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Influence of head motion on the output of Independent Component Analysis (ICA)-based denoising of task-related fMRI data at 7T

Thuy Ha Duy Dinh¹, Koji Fujimoto¹, Thai Akasaka¹, Tadashi Isa¹, and Tomohisa Okada¹
¹Human Brain Research Center, Kyoto University, Kyoto, Japan

There was a strong correlation between the number of total ICA components with head motion and FD. We believe that the number of ICA components can be used to detect high motion-related fMRI datasets.

Figure 2. Correlation between number of ICA components with FD and head motion

Figure 4. Correlation between number of ICA components and FD