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Journal Abstract Search

123 related items for PubMed ID: 11870925

  • 1. Anatomically informed basis functions in multisubject studies.
    Kiebel S, Friston KJ.
    Hum Brain Mapp; 2002 May; 16(1):36-46. PubMed ID: 11870925
    [Abstract] [Full Text] [Related]

  • 2. Anatomically informed basis functions.
    Kiebel SJ, Goebel R, Friston KJ.
    Neuroimage; 2000 Jun; 11(6 Pt 1):656-67. PubMed ID: 10860794
    [Abstract] [Full Text] [Related]

  • 3. Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets.
    Thirion B, Flandin G, Pinel P, Roche A, Ciuciu P, Poline JB.
    Hum Brain Mapp; 2006 Aug; 27(8):678-93. PubMed ID: 16281292
    [Abstract] [Full Text] [Related]

  • 4. A Bayesian spatial model for neuroimaging data based on biologically informed basis functions.
    Huertas I, Oldehinkel M, van Oort ESB, Garcia-Solis D, Mir P, Beckmann CF, Marquand AF.
    Neuroimage; 2017 Nov 01; 161():134-148. PubMed ID: 28782681
    [Abstract] [Full Text] [Related]

  • 5. Intracortical smoothing of small-voxel fMRI data can provide increased detection power without spatial resolution losses compared to conventional large-voxel fMRI data.
    Blazejewska AI, Fischl B, Wald LL, Polimeni JR.
    Neuroimage; 2019 Apr 01; 189():601-614. PubMed ID: 30690157
    [Abstract] [Full Text] [Related]

  • 6. Extraction and Automatic Grouping of Joint and Individual Sources in Multisubject fMRI Data Using Higher Order Cumulants.
    Pakravan M, Shamsollahi MB.
    IEEE J Biomed Health Inform; 2019 Mar 01; 23(2):744-757. PubMed ID: 29993727
    [Abstract] [Full Text] [Related]

  • 7. [The statistical imaging analysis in brain using nuclear medicine and FMRI techniques].
    Kawamura S, Ueno Y.
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2003 May 01; 59(5):594-603. PubMed ID: 12881687
    [No Abstract] [Full Text] [Related]

  • 8. Statistical methods in neuroimaging with particular application to emission tomography.
    McColl JH, Holmes AP, Ford I.
    Stat Methods Med Res; 1994 May 01; 3(1):63-86. PubMed ID: 8044354
    [Abstract] [Full Text] [Related]

  • 9. Effective connectivity and intersubject variability: using a multisubject network to test differences and commonalities.
    Mechelli A, Penny WD, Price CJ, Gitelman DR, Friston KJ.
    Neuroimage; 2002 Nov 01; 17(3):1459-69. PubMed ID: 12414285
    [Abstract] [Full Text] [Related]

  • 10. Harnessing graphics processing units for improved neuroimaging statistics.
    Eklund A, Villani M, Laconte SM.
    Cogn Affect Behav Neurosci; 2013 Sep 01; 13(3):587-97. PubMed ID: 23625719
    [Abstract] [Full Text] [Related]

  • 11. Multisubject activation detection in fMRI by testing correlation of data with a signal subspace.
    Shams SM, Hossein-Zadeh GA, Soltanian-Zadeh H.
    Magn Reson Imaging; 2006 Jul 01; 24(6):775-84. PubMed ID: 16824972
    [Abstract] [Full Text] [Related]

  • 12. The problem of functional localization in the human brain.
    Brett M, Johnsrude IS, Owen AM.
    Nat Rev Neurosci; 2002 Mar 01; 3(3):243-9. PubMed ID: 11994756
    [Abstract] [Full Text] [Related]

  • 13. Integrated volume visualization of functional image data and anatomical surfaces using normal fusion.
    Stokking R, Zuiderveld KJ, Viergever MA.
    Hum Brain Mapp; 2001 Apr 01; 12(4):203-18. PubMed ID: 11241872
    [Abstract] [Full Text] [Related]

  • 14. MRI and PET coregistration--a cross validation of statistical parametric mapping and automated image registration.
    Kiebel SJ, Ashburner J, Poline JB, Friston KJ.
    Neuroimage; 1997 May 01; 5(4 Pt 1):271-9. PubMed ID: 9345556
    [Abstract] [Full Text] [Related]

  • 15. Anatomically informed interpolation of fMRI data on the cortical surface.
    Grova C, Makni S, Flandin G, Ciuciu P, Gotman J, Poline JB.
    Neuroimage; 2006 Jul 15; 31(4):1475-86. PubMed ID: 16650778
    [Abstract] [Full Text] [Related]

  • 16. Two novel PET image restoration methods guided by PET-MR kernels: Application to brain imaging.
    Tahaei MS, Reader AJ, Collins DL.
    Med Phys; 2019 May 15; 46(5):2085-2102. PubMed ID: 30710342
    [Abstract] [Full Text] [Related]

  • 17. Projection of fMRI data onto the cortical surface using anatomically-informed convolution kernels.
    Operto G, Bulot R, Anton JL, Coulon O.
    Neuroimage; 2008 Jan 01; 39(1):127-35. PubMed ID: 17931891
    [Abstract] [Full Text] [Related]

  • 18. Nonparametric permutation tests for functional neuroimaging: a primer with examples.
    Nichols TE, Holmes AP.
    Hum Brain Mapp; 2002 Jan 01; 15(1):1-25. PubMed ID: 11747097
    [Abstract] [Full Text] [Related]

  • 19. Classical and Bayesian inference in neuroimaging: applications.
    Friston KJ, Glaser DE, Henson RN, Kiebel S, Phillips C, Ashburner J.
    Neuroimage; 2002 Jun 01; 16(2):484-512. PubMed ID: 12030833
    [Abstract] [Full Text] [Related]

  • 20. Functionally informed cortex based alignment: an integrated approach for whole-cortex macro-anatomical and ROI-based functional alignment.
    Frost MA, Goebel R.
    Neuroimage; 2013 Dec 01; 83():1002-10. PubMed ID: 23899723
    [Abstract] [Full Text] [Related]

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