Table 3.

Parametric Coefficients
. | Estimate
. | Std. Error
. | t Value
. | p Value
. |
---|---|---|---|---|

(Intercept) | 0.0034 | 0.0079 | 0.4275 | .6691 |

Smooth Terms
. | edf
. | Ref.df
. | F Value
. | p 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 Coefficients
. | Estimate
. | Std. Error
. | t Value
. | p Value
. |
---|---|---|---|---|

(Intercept) | 0.0034 | 0.0079 | 0.4275 | .6691 |

Smooth Terms
. | edf
. | Ref.df
. | F Value
. | p 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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