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.
8. The Use of a priori Information in ICA-Based Techniques for Real-Time fMRI: An Evaluation of Static/Dynamic and Spatial/Temporal Characteristics. Soldati N; Calhoun VD; Bruzzone L; Jovicich J Front Hum Neurosci; 2013; 7():64. PubMed ID: 23483841 [TBL] [Abstract][Full Text] [Related]
9. On the relationship between seed-based and ICA-based measures of functional connectivity. Joel SE; Caffo BS; van Zijl PC; Pekar JJ Magn Reson Med; 2011 Sep; 66(3):644-57. PubMed ID: 21394769 [TBL] [Abstract][Full Text] [Related]
10. Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis. Calhoun VD; Adali T; Stevens MC; Kiehl KA; Pekar JJ Neuroimage; 2005 Apr; 25(2):527-38. PubMed ID: 15784432 [TBL] [Abstract][Full Text] [Related]
11. An approach to directly link ICA and seed-based functional connectivity: Application to schizophrenia. Wu L; Caprihan A; Bustillo J; Mayer A; Calhoun V Neuroimage; 2018 Oct; 179():448-470. PubMed ID: 29894827 [TBL] [Abstract][Full Text] [Related]
12. ICA of full complex-valued fMRI data using phase information of spatial maps. Yu MC; Lin QH; Kuang LD; Gong XF; Cong F; Calhoun VD J Neurosci Methods; 2015 Jul; 249():75-91. PubMed ID: 25857613 [TBL] [Abstract][Full Text] [Related]
13. Evaluation of spatio-temporal decomposition techniques for group analysis of fMRI resting state data sets. Afshin-Pour B; Grady C; Strother S Neuroimage; 2014 Feb; 87():363-82. PubMed ID: 24201012 [TBL] [Abstract][Full Text] [Related]
14. Template based rotation: a method for functional connectivity analysis with a priori templates. Schultz AP; Chhatwal JP; Huijbers W; Hedden T; van Dijk KR; McLaren DG; Ward AM; Wigman S; Sperling RA Neuroimage; 2014 Nov; 102 Pt 2(0 2):620-36. PubMed ID: 25150630 [TBL] [Abstract][Full Text] [Related]
15. Bayesian framework for robust seed-based correlation analysis. Bell CS; Mohd Khairi N; Ding Z; Wilkes DM Med Phys; 2019 Jul; 46(7):3055-3066. PubMed ID: 30932188 [TBL] [Abstract][Full Text] [Related]
16. Memory Function and Brain Functional Connectivity Adaptations Following Multiple-Modality Exercise and Mind-Motor Training in Older Adults at Risk of Dementia: An Exploratory Sub-Study. Boa Sorte Silva NC; Nagamatsu LS; Gill DP; Owen AM; Petrella RJ Front Aging Neurosci; 2020; 12():22. PubMed ID: 32158386 [TBL] [Abstract][Full Text] [Related]
17. Improved resting state functional connectivity sensitivity and reproducibility using a multiband multi-echo acquisition. Cohen AD; Yang B; Fernandez B; Banerjee S; Wang Y Neuroimage; 2021 Jan; 225():117461. PubMed ID: 33069864 [TBL] [Abstract][Full Text] [Related]
18. Using Dual Regression to Investigate Network Shape and Amplitude in Functional Connectivity Analyses. Nickerson LD; Smith SM; Öngür D; Beckmann CF Front Neurosci; 2017; 11():115. PubMed ID: 28348512 [TBL] [Abstract][Full Text] [Related]
19. Impact of inter-individual variability on the estimation of default mode network in temporal concatenation group ICA. Hu Y; Yang Z Neuroimage; 2021 Aug; 237():118114. PubMed ID: 33933594 [TBL] [Abstract][Full Text] [Related]
20. Analysis of fMRI data by blind separation of data in a tiny spatial domain into independent temporal component. Chen H; Yao D; Zhuo Y; Chen L Brain Topogr; 2003; 15(4):223-32. PubMed ID: 12866826 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]