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Volumn 7624, Issue , 2010, Pages

Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CLUSTERING ALGORITHMS; COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; POLYPROPYLENES;

EID: 84955305837     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.843014     Document Type: Conference Paper
Times cited : (36)

References (20)
  • 1
    • 0029166541 scopus 로고
    • Functional connectivity in the motor cortex of resting human brain using echoplanar MRI
    • B. Biswal and F. Yetkin and V. Haughton and J. Hyde, "Functional Connectivity in the Motor Cortex of Resting Human Brain Using Echoplanar MRI," Magnetic Resonance in Medicine, vol. 34, pp. 537-541, 1995.
    • (1995) Magnetic Resonance in Medicine , vol.34 , pp. 537-541
    • Biswal, B.1    Yetkin, F.2    Haughton, V.3    Hyde, J.4
  • 2
    • 0345689402 scopus 로고    scopus 로고
    • Detecting low-Frequency functional connectivity in fMRI Using a Self-Organizing Map (SOM) Algorithm
    • S. Peltier and T. Polk and D. Noll, "Detecting Low-Frequency Functional Connectivity in fMRI Using a Self-Organizing Map (SOM) Algorithm,' Human Brain Mapping, vol. 20, pp. 220-226, 2003.
    • (2003) Human Brain Mapping , vol.20 , pp. 220-226
    • Peltier, S.1    Polk, T.2    Noll, D.3
  • 3
    • 0027983045 scopus 로고
    • Synthetic images by subspace transforms I. Principal components images and related filters
    • J. Sychra and P. Bandettini and N. Bhattacharya and Q. Lin, "Synthetic images by subspace transforms I. Principal components images and related filters," Med. Phys., vol. 21, pp. 193-201, 1994.
    • (1994) Med. Phys. , vol.21 , pp. 193-201
    • Sychra, J.1    Bandettini, P.2    Bhattacharya, N.3    Lin, Q.4
  • 4
    • 0029902096 scopus 로고    scopus 로고
    • Quantification of intensity variations in functional MR images using Rotated principal components
    • W. Backfrieder and R. Baumgartner and M. Samal and E. Moser and H. Bergmann, "Quantification of intensity variations in functional MR images using Rotated principal components," Phys. Med. Biol., vol. 41, pp. 1425-1438, 1996.
    • (1996) Phys. Med. Biol. , vol.41 , pp. 1425-1438
    • Backfrieder, W.1    Baumgartner, R.2    Samal, M.3    Moser, E.4    Bergmann, H.5
  • 5
    • 0032477880 scopus 로고    scopus 로고
    • Spatially independent activity patterns in functional magnetic resonance imaging data during the Stroop color-naming task
    • M. McKeown and T. Jung and S. Makeig and G. Brown and T. Jung and S. Kindermann and A. Bell and T. Sejnowski, "Spatially independent activity patterns in functional magnetic resonance imaging data during the Stroop color-naming task," Proc. Natl. Acad. Sci., vol. 95, pp. 803-810, 1998.
    • (1998) Proc. Natl. Acad. Sci. , vol.95 , pp. 803-810
    • McKeown, M.1    Jung, T.2    Makeig, S.3    Brown, G.4    Jung, T.5    Kindermann, S.6    Bell, A.7    Sejnowski, T.8
  • 7
    • 0036301035 scopus 로고    scopus 로고
    • Spatial independent component analysis of functional MRI time-series: To what extent do results depend on the algorithm used
    • F. Esposito and E. Formisano and E. Seifritz and R. Goebel and R. Morrone and G. Tedeschi and F. Di Salle, "Spatial independent component analysis of functional MRI time-series: to what extent do results depend on the algorithm used," Human Brain Mapping,vol. 16, pp. 146-157, 2002.
    • (2002) Human Brain Mapping , vol.16 , pp. 146-157
    • Esposito, F.1    Formisano, E.2    Seifritz, E.3    Goebel, R.4    Morrone, R.5    Tedeschi, G.6    Di Salle, F.7
  • 8
    • 0033652287 scopus 로고    scopus 로고
    • Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets
    • K. Arfanakis and D. Cordes and V. Haughton and C. Moritz and M. Quigley and M. Meyerand, "Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets," Magnetic Resonance Imaging, vol. 18, pp. 921-930, 2000.
    • (2000) Magnetic Resonance Imaging , vol.18 , pp. 921-930
