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Table 3. 
GAMM Analysis: Beta Power Predicting Post-R2 Alpha
Parametric CoefficientsEstimateStd. Errort Valuep Value
(Intercept) 0.0034 0.0079 0.4275 .6691 
  
Smooth TermsedfRef.dfF Valuep Value
s(β power) 1.0002 1.0004 44.5739 <.0001* 
s(participant) 0.0032 11.0000 0.0000 1.0000 
GAMM analysis: β predicting post-R2 alpha 
Parametric CoefficientsEstimateStd. Errort Valuep Value
(Intercept) 0.0034 0.0079 0.4275 .6691 
  
Smooth TermsedfRef.dfF Valuep Value
s(β power) 1.0002 1.0004 44.5739 <.0001* 
s(participant) 0.0032 11.0000 0.0000 1.0000 
GAMM analysis: β predicting post-R2 alpha 

The results of single trial GAMM analysis where β power was tested as a predictor for post-R2 α. The table displays the results for the final model that was based on the data collapsed across the significant sensors.

The asterisk signifies the factors that were significant after false discovery rate correction, applied after the same model was fitted for every sensor separately.

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