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 *

101 related articles for article (PubMed ID: 27456763)

  • 1. Source localization scale correction for Beamformer analysis.
    Shapira Lots I; Zeev-Wolf M; Harpaz Y; Abeles M
    J Neurosci Methods; 2016 Nov; 273():10-19. PubMed ID: 27456763
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization.
    Woolrich M; Hunt L; Groves A; Barnes G
    Neuroimage; 2011 Aug; 57(4):1466-79. PubMed ID: 21620977
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Source localization with MEG data: A beamforming approach based on covariance thresholding.
    Zhang J; Liu C; Green G
    Biometrics; 2014 Mar; 70(1):121-31. PubMed ID: 24350784
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modified covariance beamformer for solving MEG inverse problem in the environment with correlated sources.
    Kuznetsova A; Nurislamova Y; Ossadtchi A
    Neuroimage; 2021 Mar; 228():117677. PubMed ID: 33385549
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Signal space separation beamformer.
    Vrba J; Taulu S; Nenonen J; Ahonen A
    Brain Topogr; 2010 Jun; 23(2):128-33. PubMed ID: 19943101
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals.
    Engemann DA; Gramfort A
    Neuroimage; 2015 Mar; 108():328-42. PubMed ID: 25541187
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique.
    Sekihara K; Nagarajan SS; Poeppel D; Marantz A; Miyashita Y
    IEEE Trans Biomed Eng; 2001 Jul; 48(7):760-71. PubMed ID: 11442288
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MEG source imaging method using fast L1 minimum-norm and its applications to signals with brain noise and human resting-state source amplitude images.
    Huang MX; Huang CW; Robb A; Angeles A; Nichols SL; Baker DG; Song T; Harrington DL; Theilmann RJ; Srinivasan R; Heister D; Diwakar M; Canive JM; Edgar JC; Chen YH; Ji Z; Shen M; El-Gabalawy F; Levy M; McLay R; Webb-Murphy J; Liu TT; Drake A; Lee RR
    Neuroimage; 2014 Jan; 84():585-604. PubMed ID: 24055704
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessment and elimination of the effects of head movement on MEG resting-state measures of oscillatory brain activity.
    Messaritaki E; Koelewijn L; Dima DC; Williams GM; Perry G; Singh KD
    Neuroimage; 2017 Oct; 159():302-324. PubMed ID: 28735011
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The impact of MEG source reconstruction method on source-space connectivity estimation: A comparison between minimum-norm solution and beamforming.
    Hincapié AS; Kujala J; Mattout J; Pascarella A; Daligault S; Delpuech C; Mery D; Cosmelli D; Jerbi K
    Neuroimage; 2017 Aug; 156():29-42. PubMed ID: 28479475
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The use of anatomical constraints with MEG beamformers.
    Hillebrand A; Barnes GR
    Neuroimage; 2003 Dec; 20(4):2302-13. PubMed ID: 14683731
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing interactions of linear and nonlinear neuronal sources using MEG beamformers: a proof of concept.
    Hadjipapas A; Hillebrand A; Holliday IE; Singh KD; Barnes GR
    Clin Neurophysiol; 2005 Jun; 116(6):1300-13. PubMed ID: 15978493
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sensitivity of beamformer source analysis to deficiencies in forward modeling.
    Steinsträter O; Sillekens S; Junghoefer M; Burger M; Wolters CH
    Hum Brain Mapp; 2010 Dec; 31(12):1907-27. PubMed ID: 21086549
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison and improvements of LCMV and MUSIC source localization techniques for use in real clinical environments.
    Hoyos Ad; Portillo J; Portillo I; Marín P; Maestú F; Poch-Broto J; Ortiz T; Hernando A
    J Neurosci Methods; 2012 Apr; 205(2):312-23. PubMed ID: 22330793
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis.
    Treder MS; Porbadnigk AK; Shahbazi Avarvand F; Müller KR; Blankertz B
    Neuroimage; 2016 Apr; 129():279-291. PubMed ID: 26804780
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ICA-based artifact correction improves spatial localization of adaptive spatial filters in MEG.
    Fatima Z; Quraan MA; Kovacevic N; McIntosh AR
    Neuroimage; 2013 Sep; 78():284-94. PubMed ID: 23603349
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Clustering strategies for optimal trial selection in multisensor environments. An eigenvector based approach.
    de Hoyos A; Portillo J; Marín P; Maestú F; M JL; Hernando A
    J Neurosci Methods; 2014 Jan; 222():1-14. PubMed ID: 24157861
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Non-Gaussian probabilistic MEG source localisation based on kernel density estimation.
    Mohseni HR; Kringelbach ML; Woolrich MW; Baker A; Aziz TZ; Probert-Smith P
    Neuroimage; 2014 Feb; 87():444-64. PubMed ID: 24055702
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-session statistics on beamformed MEG data.
    Luckhoo HT; Brookes MJ; Woolrich MW
    Neuroimage; 2014 Jul; 95(100):330-5. PubMed ID: 24412400
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Non-parametric statistical thresholding of baseline free MEG beamformer images.
    Prendergast G; Johnson SR; Hymers M; Woods W; Green GG
    Neuroimage; 2011 Jan; 54(2):906-18. PubMed ID: 20696257
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.