BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 29890326)

  • 1. On the relationship between instantaneous phase synchrony and correlation-based sliding windows for time-resolved fMRI connectivity analysis.
    Pedersen M; Omidvarnia A; Zalesky A; Jackson GD
    Neuroimage; 2018 Nov; 181():85-94. PubMed ID: 29890326
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Dynamic regional phase synchrony (DRePS): An Instantaneous Measure of Local fMRI Connectivity Within Spatially Clustered Brain Areas.
    Omidvarnia A; Pedersen M; Walz JM; Vaughan DN; Abbott DF; Jackson GD
    Hum Brain Mapp; 2016 May; 37(5):1970-85. PubMed ID: 27019380
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Real-Time Resting-State Functional Magnetic Resonance Imaging Using Averaged Sliding Windows with Partial Correlations and Regression of Confounding Signals.
    Vakamudi K; Trapp C; Talaat K; Gao K; Sa De La Rocque Guimaraes B; Posse S
    Brain Connect; 2020 Oct; 10(8):448-463. PubMed ID: 32892629
    [No Abstract]   [Full Text] [Related]  

  • 4. Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state.
    Mokhtari F; Akhlaghi MI; Simpson SL; Wu G; Laurienti PJ
    Neuroimage; 2019 Apr; 189():655-666. PubMed ID: 30721750
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effects of motion related outliers in dynamic functional connectivity using the sliding window method.
    Savva AD; Kassinopoulos M; Smyrnis N; Matsopoulos GK; Mitsis GD
    J Neurosci Methods; 2020 Jan; 330():108519. PubMed ID: 31730872
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Detection of functional brain network reconfiguration during task-driven cognitive states.
    Telesford QK; Lynall ME; Vettel J; Miller MB; Grafton ST; Bassett DS
    Neuroimage; 2016 Nov; 142():198-210. PubMed ID: 27261162
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information.
    Yaesoubi M; Allen EA; Miller RL; Calhoun VD
    Neuroimage; 2015 Oct; 120():133-42. PubMed ID: 26162552
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Mutual connectivity analysis of resting-state functional MRI data with local models.
    DSouza AM; Abidin AZ; Chockanathan U; Schifitto G; Wismüller A
    Neuroimage; 2018 Sep; 178():210-223. PubMed ID: 29777828
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Functional Connectome from Phase Synchrony at Resting State is a Neural Fingerprint.
    Zhang R; Kranz GS; Lee TMC
    Brain Connect; 2019 Sep; 9(7):519-528. PubMed ID: 30997813
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Studying time-resolved functional connectivity via communication theory: on the complementary nature of phase synchronization and sliding window Pearson correlation.
    Wiafe SL; Asante NO; Calhoun VD; Faghiri A
    bioRxiv; 2024 Jun; ():. PubMed ID: 38915498
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification.
    Wee CY; Yang S; Yap PT; Shen D;
    Brain Imaging Behav; 2016 Jun; 10(2):342-56. PubMed ID: 26123390
    [TBL] [Abstract][Full Text] [Related]  

  • 14. On applicability of PCA, voxel-wise variance normalization and dimensionality assumptions for sliding temporal window sICA in resting-state fMRI.
    Remes JJ; Abou Elseoud A; Ollila E; Haapea M; Starck T; Nikkinen J; Tervonen O; Silven O
    Magn Reson Imaging; 2013 Oct; 31(8):1338-48. PubMed ID: 23845397
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Complementary contributions of concurrent EEG and fMRI connectivity for predicting structural connectivity.
    Wirsich J; Ridley B; Besson P; Jirsa V; Bénar C; Ranjeva JP; Guye M
    Neuroimage; 2017 Nov; 161():251-260. PubMed ID: 28842386
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sliding-window analysis tracks fluctuations in amygdala functional connectivity associated with physiological arousal and vigilance during fear conditioning.
    Baczkowski BM; Johnstone T; Walter H; Erk S; Veer IM
    Neuroimage; 2017 Jun; 153():168-178. PubMed ID: 28300639
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models.
    Ting CM; Ombao H; Samdin SB; Salleh SH
    IEEE Trans Med Imaging; 2018 Apr; 37(4):1011-1023. PubMed ID: 29610078
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluating phase synchronization methods in fMRI: A comparison study and new approaches.
    Honari H; Choe AS; Lindquist MA
    Neuroimage; 2021 Mar; 228():117704. PubMed ID: 33385554
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Concurrent EEG- and fMRI-derived functional connectomes exhibit linked dynamics.
    Wirsich J; Giraud AL; Sadaghiani S
    Neuroimage; 2020 Oct; 219():116998. PubMed ID: 32480035
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.