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. 2014 Jul 15;95(100):287–304. doi: 10.1016/j.neuroimage.2014.03.012

Fig. S4.

Fig. S4

Time series denoising capabilities of the Time and Wavelet Despike in high-motion subjects. This figure shows the effects of the Time and Wavelet Despike algorithms, on voxel time series from two high-movement cohort 1 subjects. The upper row shows the Framewise Displacement for each subject. This figure is analogous to Fig. 3. Original time series (central, black), were taken from voxels after core image processing (see Fig. 1). These voxels were then independently entered into the two despiking algorithms, and the despiked outputs are shown, along with the spikes (or noise signals) removed. The diagrams underneath the Wavelet Despiked outputs represent the temporally aligned MODWTs for the original time series (upper panel), and the maxima and minima chains detected for removal by the algorithm (lower panel). More details on the wavelet algorithm can be found in the Wavelet Despike section.