Fig. 3: Prediction of Cig+CB scores using RDEX parameters. | Neuropsychopharmacology

Fig. 3: Prediction of Cig+CB scores using RDEX parameters.

From: Model-based analysis of stop-signal data reveals robust neural and clinical correlates of evidence accumulation but not inhibition

Fig. 3: Prediction of Cig+CB scores using RDEX parameters.The alternative text for this image may have been generated using AI.

A Mean beta value for each parameter predicting Cig+CB score in Elastic Net regression model at ages 19 and 23. B Frequency of each parameter predicting Cig+CB in 100 iterations of Elastic Net regression model. C Predictive performances of connectome-based predictive modeling (CPM). Cig+CB, Cigarette and cannabis use. EEA, efficiency of evidence accumulation; B decision threshold; Pgf, probability of go failure. SSRTRDXE, stop signal reaction time derived from RDEX-ABCD; SSRTINT, stop signal reaction time derived from integration method; *, P < 0.05; **, P < 0.01; †, P < 0.001.

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