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. 2022 Aug 9;5:799. doi: 10.1038/s42003-022-03762-6

Table 2.

Individual fitting of data from the TMS experiment by logistic regression.

Coefficients Estimate Standard Error Odds Ratio z p
Monkey = Neptune TMS phase = on judgement
 (Intercept) −1.929 0.405 0.145 −4.767 <0.001
 WT 0.149 0.030 1.160 4.947 <0.001
 TMS 1.989 0.532 7.309 3.735 <0.001
 WT * TMS −0.146 0.040 0.864 −3.643 <0.001
Monkey = Uranus TMS phase = on judgement
 (Intercept) −1.930 0.328 0.145 −5.881 <0.001
 WT 0.174 0.031 1.190 5.541 <0.001
 TMS 1.905 0.492 6.719 3.875 <0.001
 WT * TMS −0.175 0.048 0.83 −3.670 <0.001
Monkey = Neptune TMS phase = on wagering
 (Intercept) −1.816 0.400 0.163 −4.539 <0.001
 WT 0.147 0.028 1.158 5.206 <0.001
 TMS −0.138 0.579 0.871 −0.239 0.811
 WT*TMS 0.008 0.041 1.008 0.184 0.854
Monkey = Uranus TMS phase = on wagering
 (Intercept) −1.867 0.336 0.155 −5.551 <0.001
 WT 0.175 0.032 1.191 5.439 <0.001
 TMS −0.345 0.541 0.708 −0.638 0.524
 WT*TMS 0.048 0.054 1.049 0.883 0.377

Logistic regression of response (correct/incorrect) with WT, TMS (TMS-46d/TMS-sham), and a cross-product item as factors to test whether TMS of BA46d affects the ability of WT to track responses. Logistic regression was performed for the on-judgement and on-wagering phases separately for each monkey.