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Bibliography

Aguirre, G., Zarahn, E., and D'Esposito, M. (1997).
Empirical analyses of BOLD fMRI statistics. II. Spatially smoothed data collected under null-hypothesis and experimental conditions.
NeuroImage, 5:199-212.

Bandettini, P. and Cox, W. (2000).
Event-related fMRI contrast when using constant interstimulus interval: Theory and experiment.
Magnetic Resonance in Medicine, 43:540-548.

Bracewell, R. N. (1978).
The Fourier Transform and its Application.
McGraw-Hill Kogakusha, 2nd edition.

Bullmore, E., Brammer, M., Williams, S., Rabe-Hesketh, S., Janot, N., David, A., Mellers, J., Howard, R., and Sham, P. (1996).
Statistical methods of estimation and inference for functional MR image analysis.
Magnetic Resonance in Medicine, 35(2):261-277.

Burock, M. A., Buckner, R. L., Woldorff, M. G., Rosen, B. R., and Dale, A. M. (1998).
Randomized event-related experimental designs allow for extremely rapid presentation rates using functional MRI.
NeuroReport, 9(16):3735-9.

Burock, M. A. and Dale, A. M. (2000).
Estimation and detection of event-related fMRI signals with temporally correlated noise: A statistically efficient and unbiased approach.
Human Brain Mapping, 11:249-260.

Chatfield, C. (1996).
The Analysis of Time Series.
Chapman and Hall.

Dale, A. (1999).
Optimal experimental design for event-related fMRI.
Human Brain Mapping, 8(2-3):109-114.

Dale, A. and Buckner, R. (1997).
Selective averaging of rapidly presented individual trials using fMRI.
Human Brain Mapping, 5:329-340.

Friston, K., Holmes, A., Poline, J.-B., Grasby, P., Williams, S., Frackowiak, R., and Turner, R. (1995).
Analysis of fMRI time series revisited.
NeuroImage, 2:45-53.

Friston, K., Josephs, O., Zarahn, E., Holmes, A., Rouquette, S., and Poline, J.-B. (2000).
To smooth or not to smooth?
NeuroImage, 12:196-208.

Hu, X., Le, T., Parrish, T., and Erhard, P. (1995).
Retrospective estimation and correction of physiological fluctutaion in functional MRI.
Magnetic Resonance in Medicine, 34(2):201-212.

Josephs, O., Turner, R., and Friston, K. (1997).
Event-related fMRI.
Human Brain Mapping, 5:1-7.

Locascio, J., Jennings, P., Moore, C., and Corkin, S. (1997).
Time series analysis in the time domain and resampling methods for studies of functional magnetic resonance brain imaging.
Human Brain Mapping, 5:168-193.

Marchini, J. and Ripley, B. (2000).
A new statistical approach to detecting significant activation in functional MRI.
NeuroImage, 12(4):366-380.

Percival, D. B. and Walden, A. T. (1993).
Spectral Analysis for Physical Applications, Multitaper and Conventional Univariate Techniques.
Cambridge University Press.

Purdon, P. and Weisskoff, R. (1998).
Effect of temporal autocorrelation due to physiological noise and stimulus paradigm on voxel-level false-positive rates in fMRI.
Human Brain Mapping, 6:239-249.

Seber, G. (1977).
Linear Regression Analysis.
Wiley.

Smith, S. and Brady, J. (1997).
SUSAN - a new approach to low level image processing.
International Journal of Computer Vision, 23(1):45-78.

T. Robertson, F. W. and Dykstra, R. (1988).
Order Restricted Statistical Inference.
Wiley.

Woods, R., Mazziotta, J., and Cherry, S. (1993).
MRI-PET registration with automated algorithm.
Journal of Computer Assisted Tomography, 17(4):536-546.

Worsley, K., Evans, A., Marrett, S., and Neelin, P. (1992).
A three-dimensional statistical analysis for CBF activation studies in human brain.
Journal of Cerebral Blood Flow and Metabolism, 12:900-918.

Worsley, K. and Friston, K. (1995).
Analysis of fMRI time series revisited - again.
NeuroImage, 2:173-181.

Zarahn, E., Aguirre, G., and D'Esposito, M. (1997).
Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.
NeuroImage, 5:179-197.



Mark Woolrich 2001-07-16