These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI. Chockanathan U; DSouza AM; Abidin AZ; Schifitto G; Wismüller A Proc SPIE Int Soc Opt Eng; 2018 Feb; 10575():. PubMed ID: 30505063 [TBL] [Abstract][Full Text] [Related]
4. Identifying HIV Associated Neurocognitive Disorder Using Large-Scale Granger Causality Analysis on Resting-State Functional MRI. DSouza AM; Abidin AZ; Leistritz L; Wismüller A Proc SPIE Int Soc Opt Eng; 2017 Feb; 10133():. PubMed ID: 29167591 [TBL] [Abstract][Full Text] [Related]
5. Impact of multivariate Granger causality analyses with embedded dimension reduction on network modules. Schmidt C; Pester B; Nagarajan M; Witte H; Leistritz L; Wismueller A Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():2797-800. PubMed ID: 25570572 [TBL] [Abstract][Full Text] [Related]
6. Learning effective connectivity from fMRI using autoregressive hidden Markov model with missing data. Dang S; Chaudhury S; Lall B; Roy PK J Neurosci Methods; 2017 Feb; 278():87-100. PubMed ID: 28065836 [TBL] [Abstract][Full Text] [Related]
7. Is Rest Really Rest? Resting-State Functional Connectivity During Rest and Motor Task Paradigms. Jurkiewicz MT; Crawley AP; Mikulis DJ Brain Connect; 2018 Jun; 8(5):268-275. PubMed ID: 29665711 [TBL] [Abstract][Full Text] [Related]
8. A novel method for sparse dynamic functional connectivity analysis from resting-state fMRI. Wang H; Chen J; Yuan Z; Huang Y; Lin F J Neurosci Methods; 2024 Nov; 411():110275. PubMed ID: 39241968 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. van de Ven VG; Formisano E; Prvulovic D; Roeder CH; Linden DE Hum Brain Mapp; 2004 Jul; 22(3):165-78. PubMed ID: 15195284 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Multivariate dynamical systems-based estimation of causal brain interactions in fMRI: Group-level validation using benchmark data, neurophysiological models and human connectome project data. Ryali S; Chen T; Supekar K; Tu T; Kochalka J; Cai W; Menon V J Neurosci Methods; 2016 Aug; 268():142-53. PubMed ID: 27015792 [TBL] [Abstract][Full Text] [Related]
13. Functional brain connectivity in resting-state fMRI using phase and magnitude data. Chen Z; Caprihan A; Damaraju E; Rachakonda S; Calhoun V J Neurosci Methods; 2018 Jan; 293():299-309. PubMed ID: 29055719 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Dimensionality reduction impedes the extraction of dynamic functional connectivity states from fMRI recordings of resting wakefulness. Kafashan M; Palanca BJA; Ching S J Neurosci Methods; 2018 Jan; 293():151-161. PubMed ID: 28947263 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. A SVM-based quantitative fMRI method for resting-state functional network detection. Song X; Chen NK Magn Reson Imaging; 2014 Sep; 32(7):819-31. PubMed ID: 24928301 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]