Clinical research

Effects of emotion regulation ability on inhibitory control in patients with alcohol use disorder

  • CHENG Fei ,
  • CHEN Tianzhen ,
  • YOU Xu ,
  • XUE Baoshuang ,
  • YANG Yunbin ,
  • DU Jiang
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  • 1.Department of Addiction Medicine, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
    2.Department of Psychiatry, The Second People's Hospital of Honghe Prefecture, Yunnan Province, Jianshui 654313, China
DU Jiang, E-mail: dujiangdongfang@163.com.

Received date: 2024-12-30

  Accepted date: 2025-03-17

  Online published: 2025-07-28

Supported by

National Natural Science Foundation of China(82171484);Medical-Engineering Interdisciplinary Research Fund of Shanghai Jiao Tong University "Jiao Da Star" Program(YG2023ZD25);Shanghai Rising-Star Program(22YF1439200);Research-oriented Physician Training and Capability Enhancement Program of Shanghai Mental Health Center(2021-YJXYS-01)

Abstract

Objective ·To investigate the performance and psychological mechanisms of inhibitory control in patients with alcohol use disorder (AUD) under different emotional contexts, and to examine the influence of emotion regulation difficulties on inhibitory control. Methods ·A total of 28 male AUD inpatients (AUD group) and 28 age- and education-matched healthy controls (HC group) were recruited. The emotional Go/Nogo task (angry/neutral facial expressions) was used to evaluate the subjects' behavioral inhibition, and the hierarchical drift-diffusion model (HDDM) was used to quantify the cognitive parameters (drift rate, decision threshold, and non-decision time). The Difficulties in Emotion Regulation Scale (DERS) and Alcohol Use Disorder Identification Test (AUDIT) were used for clinical evaluation. The moderated mediation effects were tested by bootstrap method. ​ Results ·The AUD group scored higher than the HC group on the DERS total score and all sub-dimensions (goal-directed behavior, impulse control, strategy access, and emotional clarity), and the difference was statistically significant (all P<0.05). At the behavioral level, compared with the HC group, the AUD group had elevated commission error rates [F(1,54)=8.62, P=0.005] and omission error rates [F(1,54)=4.28, P=0.043], and the reaction time of angry face stimuli was generally prolonged [F(1,54)=12.26, P=0.001]. Cognitive modeling showed that the drift rate of the AUD group was significantly lower than that of the HC group [F(1,54)=15.56, P<0.001], indicating impaired information processing efficiency. The moderated mediation model showed that, under the condition of angry face stimuli, the drift rate partially mediated the relationship between group and commission error rate, and the total indirect effect value was 9.564 (95%CI 3.874‒16.387). Further analysis showed that the conditional indirect effect increased to 10.133 (95%CI 3.963‒17.927) at high levels of emotion regulation difficulty (one standard deviation above the mean), and to 9.011 (95%CI 3.778‒14.921) at low levels (one standard deviation below the mean). Conclusion ·The deficits in information processing efficiency of AUD patients partly explains the impairment of inhibitory control, and this effect is associated with individual emotion regulation capacity. It is suggested that abnormal processing of social threat information may be an important factor affecting the impairment of inhibitory control in AUD patients, especially in individuals with weak emotion regulation ability.

Cite this article

CHENG Fei , CHEN Tianzhen , YOU Xu , XUE Baoshuang , YANG Yunbin , DU Jiang . Effects of emotion regulation ability on inhibitory control in patients with alcohol use disorder[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2025 , 45(7) : 883 -891 . DOI: 10.3969/j.issn.1674-8115.2025.07.010

