Background
Although transcranial direct-current stimulation (tDCS) has shown to potentially mitigate drug craving and attentional bias to drug-related stimuli, individual differences in such modulatory effects of tDCS are less understood. In this study, we aimed to investigate a source of the inter-subject variability in the tDCS effects that can be useful for tDCS-based treatments of individuals with methamphetamine use disorder (IMUD).
Methods
Forty two IMUD (all male) were randomly assigned to receive a single-session of either sham or real bilateral tDCS (anodal right/cathodal left) over the dorsolateral prefrontal cortex. The tDCS effect on methamphetamine craving and biased attention to drug stimuli were investigated by quantifying EEG-derived P3 (a measure of initial attentional bias) and late positive potential (LPP; a measure of sustanined motivated attention), elicited by these stimuli. To assess the association of changes in P3 and LPP with brain connectivity network (BCN) topology, correlation between topology metrics, specifically those related to the effficientcy of information processing, and the tDCS effect was investigated.
Results
The P3 amplitude significantly decreased following the tDCS session, whereas in the sham group the amplitudes increased. The changes in P3 amplitudes were significantly correlated with communication efficiency measured by BCN topology metrics (r=-0.47, p=0.03; r=-0.49, p=0.02). There was no significant change in LPP amplitude due to the tDCS application.
Conclusions
These findings validate that tDCS mitigates initial attentional bias, but not the sustained motivated attention, to methamphetamine stimuli. Importantly, however, results also show that the individual differences in the effects of tDCS may be underpinned by communication efficiency of the BCN topology, and therefore, these BCN topology metrics may have the potential to robustly predict the effectiveness of tDCS-based interventions on MA craving and attentional bias to MA stimuli among IMUD.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.