187 related articles for article (PubMed ID: 20955803)
1. Adjusting the effect of nonstationarity in cluster-based and TFCE inference.
Salimi-Khorshidi G; Smith SM; Nichols TE
Neuroimage; 2011 Feb; 54(3):2006-19. PubMed ID: 20955803
[TBL] [Abstract][Full Text] [Related]
2. Adjusting the neuroimaging statistical inferences for nonstationarity.
Salimi-Khorshidi G; Smith SM; Nichols TE
Med Image Comput Comput Assist Interv; 2009; 12(Pt 1):992-9. PubMed ID: 20426085
[TBL] [Abstract][Full Text] [Related]
3. Nonstationary cluster-size inference with random field and permutation methods.
Hayasaka S; Phan KL; Liberzon I; Worsley KJ; Nichols TE
Neuroimage; 2004 Jun; 22(2):676-87. PubMed ID: 15193596
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Cluster-level statistical inference in fMRI datasets: The unexpected behavior of random fields in high dimensions.
Bansal R; Peterson BS
Magn Reson Imaging; 2018 Jun; 49():101-115. PubMed ID: 29408478
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Validating cluster size inference: random field and permutation methods.
Hayasaka S; Nichols TE
Neuroimage; 2003 Dec; 20(4):2343-56. PubMed ID: 14683734
[TBL] [Abstract][Full Text] [Related]
8. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference.
Smith SM; Nichols TE
Neuroimage; 2009 Jan; 44(1):83-98. PubMed ID: 18501637
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Evaluation of Second-Level Inference in fMRI Analysis.
Roels SP; Loeys T; Moerkerke B
Comput Intell Neurosci; 2016; 2016():1068434. PubMed ID: 26819578
[TBL] [Abstract][Full Text] [Related]
11. Detecting auditory cortex: a comparison of SPM and WSPM.
Sun S; Zhu L; Luo S
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3937-40. PubMed ID: 19163574
[TBL] [Abstract][Full Text] [Related]
12. A voxelation-corrected non-stationary 3D cluster-size test based on random field theory.
Li H; Nickerson LD; Zhao X; Nichols TE; Gao JH
Neuroimage; 2015 Sep; 118():676-82. PubMed ID: 26067343
[TBL] [Abstract][Full Text] [Related]
13. WSPM: wavelet-based statistical parametric mapping.
Van De Ville D; Seghier ML; Lazeyras F; Blu T; Unser M
Neuroimage; 2007 Oct; 37(4):1205-17. PubMed ID: 17689101
[TBL] [Abstract][Full Text] [Related]
14. Effects of large-scale nonstationarity on parametric maps. A study of rest perfusion CASL data.
Viviani R
Neuroimage; 2011 Feb; 54(3):2066-78. PubMed ID: 20974261
[TBL] [Abstract][Full Text] [Related]
15. Spatial nonstationarity of image noise in widefield optical imaging and its effects on cluster-based inference for resting-state functional connectivity.
White BR; Adepoju TE; Fisher HB; Shinohara RT; Vandekar S
J Neurosci Methods; 2024 Apr; 404():110076. PubMed ID: 38331258
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A cluster mass permutation test with contextual enhancement for fMRI activation detection.
Tillikainen L; Salli E; Korvenoja A; Aronen HJ
Neuroimage; 2006 Aug; 32(2):654-64. PubMed ID: 16769226
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Quantile estimation to derive optimized test thresholds for random field statistics.
Hinrichs H; Scholz M; Noesselt T; Heinze HJ
Neuroimage; 2005 Aug; 27(1):116-29. PubMed ID: 15955713
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]