Nonparametric Permutation Tests for Functional Neuroimaging

Human Brain Function: Second Edition

Volumn , Issue , 2003, Pages 887-910

  Nichols, T ^a   Holmes, A ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 40649125657     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012264841-0/50048-2     Document Type: Chapter

References (54)

1. Arndt S., Cizadlo T., Andreasen N.C., Heckel D., Gold S., O'Leary D.S. Tests for comparing images based on randomisation and permutation methods. J. Cereb. Blood Flow Metab. 1996, 16(6):1271-1279.
2. 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. Mag. Res. Med. 1996, 35:261-277.
3. Bullmore E.T., Suckling J., Overmeyer S., Rabe-Hesketh S., Taylor E., Brammer M.J. Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain. IEEE Trans. Med. Imaging 1999, 18(1):32-42.
4. Bullmore E., Long C., Suckling J. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains. Hum. Brain Mapping 2001, 12:61-78.
5. 2, t and F fields. Adv. Appl. Prob. 1999, (accepted).
6. Dwass M. Modified randomisation tests for nonparametric hypotheses. Ann. Math. Statistics 1957, 28:181-187.
7. Edgington E.S. Randomisation tests. J. Psychol. 1964, 57:445-449.
8. Edgington E.S. Approximate randomisation tests. J. Psychol. 1969, 72:143-149.
9. Edgington E.S. Statistical Inference: The Distribution Free Approach 1969, McGraw-Hill.
10. Edgington E.S. Randomisation Tests 1995, Marcel Dekker, New York. 3rd ed.
11. Fisher R.A. The Design of Experiments 1935, Oliver, Boyd, New York.
12. Fisher R.A. Statistical Methods, Experimental Design, and Scientific Inference 1990, (Auth), Oxford University Press, Edinburgh. J.H. Bennett (Ed.).
13. Forman S.D., Cohen J.D., Fitzgerald M., Eddy W.F., Mintun M.A., Noll D.C. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Mag. Res. Med. 1995, 33(5):636-647.
14. Frackowiak R.S.J., Friston K.J., Frith C.D., Dolan R.J., Mazziotta J.C. Hum. Brain Function. 1997, Academic Press, Oxford, UK.
15. Friston K.J., Frith C.D., Liddle P.F., Frackowiak R.S.J. Comparing functional (PET) images: the assessment of significant change. J. Cereb. Blood Flow Metab. 1991, 11(4):690-699.
16. Friston K.J., Worsley K.J., Frackowiak R.S.J., Mazziotta J.C., Evans A.C. Assessing the significance of focal activations using their spatial extent. Hum. Brain Mapping 1994, 1:214-220.
17. Friston K.J., Holmes A.P., Poline J.-B., Grasby P.J., Williams S.C.R., Frackowiak R.S.J., Turner R. Analysis of fMRI time series revisited. NeuroImage 1995, 2:45-53.
18. Friston K.J., Holmes A.P., Worsley K.J., Poline J.-B., Frackowiak R.S.J. Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapping 1995, 2:189-210.
19. Friston K.J., Holmes A.P., Poline J.-B., Price C.J., Frith C.D. Detecting activations in PET and fMRI: levels of inference and power. NeuroImage 1996, 4:223-235. (3 Pt 1).
20. Genovese C.R., Lazar N., Nichols T.E. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage 2001.
21. Good P. Permutation Tests. A Practical Guide to Resampling Methods for Testing Hypotheses 1994, Springer-Verlag, San Diego.
22. Grabowski T.J., Frank R.J., Brown C.K., Damasio H., Boles Ponto L.L., Watkins G.L., Hichwa R.D. Reliability of PET activation across statistical methods, subject groups, and sample sizes. Hum. Brain Mapping 1996, 4(1):23-46.
23. Halber M., Herholz K., Wienhard K., Pawlik G., Heiss W.D. Performance of a randomisation test for single-subject 15-O-Water PET activation studies. J. Cereb. Blood Flow Metab. 1997, 17:1033-1039.
24. Hochberg Y., Tamhane A.C. Multiple Comparison Procedures 1987, Wiley, Berlin.
25. Holmes A.P. Statistical Issues in Functional Brain Mapping. Ph.D. thesis, University of Glasgow 1994, Available from http://www.fil.ion.ucl.ac.uk/spm/papers/APH_thesis.
26. Holmes A.P., Friston K.J. Generalisability, random effects and population inference. NeuroImage 1999, 7(4):S754. Pt 2/3, (Proceedings of Fourth International Conference on Functional Mapping of the Human Brain, June 7-12, 1998, Montreal, Canada.).
27. Holmes A.P., Blair R.C., Watson J.D.G., Ford I. Nonparametric analysis of statistic images from functional mapping experiments. J. Cereb. Blood Flow Metab. 1996, 16(1):7-22.
28. Holmes A.P., Watson J.D.G., Nichols T.E. Holmes and Watson, on "Sherlock". J. Cereb. Blood Flow Metab. 1998, 18:S697. (-), Letter to the editor, with reply.
