168 related articles for article (PubMed ID: 23134194)
1. Upsampling to 400-ms resolution for assessing effective connectivity in functional magnetic resonance imaging data with Granger causality.
McFarlin DR; Kerr DL; Nitschke JB
Brain Connect; 2013; 3(1):61-71. PubMed ID: 23134194
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Exploring connectivity with large-scale Granger causality on resting-state functional MRI.
DSouza AM; Abidin AZ; Leistritz L; Wismüller A
J Neurosci Methods; 2017 Aug; 287():68-79. PubMed ID: 28629720
[TBL] [Abstract][Full Text] [Related]
4. Detecting directional influence in fMRI connectivity analysis using PCA based Granger causality.
Zhou Z; Ding M; Chen Y; Wright P; Lu Z; Liu Y
Brain Res; 2009 Sep; 1289():22-9. PubMed ID: 19595679
[TBL] [Abstract][Full Text] [Related]
5. Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data.
Havlicek M; Jan J; Brazdil M; Calhoun VD
Neuroimage; 2010 Oct; 53(1):65-77. PubMed ID: 20561919
[TBL] [Abstract][Full Text] [Related]
6. Frequency domain connectivity identification: an application of partial directed coherence in fMRI.
Sato JR; Takahashi DY; Arcuri SM; Sameshima K; Morettin PA; Baccalá LA
Hum Brain Mapp; 2009 Feb; 30(2):452-61. PubMed ID: 18064582
[TBL] [Abstract][Full Text] [Related]
7. A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.
Wu GR; Liao W; Stramaglia S; Ding JR; Chen H; Marinazzo D
Med Image Anal; 2013 Apr; 17(3):365-74. PubMed ID: 23422254
[TBL] [Abstract][Full Text] [Related]
8. Assessing and compensating for zero-lag correlation effects in time-lagged Granger causality analysis of FMRI.
Deshpande G; Sathian K; Hu X
IEEE Trans Biomed Eng; 2010 Jun; 57(6):1446-56. PubMed ID: 20659822
[TBL] [Abstract][Full Text] [Related]
9. Increasing fMRI sampling rate improves Granger causality estimates.
Lin FH; Ahveninen J; Raij T; Witzel T; Chu YH; Jääskeläinen IP; Tsai KW; Kuo WJ; Belliveau JW
PLoS One; 2014; 9(6):e100319. PubMed ID: 24968356
[TBL] [Abstract][Full Text] [Related]
10. Is Granger causality a viable technique for analyzing fMRI data?
Wen X; Rangarajan G; Ding M
PLoS One; 2013; 8(7):e67428. PubMed ID: 23861763
[TBL] [Abstract][Full Text] [Related]
11. Investigating effective brain connectivity from fMRI data: past findings and current issues with reference to Granger causality analysis.
Deshpande G; Hu X
Brain Connect; 2012; 2(5):235-45. PubMed ID: 23016794
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Mapping directed influence over the brain using Granger causality and fMRI.
Roebroeck A; Formisano E; Goebel R
Neuroimage; 2005 Mar; 25(1):230-42. PubMed ID: 15734358
[TBL] [Abstract][Full Text] [Related]
14. Identification of MCI using optimal sparse MAR modeled effective connectivity networks.
Wee CY; Li Y; Jie B; Peng ZW; Shen D
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):319-327. PubMed ID: 24579156
[TBL] [Abstract][Full Text] [Related]
15. Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging.
Di X; Biswal BB
Neuroimage; 2014 Feb; 86():53-9. PubMed ID: 23927904
[TBL] [Abstract][Full Text] [Related]
16. Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia.
Fu Z; Tu Y; Di X; Du Y; Pearlson GD; Turner JA; Biswal BB; Zhang Z; Calhoun VD
Neuroimage; 2018 Oct; 180(Pt B):619-631. PubMed ID: 28939432
[TBL] [Abstract][Full Text] [Related]
17. A Multivariate Granger Causality Concept towards Full Brain Functional Connectivity.
Schmidt C; Pester B; Schmid-Hertel N; Witte H; Wismüller A; Leistritz L
PLoS One; 2016; 11(4):e0153105. PubMed ID: 27064897
[TBL] [Abstract][Full Text] [Related]
18. A conditional Granger causality model approach for group analysis in functional magnetic resonance imaging.
Zhou Z; Wang X; Klahr NJ; Liu W; Arias D; Liu H; von Deneen KM; Wen Y; Lu Z; Xu D; Liu Y
Magn Reson Imaging; 2011 Apr; 29(3):418-33. PubMed ID: 21232892
[TBL] [Abstract][Full Text] [Related]
19. Effective connectivity of the multiplication network: a functional MRI and multivariate Granger Causality Mapping study.
Krueger F; Landgraf S; van der Meer E; Deshpande G; Hu X
Hum Brain Mapp; 2011 Sep; 32(9):1419-31. PubMed ID: 20715080
[TBL] [Abstract][Full Text] [Related]
20. Pattern-based Granger causality mapping in FMRI.
Kim E; Kim DS; Ahmad F; Park H
Brain Connect; 2013; 3(6):569-77. PubMed ID: 24059863
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
