Nonstationary cluster-size inference with random field and permutation methods
- PMID: 15193596
- DOI: 10.1016/j.neuroimage.2004.01.041
Nonstationary cluster-size inference with random field and permutation methods
Abstract
Because of their increased sensitivity to spatially extended signals, cluster-size tests are widely used to detect changes and activations in brain images. However, when images are nonstationary, the cluster-size distribution varies depending on local smoothness. Clusters tend to be large in smooth regions, resulting in increased false positives, while in rough regions, clusters tend to be small, resulting in decreased sensitivity. Worsley et al. proposed a random field theory (RFT) method that adjusts cluster sizes according to local roughness of images [Worsley, K.J., 2002. Nonstationary FWHM and its effect on statistical inference of fMRI data. Presented at the 8th International Conference on Functional Mapping of the Human Brain, June 2-6, 2002, Sendai, Japan. Available on CD-ROM in NeuroImage 16 (2) 779-780; Hum. Brain Mapp. 8 (1999) 98]. In this paper, we implement this method in a permutation test framework, which requires very few assumptions, is known to be exact [J. Cereb. Blood Flow Metab. 16 (1996) 7] and is robust [NeuroImage 20 (2003) 2343]. We compared our method to stationary permutation, stationary RFT, and nonstationary RFT methods. Using simulated data, we found that our permutation test performs well under any setting examined, whereas the nonstationary RFT test performs well only for smooth images under high df. We also found that the stationary RFT test becomes anticonservative under nonstationarity, while both nonstationary RFT and permutation tests remain valid under nonstationarity. On a real PET data set we found that, though the nonstationary tests have reduced sensitivity due to smoothness estimation variability, these tests have better sensitivity for clusters in rough regions compared to stationary cluster-size tests. We include a detailed and consolidated description of Worsley nonstationary RFT cluster-size test.
Similar articles
-
Combining voxel intensity and cluster extent with permutation test framework.Neuroimage. 2004 Sep;23(1):54-63. doi: 10.1016/j.neuroimage.2004.04.035. Neuroimage. 2004. PMID: 15325352
-
Quantile estimation to derive optimized test thresholds for random field statistics.Neuroimage. 2005 Aug 1;27(1):116-29. doi: 10.1016/j.neuroimage.2005.03.033. Neuroimage. 2005. PMID: 15955713
-
Estimation of the probabilities of 3D clusters in functional brain images.Neuroimage. 1998 Aug;8(2):113-28. doi: 10.1006/nimg.1998.0336. Neuroimage. 1998. PMID: 9740755
-
[Data processing of functional magnetic resonance of brain based on statistical parametric mapping].Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2007 Apr;24(2):477-80. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2007. PMID: 17591287 Review. Chinese.
-
Controlling the familywise error rate in functional neuroimaging: a comparative review.Stat Methods Med Res. 2003 Oct;12(5):419-46. doi: 10.1191/0962280203sm341ra. Stat Methods Med Res. 2003. PMID: 14599004 Review.
Cited by
-
Altered topological structure of the brain white matter in maltreated children through topological data analysis.Netw Neurosci. 2024 Apr 1;8(1):355-376. doi: 10.1162/netn_a_00355. eCollection 2024. Netw Neurosci. 2024. PMID: 38711544 Free PMC article.
-
Clinical and Brain Morphometry Predictors of Deep Brain Stimulation Outcome in Parkinson's Disease.Brain Topogr. 2024 Apr 25. doi: 10.1007/s10548-024-01054-2. Online ahead of print. Brain Topogr. 2024. PMID: 38662300
-
Spatial nonstationarity of image noise in widefield optical imaging and its effects on cluster-based inference for resting-state functional connectivity.J Neurosci Methods. 2024 Apr;404:110076. doi: 10.1016/j.jneumeth.2024.110076. Epub 2024 Feb 7. J Neurosci Methods. 2024. PMID: 38331258
-
Exploring the impact of intensified multiple session tDCS over the left DLPFC on brain function in MCI: a randomized control trial.Sci Rep. 2024 Jan 17;14(1):1512. doi: 10.1038/s41598-024-51690-8. Sci Rep. 2024. PMID: 38233437 Free PMC article. Clinical Trial.
-
Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance.Neuroimage. 2023 Dec 15;284:120436. doi: 10.1016/j.neuroimage.2023.120436. Epub 2023 Nov 4. Neuroimage. 2023. PMID: 37931870 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous