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. Author manuscript; available in PMC: 2018 Jul 1.
Published in final edited form as: Neuroimage. 2017 Mar 14;154:174–187. doi: 10.1016/j.neuroimage.2017.03.020

Figure 3. Residual QC-FC correlations after de-noising.

Figure 3

The absolute median QC-FC correlation is another measure of the relationship between connectivity and motion. A, The absolute median correlation between functional connectivity and motion in a 264-node network defined by Power et al. (2011). A lower absolute median correlation indicates better performance. B, The absolute median correlation between functional connectivity and motion in a second, 333-node network defined by Gordon et al. (2016). C, Distributions of all edgewise QC-FC correlations after each de-noising strategy, ranked according to efficacy. Results largely recapitulated those reported in Figure 2, with GSR-based approaches (blue frame) collectively exhibiting the best performance. Whereas approaches that included more regressors generally yielded a narrower distribution, those approaches that included GSR tended to shift the distribution's center toward 0.