    • Arfanakis, K.1    Cordes, D.2    Haughton, V.3    Moritz, C.4    Quigley, M.5    Meyerand, M.6
  • 9
    • 0000655991 scopus 로고
    • Detection novelty in functional imaging using fuzzy clustering
    • volume = 95
    • G. Scarth and M. McIntrye and B. Wowk and R. Samorjai, "Detection novelty in functional imaging using fuzzy clustering," Proc. SMR 3rd Annu. Meeting, vol. 95, pp. 238-242, 1995. volume = 95
    • (1995) Proc. SMR 3rd Annu. Meeting , vol.95 , pp. 238-242
    • Scarth, G.1    McIntrye, M.2    Wowk, B.3    Samorjai, R.4
  • 10
    • 0033233279 scopus 로고    scopus 로고
    • Model-Free functional MRI Analysis using kohonen clustering neural network and Fuzzy C-Means
    • K. Chuang and M. Chiu and C. Lin and J. Chen, "Model-Free Functional MRI Analysis Using Kohonen Clustering Neural Network and Fuzzy C-Means," IEEE Transaction on Medical Imaging, vol. 18, pp. 1117-1128, 1999.
    • (1999) IEEE Transaction on Medical Imaging , vol.18 , pp. 1117-1128
    • Chuang, K.1    Chiu, M.2    Lin, C.3    Chen, J.4
  • 11
    • 0033989016 scopus 로고    scopus 로고
    • Comparison of two exploratory data analysis methods for fMRI: Fuzzy clustering versus principal component analysis
    • R. Baumgartner and L. Ryder and W. Richter and R. Summers and M. Jarmasz and R. Somorjai, "Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering versus principal component analysis," Magnetic Resonance Imaging, vol. 18, pp. 89-94, 2000.
    • (2000) Magnetic Resonance Imaging , vol.18 , pp. 89-94
    • Baumgartner, R.1    Ryder, L.2    Richter, W.3    Summers, R.4    Jarmasz, M.5    Somorjai, R.6
  • 12
  • 13
    • 0032898970 scopus 로고    scopus 로고
    • Analysis of fMRI imaging data using self-organizing mapping with spatial connectivity
    • S. Ngan and X. Hu, "Analysis of fMRI imaging data using self-organizing mapping with spatial connectivity," Magn. Reson. Med., vol. 41, pp. 939-946, 1999.
    • (1999) Magn. Reson. Med. , vol.41 , pp. 939-946
    • Ngan, S.1    Hu, X.2
  • 14
    • 0032602777 scopus 로고    scopus 로고
    • A stochastic self-Organizing map for proximity data
    • T. Graepel and K. Obermayer, "A Stochastic Self-Organizing Map for Proximity Data," Neural Computation, vol. 11, pp. 139-155, 1999.
    • (1999) Neural Computation , vol.11 , pp. 139-155
    • Graepel, T.1    Obermayer, K.2
  • 15
    • 0024991997 scopus 로고
    • Networks and the best approximation property
    • F. Girosi and T. Poggio. Networks and the best approximation property. Biological Cybernetics, 63:169-176, 1990.
    • (1990) Biological Cybernetics , vol.63 , pp. 169-176
    • Girosi, F.1    Poggio, T.2
  • 16
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J. Moody and C. Darken. Fast learning in networks of locally-tuned processing units. Neural Computation, 1:281-294, 1989.
    • (1989) Neural Computation , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.2
  • 18
    • 0009508840 scopus 로고    scopus 로고
    • Segmentation with neural networks
    • Isaac Bankman, Raj Rangayyan, Alan Evans, Roger Woods, Elliot Fishman, Henry Huang, editors Johns Hopkins University, Baltimore Academic Press
    • A. Wismüller, F. Vietze, D.R. Dersch. Segmentation with neural networks. In Isaac Bankman, Raj Rangayyan, Alan Evans, Roger Woods, Elliot Fishman, Henry Huang, editors, Handbook of Medical Imaging, Johns Hopkins University, Baltimore, 2000. Academic Press. ISBN 0120777908.
    • (2000) Handbook of Medical Imaging
    • Wismüller, A.1    Vietze, F.2    Dersch, D.R.3
  • 20
    • 0028724624 scopus 로고
    • Morphometric analysis of white matter lesions in MR Images: Method and validation
    • A. Zijdenbos and B. Dawant and R. Margolin and A. Palmer, "Morphometric Analysis of White Matter Lesions in MR Images: Method and Validation," IEEE Transaction on Medical Imaging, vol. 13, pp. 716-724, 1994.
    • (1994) IEEE Transaction on Medical Imaging , vol.13 , pp. 716-724
    • Zijdenbos, A.1    Dawant, B.2    Margolin, R.3    Palmer, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.