3.3 Results from the prediction models
Adhering to the same EEG pre-processing standards, the brain activity
from the preceding prcture-naming trials were put into a family of
regularized RR models as independent variable to reveal its
predictability on the brain activity during the current flanker trials.
The predictive results regarding the impact of language control on
executive control across three switching contexts are displayed in
Figure 3A.
Results showed that robust brain-brain relationships were observed in
the forced switching context for the modeling of congruent trials and
incongruent trials. More precisely, language processing notably
anticipated brain activity in subsequent congruent trials (-10 – 800ms:r = .57, p < .001). Additionally, for the
modeling of incongruent trials, a negative relationship was
significantly detected in the two time windows (272 - 640ms: r =
-.43, p = .007; 648 - 772ms: r = -.44, p = .007).
Furthermore, planned paired-sample t -tests showed that the
prediction value of language processing in the forced switching context
for congruent trials in flanker task was significantly stronger than
natural or voluntary switching contexts (t s > 30.96,p s < .001).
Figure 3 . Prediction results of ridge regression models
between the three language switching contexts and flanker trials (A) and
specification curve for congruent and incongruent trials separately
(B).