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.
173 related articles for article (PubMed ID: 30448217)
1. An enriched granger causal model allowing variable static anatomical constraints. Bi K; Luo G; Tian S; Zhang S; Liu X; Wang Q; Lu Q; Yao Z Neuroimage Clin; 2019; 21():101592. PubMed ID: 30448217 [TBL] [Abstract][Full Text] [Related]
2. Dynamic functional-structural coupling within acute functional state change phases: Evidence from a depression recognition study. Bi K; Hua L; Wei M; Qin J; Lu Q; Yao Z J Affect Disord; 2016 Feb; 191():145-55. PubMed ID: 26655124 [TBL] [Abstract][Full Text] [Related]
3. Predicting depression based on dynamic regional connectivity: a windowed Granger causality analysis of MEG recordings. Lu Q; Bi K; Liu C; Luo G; Tang H; Yao Z Brain Res; 2013 Oct; 1535():52-60. PubMed ID: 23994212 [TBL] [Abstract][Full Text] [Related]
4. MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks. Fukushima M; Yamashita O; Knösche TR; Sato MA Neuroimage; 2015 Jan; 105():408-27. PubMed ID: 25290887 [TBL] [Abstract][Full Text] [Related]
5. Using joint ICA to link function and structure using MEG and DTI in schizophrenia. Stephen JM; Coffman BA; Jung RE; Bustillo JR; Aine CJ; Calhoun VD Neuroimage; 2013 Dec; 83():418-30. PubMed ID: 23777757 [TBL] [Abstract][Full Text] [Related]
6. Discriminative analysis with a limited number of MEG trials in depression. Lu Q; Jiang H; Bi K; Liu C; Yao Z J Affect Disord; 2014; 167():207-14. PubMed ID: 24995889 [TBL] [Abstract][Full Text] [Related]
7. Abnormal early dynamic individual patterns of functional networks in low gamma band for depression recognition. Bi K; Chattun MR; Liu X; Wang Q; Tian S; Zhang S; Lu Q; Yao Z J Affect Disord; 2018 Oct; 238():366-374. PubMed ID: 29908476 [TBL] [Abstract][Full Text] [Related]
8. A supplementary functional connectivity microstate attached to the default mode network in depression revealed by resting-state magnetoencephalography. Zhang S; Tian S; Chattun MR; Tang H; Yan R; Bi K; Yao Z; Lu Q Prog Neuropsychopharmacol Biol Psychiatry; 2018 Apr; 83():76-85. PubMed ID: 29330134 [TBL] [Abstract][Full Text] [Related]
9. Impaired prefrontal-amygdala effective connectivity is responsible for the dysfunction of emotion process in major depressive disorder: a dynamic causal modeling study on MEG. Lu Q; Li H; Luo G; Wang Y; Tang H; Han L; Yao Z Neurosci Lett; 2012 Aug; 523(2):125-30. PubMed ID: 22750155 [TBL] [Abstract][Full Text] [Related]
10. Analyzing brain networks with PCA and conditional Granger causality. Zhou Z; Chen Y; Ding M; Wright P; Lu Z; Liu Y Hum Brain Mapp; 2009 Jul; 30(7):2197-206. PubMed ID: 18830956 [TBL] [Abstract][Full Text] [Related]
11. Neurochemistry-enriched dynamic causal models of magnetoencephalography, using magnetic resonance spectroscopy. Jafarian A; Hughes LE; Adams NE; Lanskey JH; Naessens M; Rouse MA; Murley AG; Friston KJ; Rowe JB Neuroimage; 2023 Aug; 276():120193. PubMed ID: 37244323 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Resting state networks in empirical and simulated dynamic functional connectivity. Glomb K; Ponce-Alvarez A; Gilson M; Ritter P; Deco G Neuroimage; 2017 Oct; 159():388-402. PubMed ID: 28782678 [TBL] [Abstract][Full Text] [Related]
14. Abnormal hubs of white matter networks in the frontal-parieto circuit contribute to depression discrimination via pattern classification. Qin J; Wei M; Liu H; Chen J; Yan R; Hua L; Zhao K; Yao Z; Lu Q Magn Reson Imaging; 2014 Dec; 32(10):1314-20. PubMed ID: 25179136 [TBL] [Abstract][Full Text] [Related]
15. Alterations of Effective Connectivity Patterns in Mild Cognitive Impairment: An MEG Study. Gómez C; Juan-Cruz C; Poza J; Ruiz-Gómez SJ; Gomez-Pilar J; Núñez P; García M; Fernández A; Hornero R J Alzheimers Dis; 2018; 65(3):843-854. PubMed ID: 29103032 [TBL] [Abstract][Full Text] [Related]
16. Functional connectivity networks in the autistic and healthy brain assessed using Granger causality. Pollonini L; Patidar U; Situ N; Rezaie R; Papanicolaou AC; Zouridakis G Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():1730-3. PubMed ID: 21096408 [TBL] [Abstract][Full Text] [Related]
17. Dynamic connectivity laterality of the amygdala under negative stimulus in depression: a MEG study. Lu Q; Wang Y; Luo G; Li H; Yao Z Neurosci Lett; 2013 Jun; 547():42-7. PubMed ID: 23669637 [TBL] [Abstract][Full Text] [Related]
18. BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks. Kook JH; Vaughn KA; DeMaster DM; Ewing-Cobbs L; Vannucci M Neuroinformatics; 2021 Jan; 19(1):39-56. PubMed ID: 32504259 [TBL] [Abstract][Full Text] [Related]
19. Dynamic Functional Network Connectivity in Schizophrenia with Magnetoencephalography and Functional Magnetic Resonance Imaging: Do Different Timescales Tell a Different Story? Sanfratello L; Houck JM; Calhoun VD Brain Connect; 2019 Apr; 9(3):251-262. PubMed ID: 30632385 [TBL] [Abstract][Full Text] [Related]
20. Tractography-Based Score for Learning Effective Connectivity From Multimodal Imaging Data Using Dynamic Bayesian Networks. Dang S; Chaudhury S; Lall B; Roy PK IEEE Trans Biomed Eng; 2018 May; 65(5):1057-1068. PubMed ID: 28809668 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]