29. Jöckel K.-H. Finite sample properties and asymptotic efficiency of Monte-Carlo tests. Ann. Statistics 1686, 14:336-347.
30. Kendall M., Gibbons J.D. Rank Correlation Methods 1990, Edward Arnold, New York. 5th ed.
31. Liu C., Raz J., Turetsky B. An estimator and permutation test for single-trial fMRI data. Abstracts of ENAR Meeting of the International Biometric Society 1998, (March).
32. Locascio J.J., Jennings P.J., Moore C.I., Corkin S. Time series analysis in the time domain and resampling methods for studies of functional magnetic resonance brain imaging. Hum. Brain Mapping 1997, 5:168-193.
33. Manly B.F.J. Randomisation, Bootstrap and Monte-Carlo Methods in Biology 1997, Chapman & Hall.
34. Marshuetz C., Smith E.E., Jonides J., DeGutis J., Chenevert T.L. Order information in working memory: fMRI evidence for parietal and prefrontal mechanisms. J. Cog. Neurosci. 2000, 12(S2):130-144.
35. Nichols, T. E., and Hayasaka, S. (in press). Controlling the family wise error rate in functional neuroimaging: A omparative review. Stat. Meth. Med. Res.
36. Nichols T.E., Holmes A.P. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum. Brain Mapping 2001, 15:1-25.
37. Pitman E.J.G. Significance tests which may be applied to samples from any population. J. Roy. Stat. Soc. (Suppl.) 1937, 4:119-130.
38. Pitman E.J.G. Significance tests which may be applied to samples from any population. II. The correlation coefficient test. J. Roy. Stat. Soc. (Suppl.) 1937, 4:224-232.
39. Pitman E.J.G. Significance tests which may be applied to samples from any population. III. The analysis of variance test. Biometrika 1937, 29:322-335.
40. Poline J.B., Mazoyer B.M. Analysis of individual positron emission tomography activation maps by detection of high signal-to-noise-ratio pixel clusters. J. Cereb. Blood Flow Metab. 1993, 13(3):425-437.
41. Poline J.B., Worsley K.J., Evans A.C., Friston K.J. Combining spatial extent and peak intensity to test for activations in functional imaging. NeuroImage 1997, 5(2):83-96.
42. Roland P.E., Levin B., Kawashima R., Akerman S. Three-dimensional analysis of clustered voxels in 15-O-butanol brain activation images. Hum. Brain Mapping 1993, 1(1):3-19.
43. Silbersweig D.A., Stern E., Schnorr L., Frith C.D., Ashburner J., Cahill C., Frackowiak R.S.J., Jones T. Imaging transient, randomly occurring neuropsychological events in single subjects with positron emission tomography: an event-related count rate correlational analysis. J. Cereb. Blood Flow Metab. 1994, 14:771-782.
44. Silbersweig D.A., Stern E., Frith C., Cahill C., Holmes A., Grootoonk S., Seaward J., McKenna P., Chua S.E., Schnorr L., et al. A functional neuroanatomy of hallucinations in schizophrenia. Nature 1995, 378(6553):169-172.
45. Smith A.M., Lewis B.K., Ruttimann U.E., Ye F.Q., Sinnwell T.M., Yang Y., Duyn J.H., Frank J.A. Investigation of low frequency drift in fMRI signal. NeuroImage 1999, 9:526-533.
46. Watson J.D.G., Myers R., Frackowiak R.S.J., Hajnal J.V., Woods R.P., Mazziotta J.C., Shipp S., Zeki S. Area V5 of the human brain: evidence from a combined study using positron emission tomography and magnetic resonance imaging. Cereb. Cortex 1993, 3:79-94.
47. Westfall P.H., Young S.S. Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment 1993, Wiley, London.
48. 2, F and t fields. Adv. Appl. Prob. 1994, 26:13-42.
49. Worsley K.J. The geometry of random images. Chance 1996, 9(1):27-40.
50. Worsley K.J., Friston K.J. Analysis of fMRI time-series revisited-again. NeuroImage 1995, 2:173-181.
51. Worsley K.J., Evans A.C., Strother S.C., Tyler J.L. A linear spatial correlation model, with applications to positron emission tomography. J. Am. Stat. Assoc. 1991, 86:55-67.
52. Worsley K.J., Evans A.C., Marrett S., Neelin P. A three-dimensional statistical analysis for CBF activation studies in human brain. J. Cereb. Blood Flow Metab.. J. Cereb. Blood Flow Metab. 1993, 13(6):1040-1042. See comment in.
53. Worsley K.J., Marrett S., Neelin P., Vandal A.C., Friston K.J., Evans A.C. A unified statistical approach for determining significant signals in images of cerebral activation. Hum. Brain Mapping 1995, 4:58-73.
54. Yekutieli D., Benjamini Y. Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics. J. Stat. Planning Inference 1999, 82:171-196.