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Fig. 3 | International Journal of Bipolar Disorders

Fig. 3

From: Prediction of vulnerability to bipolar disorder using multivariate neurocognitive patterns: a pilot study

Fig. 3

a A bar graph showing LASSO algorithm coefficients assigned to the most relevant CANTAB neurocognitive measurements. AGN ON affective Go/No go task total omission with negative stimuli, SRM ML spatial recognition memory task mean latency, CGT DA Cambridge gambling task delay aversion, CGT RA Cambridge gambling task risk adjustment, RVP TH rapid visual processing task total hits. These neurocognitive variables were assigned as non-zero coefficients during algorithm training. Positive coefficients represent increased neurocognitive scores in BD patients as compared to HCs and vice versa. b A bar graph comparing CGT RA scores from the discovery cohort. c A three-group (HCs, SIs, BD) comparison of CGT RA scores in the replication cohort

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