264 related articles for article (PubMed ID: 15195286)
1. Permutation tests for factorially designed neuroimaging experiments.
Suckling J; Bullmore E
Hum Brain Mapp; 2004 Jul; 22(3):193-205. PubMed ID: 15195286
[TBL] [Abstract][Full Text] [Related]
2. MIDAS: Regionally linear multivariate discriminative statistical mapping.
Varol E; Sotiras A; Davatzikos C
Neuroimage; 2018 Jul; 174():111-126. PubMed ID: 29524624
[TBL] [Abstract][Full Text] [Related]
3. Nonparametric permutation tests for functional neuroimaging: a primer with examples.
Nichols TE; Holmes AP
Hum Brain Mapp; 2002 Jan; 15(1):1-25. PubMed ID: 11747097
[TBL] [Abstract][Full Text] [Related]
4. An evaluation of spatial thresholding techniques in fMRI analysis.
Logan BR; Geliazkova MP; Rowe DB
Hum Brain Mapp; 2008 Dec; 29(12):1379-89. PubMed ID: 18064589
[TBL] [Abstract][Full Text] [Related]
5. Cluster mass inference via random field theory.
Zhang H; Nichols TE; Johnson TD
Neuroimage; 2009 Jan; 44(1):51-61. PubMed ID: 18805493
[TBL] [Abstract][Full Text] [Related]
6. Combined permutation test and mixed-effect model for group average analysis in fMRI.
Mériaux S; Roche A; Dehaene-Lambertz G; Thirion B; Poline JB
Hum Brain Mapp; 2006 May; 27(5):402-10. PubMed ID: 16596617
[TBL] [Abstract][Full Text] [Related]
7. Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain.
Bullmore ET; Suckling J; Overmeyer S; Rabe-Hesketh S; Taylor E; Brammer MJ
IEEE Trans Med Imaging; 1999 Jan; 18(1):32-42. PubMed ID: 10193695
[TBL] [Abstract][Full Text] [Related]
8. Permutation and parametric tests for effect sizes in voxel-based morphometry of gray matter volume in brain structural MRI.
Dickie DA; Mikhael S; Job DE; Wardlaw JM; Laidlaw DH; Bastin ME
Magn Reson Imaging; 2015 Dec; 33(10):1299-1305. PubMed ID: 26253778
[TBL] [Abstract][Full Text] [Related]
9. The bootstrap and cross-validation in neuroimaging applications: estimation of the distribution of extrema of random fields for single volume tests, with an application to ADC maps.
Viviani R; Beschoner P; Jaeckle T; Hipp P; Kassubek J; Schmitz B
Hum Brain Mapp; 2007 Oct; 28(10):1075-88. PubMed ID: 17266105
[TBL] [Abstract][Full Text] [Related]
10. Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM.
Gutierrez-Barragan F; Ithapu VK; Hinrichs C; Maumet C; Johnson SC; Nichols TE; Singh V;
Neuroimage; 2017 Oct; 159():79-98. PubMed ID: 28720551
[TBL] [Abstract][Full Text] [Related]
11. Combining voxel intensity and cluster extent with permutation test framework.
Hayasaka S; Nichols TE
Neuroimage; 2004 Sep; 23(1):54-63. PubMed ID: 15325352
[TBL] [Abstract][Full Text] [Related]
12. Probabilistic TFCE: A generalized combination of cluster size and voxel intensity to increase statistical power.
Spisák T; Spisák Z; Zunhammer M; Bingel U; Smith S; Nichols T; Kincses T
Neuroimage; 2019 Jan; 185():12-26. PubMed ID: 30296561
[TBL] [Abstract][Full Text] [Related]
13. Detecting activations in PET and fMRI: levels of inference and power.
Friston KJ; Holmes A; Poline JB; Price CJ; Frith CD
Neuroimage; 1996 Dec; 4(3 Pt 1):223-35. PubMed ID: 9345513
[TBL] [Abstract][Full Text] [Related]
14. Improving permutation test power for group analysis of spatially filtered MEG data.
Chau W; McIntosh AR; Robinson SE; Schulz M; Pantev C
Neuroimage; 2004 Nov; 23(3):983-96. PubMed ID: 15528099
[TBL] [Abstract][Full Text] [Related]
15. Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering.
Hossein-Zadeh GA; Ardekani BA; Soltanian-Zadeh H
IEEE Trans Med Imaging; 2003 Jul; 22(7):795-805. PubMed ID: 12906234
[TBL] [Abstract][Full Text] [Related]
16. Permutation testing of orthogonal factorial effects in a language-processing experiment using fMRI.
Suckling J; Davis MH; Ooi C; Wink AM; Fadili J; Salvador R; Welchew D; Sendur L; Maxim V; Bullmore ET
Hum Brain Mapp; 2006 May; 27(5):425-33. PubMed ID: 16596618
[TBL] [Abstract][Full Text] [Related]
17. Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing.
Chung S; Pelletier D; Sdika M; Lu Y; Berman JI; Henry RG
Neuroimage; 2008 Feb; 39(4):1693-705. PubMed ID: 18082426
[TBL] [Abstract][Full Text] [Related]
18. Support vector machine learning-based fMRI data group analysis.
Wang Z; Childress AR; Wang J; Detre JA
Neuroimage; 2007 Jul; 36(4):1139-51. PubMed ID: 17524674
[TBL] [Abstract][Full Text] [Related]
19. Comparison of a non-stationary voxelation-corrected cluster-size test with TFCE for group-Level MRI inference.
Li H; Nickerson LD; Nichols TE; Gao JH
Hum Brain Mapp; 2017 Mar; 38(3):1269-1280. PubMed ID: 27785843
[TBL] [Abstract][Full Text] [Related]
20. ROC analysis of statistical methods used in functional MRI: individual subjects.
Skudlarski P; Constable RT; Gore JC
Neuroimage; 1999 Mar; 9(3):311-29. PubMed ID: 10075901
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]