References

[1] World Health Organization. Global status report on alcohol and health and treatment of substance use disorders[R/OL]. (2024-11-25) [2024-12-20]. https://www.who.int/publications/i/item/9789240096745.
[2] HUANG Y Q, WANG Y, WANG H, et al. Prevalence of mental disorders in China: a cross-sectional epidemiological study[J]. Lancet Psychiatry, 2019, 6(3): 211-224.
[3] YU Z, HE L P, WICHAIDIT W, et al. Prevalence of alcohol-related harms in Yi and Han ethnic groups in a prefecture in Yunnan Province, China[J]. Int J Environ Res Public Health, 2022, 19(23): 16081.
[4] Substance Abuse and Mental Health Services Administration. SAMHSA releases annual national survey on drug use and health[R/OL]. (2024-08-02) [2024-12-20]. https://sdaho.org/2024/08/02/samhsa-releases-annual-national-survey-on-drug-use-and-health/.
[5] MIYAKE A, FRIEDMAN N P, EMERSON M J, et al. The unity and diversity of executive functions and their contributions to complex "frontal lobe" tasks: a latent variable analysis[J]. Cogn Psychol, 2000, 41(1): 49-100.
[6] DIAMOND A. Executive functions[J]. Annu Rev Psychol, 2013, 64: 135-168.
[7] RUBIO G, JIMéNEZ M, RODRíGUEZ-JIMéNEZ R, et al. The role of behavioral impulsivity in the development of alcohol dependence: a 4-year follow-up study[J]. Alcohol Clin Exp Res, 2008, 32(9): 1681-1687.
[8] SMITH J L, MATTICK R P, JAMADAR S D, et al. Deficits in behavioural inhibition in substance abuse and addiction: a meta-analysis[J]. Drug Alcohol Depend, 2014, 145: 1-33.
[9] CHEN Y Z, YU H L, GAO X M. Influences of emotional information on response inhibition in gaming disorder: behavioral and ERP evidence from Go/Nogo task[J]. Int J Environ Res Public Health, 2022, 19(23): 16264.
[10] ZHU S Y, LIU Q, ZHANG X L, et al. Transcutaneous auricular vagus nerve stimulation enhanced emotional inhibitory control via increasing intrinsic prefrontal couplings[J]. Int J Clin Health Psychol, 2024, 24(2): 100462.
[11] HERMAN A M, DUKA T. Facets of impulsivity and alcohol use: what role do emotions play?[J]. Neurosci Biobehav Rev, 2019, 106: 202-216.
[12] DVORAK R D, SARGENT E M, KILWEIN T M, et al. Alcohol use and alcohol-related consequences: associations with emotion regulation difficulties[J]. Am J Drug Alcohol Abuse, 2014, 40(2): 125-130.
[13] TOWNSHEND J M, DUKA T. Mixed emotions: alcoholics' impairments in the recognition of specific emotional facial expressions[J]. Neuropsychologia, 2003, 41(7): 773-782.
[14] KORNREICH C, FOISY M L, PHILIPPOT P, et al. Impaired emotional facial expression recognition in alcoholics, opiate dependence subjects, methadone maintained subjects and mixed alcohol-opiate antecedents subjects compared with normal controls[J]. Psychiatry Res, 2003, 119(3): 251-260.
[15] EUSER A S, FRANKEN I H A. Alcohol affects the emotional modulation of cognitive control: an event-related brain potential study[J]. Psychopharmacology (Berl), 2012, 222(3): 459-476.
[16] CAMPOS-MELADY M, SMITH J E. Memory associations between negative emotions and alcohol on the lexical decision task predict alcohol use in women[J]. Addict Behav, 2012, 37(1): 60-66.
[17] BAKER T B, PIPER M E, MCCARTHY D E, et al. Addiction motivation reformulated: an affective processing model of negative reinforcement[J]. Psychol Rev, 2004, 111(1): 33-51.
[18] DVORAK R D, PEARSON M R, SARGENT E M, et al. Daily associations between emotional functioning and alcohol involvement: moderating effects of response inhibition and gender[J]. Drug Alcohol Depend, 2016, 163: S46-S53.
[19] LI Q, BABOR T F, HAO W, et al. The Chinese translations of Alcohol Use Disorders Identification Test (AUDIT) in China: a systematic review[J]. Alcohol Alcohol, 2011, 46(4): 416-423.
