Skip to main content
. 2022 Oct 12;12(8):740–753. doi: 10.1089/brain.2021.0133

FIG. 5.

FIG. 5.

Functional connectivity of the motor cortex for one subject that showed occasional large movements (the same subject also shown in Figs. 2 and 3), with different sets of nuisance regressors removed during preprocessing. The nuisance regressors removed for each figure are indicated by the words/abbreviations above each connectivity map. Nuisance regressors: (a) motion = the six realignment parameters, shown at two different thresholds: top row cc = 0.6, bottom row, cc = 0.3; (b) JumpCor = the JumpCor nuisance regressors, shown at two different thresholds: top row cc = 0.6, bottom row, cc = 0.3; (c) WM = average signal over eroded white matter and its temporal derivative; CSF = ventricular CSF and its temporal derivative; (d) WM, CSF, and Global = average signal over the whole brain and its temporal derivative. (e) Motion, WM, CSF. (f) Motion, WM, CSF, and Global. (g) Motion, WM, CSF, and JumpCor. (h) Motion, WM, CSF, Global, and JumpCor. Large artifactual signal changes are reduced by regressing out the estimated motion, but not by regressing out WM, CSF, and Global signal (without motion). Functional connectivity of a motor cortex seed region after nuisance regression of the motion, CSF, WM, and Global signals (f) still showed correlated signal changes outside the motor network in white matter (green arrow). These signal changes are reduced when JumpCor regressors were included in the nuisance regression. WM, white matter. Color images are available online.