Detecting activation in fMRI data

Statistical Methods in Medical Research

Volumn 12, Issue 5, 2003, Pages 401-418

  Worsley, K J ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL PARAMETERS; ANISOTROPY; BRAIN DEPTH STIMULATION; BRAIN FUNCTION; BRAIN MAPPING; BRAIN REGION; CORRELATION ANALYSIS; DATA ANALYSIS; ELECTROENCEPHALOGRAPHY; GEOMETRY; HUMAN; IMAGE ANALYSIS; MATHEMATICAL COMPUTING; NOISE REDUCTION; NUCLEAR MAGNETIC RESONANCE IMAGING; REVIEW; STATISTICAL MODEL; STATISTICS;

BRAIN; BRAIN MAPPING; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, VISUAL; STOCHASTIC PROCESSES; TIME FACTORS;

EID: 0242468641     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1191/0962280203sm340ra     Document Type: Review

References (25)

1. Worsley KJ, Liao C, Aston JAD et al. A general statistical analysis for fMRI data. NeuroImage 2002; 15: 1-15.
2. Lange N, Zeger SL. Non-linear Fourier time series analysis for human brain mapping by functional magnetic resonance imaging (with Discussion). Journal of the Royal Statistical Society, Series C (Applied Statistics) 1997; 14: 1-29.
3. Purdon PL, Solo V, Weisskoff RM, Brown E. Locally regularized spatiotemporal modeling and model comparison for functional MRI. NeuroImage 2001; 14: 912-23.
4. Liao C, Worsley KJ, Poline J-B, Duncan GH, Evans AC. Estimating the delay of the response in fMRI data. NeuroImage 2002; 16: 593-606.
5. Genovese CR. A Bayesian time-course model for functional magnetic resonance imaging data (with Discussion). Journal of the American Statistical Association 2000; 95: 691-719.
6. Friston KJ, Mechelli A, Turner R, Price CJ. Nonlinear responses in fMRI: The Balloon model, Volterra kernels and other hemodynamics. NeuroImage 2000; 12: 466-77.
7. Worsley KJ. Comment on 'A Bayesian time-course model for functional magnetic resonance imaging data' by C. Genovese. Journal of the American Statistical Association 2000; 95: 691-719.
8. Siegmund DO, Worsley KJ. Testing for a signal with unknown location and scale in a stationary Gaussian random field. Annals of Statistics 1995; 23: 608-39.
9. Poline J-B, Mazoyer BM. Enhanced detection in brain activation maps using a multifiltering approach. Journal of Cerebral Blood Flow and Metabolism 1994; 14: 639-42.
10. 2 random field, with an application to fMRI. Advances in Applied Probability 2001; 33: 773-93.
11. Genovese CR, Lazar NA, Nichols TE. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage 2002; 15: 772-86.
12. Adler RJ. The Geometry of Random Fields. New York: Wiley, 1981.
13. Worsley KJ. Boundary corrections for the expected Euler characteristic of excursion sets of random fields, with an application to astrophysics. Advances in Applied Probability 1995; 27: 943-59.
14. 2, F and t fields. Advances in Applied Probability 1994; 26: 13-42.
15. Takemura A, Kuriki S. On the equivalence of the tube and Euler characteristic method for the distribution of the maximum of Gaussian fields over piecewise smooth domains. Annals of Applied Probability 2002; 12: 768-96.
16. Adler RJ. On excursion sets, tube formulae, and maxima of random fields. Annals of Applied Probability 2000; 10: 1-74.
17. Sampson PD, Guttorp P. Nonparametric estimation of nonstationary spatial covariance structure. Journal of the American Statistical Association 1992; 87: 108-19.
18. Worsley KJ, Andermann M, Koulis T, MacDonald D, Evans AC. Detecting changes in nonisotropic images. Human Brain Mapping 1999; 8: 98-101.
19. Taylor JE, Adler RJ. Euler characteristics for Gaussian fields on manifolds. Annals of Probability 2003; 31: 533-63.
20. 2 fields. Annals of Statistics 1999; 27: 925-42.
21. Ramsay JO, Silverman B. Functional Data Analysis. New York: Springer, 2002.
22. Chen J-I, Ha B, Bushnell MC, Pike B, Duncan GH. Differentiating noxious- and innocuous-related activation of human somatosensory cortices using temporal analysis of fMRI. Journal of Neurophysiology 2002; 88: 464-74.
23. Andrade A, Kherif F, Mangin J-F et al. Detection of fMRI activation using cortical surface mapping. Human Brain Mapping 2001; 12: 79-93.
24. Cao J, Worsley KJ. The geometry of correlation fields, with an application to functional connectivity of the brain. Annals of Applied Probability 1999; 9: 1021-57.
25. Dale AM, Liu AK, Fischl BR, Buckner RI, Belliveau JW, Halgren E. Dynamic statistical parametric mapping: Combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron 2000; 26: 55-67.