114 related articles for article (PubMed ID: 25707304)
1. Network inference in the presence of latent confounders: the role of instantaneous causalities.
Elsegai H; Shiells H; Thiel M; Schelter B
J Neurosci Methods; 2015 Apr; 245():91-106. PubMed ID: 25707304
[TBL] [Abstract][Full Text] [Related]
2. Assessing the strength of directed influences among neural signals: an approach to noisy data.
Sommerlade L; Thiel M; Mader M; Mader W; Timmer J; Platt B; Schelter B
J Neurosci Methods; 2015 Jan; 239():47-64. PubMed ID: 25256644
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Granger-Causality Inference of the Existence of Unobserved Important Components in Network Analysis.
Elsegai H
Entropy (Basel); 2021 Jul; 23(8):. PubMed ID: 34441134
[TBL] [Abstract][Full Text] [Related]
5. How to detect the Granger-causal flow direction in the presence of additive noise?
Vinck M; Huurdeman L; Bosman CA; Fries P; Battaglia FP; Pennartz CM; Tiesinga PH
Neuroimage; 2015 Mar; 108():301-18. PubMed ID: 25514516
[TBL] [Abstract][Full Text] [Related]
6. The impact of latent confounders in directed network analysis in neuroscience.
Ramb R; Eichler M; Ing A; Thiel M; Weiller C; Grebogi C; Schwarzbauer C; Timmer J; Schelter B
Philos Trans A Math Phys Eng Sci; 2013 Aug; 371(1997):20110612. PubMed ID: 23858480
[TBL] [Abstract][Full Text] [Related]
7. Detectability of Granger causality for subsampled continuous-time neurophysiological processes.
Barnett L; Seth AK
J Neurosci Methods; 2017 Jan; 275():93-121. PubMed ID: 27826091
[TBL] [Abstract][Full Text] [Related]
8. The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference.
Barnett L; Seth AK
J Neurosci Methods; 2014 Feb; 223():50-68. PubMed ID: 24200508
[TBL] [Abstract][Full Text] [Related]
9. Partial Granger causality--eliminating exogenous inputs and latent variables.
Guo S; Seth AK; Kendrick KM; Zhou C; Feng J
J Neurosci Methods; 2008 Jul; 172(1):79-93. PubMed ID: 18508128
[TBL] [Abstract][Full Text] [Related]
10. Comparative performance evaluation of data-driven causality measures applied to brain networks.
Fasoula A; Attal Y; Schwartz D
J Neurosci Methods; 2013 May; 215(2):170-89. PubMed ID: 23537932
[TBL] [Abstract][Full Text] [Related]
11. Causal inference in neuronal time-series using adaptive decomposition.
Rodrigues J; Andrade A
J Neurosci Methods; 2015 Apr; 245():73-90. PubMed ID: 25721270
[TBL] [Abstract][Full Text] [Related]
12. The effect of filtering on Granger causality based multivariate causality measures.
Florin E; Gross J; Pfeifer J; Fink GR; Timmermann L
Neuroimage; 2010 Apr; 50(2):577-88. PubMed ID: 20026279
[TBL] [Abstract][Full Text] [Related]
13. Joint EEG/fMRI state space model for the detection of directed interactions in human brains--a simulation study.
Lenz M; Musso M; Linke Y; Tüscher O; Timmer J; Weiller C; Schelter B
Physiol Meas; 2011 Nov; 32(11):1725-36. PubMed ID: 22027197
[TBL] [Abstract][Full Text] [Related]
14. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis.
Sato JR; Fujita A; Cardoso EF; Thomaz CE; Brammer MJ; Amaro E
Neuroimage; 2010 Oct; 52(4):1444-55. PubMed ID: 20472076
[TBL] [Abstract][Full Text] [Related]
15. A graphical approach for evaluating effective connectivity in neural systems.
Eichler M
Philos Trans R Soc Lond B Biol Sci; 2005 May; 360(1457):953-67. PubMed ID: 16087440
[TBL] [Abstract][Full Text] [Related]
16. Assessing dynamic spectral causality by lagged adaptive directed transfer function and instantaneous effect factor.
Xu H; Lu Y; Zhu S; He B
IEEE Trans Biomed Eng; 2014 Jul; 61(7):1979-88. PubMed ID: 24956616
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A critical assessment of connectivity measures for EEG data: a simulation study.
Haufe S; Nikulin VV; Müller KR; Nolte G
Neuroimage; 2013 Jan; 64():120-33. PubMed ID: 23006806
[TBL] [Abstract][Full Text] [Related]
19. Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability.
Faes L; Porta A; Nollo G
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():1789-92. PubMed ID: 26736626
[TBL] [Abstract][Full Text] [Related]
20. Granger causality and information flow in multivariate processes.
Blinowska KJ; Kuś R; Kamiński M
Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Nov; 70(5 Pt 1):050902. PubMed ID: 15600583
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
