Table 2.

Table summary of elastic net regularization models created for each dependent variable.

Dependent variable	Change in correct naming	Change in semantic errors	Change in phonological errors
R square	0.616	0.425	0.158
Number of participants	26	25	24
Predictors	Mean kurtosis at baseline Postcentral gyrus left (−0.069) Supramarginal gyrus left (−0.173) Angular gyrus left (‐0.185)		Mean kurtosis at baseline Posterior Insula left (‐0.008)
	Non‐structural tDCS type (0.74) Education (0.142) Room to improve in correct naming at baseline (−0.179)
Associations	Change in mean kurtosis Posterior superior temporal gyrus left (0.003)	Change in mean kurtosis Middle temporal gyrus left (−0.031) Inferior temporal gyrus left (−0.108)

The dependent variable change in correct naming was calculated as ((correct at 1 week) − (correct at baseline))/(175 − (correct at baseline)) *100. The dependent variable change in semantic errors was calculated as ((percent semantic errors at 1 week) − (percent semantic errors at baseline)). The dependent variable change in phonological errors was calculated as ((percent phonological errors at 1 week) − (percent phonological errors at baseline)). The number in parenthesis indicates the beta coefficient for that variable in the model.