메뉴 건너뛰기




Volumn 2, Issue 6, 2008, Pages 828-838

On the performance of autocorrelation estimation algorithms for fMRI analysis

Author keywords

Algorithm design and analysis; Autocorrelation; Bias; Brain mapping; Estimation; fMRI; Magnetic resonance imaging; Pre whitening; Regularization

Indexed keywords

ALGORITHMS; AUTOCORRELATION; COMMUNICATION CHANNELS (INFORMATION THEORY); CORRELATION DETECTORS; ESTIMATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MODEL STRUCTURES; PHOTOMASKS; STATISTICAL TESTS; TIME SERIES;

EID: 60549096100     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2008.2007819     Document Type: Article
Times cited : (44)

References (38)
  • 1
    • 0029096148 scopus 로고
    • Analysis of fMRI time-series revisited-again
    • Sep
    • K. J. Worsley and K. J. Friston, "Analysis of fMRI time-series revisited-again," NeuroImage, vol. 2, pp. 173-81, Sep. 1995.
    • (1995) NeuroImage , vol.2 , pp. 173-181
    • Worsley, K.J.1    Friston, K.J.2
  • 2
    • 0029931242 scopus 로고    scopus 로고
    • A unified statistical approach for determining significant signals in images of cerebral activation
    • K.Worsley, S. Marrett, P. Neelin, A. Vandal, K. Friston, and A. Evans, "A unified statistical approach for determining significant signals in images of cerebral activation," Hum. Brain Mapp., vol. 4, pp. 58-73, 1996.
    • (1996) Hum. Brain Mapp , vol.4 , pp. 58-73
    • Worsley, K.1    Marrett, S.2    Neelin, P.3    Vandal, A.4    Friston, K.5    Evans, A.6
  • 4
    • 0035140147 scopus 로고    scopus 로고
    • Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains
    • Feb
    • E. Bullmore, C. Long, J. Suckling, J. Fadili, G. Calvert, F. Zelaya, T. A. Carpenter, and M. Brammer, "Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains," Hum. Brain Mapp., vol. 12, pp. 61-78, Feb. 2001.
    • (2001) Hum. Brain Mapp , vol.12 , pp. 61-78
    • Bullmore, E.1    Long, C.2    Suckling, J.3    Fadili, J.4    Calvert, G.5    Zelaya, F.6    Carpenter, T.A.7    Brammer, M.8
  • 5
    • 0033889353 scopus 로고    scopus 로고
    • To smooth or not to smooth? Bias and efficiency in fMRI time-series analysis
    • Aug
    • K. J. Friston, O. Josephs, E. Zarahn, A. P. Holmes, S. Rouquette, and J. Poline, "To smooth or not to smooth? Bias and efficiency in fMRI time-series analysis," NeuroImage, vol. 12, pp. 196-208, Aug. 2000.
    • (2000) NeuroImage , vol.12 , pp. 196-208
    • Friston, K.J.1    Josephs, O.2    Zarahn, E.3    Holmes, A.P.4    Rouquette, S.5    Poline, J.6
  • 6
    • 29244477177 scopus 로고    scopus 로고
    • Non-white noise in fMRI: Does modelling have an impact?
    • Jan. 1
    • T. E. Lund, K. H. Madsen, K. Sidaros, W. L. Luo, and T. E. Nichols, "Non-white noise in fMRI: Does modelling have an impact?," NeuroImage, vol. 29, pp. 54-66, Jan. 1, 2006.
    • (2006) NeuroImage , vol.29 , pp. 54-66
    • Lund, T.E.1    Madsen, K.H.2    Sidaros, K.3    Luo, W.L.4    Nichols, T.E.5
  • 7
    • 0035212159 scopus 로고    scopus 로고
    • Temporal autocorrelation in univariate linear modeling of FMRI data
    • Dec
    • M. W. Woolrich, B. D. Ripley, M. Brady, and S. M. Smith, "Temporal autocorrelation in univariate linear modeling of FMRI data," NeuroImage, vol. 14, pp. 1370-86, Dec. 2001.
    • (2001) NeuroImage , vol.14 , pp. 1370-1386
    • Woolrich, M.W.1    Ripley, B.D.2    Brady, M.3    Smith, S.M.4
