The general linear model and fMRI: Does love last forever?

NeuroImage

Volumn 62, Issue 2, 2012, Pages 871-880

  Poline, Jean Baptiste ^a,b   Brett, Matthew ^b  

^a DIF   (France)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Functional MRI; General linear model

Indexed keywords

ANALYSIS OF VARIANCE; ARTIFACT REDUCTION; BAYES THEOREM; CONCEPTUAL FRAMEWORK; ECHO PLANAR IMAGING; ELECTROENCEPHALOGRAPHY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; GENERAL LINEAR MODEL; IMAGE PROCESSING; LINEAR REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PSYCHOPHYSIOLOGY; REVIEW; STATISTICAL MODEL; VOXEL BASED MORPHOMETRY;

BRAIN; BRAIN MAPPING; HISTORY, 20TH CENTURY; HISTORY, 21ST CENTURY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING;

EID: 84863008844     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.01.133     Document Type: Review

References (35)

1. Aitken A. On least squares and linear combinations of observations. Proc. R. Soc. Edinb. 1935, 55:42-48.
2. Beckmann C.F., Jenkinson M., Smith S.M. General multilevel linear modeling for group analysis in FMRI. NeuroImage 2003, 20(2):1052-1063. (Oct.).
3. Bullmore E., Brammer M., Williams S.C., Rabe-Hesketh S., Janot N., David A., Mellers J., Howard R., Sham P. Statistical methods of estimation and inference for functional MR image analysis. Magn. Reson. Med. 1996, 35(2):261-277. (Feb.).
4. Chambers J., Hastie T., et al. Statistical models in S 1992, Chapman & Hall London.
5. Ciuciu P., Poline J.-B., Marrelec G., Idier J., Pallier C., Benali H. Unsupervised robust nonparametric estimation of the hemodynamic response function for any fMRI experiment. IEEE Trans. Med. Imaging 2003, 22(10):1235-1251. (Oct.).
6. Christensen R. Plane answers to complex questions: the theory of linear models 2002, Springer.
7. Dale A.M. Optimal experimental design for event-related fMRI. Hum. Brain Mapp. 1999, 8(2-3):109-114. (Jan.).
8. Friston K., Holmes A., Worsley K., Poline J.-B., Frith C., Frackowiak R. Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 1995, 2:189-210.
9. Friston K.J., Buechel C., Fink G.R., Morris J., Rolls E., Dolan R.J. Psychophysiological and modulatory interactions in neuroimaging. NeuroImage 1997, 6(3):218-229. (Oct.).
10. Friston K.J., Penny W., Phillips C., Kiebel S., Hinton G., Ashburner J. Classical and Bayesian inference in neuroimaging: theory. NeuroImage 2002, 16(2):465-483. (Jun.).
11. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 1999, 9(4):416-429. (Apr.).
12. Goldman R.I., Stern J.M., Engel J., Cohen M.S. Acquiring simultaneous EEG and functional MRI. Clin. Neurophysiol. 2000, 111(11):1974-1980. (Nov.).
13. Hays W. Statistics 1981, CBS college publishing. 3rd Edition.
14. Henson R.N.A., Price C.J., Rugg M.D., Turner R., Friston K.J. Detecting latency differences in event-related BOLD responses: application to words versus nonwords and initial versus repeated face presentations. NeuroImage 2002, 15(1):83-97. (Jan.).
15. Holmes A.P., Friston K.J. Generalisability, random effects and population inference. NeuroImage 1998, Vol. 7:S754.
16. Holmes A.P., Blair R.C., Watson J.D., Ford I. Nonparametric analysis of statistic images from functional mapping experiments. J. Cereb. Blood Flow Metab. 1996, 16(1):7-22. (Jan.).
17. Kherif F., Poline J.-B., Flandin G., Benali H., Simon O., Dehaene S., Worsley K.J. Multivariate model specification for fMRI data. NeuroImage 2002, 16(4):1068-1083. (Aug.).
18. Laufs H., Kleinschmidt A., Beyerle A., Eger E., Salek-Haddadi A., Preibisch C., Krakow K. EEG-correlated fMRI of human alpha activity. NeuroImage 2003, 19(4):1463-1476. (Aug.).
19. Legendre A.M. Nouvelles Méthodes pour la Détermination des Orbites des Comètes. Int. Rev. Neurobiol. 1805, 72-75.
20. Lehmann E.L. On the history and use of some standard. Inst. Math. Stat. Collect. 2008, 2:114-126.
21. Liao C.H., Worsley K.J., Poline J.-B., Aston J.A.D., Duncan G.H., Evans A.C. Estimating the delay of the fMRI response. NeuroImage 2002, 16(3 Pt 1):593-606. (Jul.).
22. Monti M.M. Statistical analysis of fMRI time-series: a critical review of the GLM approach. Front. Hum. Neurosci. 2011, 5:28. (Jan.).
23. Pearson K., Yule G.U., Blanchard N., Lee A. On the Law of Ancestral Heredity. Biometrika. 1903, 2:211-236. (Mar.).
24. Poldrack R.A., Mumford J.A., Nichols T.E. Handbook of Functional MRI Data Analysis 2011, Cambridge University Press.
25. Poline J.-B., Kherif F., Pallier C., Penny W. Contrasts and classical inference. Elsevier: Amsterdam. Statistical parametric mapping: the analysis of functional brain images 2007, 126-139. Elsevier, Amsterdam. K. Friston, J. Ashburner, S. Kiebel, T. Nichols, W. Penny (Eds.).
26. Scheffé H. The Analysis of Variance 1959, John Wiley & Sons, New York. first edit Edition.
27. Seal H. Studies in the history of probability and statistics. XV the historical development of the gauss linear model. Biometrika 1967, 54(1-2):1-24.
28. Vincent J.L., Larson-Prior L.J., Zempel J.M., Snyder A.Z. Moving GLM ballistocardiogram artifact reduction for EEG acquired simultaneously with fMRI. Clin. Neurophysiol. 2007, 118(5):981-998. (May).
29. Wonnacott T., Wonnacott R. Introductory statistics 1972, John Wiley & Sons. 2nd Edition.
30. Woods R.P. Modeling for intergroup comparisons of imaging data. NeuroImage 1996, 4(3 Pt 3):S84-S94. (Dec.).
31. Woolrich M.W., Ripley B.D., Brady M., Smith S.M. Temporal autocorrelation in univariate linear modeling of FMRI data. NeuroImage 2001, 14(6):1370-1386. (Dec.).
32. Woolrich M.W., Behrens T.E.J., Beckmann C.F., Jenkinson M., Smith S.M. Multilevel linear modelling for FMRI group analysis using Bayesian inference. NeuroImage 2004, 21(4):1732-1747. (Apr.).
33. Worsley K.J., Friston K.J. Analysis of fMRI time-series revisited-again. NeuroImage 1995, 2(3):173-181. (Sep.).
34. Worsley K.J., Poline J.B., Friston K.J., Evans A.C. Characterizing the response of PET and fMRI data using multivariate linear models. NeuroImage 1997, 6(4):305-319. (Nov.).
35. Zhang H., Luo W.-L., Nichols T.E. Diagnosis of single-subject and group fMRI data with SPMd. Hum. Brain Mapp. 2006, 27(5):442-451. (May).