Statistical methods for detecting activated regions in functional MRI of the brain

Magnetic Resonance Imaging

Volumn 16, Issue 10, 1998, Pages 1217-1225

  Ardekani, Babak A ^a   Kanno, Iwao ^a  

^a RESEARCH INSTITUTE FOR BRAIN AND BLOOD VESSELS AKITA   (Japan)

Author keywords

Brain; Detection theory; Functional MRI; Statistical analysis

Indexed keywords

ARTICLE; BRAIN; BRAIN REGION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; THEORY; WHITE NOISE;

ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; FOURIER ANALYSIS; HUMANS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; NORMAL DISTRIBUTION; TIME FACTORS;

EID: 0032417383     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0730-725X(98)00125-8     Document Type: Article

References (15)

1. Stehling M.K., Turner R., Mansfield P. Echo-planar imaging: Magnetic resonance imaging in a fraction of a second. Science. 254:1991;43-50.
2. Ogawa S., Lee T.M., Kay A.R., Tank D.W. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc. Natl. Acad. Sci. USA. 87:1990;9868-9872.
3. Bandettini P.A., Jesmanowicz A., Wong E.C., Hyde J.S. Processing strategies for time-course data sets in functional MRI of the human brain. Magn. Reson. Med. 30:1993;161-173.
4. Friston K.J., Jezzard P., Turner R. Analysis of functional MRI time-series. Human Brain Mapping. 1:1994;153-171.
5. Lange N., Zeger S.L. Non-linear Fourier time series analysis for human brain mapping by functional magnetic resonance imaging. Appl. Statist. 46:1997;1-29.
6. Cohen M.S. Parametric analysis of fMRI data using linear systems methods. Neuroimage. 6:1997;93-103.
7. Bullmore E., Brammer M., Williams S.C.R., 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. 35:1996;261-277.
8. Friston K.J., Holmes A.P., Worsley K.J., Poline J.-P., Frith C.D., Frackowiak R.S.J. Statistical parametric maps in functional imaging A general linear approach . Human Brain Mapping. 2:1995;189-210.
9. Scharf L.L. Statistical Signal Processing Detection, Estimation, and Time Series Analysis . 1990;Addison Wesley, Reading, Massachusetts.
10. Büchel C., Wise R.J.S., Mummery C.J., Poline J.-B., Friston K.J. Nonlinear regression in parametric activation studies. Neuroimage. 4:1996;60-66.
11. Golub G.H., Van Loan C.F. Matrix Computations. 1996;The Johns Hopkins University Press, Baltimore, Maryland.
12. Friston K.J., Frith C.D., Frackowiak R.S.J., Turner R. Characterizing dynamic brain responses with fMRI: A multivariate approach. Neuroimage. 2:1995;166-172.
13. Akaike H. A new look at the statistical model identification. IEEE Trans Automat. Contr. 19:1974;716-723.
14. Miller I., Freund J.E. Probability and Statistics for Engineers. 1977;Prentice-Hall, Englewood Cliffs, NJ.
15. 2, F and t Fields. Adv. Appl. Probl. 26:1994;13-42.