BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1030 related articles for article (PubMed ID: 28916180)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Predictive assessment of models for dynamic functional connectivity.
    Nielsen SFV; Schmidt MN; Madsen KH; Mørup M
    Neuroimage; 2018 May; 171():116-134. PubMed ID: 29292135
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Time-dependence of graph theory metrics in functional connectivity analysis.
    Chiang S; Cassese A; Guindani M; Vannucci M; Yeh HJ; Haneef Z; Stern JM
    Neuroimage; 2016 Jan; 125():601-615. PubMed ID: 26518632
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. The dynamic functional connectome: State-of-the-art and perspectives.
    Preti MG; Bolton TA; Van De Ville D
    Neuroimage; 2017 Oct; 160():41-54. PubMed ID: 28034766
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity.
    Chiang S; Vankov ER; Yeh HJ; Guindani M; Vannucci M; Haneef Z; Stern JM
    PLoS One; 2018; 13(1):e0190220. PubMed ID: 29320526
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Dynamic effective connectivity.
    Zarghami TS; Friston KJ
    Neuroimage; 2020 Feb; 207():116453. PubMed ID: 31821868
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
    Hindriks R; Adhikari MH; Murayama Y; Ganzetti M; Mantini D; Logothetis NK; Deco G
    Neuroimage; 2016 Feb; 127():242-256. PubMed ID: 26631813
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Structural Basis of Large-Scale Functional Connectivity in the Mouse.
    Grandjean J; Zerbi V; Balsters JH; Wenderoth N; Rudin M
    J Neurosci; 2017 Aug; 37(34):8092-8101. PubMed ID: 28716961
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Transient states of network connectivity are atypical in autism: A dynamic functional connectivity study.
    Mash LE; Linke AC; Olson LA; Fishman I; Liu TT; Müller RA
    Hum Brain Mapp; 2019 Jun; 40(8):2377-2389. PubMed ID: 30681228
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI.
    Taghia J; Ryali S; Chen T; Supekar K; Cai W; Menon V
    Neuroimage; 2017 Jul; 155():271-290. PubMed ID: 28267626
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 52.