229 related articles for article (PubMed ID: 21335308)
1. A model selection method for nonlinear system identification based FMRI effective connectivity analysis.
Li X; Coyle D; Maguire L; McGinnity TM; Benali H
IEEE Trans Med Imaging; 2011 Jul; 30(7):1365-80. PubMed ID: 21335308
[TBL] [Abstract][Full Text] [Related]
2. A least angle regression method for fMRI activation detection in phase-encoded experimental designs.
Li X; Coyle D; Maguire L; McGinnity TM; Watson DR; Benali H
Neuroimage; 2010 Oct; 52(4):1390-400. PubMed ID: 20472078
[TBL] [Abstract][Full Text] [Related]
3. A nonlinear identification method to study effective connectivity in functional MRI.
Li X; Marrelec G; Hess RF; Benali H
Med Image Anal; 2010 Feb; 14(1):30-8. PubMed ID: 19850507
[TBL] [Abstract][Full Text] [Related]
4. Identification of neural activity based on fMRI data: a simulation study.
Hemmelmann D; Leistritz L; Witte H; Galicki M
J Physiol Paris; 2009 Nov; 103(6):353-60. PubMed ID: 19497366
[TBL] [Abstract][Full Text] [Related]
5. Functional connectivity analysis of fMRI data using parameterized regions-of-interest.
Weeda WD; Waldorp LJ; Grasman RP; van Gaal S; Huizenga HM
Neuroimage; 2011 Jan; 54(1):410-6. PubMed ID: 20637877
[TBL] [Abstract][Full Text] [Related]
6. Kernel Granger causality mapping effective connectivity on FMRI data.
Liao W; Marinazzo D; Pan Z; Gong Q; Chen H
IEEE Trans Med Imaging; 2009 Nov; 28(11):1825-35. PubMed ID: 19709972
[TBL] [Abstract][Full Text] [Related]
7. Using nonlinear models in fMRI data analysis: model selection and activation detection.
Deneux T; Faugeras O
Neuroimage; 2006 Oct; 32(4):1669-89. PubMed ID: 16844388
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A nonlinear regression model-based predictive control algorithm.
Dubay R; Abu-Ayyad M; Hernandez JM
ISA Trans; 2009 Apr; 48(2):180-9. PubMed ID: 19144334
[TBL] [Abstract][Full Text] [Related]
10. Voxel selection in FMRI data analysis based on sparse representation.
Li Y; Namburi P; Yu Z; Guan C; Feng J; Gu Z
IEEE Trans Biomed Eng; 2009 Oct; 56(10):2439-51. PubMed ID: 19567340
[TBL] [Abstract][Full Text] [Related]
11. Nonlinear connectivity by Granger causality.
Marinazzo D; Liao W; Chen H; Stramaglia S
Neuroimage; 2011 Sep; 58(2):330-8. PubMed ID: 20132895
[TBL] [Abstract][Full Text] [Related]
12. Functional connectivity: studying nonlinear, delayed interactions between BOLD signals.
Lahaye PJ; Poline JB; Flandin G; Dodel S; Garnero L
Neuroimage; 2003 Oct; 20(2):962-74. PubMed ID: 14568466
[TBL] [Abstract][Full Text] [Related]
13. Functional connectivity analysis of fMRI data based on regularized multiset canonical correlation analysis.
Deleus F; Van Hulle MM
J Neurosci Methods; 2011 Apr; 197(1):143-57. PubMed ID: 21277327
[TBL] [Abstract][Full Text] [Related]
14. A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals.
Riera JJ; Watanabe J; Kazuki I; Naoki M; Aubert E; Ozaki T; Kawashima R
Neuroimage; 2004 Feb; 21(2):547-67. PubMed ID: 14980557
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Dynamic causal modeling with genetic algorithms.
Pyka M; Heider D; Hauke S; Kircher T; Jansen A
J Neurosci Methods; 2011 Jan; 194(2):402-6. PubMed ID: 21094663
[TBL] [Abstract][Full Text] [Related]
17. A method to produce evolving functional connectivity maps during the course of an fMRI experiment using wavelet-based time-varying Granger causality.
Sato JR; Junior EA; Takahashi DY; de Maria Felix M; Brammer MJ; Morettin PA
Neuroimage; 2006 May; 31(1):187-96. PubMed ID: 16434214
[TBL] [Abstract][Full Text] [Related]
18. Dynamic Causal Modelling and physiological confounds: a functional MRI study of vagus nerve stimulation.
Reyt S; Picq C; Sinniger V; Clarençon D; Bonaz B; David O
Neuroimage; 2010 Oct; 52(4):1456-64. PubMed ID: 20472074
[TBL] [Abstract][Full Text] [Related]
19. The application of nonlinear Dynamic Causal Modelling for fMRI in subjects at high genetic risk of schizophrenia.
Dauvermann MR; Whalley HC; Romaniuk L; Valton V; Owens DG; Johnstone EC; Lawrie SM; Moorhead TW
Neuroimage; 2013 Jun; 73():16-29. PubMed ID: 23384525
[TBL] [Abstract][Full Text] [Related]
20. Probabilistic framework for brain connectivity from functional MR images.
Rajapakse JC; Wang Y; Zheng X; Zhou J
IEEE Trans Med Imaging; 2008 Jun; 27(6):825-33. PubMed ID: 18541489
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
