BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

654 related articles for article (PubMed ID: 30120987)

  • 1. 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]  

  • 2. Test-retest reliability of dynamic functional connectivity in naturalistic paradigm functional magnetic resonance imaging.
    Zhang X; Liu J; Yang Y; Zhao S; Guo L; Han J; Hu X
    Hum Brain Mapp; 2022 Mar; 43(4):1463-1476. PubMed ID: 34870361
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Intra-session test-retest reliability of functional connectivity in infants.
    Wang Y; Hinds W; Duarte CS; Lee S; Monk C; Wall M; Canino G; Milani ACC; Jackowski A; Mamin MG; Foerster BU; Gingrich J; Weissman MM; Peterson BS; Semanek D; Perez EA; Labat E; Torres IB; Da Silva I; Parente C; Abdala N; Posner J
    Neuroimage; 2021 Oct; 239():118284. PubMed ID: 34147630
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Distinct dynamic functional connectivity patterns of pain and touch thresholds: A resting-state fMRI study.
    Yuan Y; Zhang L; Li L; Huang G; Anter A; Liang Z; Zhang Z
    Behav Brain Res; 2019 Dec; 375():112142. PubMed ID: 31394144
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Brain parcellation driven by dynamic functional connectivity better capture intrinsic network dynamics.
    Fan L; Zhong Q; Qin J; Li N; Su J; Zeng LL; Hu D; Shen H
    Hum Brain Mapp; 2021 Apr; 42(5):1416-1433. PubMed ID: 33283954
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reliability modelling of resting-state functional connectivity.
    Teeuw J; Hulshoff Pol HE; Boomsma DI; Brouwer RM
    Neuroimage; 2021 May; 231():117842. PubMed ID: 33581291
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Validating dynamicity in resting state fMRI with activation-informed temporal segmentation.
    Duda M; Koutra D; Sripada C
    Hum Brain Mapp; 2021 Dec; 42(17):5718-5735. PubMed ID: 34510647
    [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. Impact of 36 h of total sleep deprivation on resting-state dynamic functional connectivity.
    Xu H; Shen H; Wang L; Zhong Q; Lei Y; Yang L; Zeng LL; Zhou Z; Hu D; Yang Z
    Brain Res; 2018 Jun; 1688():22-32. PubMed ID: 29174693
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Test-retest reliability of fMRI-based graph theoretical properties during working memory, emotion processing, and resting state.
    Cao H; Plichta MM; Schäfer A; Haddad L; Grimm O; Schneider M; Esslinger C; Kirsch P; Meyer-Lindenberg A; Tost H
    Neuroimage; 2014 Jan; 84():888-900. PubMed ID: 24055506
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A human brain atlas derived via n-cut parcellation of resting-state and task-based fMRI data.
    James GA; Hazaroglu O; Bush KA
    Magn Reson Imaging; 2016 Feb; 34(2):209-18. PubMed ID: 26523655
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Abnormal static and dynamic functional network connectivity of the whole-brain in children with generalized tonic-clonic seizures.
    Li Y; Ran Y; Chen Q
    Front Neurosci; 2023; 17():1236696. PubMed ID: 37670842
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Functional connectivity in BOLD and CBF data: similarity and reliability of resting brain networks.
    Jann K; Gee DG; Kilroy E; Schwab S; Smith RX; Cannon TD; Wang DJ
    Neuroimage; 2015 Feb; 106():111-22. PubMed ID: 25463468
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 33.