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Journal Abstract Search

242 related items for PubMed ID: 19188113

  • 1. Spatial characterization of FMRI activation maps using invariant 3-D moment descriptors.
    Ng B, Abugharbieh R, Huang X, McKeown MJ.
    IEEE Trans Med Imaging; 2009 Feb; 28(2):261-8. PubMed ID: 19188113
    [Abstract] [Full Text] [Related]

  • 2. Local linear discriminant analysis (LLDA) for group and region of interest (ROI)-based fMRI analysis.
    McKeown MJ, Li J, Huang X, Lewis MM, Rhee S, Young Truong KN, Wang ZJ.
    Neuroimage; 2007 Sep 01; 37(3):855-65. PubMed ID: 17627850
    [Abstract] [Full Text] [Related]

  • 3. A post-processing/region of interest (ROI) method for discriminating patterns of activity in statistical maps of fMRI data.
    McKeown MJ, Hanlon CA.
    J Neurosci Methods; 2004 May 30; 135(1-2):137-47. PubMed ID: 15020098
    [Abstract] [Full Text] [Related]

  • 4. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
    De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E.
    Neuroimage; 2008 Oct 15; 43(1):44-58. PubMed ID: 18672070
    [Abstract] [Full Text] [Related]

  • 5. Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data.
    Kim YH, Kim J, Lee JH.
    Neuroimage; 2012 Dec 15; 63(4):1864-89. PubMed ID: 22939873
    [Abstract] [Full Text] [Related]

  • 6. Modeling brain activation in fMRI using group MRF.
    Ng B, Hamarneh G, Abugharbieh R.
    IEEE Trans Med Imaging; 2012 May 15; 31(5):1113-23. PubMed ID: 22287237
    [Abstract] [Full Text] [Related]

  • 7. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis.
    Sato JR, Fujita A, Cardoso EF, Thomaz CE, Brammer MJ, Amaro E.
    Neuroimage; 2010 Oct 01; 52(4):1444-55. PubMed ID: 20472076
    [Abstract] [Full Text] [Related]

  • 8. Arterial spin labeling for motor activation mapping at 3T with a 32-channel coil: reproducibility and spatial accuracy in comparison with BOLD fMRI.
    Raoult H, Petr J, Bannier E, Stamm A, Gauvrit JY, Barillot C, Ferré JC.
    Neuroimage; 2011 Sep 01; 58(1):157-67. PubMed ID: 21689761
    [Abstract] [Full Text] [Related]

  • 9. Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering.
    Hossein-Zadeh GA, Ardekani BA, Soltanian-Zadeh H.
    IEEE Trans Med Imaging; 2003 Jul 01; 22(7):795-805. PubMed ID: 12906234
    [Abstract] [Full Text] [Related]

  • 10. A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps.
    Fadili MJ, Bullmore ET.
    Neuroimage; 2004 Nov 01; 23(3):1112-28. PubMed ID: 15528111
    [Abstract] [Full Text] [Related]

  • 11. Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.
    Faisan S, Thoraval L, Armspach JP, Foucher JR, Metz-Lutz MN, Heitz F.
    Acad Radiol; 2005 Jan 01; 12(1):25-36. PubMed ID: 15691723
    [Abstract] [Full Text] [Related]

  • 12. Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns.
    Jiang D, Du Y, Cheng H, Jiang T, Fan Y.
    Neuroimage; 2013 Nov 15; 82():355-72. PubMed ID: 23727315
    [Abstract] [Full Text] [Related]

  • 13. Study-specific EPI template improves group analysis in functional MRI of young and older adults.
    Huang CM, Lee SH, Hsiao IT, Kuan WC, Wai YY, Ko HJ, Wan YL, Hsu YY, Liu HL.
    J Neurosci Methods; 2010 Jun 15; 189(2):257-66. PubMed ID: 20346979
    [Abstract] [Full Text] [Related]

  • 14. An introduction to anatomical ROI-based fMRI classification analysis.
    Etzel JA, Gazzola V, Keysers C.
    Brain Res; 2009 Jul 28; 1282():114-25. PubMed ID: 19505449
    [Abstract] [Full Text] [Related]

  • 15. fMRI activation mapping as a percentage of local excitation: consistent presurgical motor maps without threshold adjustment.
    Voyvodic JT, Petrella JR, Friedman AH.
    J Magn Reson Imaging; 2009 Apr 28; 29(4):751-9. PubMed ID: 19306363
    [Abstract] [Full Text] [Related]

  • 16. Test-retest reliability of evoked BOLD signals from a cognitive-emotive fMRI test battery.
    Plichta MM, Schwarz AJ, Grimm O, Morgen K, Mier D, Haddad L, Gerdes AB, Sauer C, Tost H, Esslinger C, Colman P, Wilson F, Kirsch P, Meyer-Lindenberg A.
    Neuroimage; 2012 Apr 15; 60(3):1746-58. PubMed ID: 22330316
    [Abstract] [Full Text] [Related]

  • 17. Regions of interest for resting-state fMRI analysis determined by inter-voxel cross-correlation.
    Golestani AM, Goodyear BG.
    Neuroimage; 2011 May 01; 56(1):246-51. PubMed ID: 21338691
    [Abstract] [Full Text] [Related]

  • 18. Effects of spatial smoothing on fMRI group inferences.
    Mikl M, Marecek R, Hlustík P, Pavlicová M, Drastich A, Chlebus P, Brázdil M, Krupa P.
    Magn Reson Imaging; 2008 May 01; 26(4):490-503. PubMed ID: 18060720
    [Abstract] [Full Text] [Related]

  • 19. A new approach to spatial covariance modeling of functional brain imaging data: ordinal trend analysis.
    Habeck C, Krakauer JW, Ghez C, Sackeim HA, Eidelberg D, Stern Y, Moeller JR.
    Neural Comput; 2005 Jul 01; 17(7):1602-45. PubMed ID: 15901409
    [Abstract] [Full Text] [Related]

  • 20. Multi-site voxel-based morphometry--not quite there yet.
    Focke NK, Helms G, Kaspar S, Diederich C, Tóth V, Dechent P, Mohr A, Paulus W.
    Neuroimage; 2011 Jun 01; 56(3):1164-70. PubMed ID: 21324367
    [Abstract] [Full Text] [Related]

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