Abstract #4620

An integrated multi‐echo denoising strategy improves the performance of the FPS-fMRI approach on a face localizer

Ziyang Chen¹, Minjie Wen², Xiaoqing Gao³, Yi-Cheng Hsu⁴, Hongjian He¹, and Jianhui Zhong^1,5

¹Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang, China, Hangzhou, China, ²Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China, Hangzhou, China, ³Center for Psychological Sciences, Zhejiang University, China, Hangzhou, China, ⁴MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China, Shanghai, China, ⁵Department of Imaging Sciences, University of Rochester, Rochester, NY, USA, Rochester, NY, United States

The fast periodic stimulation (FPS) fMRI approach can be influenced by noise with its frequency spectrum close to the specific task frequency. In this study, we investigated the effect of an integrated multi-echo denoising strategy compared with a single-echo strategy on a face localizer task. The group-averaged SNR increased on a typical face processing network due to a significant decrease in the noise frequency standard deviation. False-positive error introduced by the denoising process could be well tolerated in the presence of a positive activation increase.

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