Abstract #5239

Evaluation of multi-echo ICA denoising for an olfactory task experiment.

Toshiki Okumura^1,2, Masako Okamoto³, Kazushige Touhara^3,4, and Ikuhiro Kida^1,5

¹National Institute of Information and Communications Technology, Osaka, Japan, ²The University of Tokyo, Tokyo, Japan, ³Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan, ⁴International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study, the University of Tokyo, Tokyo, Japan, ⁵Graduate School of Frontier Biosciences, Osaka University, Osaka, Japan

Synopsis

Keywords: fMRI (task based), fMRI (task based)To remove noises from fMRI signals, ME-ICA was proposed. However, it is still unclear whether the denoising method shows good performance for an olfactory task experiment. Here, we compared the GLM and MVPA results between conventional denoising method and ME-ICA. In the 2nd level GLM, ME-ICA showed larger activation than conventional one, which is in line with the previous studies for visual or auditory experiments. On the other hand, ME-ICA did not show better MVPA performance. In conclusion, ME-ICA was a good denoising method for an olfactory experiment, but the benefit was small for MVPA.

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