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 *

222 related articles for article (PubMed ID: 31487547)

  • 21. 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]  

  • 22. Influence of heart rate on the BOLD signal: the cardiac response function.
    Chang C; Cunningham JP; Glover GH
    Neuroimage; 2009 Feb; 44(3):857-69. PubMed ID: 18951982
    [TBL] [Abstract][Full Text] [Related]  

  • 23. The potential of MR-Encephalography for BCI/Neurofeedback applications with high temporal resolution.
    Lührs M; Riemenschneider B; Eck J; Andonegui AB; Poser BA; Heinecke A; Krause F; Esposito F; Sorger B; Hennig J; Goebel R
    Neuroimage; 2019 Jul; 194():228-243. PubMed ID: 30910728
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Characterizing systemic physiological effects on the blood oxygen level dependent signal of resting-state fMRI in time-frequency space using wavelets.
    Lee QN; Chen JE; Wheeler GJ; Fan AP
    Hum Brain Mapp; 2023 Dec; 44(18):6537-6551. PubMed ID: 37950750
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data.
    Power JD; Plitt M; Gotts SJ; Kundu P; Voon V; Bandettini PA; Martin A
    Proc Natl Acad Sci U S A; 2018 Feb; 115(9):E2105-E2114. PubMed ID: 29440410
    [TBL] [Abstract][Full Text] [Related]  

  • 26. The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data.
    Kasper L; Bollmann S; Diaconescu AO; Hutton C; Heinzle J; Iglesias S; Hauser TU; Sebold M; Manjaly ZM; Pruessmann KP; Stephan KE
    J Neurosci Methods; 2017 Jan; 276():56-72. PubMed ID: 27832957
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A kernel machine-based fMRI physiological noise removal method.
    Song X; Chen NK; Gaur P
    Magn Reson Imaging; 2014 Feb; 32(2):150-62. PubMed ID: 24321306
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Filtering respiratory motion artifact from resting state fMRI data in infant and toddler populations.
    Kaplan S; Meyer D; Miranda-Dominguez O; Perrone A; Earl E; Alexopoulos D; Barch DM; Day TKM; Dust J; Eggebrecht AT; Feczko E; Kardan O; Kenley JK; Rogers CE; Wheelock MD; Yacoub E; Rosenberg M; Elison JT; Fair DA; Smyser CD
    Neuroimage; 2022 Feb; 247():118838. PubMed ID: 34942363
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Estimation of brain functional connectivity from hypercapnia BOLD MRI data: Validation in a lifespan cohort of 170 subjects.
    Hou X; Liu P; Gu H; Chan M; Li Y; Peng SL; Wig G; Yang Y; Park D; Lu H
    Neuroimage; 2019 Feb; 186():455-463. PubMed ID: 30463025
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A multi-measure approach for assessing the performance of fMRI preprocessing strategies in resting-state functional connectivity.
    Kassinopoulos M; Mitsis GD
    Magn Reson Imaging; 2022 Jan; 85():228-250. PubMed ID: 34715292
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Impact of task-related changes in heart rate on estimation of hemodynamic response and model fit.
    Hillenbrand SF; Ivry RB; Schlerf JE
    Neuroimage; 2016 May; 132():455-468. PubMed ID: 26944859
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Assessing dynamic functional connectivity in heterogeneous samples.
    Lehmann BCL; White SR; Henson RN; Cam-Can ; Geerligs L
    Neuroimage; 2017 Aug; 157():635-647. PubMed ID: 28578129
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Extracting electrophysiological correlates of functional magnetic resonance imaging data using the canonical polyadic decomposition.
    Mann-Krzisnik D; Mitsis GD
    Hum Brain Mapp; 2022 Sep; 43(13):4045-4073. PubMed ID: 35567768
    [TBL] [Abstract][Full Text] [Related]  

  • 34. PHYCAA+: an optimized, adaptive procedure for measuring and controlling physiological noise in BOLD fMRI.
    Churchill NW; Strother SC
    Neuroimage; 2013 Nov; 82():306-25. PubMed ID: 23727534
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Modeling of dynamic cerebrovascular reactivity to spontaneous and externally induced CO
    Prokopiou PC; Pattinson KTS; Wise RG; Mitsis GD
    Neuroimage; 2019 Feb; 186():533-548. PubMed ID: 30423427
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data.
    Glasser MF; Coalson TS; Bijsterbosch JD; Harrison SJ; Harms MP; Anticevic A; Van Essen DC; Smith SM
    Neuroimage; 2018 Nov; 181():692-717. PubMed ID: 29753843
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI.
    Birn RM; Diamond JB; Smith MA; Bandettini PA
    Neuroimage; 2006 Jul; 31(4):1536-48. PubMed ID: 16632379
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Neural underpinning of a respiration-associated resting-state fMRI network.
    Tu W; Zhang N
    Elife; 2022 Oct; 11():. PubMed ID: 36263940
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Functional Magnetic Resonance Imaging Activation Optimization in the Setting of Brain Tumor-Induced Neurovascular Uncoupling Using Resting-State Blood Oxygen Level-Dependent Amplitude of Low Frequency Fluctuations.
    Agarwal S; Sair HI; Gujar S; Hua J; Lu H; Pillai JJ
    Brain Connect; 2019 Apr; 9(3):241-250. PubMed ID: 30547681
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Dynamic effective connectivity in resting state fMRI.
    Park HJ; Friston KJ; Pae C; Park B; Razi A
    Neuroimage; 2018 Oct; 180(Pt B):594-608. PubMed ID: 29158202
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.