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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