 85(4 Pt 1):041906. PubMed ID: 22680497
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
