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Journal Abstract Search

344 related items for PubMed ID: 19414287

  • 1. A connectivity-based method for defining regions-of-interest in fMRI data.
    Deleus F, Van Hulle MM.
    IEEE Trans Image Process; 2009 Aug; 18(8):1760-71. PubMed ID: 19414287
    [Abstract] [Full Text] [Related]

  • 2. Functional connectivity analysis of fMRI data based on regularized multiset canonical correlation analysis.
    Deleus F, Van Hulle MM.
    J Neurosci Methods; 2011 Apr 15; 197(1):143-57. PubMed ID: 21277327
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. Functional connectivity analysis of fMRI data using parameterized regions-of-interest.
    Weeda WD, Waldorp LJ, Grasman RP, van Gaal S, Huizenga HM.
    Neuroimage; 2011 Jan 01; 54(1):410-6. PubMed ID: 20637877
    [Abstract] [Full Text] [Related]

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  • 6. 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]

  • 7. Evaluation and optimization of fMRI single-subject processing pipelines with NPAIRS and second-level CVA.
    Zhang J, Anderson JR, Liang L, Pulapura SK, Gatewood L, Rottenberg DA, Strother SC.
    Magn Reson Imaging; 2009 Feb 30; 27(2):264-78. PubMed ID: 18849131
    [Abstract] [Full Text] [Related]

  • 8. [A method based on regression analysis for detecting functional connectivity of human brain].
    Xu X, Wang H, Lu G, Zhong Y, Zhang Z, Lin Z, Shao X.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Apr 30; 26(2):273-6. PubMed ID: 19499785
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. Neural networks approach to clustering of activity in fMRI data.
    Voultsidou M, Dodel S, Herrmann JM.
    IEEE Trans Med Imaging; 2005 Aug 28; 24(8):987-96. PubMed ID: 16092331
    [Abstract] [Full Text] [Related]

  • 11. [A brain functional connectivity analysis based on independent component analysis].
    Zeng L, Yang Q, Lin B, Chen H.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Apr 28; 26(2):408-12. PubMed ID: 19499813
    [Abstract] [Full Text] [Related]

  • 12. Detecting functional connectivity in fMRI using PCA and regression analysis.
    Zhong Y, Wang H, Lu G, Zhang Z, Jiao Q, Liu Y.
    Brain Topogr; 2009 Sep 28; 22(2):134-44. PubMed ID: 19408112
    [Abstract] [Full Text] [Related]

  • 13. Measuring fMRI reliability with the intra-class correlation coefficient.
    Caceres A, Hall DL, Zelaya FO, Williams SC, Mehta MA.
    Neuroimage; 2009 Apr 15; 45(3):758-68. PubMed ID: 19166942
    [Abstract] [Full Text] [Related]

  • 14. 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 15; 17(7):1602-45. PubMed ID: 15901409
    [Abstract] [Full Text] [Related]

  • 15. Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory.
    Astolfi L, de Vico Fallani F, Cincotti F, Mattia D, Marciani MG, Bufalari S, Salinari S, Colosimo A, Ding L, Edgar JC, Heller W, Miller GA, He B, Babiloni F.
    Psychophysiology; 2007 Nov 15; 44(6):880-93. PubMed ID: 17617172
    [Abstract] [Full Text] [Related]

  • 16. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.
    Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM, Maguire RP, Hyman BT, Albert MS, Killiany RJ.
    Neuroimage; 2006 Jul 01; 31(3):968-80. PubMed ID: 16530430
    [Abstract] [Full Text] [Related]

  • 17. Testing anatomically specified hypotheses in functional imaging using cytoarchitectonic maps.
    Eickhoff SB, Heim S, Zilles K, Amunts K.
    Neuroimage; 2006 Aug 15; 32(2):570-82. PubMed ID: 16781166
    [Abstract] [Full Text] [Related]

  • 18. A group model for stable multi-subject ICA on fMRI datasets.
    Varoquaux G, Sadaghiani S, Pinel P, Kleinschmidt A, Poline JB, Thirion B.
    Neuroimage; 2010 May 15; 51(1):288-99. PubMed ID: 20153834
    [Abstract] [Full Text] [Related]

  • 19. Independent component model of the default-mode brain function: combining individual-level and population-level analyses in resting-state fMRI.
    Esposito F, Aragri A, Pesaresi I, Cirillo S, Tedeschi G, Marciano E, Goebel R, Di Salle F.
    Magn Reson Imaging; 2008 Sep 15; 26(7):905-13. PubMed ID: 18486388
    [Abstract] [Full Text] [Related]

  • 20. Model-free functional MRI analysis based on unsupervised clustering.
    Wismüller A, Meyer-Bäse A, Lange O, Auer D, Reiser MF, Sumners D.
    J Biomed Inform; 2004 Feb 15; 37(1):10-8. PubMed ID: 15016382
    [Abstract] [Full Text] [Related]

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