메뉴 건너뛰기




Volumn 102, Issue 2, 2007, Pages 186-191

Multivariate strategies in functional magnetic resonance imaging

Author keywords

Dimensional reduction; fMRI; Generalization; Laplacian eigenmap; NPAIRS

Indexed keywords

ARTICLE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LINEAR SYSTEM; MULTIVARIATE ANALYSIS; NONLINEAR SYSTEM; PREDICTION; STATISTICAL MODEL;

EID: 34250773862     PISSN: 0093934X     EISSN: 10902155     Source Type: Journal    
DOI: 10.1016/j.bandl.2006.12.004     Document Type: Article
Times cited : (22)

References (25)
  • 1
    • 34250762370 scopus 로고    scopus 로고
    • Beckmann, C., Noble, J., & Smith, S. (2001). Investigating the intrinsic dimensionality of fMRI data for ICA. In Proceedings of the seventh international conference on functional mapping of the human brain. NeuroImage (p. 13(6)S76).
  • 2
    • 84880203756 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • Dietterich T.G., Becker S., and Ghahramani Z. (Eds), MIT Press, Cambridge, MA
    • Belkin M., and Niyogi P. Laplacian eigenmaps and spectral techniques for embedding and clustering. In: Dietterich T.G., Becker S., and Ghahramani Z. (Eds). Advances in Neural Information Processing Systems 14 (2002), MIT Press, Cambridge, MA 585-591
    • (2002) Advances in Neural Information Processing Systems 14 , pp. 585-591
    • Belkin, M.1    Niyogi, P.2
  • 4
    • 84904079886 scopus 로고    scopus 로고
    • Frackowiak R., Friston K., Frith C., Dolan R., Price C., Zeki S., et al. (Eds), Academic Press
    • In: Frackowiak R., Friston K., Frith C., Dolan R., Price C., Zeki S., et al. (Eds). Human brain function. 2nd ed. (2003), Academic Press
    • (2003) Human brain function. 2nd ed.
  • 5
    • 34047115472 scopus 로고    scopus 로고
    • Bayesian averaging is well-temperated
    • Solla S.A., Leen T.K., and Müller K.-R. (Eds), The MIT Press
    • Hansen L.K. Bayesian averaging is well-temperated. In: Solla S.A., Leen T.K., and Müller K.-R. (Eds). NIPS (1999), The MIT Press 265-271
    • (1999) NIPS , pp. 265-271
    • Hansen, L.K.1
  • 7
    • 33745587777 scopus 로고    scopus 로고
    • Decoding mental states from brain activity in humans
    • Haynes J.D., and Rees G. Decoding mental states from brain activity in humans. Nature Reviews Neuroscience 7 7 (2006) 523-534
    • (2006) Nature Reviews Neuroscience , vol.7 , Issue.7 , pp. 523-534
    • Haynes, J.D.1    Rees, G.2
  • 8
    • 0026680856 scopus 로고
    • Evaluation of a neural network classifier for PET scans of normal and Alzheimers disease subjects
    • Kippenham J., Barker W., Pascal S., Nagel J., and Duara R. Evaluation of a neural network classifier for PET scans of normal and Alzheimers disease subjects. Journal Nuclear Medicine 33 (1992) 1459-1467
    • (1992) Journal Nuclear Medicine , vol.33 , pp. 1459-1467
    • Kippenham, J.1    Barker, W.2    Pascal, S.3    Nagel, J.4    Duara, R.5
  • 9
    • 0036331125 scopus 로고    scopus 로고
    • The quantitative evaluation of functional neuroimaging experiments: Mutual information learning curves
    • Kjems U., Hansen L., Anderson J., Frutiger S., Muley S., Sidtis J., et al. The quantitative evaluation of functional neuroimaging experiments: Mutual information learning curves. NeuroImage 15 4 (2002) 772-786
    • (2002) NeuroImage , vol.15 , Issue.4 , pp. 772-786
    • Kjems, U.1    Hansen, L.2    Anderson, J.3    Frutiger, S.4    Muley, S.5    Sidtis, J.6
  • 10
    • 34250698153 scopus 로고    scopus 로고
    • Kjems, U., Hansen, L. K., & Strother, S. C. (2000). Generalizable singular value decomposition for ill-posed datasets. In NIPS (pp. 549-555).
  • 12
    • 0037225392 scopus 로고    scopus 로고
    • The evaluation of preprocessing choices in single-subject BOLD fMRI using NPAIRS performance metrics
