Do Social Cognition Deficits Recover with Abstinence in Alcohol‐Dependent Patients?

Rupp, Claudia I.; Junker, David; Kemmler, Georg; Mangweth‐Matzek, Barbara; Derntl, Birgit

doi:10.1111/acer.14537

Cited by 12 publications

(15 citation statements)

References 54 publications

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“… Notes : Numbers refers to the study that did, or did not, found an association or effect (<.05) of the specific factor on neurocognitive recovery: 1 49 , 2 39 , 3 15 , 4 43 5 45 , 6 37 , 7 47 , 8 46 , 9 34 , 10 38 , 11 32 , 12 52 , 13 40 , 14 53 , 15 17 , 16 94 , 17 44 , 18 96 , (no factors), 19 48 , 20 28 , 21 31 , 22 35 , 23 51 , 24 95 , (no factors), 25 12 , 26 33 , 27 97 , 28 29 , 29 42 , 30 36 , 31 41 . Indication of level of evidence according to Oxford Classification for Evidence Based Medicine (OCEBM), varying from 1 (very strong) to 5 (very weak): a Level 2, b Level 3, c Level 4.…”

Section: Resultsmentioning

confidence: 99%

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Neurocognitive Recovery in Abstinent Patients with Alcohol Use Disorder: A Scoping Review for Associated Factors

Staudt,

Kok,

de Haan

et al. 2023

NDT

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Objective Studies have reported inconsistent results regarding the extent to which neurocognitive recovery occurs in abstinent patients with alcohol use disorder (AUD). In addition to abstinence, other factors may have influenced this process and contributed to the inconsistencies. This review examines the factors investigated in this regard and describes the possible influence of each factor based on the evidence collected. Methodology PubMed was systematically searched for articles published between January 2000 and July 2023. Longitudinal humane studies investigating neurocognitive recovery in abstinent adult AUD patients were included. Studies with a cross-sectional design were excluded, as were studies that did not classify AUD according to the DSM-IV or 5 criteria, only examined binge use, did not report neuropsychological outcomes or duration of abstinence, or where neurological disorders were present. Results Sixteen categories of factors were distinguished from 31 full-text articles. Consistent patterns were found, indicating an association between neurocognitive recovery and the “smoking” and ‘brain volume” factors. Consistent patterns were also found indicating that there is no relationship with “quantities of alcohol used” and “education level.” A similar consistent pattern was also found for “polysubstance use”, “gender” and “verbal reading”, but the number of studies is considered limited. The association with “age” is studied frequently but with inconsistent findings. The remaining eight factors were regarded as understudied. Conclusion The clearest patterns emerging from the evidence are a predominantly negative influence of smoking on neurocognitive recovery, associations between changes in brain area volume and neurocognitive recovery, and no association between neurocognitive recovery and the amount of alcohol consumed, as measured by self-report, nor with educational attainment. Future research on the understudied factors and factors with inconsistent evidence is needed, preferably through longitudinal designs with multiple assessment periods starting after at least two weeks of abstinence.

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Section: Resultsmentioning

confidence: 99%

“… 41 The abstinence duration periods ranged from 1 day 39 up to 48 months, 15 with most studies using abstinence periods within one year (8/11 studies). 18 , 28 , 34 , 36 , 38 , 40 , 41 Other studies have investigated neurocognitive recovery during abstinence periods up to 48 months. 15 , 37 , 39 …”

Section: Resultsmentioning

confidence: 99%

Neurocognitive Recovery in Abstinent Patients with Alcohol Use Disorder: A Scoping Review for Associated Factors

Staudt,

Kok,

de Haan

et al. 2023

NDT

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“…Alcohol consumption is indeed sometimes used as a coping strategy to regulate emotional states and altered interpersonal relationships 37,38 . In addition, a recent study showed that social cognition deficits, including emotion recognition and affective responsiveness, did not spontaneously recover during the first months of abstinence 39 . Taken together, these findings highlight the relevance of developing therapeutic interventions to manage emotional deficits and ultimately reduce the risk of relapse.…”

