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

摘要：

Objective: Threshold-free cluster enhancement (TFCE) based on permutation testing outperforms the original cluster-size test (CST) based on random field theory ”1,2”.Our recent papers provide a voxelation-corrected CST (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 avery careful, fair and thorough evaluation of the powerful statistical methods.To investigate the effectiveness of v-CST, vn-CST and TFCE under different degrees of freedom (dfs), smoothness levels and signal to noise ratios (SNRs) for non-stationary images for group-level analysis.

作者: Huanjie Li Lisa Nickerson Fengyu Cong Jia-Hong Gao

作者单位: Dalian University of Technology, Liaoning, China McLean Hospital Harvard Medical School, Belmont, United States Peking University, Beijing, China

会议类型: 国内会议

会议名称: 第三届脑成像与脑电研究与应用研讨会

会议地点: 大连

会议语种:英文

页码: 58-58

在线出版日期: 2016-07-01（万方平台首次上网日期，不代表论文的发表时间）