Analyzing fMRI experiments with structural adaptive smoothing procedures

NeuroImage

Volumn 33, Issue 1, 2006, Pages 55-62

  Tabelow, Karsten ^a   Polzehl, Jörg ^a   Voss, Henning U ^b   Spokoiny, Vladimir ^a,c  

^a WEIERSTRASS INSTITUTE FOR APPLIED ANALYSIS AND STOCHASTICS   (Germany)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

^c HUMBOLDT UNIVERSITY   (Germany)

Author keywords

Functional MRI; Signal detection; Spatially adaptive smoothing

Indexed keywords

ARTICLE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; NEUROIMAGING; NOISE REDUCTION; NORMAL DISTRIBUTION; PRIORITY JOURNAL; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS;

ALGORITHMS; BRAIN MAPPING; FINGERS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MOVEMENT; OXYGEN; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 33748706543     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2006.06.029     Document Type: Article

References (31)

1. Adler R. The Geometry of Random Fields (1981), Wiley, New York
2. Adler R. On excursion sets, tube formulae, and maxima of random fields. (special invited paper). Ann. Appl. Probab. 10 (2000) 1-74
3. Andrade A., Kherif F., Mangin J., Worsley K., Paradis A., Simon O., Dehaene S., Le Bihan D., and Poline J.-B. Detection of fMRI activation using cortical surface mapping. Hum. Brain Mapp. 12 (2001) 79-93
4. Biomedical Imaging Resource. Analyze Program (2001), Mayo Foundation
5. Cox R. Software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 29 (1996) 162
6. Dancause N., Barbay S., Frost S., Plautz E., Chen D., Zoubina E., Stowe A., and Nudo R. Extensive cortical rewiring after brain injury. J. Neurosci. 25 44 (2005) 10167-10179
7. Friston K., Worsley K., Frackowiak R., Mazziotta J., and Evans A. Assessing the significance of focal activations using their spatial extent. Hum. Brain Mapp. 1 (1994) 214-220
8. Friston K., Holmes A., Worsley K., Poline J.-B., Frith C., and Frackowiak R. Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 2 (1995) 189-210
9. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 9 (1999) 416-429
10. Kiebel S., and Friston K. Anatomically informed basis functions in multisubject studies. Hum. Brain Mapp. 16 (2002) 36-46
11. Kiebel S.J., Poline J.B., Friston K.J., Holmes A., and Worsley K.J. Robust smoothness estimation in statistical parametric maps using standardized residuals from the general linear model. NeuroImage 10 (1999) 756-766
12. Ogawa S., Lee T., Kay A., and Tank D. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc. Natl. Acad. Sci. U. S. A. 87 (1990) 9868-9872
13. Ogawa S., Tank D., Menon R., Ellermann J., Kim S., Merkle H., and Ugurbil K. Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. Proc. Natl. Acad. Sci. U. S. A. 89 (1992) 5951-5955
14. Pascual-Leone A., Amedi A., Fregni F., and Merabet L. The plastic human brain cortex. Annu. Rev. Neurosci. 28 (2005) 377-401
15. Poline J., and Mazoyer B. Enhanced detection in brain activation maps using a multifiltering approach. J. Cereb. Blood Flow Metab. 14 (1994) 639-642
16. Poline J., Worsley K., Evans A., and Friston K. Combining spatial extent and peak intensity to test for activations in functional imaging. NeuroImage 5 (1997) 83-96
17. Polzehl J., and Spokoiny V. Adaptive weights smoothing with applications to image restoration. J. R. Stat. Soc. Ser., B 62 (2000) 335-354
18. Polzehl J., and Spokoiny V. Functional and dynamic magnetic resonance imaging using vector adaptive weights smoothing. J. R. Statist. Soc., Ser. C 50 (2001) 485-501
19. Polzehl, J., Spokoiny, V., (2006). Propagation-separation approach for local likelihood estimation. Probab. Theory Relat. Fields, in print. http://www.springerlink.com/link.asp?id=r57kl83111n7302u.
20. R Development Core Team. R: A Language and Environment for Statistical Computing (2005), R Foundation for Statistical Computing, Vienna, Austria. 3-900051-07-0.
21. Siegmund D., and Worsley K. Testing for a signal with unknown location and scale in a stationary Gaussian random field. Ann. Stat. 23 (1995) 608-639
22. Taylor J., and Adler R. Euler characteristics for Gaussian fields on manifolds. Ann. Probab. 31 (2003) 533-563
23. 2, f and t fields. Adv. Appl. Probab. 26 (1994) 13-42
24. Worsley K. An improved theoretical p-value for SPMs based on discrete local maxima. NeuroImage 28 (2005) 1056-1062
25. Worsley K. Spatial smoothing of autocorrelations to control the degrees of freedom in fMRI analysis. NeuroImage 26 (2005) 635-641
26. Worsley K., and Friston K. Analysis of fMRI time series revisited-Again. NeuroImage 2 (1995) 173-181
27. Worsley K., and Taylor J. Detecting fMRI activation allowing for unknown latency of the hemodynamic response. NeuroImage 29 (2006) 649-654
28. Worsley K., Marrett S., Neelin P., and Evans A. Searching scale space for activation in PET images. Hum. Brain Mapp. 4 (1996) 74-90
29. Worsley K., Marrett S., Neelin P., Friston K., and Evans A. A unified statistical approach for determining significant signals in images of cerebral activation. Hum. Brain Mapp. 4 (1996) 58-73
30. Worsley K., Andermann M., Koulis T., MacDonald D., and Evans A. Detecting changes in non-isotropic images. Hum. Brain Mapp. 8 (1999) 98-101
31. Worsley K., Liao C., Aston J.A.D., Petre V., Duncan G., Morales F., and Evans A. A general statistical analysis for fMRI data. NeuroImage 15 (2002) 1-15