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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1819 related articles for article (PubMed ID: 23707587)

  • 21. 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; 12(3):e1004762. PubMed ID: 26982185
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Test-retest reliability of dynamic functional connectivity in resting state fMRI.
    Zhang C; Baum SA; Adduru VR; Biswal BB; Michael AM
    Neuroimage; 2018 Dec; 183():907-918. PubMed ID: 30120987
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Construct validation of a DCM for resting state fMRI.
    Razi A; Kahan J; Rees G; Friston KJ
    Neuroimage; 2015 Feb; 106():1-14. PubMed ID: 25463471
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Fractal analysis of spontaneous fluctuations of the BOLD signal in the human brain networks.
    Li YC; Huang YA
    J Magn Reson Imaging; 2014 May; 39(5):1118-25. PubMed ID: 24027126
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Wavelet-based clustering of resting state MRI data in the rat.
    Medda A; Hoffmann L; Magnuson M; Thompson G; Pan WJ; Keilholz S
    Magn Reson Imaging; 2016 Jan; 34(1):35-43. PubMed ID: 26481903
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model.
    Surampudi SG; Misra J; Deco G; Bapi RS; Sharma A; Roy D
    Neuroimage; 2019 Jan; 184():609-620. PubMed ID: 30267857
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Compact and informative representation of functional connectivity for predictive modeling.
    Rustamov RM; Romano D; Reiss AL; Guibas LJ
    Med Image Comput Comput Assist Interv; 2014; 17(Pt 3):153-60. PubMed ID: 25320794
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Dynamic mode decomposition of resting-state and task fMRI.
    Casorso J; Kong X; Chi W; Van De Ville D; Yeo BTT; Liégeois R
    Neuroimage; 2019 Jul; 194():42-54. PubMed ID: 30904469
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Impact of global signal regression on characterizing dynamic functional connectivity and brain states.
    Xu H; Su J; Qin J; Li M; Zeng LL; Hu D; Shen H
    Neuroimage; 2018 Jun; 173():127-145. PubMed ID: 29476914
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A human brain atlas derived via n-cut parcellation of resting-state and task-based fMRI data.
    James GA; Hazaroglu O; Bush KA
    Magn Reson Imaging; 2016 Feb; 34(2):209-18. PubMed ID: 26523655
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia.
    Fu Z; Tu Y; Di X; Du Y; Pearlson GD; Turner JA; Biswal BB; Zhang Z; Calhoun VD
    Neuroimage; 2018 Oct; 180(Pt B):619-631. PubMed ID: 28939432
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations.
    Sareen E; Zahar S; Ville DV; Gupta A; Griffa A; Amico E
    Neuroimage; 2021 Oct; 240():118331. PubMed ID: 34237444
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Graph analysis of resting-state ASL perfusion MRI data: nonlinear correlations among CBF and network metrics.
    Liang X; Connelly A; Calamante F
    Neuroimage; 2014 Feb; 87():265-75. PubMed ID: 24246488
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The effect of scan length on the reliability of resting-state fMRI connectivity estimates.
    Birn RM; Molloy EK; Patriat R; Parker T; Meier TB; Kirk GR; Nair VA; Meyerand ME; Prabhakaran V
    Neuroimage; 2013 Dec; 83():550-8. PubMed ID: 23747458
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models.
    Shappell H; Caffo BS; Pekar JJ; Lindquist MA
    Neuroimage; 2019 May; 191():243-257. PubMed ID: 30753927
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identifying and characterizing resting state networks in temporally dynamic functional connectomes.
    Zhang X; Li X; Jin C; Chen H; Li K; Zhu D; Jiang X; Zhang T; Lv J; Hu X; Han J; Zhao Q; Guo L; Li L; Liu T
    Brain Topogr; 2014 Nov; 27(6):747-65. PubMed ID: 24903106
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Quantifying temporal correlations: a test-retest evaluation of functional connectivity in resting-state fMRI.
    Fiecas M; Ombao H; van Lunen D; Baumgartner R; Coimbra A; Feng D
    Neuroimage; 2013 Jan; 65():231-41. PubMed ID: 23032492
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Network analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability.
    Gilson M; Kouvaris NE; Deco G; Mangin JF; Poupon C; Lefranc S; Rivière D; Zamora-López G
    Neuroimage; 2019 Nov; 201():116007. PubMed ID: 31306771
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The Simpson's paradox and fMRI: Similarities and differences between functional connectivity measures derived from within-subject and across-subject correlations.
    Roberts RP; Hach S; Tippett LJ; Addis DR
    Neuroimage; 2016 Jul; 135():1-15. PubMed ID: 27101735
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Metabolic and vascular origins of the BOLD effect: Implications for imaging pathology and resting-state brain function.
    Mark CI; Mazerolle EL; Chen JJ
    J Magn Reson Imaging; 2015 Aug; 42(2):231-46. PubMed ID: 25727523
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 91.