Accurately localizing brain activation is of great importance for promoting basic science and clinical application of task fMRI data. In this study, we proposed a global and time-efficient way to conduct brain activation analysis, with the property of spatially-adaptive smoothing and determining individual voxel’s activation status with wholebrain fMRI data considered simultaneously. We have demonstrated its advantage over traditional methods in alleviating spatial blurring artifacts.
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