  • 10
    • 0033778064 scopus 로고    scopus 로고
    • A new statistical approach to detecting significant activation in functional MRI
    • Oct
    • J. L. Marchini and B. D. Ripley, "A new statistical approach to detecting significant activation in functional MRI," NeuroImage, vol. 12, pp. 366-80, Oct. 2000.
    • (2000) NeuroImage , vol.12 , pp. 366-380
    • Marchini, J.L.1    Ripley, B.D.2
  • 11
    • 0033653960 scopus 로고    scopus 로고
    • Estimation and detection of event-related fMRI signals with temporally correlated noise:A statistically efficient and unbiased approach
    • Dec
    • M. A. Burock and A. M. Dale, "Estimation and detection of event-related fMRI signals with temporally correlated noise:A statistically efficient and unbiased approach," Hum. Brain Mapp., vol. 11, pp. 249-60, Dec. 2000.
    • (2000) Hum. Brain Mapp , vol.11 , pp. 249-260
    • Burock, M.A.1    Dale, A.M.2
  • 12
    • 0042671302 scopus 로고    scopus 로고
    • Variational Bayesian inference for fMRI time series
    • Jul
    • W. Penny, S. Kiebel, and K. Friston, "Variational Bayesian inference for fMRI time series," NeuroImage, vol. 19, pp. 727-41, Jul. 2003.
    • (2003) NeuroImage , vol.19 , pp. 727-741
    • Penny, W.1    Kiebel, S.2    Friston, K.3
  • 14
    • 0034813965 scopus 로고    scopus 로고
    • Locally regularized spatiotemporal modeling and model comparison for functional MRI
    • Oct
    • P. L. Purdon, V. Solo, R. M. Weisskoff, and E. N. Brown, "Locally regularized spatiotemporal modeling and model comparison for functional MRI," NeuroImage, vol. 14, pp. 912-23, Oct. 2001.
    • (2001) NeuroImage , vol.14 , pp. 912-923
    • Purdon, P.L.1    Solo, V.2    Weisskoff, R.M.3    Brown, E.N.4
  • 15
    • 0030843419 scopus 로고    scopus 로고
    • Time series analysis in the time domain and resampling methods for studies of functional magnetic resonance brain imaging
    • J. J. Locascio, P. J. Jennings, C. I. Moore, and S. Corkin, "Time series analysis in the time domain and resampling methods for studies of functional magnetic resonance brain imaging," Hum. Brain Mapp., vol. 5, pp. 168-193, 1997.
    • (1997) Hum. Brain Mapp , vol.5 , pp. 168-193
    • Locascio, J.J.1    Jennings, P.J.2    Moore, C.I.3    Corkin, S.4
  • 16
    • 7444272556 scopus 로고    scopus 로고
    • Optimal spatial regularization of autocorrelation estimates in fMRI analysis
    • T. Gautama and M. M. Van Hulle, "Optimal spatial regularization of autocorrelation estimates in fMRI analysis," NeuroImage, vol. 23, pp. 1203-1216, 2004.
    • (2004) NeuroImage , vol.23 , pp. 1203-1216
    • Gautama, T.1    Van Hulle, M.M.2
  • 17
    • 0031880021 scopus 로고    scopus 로고
    • Effect of temporal autocorrelation due to physiological noise and stimulus paradigm on voxel-level false-positive rates in fMRI
    • P. L. Purdon and R. M. Weisskoff, "Effect of temporal autocorrelation due to physiological noise and stimulus paradigm on voxel-level false-positive rates in fMRI," Hum. Brain Mapp., vol. 6, pp. 239-249, 1998.
    • (1998) Hum. Brain Mapp , vol.6 , pp. 239-249
    • Purdon, P.L.1    Weisskoff, R.M.2
  • 18
    • 0030733807 scopus 로고    scopus 로고
    • Empirical analyses of BOLD FMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions
    • E. Zarahn, G. K. Aguirre, and M. D'Esposito, "Empirical analyses of BOLD FMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions," NeuroImage, vol. 5, no. 3, pp. 179-197, 1997.
    • (1997) NeuroImage , vol.5 , Issue.3 , pp. 179-197
    • Zarahn, E.1    Aguirre, G.K.2    D'Esposito, M.3
  • 19
    • 33645224023 scopus 로고    scopus 로고
    • Unmixing fMRI with independent component analysis
    • Mar.-Apr
    • V. D. Calhoun and T. Adali, "Unmixing fMRI with independent component analysis," IEEE Eng. Med. Biol. Mag., vol. 25, no. 2, pp. 79-90, Mar.-Apr. 2006.
    • (2006) IEEE Eng. Med. Biol. Mag , vol.25 , Issue.2 , pp. 79-90
    • Calhoun, V.D.1    Adali, T.2
  • 20
    • 0030733807 scopus 로고    scopus 로고
    • Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions
    • Apr
    • E. Zarahn, G. K. Aguirre, and M. D'Esposito, "Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions," NeuroImage, vol. 5, pp. 179-97, Apr. 1997.
    • (1997) NeuroImage , vol.5 , pp. 179-197
    • Zarahn, E.1    Aguirre, G.K.2    D'Esposito, M.3
  • 21
    • 0037230128 scopus 로고    scopus 로고
    • On bias in the estimation of autocorrelations for fMRI voxel time-series analysis
    • Jan
    • J. L. Marchini and S. M. Smith, "On bias in the estimation of autocorrelations for fMRI voxel time-series analysis," NeuroImage vol. 18, pp. 83-90, Jan. 2003.
    • (2003) NeuroImage , vol.18 , pp. 83-90
    • Marchini, J.L.1    Smith, S.M.2
  • 22
    • 0043172298 scopus 로고    scopus 로고
    • Diagnosis and exploration of massively univariate neuroimaging models
    • Jul
    • W. L. Luo and T. E. Nichols, "Diagnosis and exploration of massively univariate neuroimaging models," NeuroImage, vol. 19, pp. 1014-32, Jul. 2003.
    • (2003) NeuroImage , vol.19 , pp. 1014-1032
    • Luo, W.L.1    Nichols, T.E.2
  • 24
    • 0033778839 scopus 로고    scopus 로고
    • Nonlinear responses in fMRI: The Balloon model,Volterra kernels, and other hemodynamics
    • Oct
    • K. J. Friston, A. Mechelli, R. Turner, and C. J. Price, "Nonlinear responses in fMRI: The Balloon model,Volterra kernels, and other hemodynamics," NeuroImage, vol. 12, pp. 466-477, Oct. 2000.
    • (2000) NeuroImage , vol.12 , pp. 466-477
    • Friston, K.J.1    Mechelli, A.2    Turner, R.3    Price, C.J.4
  • 25
    • 1842504499 scopus 로고    scopus 로고
    • Constrained linear basis sets for HRF modeling using Variational Bayes
    • M. W. Woolrich, T. E. J. Behrens, and S. M. Smith, "Constrained linear basis sets for HRF modeling using Variational Bayes," NeuroImage, vol. 21, no. 4, pp. 1748-61, 2004.
    • (2004) NeuroImage , vol.21 , Issue.4 , pp. 1748-1761
    • Woolrich, M.W.1    Behrens, T.E.J.2    Smith, S.M.3
  • 26
    • 13944270298 scopus 로고    scopus 로고
    • A comparison of Gamma and Gaussian dynamic convolution models of the fMRI BOLD response
    • H. Chen, D. Yao, and Z. Liu, "A comparison of Gamma and Gaussian dynamic convolution models of the fMRI BOLD response," Magn. Reson. Imag., vol. 1, pp. 83-88, 2005.
    • (2005) Magn. Reson. Imag , vol.1 , pp. 83-88
    • Chen, H.1    Yao, D.2    Liu, Z.3
  • 27
    • 0036334985 scopus 로고    scopus 로고
    • Comparison of detrending methods for optimal fMRI preprocessing
    • J. Tanabe, D. Miller, J. Tregellas, R. Freedman, and F. G. Meyer, "Comparison of detrending methods for optimal fMRI preprocessing," NeuroImage, vol. 15, no. 4, pp. 902-907, 2002.
    • (2002) NeuroImage , vol.15 , Issue.4 , pp. 902-907
