Input permutation method to detect active voxels in fMRI study

Magnetic Resonance Imaging

Volumn 30, Issue 10, 2012, Pages 1495-1504

  Lee, Sang H ^a   Lim, Johan ^b   Park, DoHwan ^c   Biswal, Bharat B ^a,d   Petkova, Eva ^a,e  

^a NATHAN S KLINE INSTITUTE FOR PSYCHIATRIC RESEARCH   (United States)

^b Seoul National University   (South Korea)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^d RUTGERS NEW JERSEY MEDICAL SCHOOL   (United States)

^e NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

False discovery rate; FMRI; Input permutation method; Lagged correlation; Time delay

Indexed keywords

ACCURACY; ACTIVE VOXEL DETECTION; ADULT; ARTICLE; BOLD SIGNAL; CONTROLLED STUDY; ERROR; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERAL LINEAR MODEL; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGING SYSTEM; INPUT PERMUTATION METHOD; INTERMETHOD COMPARISON; LOCAL FALSE DISCOVERY RATE; MALE; MAXIMUM LAGGED CORRELATION; MOTOR CORTEX; NONPARAMETRIC TEST; NORMAL HUMAN; PERMUTATION DERIVED STATISTICS; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; SPECIFICITY; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; TASK PERFORMANCE;

ADULT; ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, STATISTICAL; OXYGEN; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 84868669909     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2012.04.013     Document Type: Article

References (30)

1. Belliveau J.W., Kennedy D.N., McKinstry R.C., Buchbinder B.R., Weisskoff R.M., Cohen M.S., et al. Functional mapping of the human visual cortex by magnetic resonance imaging. Science 1991, 254:716-719.
2. Kwong K.K., Belliveau J.W., Chesler D.A., Weisskoff R.M., Poncelet B.P., Kennedy D.N., et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc Natl Acad Sci U S A 1992, 89:5675-5679.
3. Bandettini P.A., Wong E.C., Hinks R.S., Tikofsky R.S., Hyde J.S. Time course EPI of human brain function during task activation. Magn Reson Med 1992, 25:390-397.
4. Ogawa S., Tank D.W., Mennon R., Ellermann J.M., Kim S.G., Merkle H., et al. Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. Proc Natl Acad Sci U S A 1992, 89:5951-5955.
5. Huettel S.A., McCarthy G. Regional differences in the refractory period of the hemodynamic response: an event-related fMRI study. NeuroImage 2001, 14:967-976.
6. Biswal B.B., Pathak A.P., Ulmer J.L., Hudetz A.G. Decoupling of the hemodynamic and activation-induced delays in functional magnetic resonance imaging. J Comput Assit Tomogr 2003, 27(2):219-225.
7. Saad Z.S., DeYoe E.A., Ropella K.M. Estimation of fMRI response delays. NeuroImage 2003, 18:492-504.
8. Friston K.J., Homes A.P., Poline J.B., GrasBy P.J., Williams S.C.R., Frackowiak R.S.J., et al. Analysis of fMRI time-series revisited. NeuroImage 1995, 2:45-53.
9. Worsley K.J., Liao C.H., Aston J., Petre V., Duncan G.H., Morales F., et al. A general statistical analysis for fMRI Data. NeuroImage 2002, 15:1-15.
10. Liao C.H., Worsley K.J., Poline J.B., Aston J.A., Duncan G.H., Evans A.C. Estimating the delay of the fMRI response. NeuroImage 2002, 16:593-606.
11. Holmes A.P., Blair R.C., Watsn J.D.G., Ford I. Nonparametric analysis of statistic images from functional mapping experiments. J Cereb Blood Flow Metab 1996, 16:7-22.
12. Nichols T.E., Holmes A.P. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp 2001, 15:125.
13. Bullmore E., Long C., Suckling J., Fadili J., Calvert G., Zelaya F., et al. Colored noise and computational inference in neurophysiological (fMRI) times series analysis: resampling methods in time and wavelet domains. Hum Brain Mapp 2001, 12:61-78.
14. Friman O., Westin C.F. Resampling fMRI time series. NeuroImage 2005, 25:859-867.
15. Efron B. Correlation and large-scale simultaneous hypothesis testing. J Am Stat Assoc 2007, 102:93-103.
16. Efron B. Large-scale simultaneous hypothesis testing: the choice of a null hypothesis. J Am Stat Assoc 2004, 99:96-104.
17. Park D., Park J., Zhong X., Sadelain M. Estimation of empirical null using a mixture of normals and its use in local false discovery rate. Comput Stat Data Anal 2011, 55:2421-2432.
18. Wong E., Tasaki E., Lee G., Mason D.T. Efficacy of low power laser to treat closed lock temporomandibular joint dysfunction. Clin Res 1992, 40:433A.
19. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 1996, 29:162-173.
20. Lee A.T., Glover G.H., Meyer C.H. Discrimination of large venous vessels in time-course spiral blood-oxygen-level-dependent magnetic resonance functional neuroimaging. Magn Reson Imaging 1995, 33:745-754.
21. Menon R.S., Luknowsky D.C., Gati J.S. Mental chronometry using latency-resolved functional MRI. Proc Natl Acad Sci 1998, 95:10902-10907.
22. Romano J. On the behavior of randomization tests without a group invariance assumption. J Am Stat Assoc 1990, 85(411):686-692.
23. Bullmore E., Brammer M., Williams S.C.R., Rabe-Hesketh S., Janot N., David A., et al. Statistical Methods of estimation and inference for functional MR image analysis. Magn Reson Med 1996, 35(2):261-277.
24. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 1999, 9:416-429.
25. Huang Y., Xu H., Calian V., Hsu J.C. To permute or not to permute. Bioinformatics 2006, 22(18):2244-2248.
26. Yang H., Churchill C. Estimating p-values in small microarray experiments. Bioinformatics 2007, 23(1):38-43.
27. 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 Mapp 1995, 4:58-73.
28. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B 1995, 57(1):289-300.
29. Heller R., Stanley D., Yekutieli D., Rubin D., Benjamini Y. Cluster-based analysis of FMRI data. NeuroImage 2006, 33:599-608.
30. Schwartzman A., Doughert R.F., Lee J., Ghahremani D., Taylor J.E. Empirical null and false discovery rate analysis in neuroimaging. NeuroImage 2009, 44(1):71-82.