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 *

221 related articles for article (PubMed ID: 29548241)

  • 1. Mutual information identifies spurious Hurst phenomena in resting state EEG and fMRI data.
    von Wegner F; Laufs H; Tagliazucchi E
    Phys Rev E; 2018 Feb; 97(2-1):022415. PubMed ID: 29548241
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analytical and empirical fluctuation functions of the EEG microstate random walk - Short-range vs. long-range correlations.
    von Wegner F; Tagliazucchi E; Brodbeck V; Laufs H
    Neuroimage; 2016 Nov; 141():442-451. PubMed ID: 27485754
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Information-theoretical analysis of resting state EEG microstate sequences - non-Markovianity, non-stationarity and periodicities.
    von Wegner F; Tagliazucchi E; Laufs H
    Neuroimage; 2017 Sep; 158():99-111. PubMed ID: 28673879
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fractional Gaussian noise, functional MRI and Alzheimer's disease.
    Maxim V; Sendur L; Fadili J; Suckling J; Gould R; Howard R; Bullmore E
    Neuroimage; 2005 Mar; 25(1):141-58. PubMed ID: 15734351
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The effect of linear mixing in the EEG on Hurst exponent estimation.
    Blythe DA; Haufe S; Müller KR; Nikulin VV
    Neuroimage; 2014 Oct; 99():377-87. PubMed ID: 24862080
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically Invariant.
    von Wegner F; Knaut P; Laufs H
    Front Comput Neurosci; 2018; 12():70. PubMed ID: 30210325
    [TBL] [Abstract][Full Text] [Related]  

  • 7. EEG non-linear feature extraction using correlation dimension and Hurst exponent.
    Geng S; Zhou W; Yuan Q; Cai D; Zeng Y
    Neurol Res; 2011 Nov; 33(9):908-12. PubMed ID: 22080990
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Frequency Analysis of EEG Microstate Sequences in Wakefulness and NREM Sleep.
    Wiemers MC; Laufs H; von Wegner F
    Brain Topogr; 2024 Mar; 37(2):312-328. PubMed ID: 37253955
    [TBL] [Abstract][Full Text] [Related]  

  • 9. EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations.
    von Wegner F; Bauer S; Rosenow F; Triesch J; Laufs H
    Neuroimage; 2021 Jan; 224():117372. PubMed ID: 32979526
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fractional Gaussian noise-enhanced information capacity of a nonlinear neuron model with binary signal input.
    Gao FY; Kang YM; Chen X; Chen G
    Phys Rev E; 2018 May; 97(5-1):052142. PubMed ID: 29906926
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms.
    von Wegner F; Wiemers M; Hermann G; Tödt I; Tagliazucchi E; Laufs H
    Brain Topogr; 2024 Mar; 37(2):296-311. PubMed ID: 37751054
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spatiotemporal dynamics of the brain at rest--exploring EEG microstates as electrophysiological signatures of BOLD resting state networks.
    Yuan H; Zotev V; Phillips R; Drevets WC; Bodurka J
    Neuroimage; 2012 May; 60(4):2062-72. PubMed ID: 22381593
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A stochastic model for EEG microstate sequence analysis.
    Gärtner M; Brodbeck V; Laufs H; Schneider G
    Neuroimage; 2015 Jan; 104():199-208. PubMed ID: 25451473
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Hurst exponent estimator based on autoregressive power spectrum estimation with order selection.
    Chang YC; Lai LC; Chen LH; Chang CM; Chueh CC
    Biomed Mater Eng; 2014; 24(1):1041-51. PubMed ID: 24211995
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A blind method for the estimation of the Hurst exponent in time series: theory and application.
    Esposti F; Ferrario M; Signorini MG
    Chaos; 2008 Sep; 18(3):033126. PubMed ID: 19045464
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Early development of spatial patterns of power-law frequency scaling in FMRI resting-state and EEG data in the newborn brain.
    Fransson P; Metsäranta M; Blennow M; Åden U; Lagercrantz H; Vanhatalo S
    Cereb Cortex; 2013 Mar; 23(3):638-46. PubMed ID: 22402348
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Exploiting the potential of three dimensional spatial wavelet analysis to explore nesting of temporal oscillations and spatial variance in simultaneous EEG-fMRI data.
    Schultze-Kraft M; Becker R; Breakspear M; Ritter P
    Prog Biophys Mol Biol; 2011 Mar; 105(1-2):67-79. PubMed ID: 21094179
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nonlinear analysis of EEG signals at different mental states.
    Natarajan K; Acharya U R; Alias F; Tiboleng T; Puthusserypady SK
    Biomed Eng Online; 2004 Mar; 3(1):7. PubMed ID: 15023233
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG.
    Astolfi L; Cincotti F; Mattia D; Salinari S; Babiloni C; Basilisco A; Rossini PM; Ding L; Ni Y; He B; Marciani MG; Babiloni F
    Magn Reson Imaging; 2004 Dec; 22(10):1457-70. PubMed ID: 15707795
    [TBL] [Abstract][Full Text] [Related]  

  • 20. From EEG to BOLD: brain mapping and estimating transfer functions in simultaneous EEG-fMRI acquisitions.
    Sato JR; Rondinoni C; Sturzbecher M; de Araujo DB; Amaro E
    Neuroimage; 2010 May; 50(4):1416-26. PubMed ID: 20116435
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.