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Social Information Processing in Substance Use Disorders: Insights From an Emotional Go-Nogo Task

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Specialty Psychiatry
Date 2021 Jun 14
PMID 34122188
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Abstract

Positive social connections are crucial for recovery from Substance Use Disorder (SUD). Of interest is understanding potential social information processing (SIP) mediators of this effect. To explore whether persons with different SUD show idiosyncratic biases toward social signals, we administered an emotional go-nogo task (EGNG) to 31 individuals with Cocaine Use Disorder (CoUD), 31 with Cannabis Use Disorder (CaUD), 79 with Opioid Use Disorder (OUD), and 58 controls. Participants were instructed to respond to emotional faces (Fear/Happy) but withhold responses to expressionless faces in two task blocks, with the reverse instruction in the other two blocks. Emotional faces as non-targets elicited more "false alarm" (FA) commission errors as a main effect. Groups did not differ in overall rates of hits (correct responses to target faces), but participants with CaUD and CoUD showed reduced rates of hits (relative to controls) when expressionless faces were targets. OUD participants had worse hit rates [and slower reaction times (RT)] when fearful faces (but not happy faces) were targets. CaUD participants were most affected by instruction effects (respond/"go" vs withhold response/"no-go" to emotional face) on discriminability statistic A. Participants were faster to respond to happy face targets than to expressionless faces. However, this pattern was reversed in fearful face blocks in OUD and CoUD participants. This experiment replicated previous findings of the greater salience of expressive face images, and extends this finding to SUD, where persons with CaUD may show even greater bias toward emotional faces. Conversely, OUD participants showed idiosyncratic behavior in response to fearful faces suggestive of increased attentional disruption by fear. These data suggest a mechanism by which positive social signals may contribute to recovery.

References
1.
Bayrakci A, Sert E, Zorlu N, Erol A, Saricicek A, Mete L . Facial emotion recognition deficits in abstinent cannabis dependent patients. Compr Psychiatry. 2015; 58:160-4. DOI: 10.1016/j.comppsych.2014.11.008. View

2.
Ahn W, Ramesh D, Moeller F, Vassileva J . Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence. Front Psychiatry. 2016; 7:34. PMC: 4785183. DOI: 10.3389/fpsyt.2016.00034. View

3.
Kalant H . What neurobiology cannot tell us about addiction. Addiction. 2009; 105(5):780-9. DOI: 10.1111/j.1360-0443.2009.02739.x. View

4.
Waring J, Greif T, Lenze E . Emotional Response Inhibition Is Greater in Older Than Younger Adults. Front Psychol. 2019; 10:961. PMC: 6504835. DOI: 10.3389/fpsyg.2019.00961. View

5.
Ketcherside A, Jeon-Slaughter H, Baine J, Filbey F . Discriminability of personality profiles in isolated and Co-morbid marijuana and nicotine users. Psychiatry Res. 2016; 238:356-362. PMC: 4834927. DOI: 10.1016/j.psychres.2016.02.024. View