Background: Drug-related cue-reactivity, dysfunctional negative emotion processing, and response-disinhibition constitute three core aspects of methamphetamine use disorder (MUD). These phenomena have been studied independently, but the neuroscientific literature on their interaction in addictive disorders remains scant.
Methods: fMRI data were collected from 62 individuals with MUD when responding to the geometric Go or No-Go cues superimposed over blank, neutral, negative-emotional and drug-related background images. Neural correlates of drug and negative-emotional cue-reactivity, response-inhibition, and response-inhibition during drug and negative-emotional blocks were estimated, and methamphetamine cue-reactivity was compared between MUDs and 23 healthy controls (HCs). Relationships between clinical and behavioral characteristics and observed activations were subsequently investigated.
Results: MUDs had longer reaction times and more errors in drug and negative-emotional blocks compared to neutral and blank ones. MUDs showed higher drug cue-reactivity than HCs across prefrontal regions, fusiform gyrus, and visual cortices (Z>3.1, p-corrected<0.05). Response-inhibition was associated with activations in the precuneus, inferior parietal lobule, and anterior cingulate, temporal and inferior frontal gyri (Z>3.1, p-corrected<0.05). Response-inhibition in drug cue blocks coincided with higher activations in the visual cortex and lower activations in the paracentral lobule and superior and inferior frontal gyri, while inhibition during negative-emotional blocks led to higher superior parietal, fusiform, and lateral occipital activations (Z>3.1, p-corrected<0.05).
Conclusion: Higher visual cortical activations and lower parietal and prefrontal activations during drug-related response-inhibition suggest the down-regulation of inhibitory regions and up-regulation of bottom-up drug cue-reactivity. Our results suggest that drug and negative-emotional cue-reactivity influence response-inhibition, and the study of these interactions may aid mechanistic understandings of addiction and biomarker discovery.