BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 32454472)

  • 1. Using autoregressive-dynamic conditional correlation model with residual analysis to extract dynamic functional connectivity.
    Hakimdavoodi H; Amirmazlaghani M
    J Neural Eng; 2020 Jun; 17(3):035008. PubMed ID: 32454472
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning effective connectivity from fMRI using autoregressive hidden Markov model with missing data.
    Dang S; Chaudhury S; Lall B; Roy PK
    J Neurosci Methods; 2017 Feb; 278():87-100. PubMed ID: 28065836
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Impact of autocorrelation on functional connectivity.
    Arbabshirani MR; Damaraju E; Phlypo R; Plis S; Allen E; Ma S; Mathalon D; Preda A; Vaidya JG; Adali T; Calhoun VD
    Neuroimage; 2014 Nov; 102 Pt 2(0 2):294-308. PubMed ID: 25072392
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms II: A Method to Obtain First-Level Analysis Residuals with Uniform and Gaussian Spatial Autocorrelation Function and Independent and Identically Distributed Time-Series.
    Gopinath K; Krishnamurthy V; Lacey S; Sathian K
    Brain Connect; 2018 Feb; 8(1):10-21. PubMed ID: 29161884
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Realistic models of apparent dynamic changes in resting-state connectivity in somatosensory cortex.
    Shi Z; Rogers BP; Chen LM; Morgan VL; Mishra A; Wilkes DM; Gore JC
    Hum Brain Mapp; 2016 Nov; 37(11):3897-3910. PubMed ID: 27296233
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Interpreting temporal fluctuations in resting-state functional connectivity MRI.
    Liégeois R; Laumann TO; Snyder AZ; Zhou J; Yeo BTT
    Neuroimage; 2017 Dec; 163():437-455. PubMed ID: 28916180
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sliding window functional connectivity inference with nonstationary autocorrelations and cross-correlations.
    Zhang J; Posse S; Tatsuoka C
    bioRxiv; 2024 Jun; ():. PubMed ID: 38948863
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Modified models and simulations for estimating dynamic functional connectivity in resting state functional magnetic resonance imaging.
    Behboudi M; Farnoosh R
    Stat Med; 2020 May; 39(12):1781-1800. PubMed ID: 32106335
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Resting state networks in empirical and simulated dynamic functional connectivity.
    Glomb K; Ponce-Alvarez A; Gilson M; Ritter P; Deco G
    Neuroimage; 2017 Oct; 159():388-402. PubMed ID: 28782678
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism.
    Aggarwal P; Gupta A
    Med Image Anal; 2019 Aug; 56():11-25. PubMed ID: 31150935
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dynamic functional connectivity analysis based on time-varying partial correlation with a copula-DCC-GARCH model.
    Lee N; Kim JM
    Neurosci Res; 2021 Aug; 169():27-39. PubMed ID: 32628970
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.
    Zhu Y; Zhu X; Zhang H; Gao W; Shen D; Wu G
    Med Image Comput Comput Assist Interv; 2016 Oct; 9900():106-114. PubMed ID: 28149963
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A longitudinal model for functional connectivity networks using resting-state fMRI.
    Hart B; Cribben I; Fiecas M;
    Neuroimage; 2018 Sep; 178():687-701. PubMed ID: 29879474
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance Imaging.
    Syed MF; Lindquist MA; Pillai JJ; Agarwal S; Gujar SK; Choe AS; Caffo B; Sair HI
    Brain Connect; 2017 Dec; 7(10):635-642. PubMed ID: 28969437
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest.
    Leonardi N; Richiardi J; Gschwind M; Simioni S; Annoni JM; Schluep M; Vuilleumier P; Van De Ville D
    Neuroimage; 2013 Dec; 83():937-50. PubMed ID: 23872496
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dynamic functional connectivity analysis reveals decreased variability of the default-mode network in developing autistic brain.
    He C; Chen Y; Jian T; Chen H; Guo X; Wang J; Wu L; Chen H; Duan X
    Autism Res; 2018 Nov; 11(11):1479-1493. PubMed ID: 30270547
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Whole-brain electrophysiological functional connectivity dynamics in resting-state EEG.
    Shou G; Yuan H; Li C; Chen Y; Chen Y; Ding L
    J Neural Eng; 2020 Apr; 17(2):026016. PubMed ID: 32106106
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analyses.
    Urriola J; Bollmann S; Tremayne F; Burianová H; Marstaller L; Reutens D
    Neuroimage Clin; 2020; 28():102440. PubMed ID: 33002859
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation.
    Agastinose Ronicko JF; Thomas J; Thangavel P; Koneru V; Langs G; Dauwels J
    J Neurosci Methods; 2020 Nov; 345():108884. PubMed ID: 32730918
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.