BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

221 related articles for article (PubMed ID: 20884360)

  • 1. Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics.
    Hauk O; Wakeman DG; Henson R
    Neuroimage; 2011 Feb; 54(3):1966-74. PubMed ID: 20884360
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Towards an objective evaluation of EEG/MEG source estimation methods - The linear approach.
    Hauk O; Stenroos M; Treder MS
    Neuroimage; 2022 Jul; 255():119177. PubMed ID: 35390459
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG.
    Hedrich T; Pellegrino G; Kobayashi E; Lina JM; Grova C
    Neuroimage; 2017 Aug; 157():531-544. PubMed ID: 28619655
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates.
    Lin FH; Witzel T; Ahlfors SP; Stufflebeam SM; Belliveau JW; Hämäläinen MS
    Neuroimage; 2006 May; 31(1):160-71. PubMed ID: 16520063
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Linear inverse solutions: simulations from a realistic head model in MEG.
    Soufflet L; Boeijinga PH
    Brain Topogr; 2005; 18(2):87-99. PubMed ID: 16341577
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quantification of the benefit from integrating MEG and EEG data in minimum l2-norm estimation.
    Molins A; Stufflebeam SM; Brown EN; Hämäläinen MS
    Neuroimage; 2008 Sep; 42(3):1069-77. PubMed ID: 18602485
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Monte Carlo simulation studies of EEG and MEG localization accuracy.
    Liu AK; Dale AM; Belliveau JW
    Hum Brain Mapp; 2002 May; 16(1):47-62. PubMed ID: 11870926
    [TBL] [Abstract][Full Text] [Related]  

  • 8. EEG minimum-norm estimation compared with MEG dipole fitting in the localization of somatosensory sources at S1.
    Komssi S; Huttunen J; Aronen HJ; Ilmoniemi RJ
    Clin Neurophysiol; 2004 Mar; 115(3):534-42. PubMed ID: 15036048
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Self-Consistent MUSIC: An approach to the localization of true brain interactions from EEG/MEG data.
    Shahbazi F; Ewald A; Nolte G
    Neuroimage; 2015 May; 112():299-309. PubMed ID: 25746153
    [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. Linear inverse source estimate of combined EEG and MEG data related to voluntary movements.
    Babiloni F; Carducci F; Cincotti F; Del Gratta C; Pizzella V; Romani GL; Rossini PM; Tecchio F; Babiloni C
    Hum Brain Mapp; 2001 Dec; 14(4):197-209. PubMed ID: 11668651
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessment of subcortical source localization using deep brain activity imaging model with minimum norm operators: a MEG study.
    Attal Y; Schwartz D
    PLoS One; 2013; 8(3):e59856. PubMed ID: 23527277
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction.
    Sekihara K; Sahani M; Nagarajan SS
    Neuroimage; 2005 May; 25(4):1056-67. PubMed ID: 15850724
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian analysis of the neuromagnetic inverse problem with l(p)-norm priors.
    Auranen T; Nummenmaa A; Hämäläinen MS; Jääskeläinen IP; Lampinen J; Vehtari A; Sams M
    Neuroimage; 2005 Jul; 26(3):870-84. PubMed ID: 15955497
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Harmony: EEG/MEG linear inverse source reconstruction in the anatomical basis of spherical harmonics.
    Petrov Y
    PLoS One; 2012; 7(10):e44439. PubMed ID: 23071497
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data.
    Hauk O
    Neuroimage; 2004 Apr; 21(4):1612-21. PubMed ID: 15050585
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EEG/MEG source imaging using fMRI informed time-variant constraints.
    Xu J; Sheng J; Qian T; Luo YJ; Gao JH
    Hum Brain Mapp; 2018 Apr; 39(4):1700-1711. PubMed ID: 29293277
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiple sparse priors for the M/EEG inverse problem.
    Friston K; Harrison L; Daunizeau J; Kiebel S; Phillips C; Trujillo-Barreto N; Henson R; Flandin G; Mattout J
    Neuroimage; 2008 Feb; 39(3):1104-20. PubMed ID: 17997111
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A framework for the design of flexible cross-talk functions for spatial filtering of EEG/MEG data: DeFleCT.
    Hauk O; Stenroos M
    Hum Brain Mapp; 2014 Apr; 35(4):1642-53. PubMed ID: 23616402
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.