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Journal Abstract Search

138 related items for PubMed ID: 30903965

  • 1. Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation.
    Rahim M, Thirion B, Varoquaux G.
    Med Image Anal; 2019 May; 54():138-148. PubMed ID: 30903965
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  • 2. Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators.
    Mejia AF, Nebel MB, Shou H, Crainiceanu CM, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA.
    Neuroimage; 2015 May 15; 112():14-29. PubMed ID: 25731998
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  • 4. Predicting individual brain functional connectivity using a Bayesian hierarchical model.
    Dai T, Guo Y, Alzheimer's Disease Neuroimaging InitiativeDepartment of Biostatistics and Bioinformatics, The Rollins School of Public Health, Emory University, Atlanta, GA, United States..
    Neuroimage; 2017 Feb 15; 147():772-787. PubMed ID: 27915121
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  • 5. Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage.
    Mejia AF, Nebel MB, Barber AD, Choe AS, Pekar JJ, Caffo BS, Lindquist MA.
    Neuroimage; 2018 May 15; 172():478-491. PubMed ID: 29391241
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  • 8. Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity.
    You K, Park HJ.
    Neuroimage; 2021 Jan 15; 225():117464. PubMed ID: 33075555
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  • 9. Multi-subject hierarchical inverse covariance modelling improves estimation of functional brain networks.
    Colclough GL, Woolrich MW, Harrison SJ, Rojas López PA, Valdes-Sosa PA, Smith SM.
    Neuroimage; 2018 Sep 15; 178():370-384. PubMed ID: 29746906
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  • 10. Covariance shrinkage can assess and improve functional connectomes.
    Honnorat N, Habes M.
    Neuroimage; 2022 Aug 01; 256():119229. PubMed ID: 35460918
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  • 11. Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling.
    Varoquaux G, Baronnet F, Kleinschmidt A, Fillard P, Thirion B.
    Med Image Comput Comput Assist Interv; 2010 Aug 01; 13(Pt 1):200-8. PubMed ID: 20879232
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  • 12. Transport on Riemannian manifold for functional connectivity-based classification.
    Ng B, Dressler M, Varoquaux G, Poline JB, Greicius M, Thirion B.
    Med Image Comput Comput Assist Interv; 2014 Aug 01; 17(Pt 2):405-12. PubMed ID: 25485405
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  • 13. Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome.
    Gilson M, Moreno-Bote R, Ponce-Alvarez A, Ritter P, Deco G.
    PLoS Comput Biol; 2016 Mar 01; 12(3):e1004762. PubMed ID: 26982185
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  • 17. Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.
    Yoo K, Rosenberg MD, Hsu WT, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM.
    Neuroimage; 2018 Feb 15; 167():11-22. PubMed ID: 29122720
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  • 18. Dissociating individual connectome traits using low-rank learning.
    Qin J, Shen H, Zeng LL, Gao K, Luo Z, Hu D.
    Brain Res; 2019 Nov 01; 1722():146348. PubMed ID: 31348912
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