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Volumn 25, Issue 3, 2005, Pages 802-814

Removing the effects of task-related motion using independent-component analysis

Author keywords

Functional MRI; Independent component analysis (ICA); Motion; Regression; Voxel

Indexed keywords

ANALYTIC METHOD; ARTICLE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS; MOVEMENT PERCEPTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; TASK PERFORMANCE; TIME SERIES ANALYSIS;

EID: 16244365529     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2004.12.027     Document Type: Article
Times cited : (54)

References (35)
  • 2
    • 0033652287 scopus 로고    scopus 로고
    • Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets
    • K. Arfanakis, D. Cordes, V.M. Haughton, C.H. Moritz, M.A. Quigley, and M.E. Meyerand Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets Magn. Reson. Imaging 18 2000 921 930
    • (2000) Magn. Reson. Imaging , vol.18 , pp. 921-930
    • Arfanakis, K.1    Cordes, D.2    Haughton, V.M.3    Moritz, C.H.4    Quigley, M.A.5    Meyerand, M.E.6
  • 3
    • 0000069203 scopus 로고    scopus 로고
    • Image registration
    • A.T.W. Moonen P.A. Bandettini Springer Berlin
    • J. Ashburner, and K.J. Friston Image registration A.T.W. Moonen P.A. Bandettini Functional MRI 1999 Springer Berlin 285 299
    • (1999) Functional MRI , pp. 285-299
    • Ashburner, J.1    Friston, K.J.2
  • 5
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • A.J. Bell, and T.J. Sejnowski An information-maximization approach to blind separation and blind deconvolution Neural Comput. 7 1995 1129 1159
    • (1995) Neural Comput. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 8
    • 0032991979 scopus 로고    scopus 로고
    • Blind source separation of multiple signal sources of fMRI data sets using independent component analysis
    • B.B. Biswal, and J.L. Ulmer Blind source separation of multiple signal sources of fMRI data sets using independent component analysis J. Comput. Assist. Tomogr. 23 1999 265 271
    • (1999) J. Comput. Assist. Tomogr. , vol.23 , pp. 265-271
    • Biswal, B.B.1    Ulmer, J.L.2
  • 9
    • 84958839520 scopus 로고
    • A simple test for heteroscedasticity and random coefficient variation
    • T.S. Breusch, and A.R. Pagan A simple test for heteroscedasticity and random coefficient variation Econometrica 47 1979 1287 1294
    • (1979) Econometrica , vol.47 , pp. 1287-1294
    • Breusch, T.S.1    Pagan, A.R.2
  • 11
    • 0035172708 scopus 로고    scopus 로고
    • FMRI activation in a visual-perception task: Network of areas detected using the general linear model and independent components analysis
    • V.D. Calhoun, T. Adali, V.B. McGinty, J.J. Pekar, T.D. Watson, and G.D. Pearlson fMRI activation in a visual-perception task: network of areas detected using the general linear model and independent components analysis NeuroImage 14 2001 1080 1088
    • (2001) NeuroImage , vol.14 , pp. 1080-1088
    • Calhoun, V.D.1    Adali, T.2    McGinty, V.B.3    Pekar, J.J.4    Watson, T.D.5    Pearlson, G.D.6
  • 13
    • 0030883658 scopus 로고    scopus 로고
    • Suppression of physiological eye movement artifacts in functional MRI using slab presaturation
    • W. Chen, and X.H. Zhu Suppression of physiological eye movement artifacts in functional MRI using slab presaturation Magn. Reson. Med. 38 1997 546 550
    • (1997) Magn. Reson. Med. , vol.38 , pp. 546-550
    • Chen, W.1    Zhu, X.H.2
  • 15
    • 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, E. Formisano, E. Seifritz, R. Goebel, R. Morrone, 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? Hum. Brain Mapp. 16 2002 146 157
    • (2002) Hum. Brain Mapp. , 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
  • 16
    • 0033824308 scopus 로고    scopus 로고
    • False cerebral activation on BOLD functional MR images: Study of low-amplitude motion weakly correlated to stimulus
    • A.S. Field, Y.F. Yen, J.H. Burdette, and A.D. Elster False cerebral activation on BOLD functional MR images: study of low-amplitude motion weakly correlated to stimulus Am. J. Neuroradiol. 21 2000 1388 1396
    • (2000) Am. J. Neuroradiol. , vol.21 , pp. 1388-1396
    • Field, A.S.1    Yen, Y.F.2    Burdette, J.H.3    Elster, A.D.4
  • 24
    • 0002800701 scopus 로고    scopus 로고
    • Characterizing brain images with the General Linear Model
    • R.S.J. Frackowiak K.J. Friston C.D. Frith R.J. Dolan J.C. Mazziotta Academic Press San Diego
    • A. Holmes, J.B. Poline, and K.J. Friston Characterizing brain images with the General Linear Model R.S.J. Frackowiak K.J. Friston C.D. Frith R.J. Dolan J.C. Mazziotta Human Brain Function 1997 Academic Press San Diego 59 84
    • (1997) Human Brain Function , pp. 59-84
    • Holmes, A.1    Poline, J.B.2    Friston, K.J.3
  • 25
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • A. Hyvarinen Fast and robust fixed-point algorithms for independent component analysis Trans. Neural Netw. 10 1999 626 634
    • (1999) Trans. Neural Netw. , vol.10 , pp. 626-634
    • Hyvarinen, A.1
  • 26
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • A. Hyvarinen, and E. Oja Independent component analysis: algorithms and applications Neural Netw. 13 2000 411 430
    • (2000) Neural Netw. , vol.13 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 28
    • 0033950516 scopus 로고    scopus 로고
    • Detection of consistently task-related activations in fMRI data with hybrid independent component analysis
    • M.J. McKeown Detection of consistently task-related activations in fMRI data with hybrid independent component analysis NeuroImage 11 2000 24 35
    • (2000) NeuroImage , vol.11 , pp. 24-35
    • McKeown, M.J.1
  • 31
    • 0033776460 scopus 로고    scopus 로고
    • Whole-brain functional MR imaging activation from a finger-tapping task examined with independent component analysis
    • C.H. Moritz, V.M. Haughton, D. Cordes, M. Quigley, and M.E. Meyerand Whole-brain functional MR imaging activation from a finger-tapping task examined with independent component analysis Am. J. Neuroradiol. 21 2000 1629 1635
    • (2000) Am. J. Neuroradiol. , vol.21 , pp. 1629-1635
    • Moritz, C.H.1    Haughton, V.M.2    Cordes, D.3    Quigley, M.4    Meyerand, M.E.5
  • 32
    • 0037305179 scopus 로고    scopus 로고
    • Power spectrum ranked independent component analysis of a periodic fMRI complex motor paradigm
    • C.H. Moritz, B.P. Rogers, and M.E. Meyerand Power spectrum ranked independent component analysis of a periodic fMRI complex motor paradigm Hum. Brain Mapp. 18 2003 111 122
    • (2003) Hum. Brain Mapp. , vol.18 , pp. 111-122
    • Moritz, C.H.1    Rogers, B.P.2    Meyerand, M.E.3
  • 34
    • 0029096148 scopus 로고
    • Analysis of fMRI time-series revisited-Again
    • K.J. Worsley, and K.J. Friston Analysis of fMRI time-series revisited-Again NeuroImage 2 1995 173 181
    • (1995) NeuroImage , vol.2 , pp. 173-181
    • Worsley, K.J.1    Friston, K.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.