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 *

120 related articles for article (PubMed ID: 38944128)

  • 1. Estimation of complete mutual information exploiting nonlinear magnitude-phase dependence: Application to spatial FNC for complex-valued fMRI data.
    Li WX; Lin QH; Zhang CY; Han Y; Li HJ; Calhoun VD
    J Neurosci Methods; 2024 Sep; 409():110207. PubMed ID: 38944128
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia.
    Li WX; Lin QH; Zhao BH; Kuang LD; Zhang CY; Han Y; Calhoun VD
    J Neurosci Methods; 2024 Mar; 403():110049. PubMed ID: 38151187
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adaptive independent vector analysis for multi-subject complex-valued fMRI data.
    Kuang LD; Lin QH; Gong XF; Cong F; Calhoun VD
    J Neurosci Methods; 2017 Apr; 281():49-63. PubMed ID: 28214528
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A new transfer entropy method for measuring directed connectivity from complex-valued fMRI data.
    Li WX; Lin QH; Zhang CY; Han Y; Calhoun VD
    Front Neurosci; 2024; 18():1423014. PubMed ID: 39050665
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia.
    Kuang LD; Lin QH; Gong XF; Cong F; Sui J; Calhoun VD
    J Neurosci Methods; 2018 Jul; 304():24-38. PubMed ID: 29673968
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data.
    Motlaghian SM; Vahidi V; Belger A; Bustillo JR; Faghiri A; Ford JM; Iraji A; Lim K; Mathalon DH; Miller R; Mueller BA; O'Leary D; Potkin SG; Preda A; van Erp TG; Calhoun VD
    J Neurosci Methods; 2023 Apr; 389():109794. PubMed ID: 36652974
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data.
    Lin QH; Niu YW; Sui J; Zhao WD; Zhuo C; Calhoun VD
    Med Image Anal; 2022 Jul; 79():102430. PubMed ID: 35397470
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sparse representation of complex-valued fMRI data based on spatiotemporal concatenation of real and imaginary parts.
    Zhang CY; Lin QH; Kuang LD; Li WX; Gong XF; Calhoun VD
    J Neurosci Methods; 2021 Mar; 351():109047. PubMed ID: 33385421
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: application to schizophrenia.
    Castro E; Gómez-Verdejo V; Martínez-Ramón M; Kiehl KA; Calhoun VD
    Neuroimage; 2014 Feb; 87():1-17. PubMed ID: 24225489
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia.
    Sakoğlu U; Pearlson GD; Kiehl KA; Wang YM; Michael AM; Calhoun VD
    MAGMA; 2010 Dec; 23(5-6):351-66. PubMed ID: 20162320
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Relationship between Dynamic Blood-Oxygen-Level-Dependent Activity and Functional Network Connectivity: Characterization of Schizophrenia Subgroups.
    Long Q; Bhinge S; Calhoun VD; Adali T
    Brain Connect; 2021 Aug; 11(6):430-446. PubMed ID: 33724055
    [No Abstract]   [Full Text] [Related]  

  • 12. ICA of full complex-valued fMRI data using phase information of spatial maps.
    Yu MC; Lin QH; Kuang LD; Gong XF; Cong F; Calhoun VD
    J Neurosci Methods; 2015 Jul; 249():75-91. PubMed ID: 25857613
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian spatiotemporal modeling on complex-valued fMRI signals via kernel convolutions.
    Yu CH; Prado R; Ombao H; Rowe D
    Biometrics; 2023 Jun; 79(2):616-628. PubMed ID: 35143043
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Magnetoencephalographic and functional MRI connectomics in schizophrenia via intra- and inter-network connectivity.
    Houck JM; Çetin MS; Mayer AR; Bustillo JR; Stephen J; Aine C; Cañive J; Perrone-Bizzozero N; Thoma RJ; Brookes MJ; Calhoun VD
    Neuroimage; 2017 Jan; 145(Pt A):96-106. PubMed ID: 27725313
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity.
    Rashid B; Arbabshirani MR; Damaraju E; Cetin MS; Miller R; Pearlson GD; Calhoun VD
    Neuroimage; 2016 Jul; 134():645-657. PubMed ID: 27118088
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dynamic functional network connectivity reveals unique and overlapping profiles of insula subdivisions.
    Nomi JS; Farrant K; Damaraju E; Rachakonda S; Calhoun VD; Uddin LQ
    Hum Brain Mapp; 2016 May; 37(5):1770-87. PubMed ID: 26880689
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data.
    Wang Z; Rowe DB; Li X; Brown DA
    Magn Reson Imaging; 2024 Jun; 109():271-285. PubMed ID: 38537891
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis.
    Ma S; Calhoun VD; Phlypo R; Adalı T
    Neuroimage; 2014 Apr; 90():196-206. PubMed ID: 24418507
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity.
    Bi Y; Abrol A; Jia S; Sui J; Calhoun VD
    Neuroimage; 2024 Aug; 297():120674. PubMed ID: 38851549
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from resting data: A large N fMRI schizophrenia study.
    Meng X; Iraji A; Fu Z; Kochunov P; Belger A; Ford JM; McEwen S; Mathalon DH; Mueller BA; Pearlson G; Potkin SG; Preda A; Turner J; van Erp TGM; Sui J; Calhoun VD
    Neuroimage Clin; 2023; 38():103434. PubMed ID: 37209635
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.