[20] KAUFMAN E A, XIA M Y, FOSCO G, et al. The Difficulties in Emotion Regulation Scale Short Form (DERS-SF): validation and replication in adolescent and adult samples[J]. J Psychopathol Behav Assess, 2016, 38(3): 443-455.
[21] WIECKI T V, SOFER I, FRANK M J. HDDM: hierarchical Bayesian estimation of the drift-diffusion model in Python[J]. Front Neuroinform, 2013, 7: 14.
[22] GOLD J I, SHADLEN M N. The neural basis of decision making[J]. Annu Rev Neurosci, 2007, 30: 535-574.
[23] FORSTMANN B U, ANWANDER A, SCH?FER A, et al. Cortico-striatal connections predict control over speed and accuracy in perceptual decision making[J]. Proc Natl Acad Sci USA, 2010, 107(36): 15916-15920.
[24] SMITH P L, RATCLIFF R. Psychology and neurobiology of simple decisions[J]. Trends Neurosci, 2004, 27(3): 161-168.
[25] ROSSEEL Y. lavaan: An R package for structural equation modeling[J]. J Stat Soft, 2012, 48(2): 1-36.
[26] 温忠麟, 张雷, 侯杰泰, 等. 中介效应检验程序及其应用[J]. 心理学报, 2004, 36(5): 614-620.
  WEN Z L, ZHANG L, HOU J T, et al. Testing and application of the mediating effects[J]. Acta Psychologica Sinica, 2004, 36(5): 614-620.
[27] MATHEWS A, MACLEOD C. Cognitive approaches to emotion and emotional disorders[J]. Annu Rev Psychol, 1994(45): 25-50.
[28] ?HMAN A, FLYKT A, ESTEVES F. Emotion drives attention: detecting the snake in the grass[J]. J Exp Psychol Gen, 2001, 130(3): 466-478.
[29] BAR-HAIM Y, LAMY D, PERGAMIN L, et al. Threat-related attentional bias in anxious and nonanxious individuals: a meta-analytic study[J]. Psychol Bull, 2007, 133(1): 1-24.
[30] ZELAZO P D, MORRIS I F, QU L, et al. Hot executive function: emotion and the development of cognitive control[M]//Child development at the intersection of emotion and cognition. 2nd ed. Washington: American Psychological Association, 2024: 51-73.
[31] MENNELLA R, VILAREM E, GRèZES J. Rapid approach-avoidance responses to emotional displays reflect value-based decisions: neural evidence from an EEG study[J]. Neuroimage, 2020, 222: 117253.
[32] GIVON E, ITZHAK-RAZ A, KARMON-PRESSER A, et al. How does the emotional experience evolve? Feeling generation as evidence accumulation[J]. Emotion, 2020, 20(2): 271-285.
[33] PICHON S, BEDIOU B, ANTICO L, et al. Emotion perception in habitual players of action video games[J]. Emotion, 2021, 21(6): 1324-1339.
[34] BARI A, XU S Y, PIGNATELLI M, et al. Differential attentional control mechanisms by two distinct noradrenergic coeruleo-frontal cortical pathways[J]. Proc Natl Acad Sci USA, 2020, 117(46): 29080-29089.
[35] EYSENCK M W, DERAKSHAN N, SANTOS R, et al. Anxiety and cognitive performance: attentional control theory[J]. Emotion, 2007, 7(2): 336-353.
[36] ANGELOPOULOU E, DRIGAS A. Working memory, attention and their relationship: a theoretical overview[J]. Res Soc Dev, 2021, 10(5): e46410515288.
[37] HERD T, KIM-SPOON J. A systematic review of associations between adverse peer experiences and emotion regulation in adolescence[J]. Clin Child Fam Psychol Rev, 2021, 24(1): 141-163.
[38] MCRAE K. Cognitive emotion regulation: a review of theory and scientific findings[J]. Curr Opin Behav Sci, 2016, 10: 119-124.
[39] HARE B D, DUMAN R S. Prefrontal cortex circuits in depression and anxiety: contribution of discrete neuronal populations and target regions[J]. Mol Psychiatry, 2020, 25(11): 2742-2758.
[40] LAI T T, GERICKE B, FEJA M, et al. Anxiety in synucleinopathies: neuronal circuitry, underlying pathomechanisms and current therapeutic strategies[J]. NPJ Parkinsons Dis, 2023, 9(1): 97.
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