    • LaConte S., Anderson J., Muley S., Ash J., Frutiger S., Rehm K., et al. The evaluation of preprocessing choices in single-subject BOLD fMRI using NPAIRS performance metrics. NeuroImage 18 (2003) 10-27
    • (2003) NeuroImage , vol.18 , pp. 10-27
    • LaConte, S.1    Anderson, J.2    Muley, S.3    Ash, J.4    Frutiger, S.5    Rehm, K.6
  • 14
    • 34250771342 scopus 로고    scopus 로고
    • Lautrup, B., Hansen, L., Law, I., Mørch, N., Svarer, C., & Strother, S. (1994). Massive weight sharing: a cure for extremely ill-posed problems. In Workshop on supercomputing in brain research: From tomography to neural networks (pp. 137-144). Juelich, Germany.
  • 15
    • 0242404415 scopus 로고    scopus 로고
    • Independent component analysis for fMRI: What is signal and what is noise?
    • McKeown M., Hansen L.K., and Sejnowski T.J. Independent component analysis for fMRI: What is signal and what is noise?. Current Opinion in Neurobiology 13 5 (2003) 620-629
    • (2003) Current Opinion in Neurobiology , vol.13 , Issue.5 , pp. 620-629
    • McKeown, M.1    Hansen, L.K.2    Sejnowski, T.J.3
  • 17
    • 16544368766 scopus 로고    scopus 로고
    • Mitchell, T., Hutchinson, R., Just, M., Niculescu, R. S., Pereira, F., & Wang, X. (2003). Classifying instantaneous cognitive states from fMRI data. In American medical informatics association annual symposium.
  • 18
    • 84956868497 scopus 로고    scopus 로고
    • Mørch, N., Hansen, L., Strother, S., Svarer, C., Rottenberg, D., Lautrup, B., et al. (1997). Nonlinear vs. linear models in functional neuroimaging: learning curves and generalization crossover. In Proceedings of the 15th international conference on information processing in medical imaging, 1997. Vol. Springer Lecture Notes in Computer Science 1230 (pp. 259-270).
  • 19
    • 0029546883 scopus 로고    scopus 로고
    • Mørch, N., Kjems, U., Hansen, L., Svarer, C., Law, I., Lautrup, B., et al. (1995). Visualization of neural networks using saliency maps. In: Proceedings of the 1995 IEEE International Conference on Neural Networks. Vol. 4 (pp. 2085-2090).
  • 20
    • 84899013108 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • Dietterich T.G., Becker S., and Ghahramani Z. (Eds), MIT Press, Cambridge, MA
    • Ng A., Jordan M., and Weiss Y. On spectral clustering: Analysis and an algorithm. In: Dietterich T.G., Becker S., and Ghahramani Z. (Eds). Advances in Neural Information Processing Systems 14 (2001), MIT Press, Cambridge, MA 849-856
    • (2001) Advances in Neural Information Processing Systems 14 , pp. 849-856
    • Ng, A.1    Jordan, M.2    Weiss, Y.3
  • 22
    • 0036338502 scopus 로고    scopus 로고
    • The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework
    • Strother S., Anderson J., Hansen L., Kjems U., Kustra R., Sidtis J., et al. The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework. NeuroImage 15 4 (2002) 747-771
    • (2002) NeuroImage , vol.15 , Issue.4 , pp. 747-771
    • Strother, S.1    Anderson, J.2    Hansen, L.3    Kjems, U.4    Kustra, R.5    Sidtis, J.6
  • 23
    • 17144381302 scopus 로고    scopus 로고
    • Thirion, B., & Faugeras, O. (2004). Nonlinear dimension reduction of fM-RIdata: The Laplacian embedding approach. In Proceedings of the 2nd Proceedings of IEEE ISBI (pp. 372-375). Arlington, VA.
  • 24
    • 85139269470 scopus 로고    scopus 로고
    • Weiss, Y. (1999). Segmentation using eigenvectors: A unifying view. In ICCV (pp. 975-982) (2).
  • 25
    • 0031279853 scopus 로고    scopus 로고
    • Characterizing the response of PET and fMRI data using multivariate linear models
    • Worsley K.J., Poline J.-B., Friston K.J., and Evans A.C. Characterizing the response of PET and fMRI data using multivariate linear models. NeuroImage 6 4 (1997) 305-319
    • (1997) NeuroImage , vol.6 , Issue.4 , pp. 305-319
    • Worsley, K.J.1    Poline, J.-B.2    Friston, K.J.3    Evans, A.C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.