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.
179 related articles for article (PubMed ID: 17990301)
1. Discrete dynamic Bayesian network analysis of fMRI data. Burge J; Lane T; Link H; Qiu S; Clark VP Hum Brain Mapp; 2009 Jan; 30(1):122-37. PubMed ID: 17990301 [TBL] [Abstract][Full Text] [Related]
2. A wavelet-based statistical analysis of FMRI data: I. motivation and data distribution modeling. Dinov ID; Boscardin JW; Mega MS; Sowell EL; Toga AW Neuroinformatics; 2005; 3(4):319-42. PubMed ID: 16284415 [TBL] [Abstract][Full Text] [Related]
6. Network discovery with DCM. Friston KJ; Li B; Daunizeau J; Stephan KE Neuroimage; 2011 Jun; 56(3):1202-21. PubMed ID: 21182971 [TBL] [Abstract][Full Text] [Related]
7. Integrated local correlation: a new measure of local coherence in fMRI data. Deshpande G; LaConte S; Peltier S; Hu X Hum Brain Mapp; 2009 Jan; 30(1):13-23. PubMed ID: 17979117 [TBL] [Abstract][Full Text] [Related]
8. A Bayesian framework for global tractography. Jbabdi S; Woolrich MW; Andersson JL; Behrens TE Neuroimage; 2007 Aug; 37(1):116-29. PubMed ID: 17543543 [TBL] [Abstract][Full Text] [Related]
9. Probing neuronal activation by functional quantitative susceptibility mapping under a visual paradigm: A group level comparison with BOLD fMRI and PET. Özbay PS; Warnock G; Rossi C; Kuhn F; Akin B; Pruessmann KP; Nanz D Neuroimage; 2016 Aug; 137():52-60. PubMed ID: 27155125 [TBL] [Abstract][Full Text] [Related]
10. Gaussian process classification of Alzheimer's disease and mild cognitive impairment from resting-state fMRI. Challis E; Hurley P; Serra L; Bozzali M; Oliver S; Cercignani M Neuroimage; 2015 May; 112():232-243. PubMed ID: 25731993 [TBL] [Abstract][Full Text] [Related]
11. The dynamic programming high-order Dynamic Bayesian Networks learning for identifying effective connectivity in human brain from fMRI. Dang S; Chaudhury S; Lall B; Roy PK J Neurosci Methods; 2017 Jun; 285():33-44. PubMed ID: 28495368 [TBL] [Abstract][Full Text] [Related]
16. Two pitfalls of BOLD fMRI magnitude-based neuroimage analysis: non-negativity and edge effect. Chen Z; Calhoun VD J Neurosci Methods; 2011 Aug; 199(2):363-9. PubMed ID: 21640135 [TBL] [Abstract][Full Text] [Related]
17. Identification of large-scale networks in the brain using fMRI. Bellec P; Perlbarg V; Jbabdi S; Pélégrini-Issac M; Anton JL; Doyon J; Benali H Neuroimage; 2006 Feb; 29(4):1231-43. PubMed ID: 16246590 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study. Almgren H; Van de Steen F; Kühn S; Razi A; Friston K; Marinazzo D Neuroimage; 2018 Dec; 183():757-768. PubMed ID: 30165254 [TBL] [Abstract][Full Text] [Related]
20. How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging. Soch J; Meyer AP; Haynes JD; Allefeld C Neuroimage; 2017 Sep; 158():186-195. PubMed ID: 28669903 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]