    • Tanabe, J.1    Miller, D.2    Tregellas, J.3    Freedman, R.4    Meyer, F.G.5
  • 28
    • 0036331381 scopus 로고    scopus 로고
    • Exploratory fMRI analysis by autocorrelation maximization
    • O. Friman, M. Borga, P. Lundberg, and H. Knutsson, "Exploratory fMRI analysis by autocorrelation maximization," NeuroImage, vol. 16, no. 2, pp. 454-464, 2002.
    • (2002) NeuroImage , vol.16 , Issue.2 , pp. 454-464
    • Friman, O.1    Borga, M.2    Lundberg, P.3    Knutsson, H.4
  • 29
    • 0003283282 scopus 로고    scopus 로고
    • Statistical modeling of low-frequency confounds in fMRI
    • A. P. Holmes, O. Josephs, C. Büchel, and K. J. Friston, "Statistical modeling of low-frequency confounds in fMRI," NeuroImage, vol. 5, p. 480, 1997.
    • (1997) NeuroImage , vol.5 , pp. 480
    • Holmes, A.P.1    Josephs, O.2    Büchel, C.3    Friston, K.J.4
  • 31
    • 33645237705 scopus 로고    scopus 로고
    • Modeling and Inference of Multisubject fMRI Data
    • March-April
    • J. A. Mumford and T. E. Nichols, "Modeling and Inference of Multisubject fMRI Data," IEEE Eng. Med. Biol. Mag., vol. 25, no. 2, pp. 42-51, March-April 2006.
    • (2006) IEEE Eng. Med. Biol. Mag , vol.25 , Issue.2 , pp. 42-51
    • Mumford, J.A.1    Nichols, T.E.2
  • 32
    • 0030175198 scopus 로고    scopus 로고
    • AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
    • Jun
    • R. W. Cox, "AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages," Comput. Biomed. Res., vol. 29, pp. 162-73, Jun. 1996.
    • (1996) Comput. Biomed. Res , vol.29 , pp. 162-173
    • Cox, R.W.1
  • 34
    • 85041975654 scopus 로고
    • Bayesian inference for variance components using only error contrasts
    • D. A. Harville, "Bayesian inference for variance components using only error contrasts," Biometrika, vol. 61, pp. 383-385, 1974.
    • (1974) Biometrika , vol.61 , pp. 383-385
    • Harville, D.A.1
  • 35
    • 33645189906 scopus 로고    scopus 로고
    • Restricted Maximum Likelihood (ReML)
    • New York: Wiley-Interscience
    • T. P. Speed, "Restricted Maximum Likelihood (ReML)," in Encyclopedia of Statistical Science. New York: Wiley-Interscience, 1997, pp. 472-481.
    • (1997) Encyclopedia of Statistical Science , pp. 472-481
    • Speed, T.P.1
  • 36
    • 19344364723 scopus 로고    scopus 로고
    • Spatial Smoothing of autocorrelations to control the degrees of freedom in fMRI analysis
    • K. J. Worsley, "Spatial Smoothing of autocorrelations to control the degrees of freedom in fMRI analysis," NeuroImage, vol. 26, pp. 635-641, 2005.
    • (2005) NeuroImage , vol.26 , pp. 635-641
    • Worsley, K.J.1
  • 37
    • 78650014134 scopus 로고
    • Testing for serial correlation in least squares regression. I
    • Dec
    • J. Durbin and G. S. Watson, "Testing for serial correlation in least squares regression. I," Biometrika, vol. 37, pp. 409-28, Dec. 1950.
    • (1950) Biometrika , vol.37 , pp. 409-428
    • Durbin, J.1    Watson, G.S.2
  • 38
    • 30244459245 scopus 로고
    • Testing for serial correlation in least squares regression. II
    • Jun
    • J. Durbin and G. S. Watson, "Testing for serial correlation in least squares regression. II," Biometrika, vol. 38, pp. 159-78, Jun. 1951.
    • (1951) Biometrika , vol.38 , pp. 159-178
    • Durbin, J.1    Watson, G.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.