메뉴 건너뛰기




Volumn 40, Issue 2, 2008, Pages 698-711

Modeling dose-dependent neural processing responses using mixed effects spline models: With application to a PET study of ethanol

Author keywords

Continuous covariates; Dose dependent effect; Mixed effects spline models; Regression splines; Smoothing splines

Indexed keywords

ALCOHOL;

EID: 40649127172     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2007.09.074     Document Type: Article
Times cited : (1)

References (37)
  • 1
    • 40649124375 scopus 로고    scopus 로고
    • Abrahamowicz, M., Ciampi, A. and Ramsay, J.O. (1992). Nonparametric density estimation for censored survival data: regression-spline approach.
    • Abrahamowicz, M., Ciampi, A. and Ramsay, J.O. (1992). Nonparametric density estimation for censored survival data: regression-spline approach.
  • 2
    • 0011038763 scopus 로고
    • Basis selection for density estimation and regression
    • Atilgan T. Basis selection for density estimation and regression. ATT Bell Lab. Tech. Memo. (1988)
    • (1988) ATT Bell Lab. Tech. Memo.
    • Atilgan, T.1
  • 3
    • 84972513424 scopus 로고
    • Monotone regression splines in action: comment
    • Breiman L. Monotone regression splines in action: comment. Stat. Sci. 3 4 (1988) 442-445
    • (1988) Stat. Sci. , vol.3 , Issue.4 , pp. 442-445
    • Breiman, L.1
  • 4
    • 4344583045 scopus 로고    scopus 로고
    • Methods for detecting functional classifications in neuroimaging data
    • Bowman F.D., Patel R., and Lu C. Methods for detecting functional classifications in neuroimaging data. Hum. Brain Mapp. 23 (2004) 109-119
    • (2004) Hum. Brain Mapp. , vol.23 , pp. 109-119
    • Bowman, F.D.1    Patel, R.2    Lu, C.3
  • 6
    • 0344157389 scopus 로고    scopus 로고
    • Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments
    • Buchel C., Holmes A.P., and Rees G. Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments. NeuroImage 8 2 (1998) 140-148
    • (1998) NeuroImage , vol.8 , Issue.2 , pp. 140-148
    • Buchel, C.1    Holmes, A.P.2    Rees, G.3
  • 8
    • 0037396577 scopus 로고    scopus 로고
    • Optimal spline smoothing of fMRI time series by generalized cross-validation
    • Carew J.D., Wahba G., Xie X., Nordheim E.V., and Meyerand M.E. Optimal spline smoothing of fMRI time series by generalized cross-validation. NeuroImage 18 (2003) 950-961
    • (2003) NeuroImage , vol.18 , pp. 950-961
    • Carew, J.D.1    Wahba, G.2    Xie, X.3    Nordheim, E.V.4    Meyerand, M.E.5
  • 9
    • 0036741278 scopus 로고    scopus 로고
    • Orthogonal polynomial regression for the detection of response variability in event-related fMRI
    • Clark V.P. Orthogonal polynomial regression for the detection of response variability in event-related fMRI. NeuroImage 17 (2002) 344-363
    • (2002) NeuroImage , vol.17 , pp. 344-363
    • Clark, V.P.1
  • 12
    • 0001499105 scopus 로고
    • Penalized likelihood for general semi-parametric regression models
    • Green P.J. Penalized likelihood for general semi-parametric regression models. Int. Stat. Rev. 55 (1987) 245-260
    • (1987) Int. Stat. Rev. , vol.55 , pp. 245-260
    • Green, P.J.1
  • 14
    • 0037311577 scopus 로고    scopus 로고
    • Characterization of effects of mean arterial blood pressure induced by cocaine and cocaine methiodide on BOLD signals in rat brain
    • Luo F., Wu G., Li Z., and Li S. Characterization of effects of mean arterial blood pressure induced by cocaine and cocaine methiodide on BOLD signals in rat brain. Magn. Reson. Med. 49 (2003) 264-270
    • (2003) Magn. Reson. Med. , vol.49 , pp. 264-270
    • Luo, F.1    Wu, G.2    Li, Z.3    Li, S.4
  • 15
    • 0001355852 scopus 로고
    • The performance of cross-validation and maximum likelihood estimators of spline smoothing parameters
    • Kohn R., Ansley C.F., and Tharm D. The performance of cross-validation and maximum likelihood estimators of spline smoothing parameters. J. Am. Stat. Assoc. 86 (1991) 1042-1050
    • (1991) J. Am. Stat. Assoc. , vol.86 , pp. 1042-1050
    • Kohn, R.1    Ansley, C.F.2    Tharm, D.3
  • 16
    • 1942424922 scopus 로고    scopus 로고
    • A method for removal of global effects from fMRI time series
    • Macey P.M., Macey K.E., Kumar R., and Harper R.M. A method for removal of global effects from fMRI time series. NeuroImage 22 (2004) 360-366
    • (2004) NeuroImage , vol.22 , pp. 360-366
    • Macey, P.M.1    Macey, K.E.2    Kumar, R.3    Harper, R.M.4
  • 17
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • Le Cam L.M., and Neyman J. (Eds), University of California Press, Berkeley CA
