Assessing attentional bias and inhibitory control in cannabis use disorder using an eye-tracking paradigm with...

Individuals with cannabis use disorders (CUD) show inhibitory control deficits and differential attention toward marijuana (MJ) stimuli. The robustness and utility of these measures in the CUD literature are somewhat equivocal. The present study was designed to increase measurement sensitivity by capitalizing on (a) individually calibrated stimulus selection based on cue reactivity patterns and (2) eye-tracking based measurement. CUD (n = 42) and non-CUD controls (n = 11) served as subjects. Subjects were first exposed to MJ and neutral pictures while measuring physiological and subjective responses on a trial by trial basis. A single reactivity index was created for each stimulus (L2 vector norm). Subject-unique high-reactivity MJ and low-reactivity neutral stimuli were then used in an eye-tracking task (pro-/antisaccade). The stimulus calibration procedure produced large reactivity differences between high/MJ and low/neutral stimuli (p < .001, effect size >7). CUD subjects made more overall antisaccade errors than controls (inhibitory control, p < .02, effect size >1), and CUD subjects (but not controls) made more errors on MJ trials versus neutral trials (attentional bias, p < .002, effect size >1). Within CUD subjects, L2 vector norm scores were associated with antisaccade errors (p < .04), and antisaccade errors were correlated with the Perceived Stress Scale (p < .03) and marginally with CUD severity (p < .07). Because of precise understanding of the neural circuitry governing antisaccades (a marker in several neuro/psychiatric disorders), eye movement-based measures combined with individually determined stimuli may provide an efficient and robust marker in CUD research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).