Section: Discussionmentioning

confidence: 99%

Prognostic factors for low‐risk drinking and relapse in alcohol use disorder: A multimodal analysis

et al. 2022

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This study aims to specify the determinants of low‐risk alcohol drinking and relapse at different time points after detoxification in patients with severe alcohol use disorder (AUD). Fifty‐four patients with AUD and 36 healthy controls (HC) were evaluated early in abstinence (T1). They underwent clinical, neuropsychological and neuroimaging (structural MRI and 18FDG‐PET) investigations. Patients with AUD were subsequently classified as “low‐risk drinkers” (LR) or “relapsers” (R) based on their alcohol drinking at 6 months (T2) and 1 year (T3) after discharge, using their medical record or self‐reported drinking estimation at follow‐up. Based on the alcohol status at T2 and compared with HC, only R had alexithymia, lower grey matter volume in the midbrain and hypermetabolism in the cerebellum and hippocampi. Based on the alcohol status at T3 and compared with HC, only R had more severe nicotinic dependence, lower episodic and working memory performance, lower grey matter volume in the amygdala, ventromedial prefrontal cortex and anterior cingulate gyrus and hypermetabolism in cerebellum, hippocampi and anterior cingulate gyrus. Moreover, R had bilateral frontal hypometabolism, whereas LR only presented right frontal hypometabolism. Nicotine dependence, memory impairments and structural brain abnormalities in regions involved in impulsivity and decision‐making might contribute to a 1‐year relapse. Treatment outcome at 1 year may also be associated with an imbalance between a hypermetabolism of the limbic system and a hypometabolism of the frontal executive system. Finally, cerebellar hypermetabolism and alexithymia may be determinants of relapse at both 6 months and 1 year.

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“…Previous research demonstrates associations between substance or alcohol use disorder and deficits in facial emotion recognition (Castellano et al 2015 ). Furthermore, these deficits may persist over time, despite abstinence (Rupp et al 2021 ). While facial emotion recognition accuracy has been evaluated among individuals with psychoactive substance dependence, this has not yet been examined within AAS dependence.…”

Section: Introductionmentioning

confidence: 99%

Supraphysiological testosterone levels from anabolic steroid use and reduced sensitivity to negative facial expressions in men

Scarth,

Hauger,

Thorsby

et al. 2023

Psychopharmacology

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Rationale Anabolic-androgenic steroids (AAS) are used to improve physical performance and appearance, but have been associated with deficits in social cognitive functioning. Approximately 30% of people who use AAS develop a dependence, increasing the risk for undesired effects. Objectives To assess the relationship between AAS use (current/previous), AAS dependence, and the ability to recognize emotional facial expressions, and investigate the potential mediating role of hormone levels. Methods In total 156 male weightlifters, including those with current (n = 45) or previous (n = 34) AAS use and never-using controls (n = 77), completed a facial Emotion Recognition Task (ERT). Participants were presented with faces expressing one out of six emotions (sadness, happiness, fear, anger, disgust, and surprise) and were instructed to indicate which of the six emotions each face displayed. ERT accuracy and response time were recorded and evaluated for association with AAS use status, AAS dependence, and serum reproductive hormone levels. Mediation models were used to evaluate the mediating role of androgens in the relationship between AAS use and ERT performance. Results Compared to never-using controls, men currently using AAS exhibited lower recognition accuracy for facial emotional expressions, particularly anger (Cohen’s d = −0.57, pFDR = 0.03) and disgust (d = −0.51, pFDR = 0.05). Those with AAS dependence (n = 47) demonstrated worse recognition of fear relative to men without dependence (d = 0.58, p = 0.03). Recognition of disgust was negatively correlated with serum free testosterone index (FTI); however, FTI did not significantly mediate the association between AAS use and recognition of disgust. Conclusions Our findings demonstrate impaired facial emotion recognition among men currently using AAS compared to controls. While further studies are needed to investigate potential mechanisms, our analysis did not support a simple mediation effect of serum FTI.

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Do Social Cognition Deficits Recover with Abstinence in Alcohol‐Dependent Patients?

Cited by 12 publications

References 54 publications

Neurocognitive Recovery in Abstinent Patients with Alcohol Use Disorder: A Scoping Review for Associated Factors

Neurocognitive Recovery in Abstinent Patients with Alcohol Use Disorder: A Scoping Review for Associated Factors

Prognostic factors for low‐risk drinking and relapse in alcohol use disorder: A multimodal analysis

Supraphysiological testosterone levels from anabolic steroid use and reduced sensitivity to negative facial expressions in men

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