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.
151 related articles for article (PubMed ID: 32351349)
1. A Constrained ICA-EMD Model for Group Level fMRI Analysis. Wein S; Tomé AM; Goldhacker M; Greenlee MW; Lang EW Front Neurosci; 2020; 14():221. PubMed ID: 32351349 [TBL] [Abstract][Full Text] [Related]
2. Hybridizing EMD with cICA for fMRI Analysis of Patient Groups. Wein S; Tome AM; Goldhacker M; Greenlee MW; Lang EW Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():194-197. PubMed ID: 31945876 [TBL] [Abstract][Full Text] [Related]
3. Temporally and spatially constrained ICA of fMRI data analysis. Wang Z; Xia M; Jin Z; Yao L; Long Z PLoS One; 2014; 9(4):e94211. PubMed ID: 24727944 [TBL] [Abstract][Full Text] [Related]
4. Energy-Period Profiles of Brain Networks in Group fMRI Resting-State Data: A Comparison of Empirical Mode Decomposition With the Short-Time Fourier Transform and the Discrete Wavelet Transform. Cordes D; Kaleem MF; Yang Z; Zhuang X; Curran T; Sreenivasan KR; Mishra VR; Nandy R; Walsh RR Front Neurosci; 2021; 15():663403. PubMed ID: 34093115 [TBL] [Abstract][Full Text] [Related]
5. Non-Inferential Multi-Subject Study of Functional Connectivity during Visual Stimulation. Esposito F; Cirillo M; Aragri A; Caranci F; Cirillo L; Di Salle F; Cirillo S Neuroradiol J; 2007 Jan; 19(6):711-5. PubMed ID: 24351296 [TBL] [Abstract][Full Text] [Related]
6. ICA-fNORM: Spatial Normalization of fMRI Data Using Intrinsic Group-ICA Networks. Khullar S; Michael AM; Cahill ND; Kiehl KA; Pearlson G; Baum SA; Calhoun VD Front Syst Neurosci; 2011; 5():93. PubMed ID: 22110427 [TBL] [Abstract][Full Text] [Related]
7. Parallel Multilink Group Joint ICA: Fusion of 3D Structural and 4D Functional Data Across Multiple Resting fMRI Networks. Khalilullah KMI; Agcaoglu O; Sui J; Duda M; Adali T; Calhoun VD bioRxiv; 2024 Jun; ():. PubMed ID: 38585901 [TBL] [Abstract][Full Text] [Related]
8. SMART (splitting-merging assisted reliable) Independent Component Analysis for Brain Functional Networks. Du Y; He X; Calhoun VD Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3263-3266. PubMed ID: 34891937 [TBL] [Abstract][Full Text] [Related]
9. Validation of Shared and Specific Independent Component Analysis (SSICA) for Between-Group Comparisons in fMRI. Maneshi M; Vahdat S; Gotman J; Grova C Front Neurosci; 2016; 10():417. PubMed ID: 27729843 [TBL] [Abstract][Full Text] [Related]
10. A New Constrained Spatiotemporal ICA Method Based on Multi-Objective Optimization for fMRI Data Analysis. Shi Y; Zeng W; Wang N; Zhao L IEEE Trans Neural Syst Rehabil Eng; 2018 Sep; 26(9):1690-1699. PubMed ID: 30028710 [TBL] [Abstract][Full Text] [Related]
11. Dimensionality of ICA in resting-state fMRI investigated by feature optimized classification of independent components with SVM. Wang Y; Li TQ Front Hum Neurosci; 2015; 9():259. PubMed ID: 26005413 [TBL] [Abstract][Full Text] [Related]
12. Introducing a Combination of ICA-EMD to Suppress Muscle and Ocular Artifacts in EEG Signals. Santillan-Guzman A; Oliveros-Oliveros JJ; Morin-Castillo MM Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1250-1253. PubMed ID: 30440617 [TBL] [Abstract][Full Text] [Related]
13. Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia. Kuang LD; Lin QH; Gong XF; Cong F; Sui J; Calhoun VD J Neurosci Methods; 2018 Jul; 304():24-38. PubMed ID: 29673968 [TBL] [Abstract][Full Text] [Related]
14. Analysis of fMRI data by blind separation into independent spatial components. McKeown MJ; Makeig S; Brown GG; Jung TP; Kindermann SS; Bell AJ; Sejnowski TJ Hum Brain Mapp; 1998; 6(3):160-88. PubMed ID: 9673671 [TBL] [Abstract][Full Text] [Related]
15. Independent component model of the default-mode brain function: combining individual-level and population-level analyses in resting-state fMRI. Esposito F; Aragri A; Pesaresi I; Cirillo S; Tedeschi G; Marciano E; Goebel R; Di Salle F Magn Reson Imaging; 2008 Sep; 26(7):905-13. PubMed ID: 18486388 [TBL] [Abstract][Full Text] [Related]
16. Temporally constrained ICA with threshold and its application to fMRI data. Long Z; Wang Z; Zhang J; Zhao X; Yao L BMC Med Imaging; 2019 Jan; 19(1):6. PubMed ID: 30654748 [TBL] [Abstract][Full Text] [Related]
17. Physiological noise correction using ECG-derived respiratory signals for enhanced mapping of spontaneous neuronal activity with simultaneous EEG-fMRI. Abreu R; Nunes S; Leal A; Figueiredo P Neuroimage; 2017 Jul; 154():115-127. PubMed ID: 27530551 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA. Javed E; Faye I; Malik AS; Abdullah JM J Neurosci Methods; 2017 Nov; 291():150-165. PubMed ID: 28842191 [TBL] [Abstract][Full Text] [Related]
20. Group ICA for identifying biomarkers in schizophrenia: 'Adaptive' networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression. Salman MS; Du Y; Lin D; Fu Z; Fedorov A; Damaraju E; Sui J; Chen J; Mayer AR; Posse S; Mathalon DH; Ford JM; Van Erp T; Calhoun VD Neuroimage Clin; 2019; 22():101747. PubMed ID: 30921608 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]