Table 2 Results of the linear mixed model, predicting median RTs to investigate tACS treatment effects.

From: Prefrontal theta—gamma transcranial alternating current stimulation improves non-declarative visuomotor learning in older adults

Predictor

N

Beta

95% CI

Std. Beta

Std. 95% CI

p value

Group

0.4

 Sham tACS

432

–

–

–

–

 

 Active tACS

408

19

− 27, 64

0.23

− 0.30, 0.76

 

Session

 1

280

–

–

–

–

 

 2

280

− 44

− 52, − 35

− 0.33

− 0.41, − 0.26

 < 0.001

 3

280

− 57

− 65, − 49

− 0.53

− 0.60, − 0.45

 < 0.001

Trial type

 < 0.001

 hpt

420

–

–

–

–

 

 lpt

420

7.3

3.8, 11

0.09

0.05, 0.13

 

Epoch

840

− 13

− 17, − 8.9

− 0.17

− 0.22, − 0.12

 < 0.001

Group * session

840

     

 Active tACS * 2

136

− 21

− 30, − 12

− 0.25

− 0.36, − 0.15

 < 0.001

 Active tACS * 3

136

− 21

− 29, − 12

− 0.25

− 0.35, − 0.14

 < 0.001

  1. The model's total explanatory power was substantial (conditional R2 = 0.90) and the part related to the fixed effects alone (marginal R2) was 0.09. The Akaike Information Criterion (AIC) of the model was estimated by the maximum likelihood method and was 8119. Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% CIs and p values were computed using a Wald t-distribution approximation. A p value ≤ 0.05 indicates statistical significance (highlighted in bold).
  2. CI confidence interval.
  3. Conditional R2 = 0.90.
  4. Marginal R2 = 0.09.
  5. AIC = 8119 (estimated using Maximum Likelihood).
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