    • MacQueen J. Some methods for classification and analysis of multivariate observations. In: Le Cam L.M., and Neyman J. (Eds). Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability (1967), University of California Press, Berkeley CA 281-297
    • (1967) Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability , pp. 281-297
    • MacQueen, J.1
  • 18
    • 4544224992 scopus 로고    scopus 로고
    • Smoothing with mixed model software
    • Ngo L., and Wand M.P. Smoothing with mixed model software. J. Stat. Softw. 9 (2004)
    • (2004) J. Stat. Softw. , vol.9
    • Ngo, L.1    Wand, M.P.2
  • 19
    • 0001781878 scopus 로고
    • Automatic smoothing of regression functions in generalized linear models
    • O'Sullivan F., Yandell B.S., and Baynor W.J. Automatic smoothing of regression functions in generalized linear models. J. Am. Stat. Assoc. 81 (1986) 96-103
    • (1986) J. Am. Stat. Assoc. , vol.81 , pp. 96-103
    • O'Sullivan, F.1    Yandell, B.S.2    Baynor, W.J.3
  • 20
    • 40649085444 scopus 로고    scopus 로고
    • 28th SAS User Group International Proceedings: Seattle
    • Pedan A. Smoothing with SAS Proc Mixed. 28th SAS User Group International Proceedings: Seattle (2003)
    • (2003) Smoothing with SAS Proc Mixed
    • Pedan, A.1
  • 21
    • 84972507631 scopus 로고
    • Monotone regression splines in action
    • Ramsay J.O. Monotone regression splines in action. Stat. Sci. 3 4 (1988) 425-441
    • (1988) Stat. Sci. , vol.3 , Issue.4 , pp. 425-441
    • Ramsay, J.O.1
  • 22
    • 0001597980 scopus 로고
    • Estimating the mean and covariance structure non-parametrically when the data are curves
    • Rice J.A., and Silverman B.W. Estimating the mean and covariance structure non-parametrically when the data are curves. J. R. Stat. Soc. Ser., B 53 (1991) 233-243
    • (1991) J. R. Stat. Soc. Ser., B , vol.53 , pp. 233-243
    • Rice, J.A.1    Silverman, B.W.2
  • 23
    • 0036921633 scopus 로고    scopus 로고
    • Selecting the number of knots for penalized splines
    • Ruppert D. Selecting the number of knots for penalized splines. J. Comput. Graph. Stat. 11 4 (2002) 735-757
    • (2002) J. Comput. Graph. Stat. , vol.11 , Issue.4 , pp. 735-757
    • Ruppert, D.1
  • 25
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G. Estimating the dimension of a model. Ann. Stat. 6 2 (1978) 461-464
    • (1978) Ann. Stat. , vol.6 , Issue.2 , pp. 461-464
    • Schwarz, G.1
  • 26
    • 0002710991 scopus 로고
    • Towards a unified theory of inequality constrained testing in multivariate analysis
    • Shapiro A. Towards a unified theory of inequality constrained testing in multivariate analysis. Int. Stat. Rev. 56 (1988) 49-62
    • (1988) Int. Stat. Rev. , vol.56 , pp. 49-62
    • Shapiro, A.1
  • 29
    • 0036334985 scopus 로고    scopus 로고
    • Comparison of detrending methods for optimal fMRI preprocessing
    • Tanabe J., Miller D., Tregellas J., Freedman R., and Meyer F.G. Comparison of detrending methods for optimal fMRI preprocessing. NeuroImage 15 (2002) 902-907
    • (2002) NeuroImage , vol.15 , pp. 902-907
    • Tanabe, J.1    Miller, D.2    Tregellas, J.3    Freedman, R.4    Meyer, F.G.5
  • 30
    • 0031822126 scopus 로고    scopus 로고
    • Regional changes in glucose metabolism during brain development from the age of 6 years
    • Van Bogaert P., Wikler D., Damhaut P., Szliwowski H.B., and Goldman S. Regional changes in glucose metabolism during brain development from the age of 6 years. NeuroImage 8 1 (1998) 62-68
    • (1998) NeuroImage , vol.8 , Issue.1 , pp. 62-68
    • Van Bogaert, P.1    Wikler, D.2    Damhaut, P.3    Szliwowski, H.B.4    Goldman, S.5
  • 32
    • 0000608177 scopus 로고
    • A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
    • Wahba G. A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem. Ann. Stat. 13 (1985) 1378-1402
    • (1985) Ann. Stat. , vol.13 , pp. 1378-1402
    • Wahba, G.1
  • 33
    • 84972513487 scopus 로고
    • Monotone regression splines in action: comment
    • Wahba G. Monotone regression splines in action: comment. Stat. Sci. 3 (1988) 456-458
    • (1988) Stat. Sci. , vol.3 , pp. 456-458
    • Wahba, G.1
  • 37
    • 0032390647 scopus 로고    scopus 로고
    • Semiparametric stochastic mixed models for longitudinal data
    • Zhang D., Lin X., Raz J., and Sowers M. Semiparametric stochastic mixed models for longitudinal data. J. Am. Stat. Assoc. 93 (1998) 710-719
    • (1998) J. Am. Stat. Assoc. , vol.93 , pp. 710-719
    • Zhang, D.1    Lin, X.2    Raz, J.3    Sowers, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.