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The most easily detectable form of a dissociation between power changes of opposite sign would be complementary anatomical distributions.
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To test whether changes in effective connectivity could be confounded by power changes of the cortical sources, we compared time frequency spectra between groups using ANOVA.
Partial correlation was used to investigate the relationship between LFP power changes during force generation in each of the four frequency bands and SRE within subjects, while controlling for the effect of activity in the remaining three frequency bands.
Average power changes between the onset of grip force and the time to peak force (a duration of 1.24 s ± 0.17 s; hitherto termed the force generation period) were estimated over the four frequency bands in individual grips.
Even though we observed some general group differences in power of the early ERS, ERD, and beta rebound ERS in the Predicted condition Group comparisons between controls and those with ADHD there were no statistical differences in power changes between groups during any of these phases.
Based on the broad foundation provided by previous studies, we analysed task-related power changes to dissociate between the effects of the two practice schedules upon neural activity in the sensorimotor cortex.
Frontal EEG power changes between the awake state and MOSSA.
Frontal EEG power changes between MOSSA and body movement.
EEG α-phase and power changes were compared after and between episodes of α-tACS across conditions and against sham.
This gave us a measure of MPH induced power changes.
The algorithm is based on the principle of conservation of mass (power), assuming a linear relationship between the net power change and the net flow in the vascular system.
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