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Abstract #1901

Evaluation the cluster-size inference with random field and permutation methods for group-level MRI analysis

Huanjie Li1, Lisa D. Nickerson2, Yang Fan3, Thomas E. Nichols4, and Jia-Hong Gao5

1Department of Biomedical Engineering, Dalian University of Technology, Dalian, China, People's Republic of, 2McLean Imaging Center, McLean Hospital/Harvard Medical School, Belmont, MA, United States, 3GE Healthcare, MR Research China, Beijing, China, People's Republic of, 4Department of Statistics and Warwick Manufacturing Group, University of Warwick, Coventry, United Kingdom, 5Center for MRI Research, Peking University, Beijing, China, People's Republic of

Threshold-free cluster enhancement (TFCE) outperforms the cluster-size test (CST) based on random field theory and our recent papers provide two voxelation-corrected CST (v-CST and vn-CST) which also show the clear advantage over other CST as well. However, it’s not clear which one shows better performance for MRI data analysis. This work provides a very careful, fair and thorough evaluation of the powerful statistical methods, which may be particularly appealing for group-level MRI data analysis.

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