Acute effects of alcohol on feedback processing and outcome evaluation during risky decision-making: an ERP study

Rationale: Although risky decision-making is one of the hallmarks of alcohol use disorders, relatively little is known about the acute psychopharmacological effects of alcohol on decision-making processes. Objective: The present study investigated the acute effects of alcohol on neural mechanisms underlying feedback processing and outcome evaluation during risky decision-making, using event-related brain potentials (ERPs). Methods: ERPs elicited by positive and negative feedback were recorded during performance of a modified version of the Balloon Analogue Risk Task in male participants receiving either a moderate dose of alcohol (0.65 g/kg alcohol; n = 32) or a non-alcoholic placebo beverage (n = 32). Results: Overall, there was no significant difference in the mean number of pumps between the alcohol and the placebo condition. However, when analyzing over time, it was found that the alcohol group made more riskier choices at the beginning of the task than the placebo group. ERPs demonstrated that alcohol consumption did not affect early processing of negative feedback, indexed by the feedback-related negativity. By contrast, alcohol-intoxicated individuals showed significantly reduced P300 amplitudes in response to negative feedback as compared to sober controls, suggesting that more elaborate evaluation to losses was significantly diminished. Conclusions: These results suggest that alcohol consumption does not influence the ability to rapidly evaluate feedback valence, but rather the ability to assign sufficient attention to further process motivationally salient outcomes. Blunted P300 amplitudes may reflect poor integration of feedback across trials, particularly adverse ones. Consequently, alcohol may keep people from effectively predicting the probability of future gains and losses based on their reinforcement history

Status quo of annotation of human disease variants

Contains fulltext : 126271.pdf (publisher's version ) (Open Access)BACKGROUND: The ever on-going technical developments in Next Generation Sequencing have led to an increase in detected disease related mutations. Many bioinformatics approaches exist to analyse these variants, and of those the methods that use 3D structure information generally outperform those that do not use this information. 3D structure information today is available for about twenty percent of the human exome, and homology modelling can double that fraction. This percentage is rapidly increasing so that we can expect to analyse the majority of all human exome variants in the near future using protein structure information. RESULTS: We collected a test dataset of well-described mutations in proteins for which 3D-structure information is available. This test dataset was used to analyse the possibilities and the limitations of methods based on sequence information alone, hybrid methods, machine learning based methods, and structure based methods. CONCLUSIONS: Our analysis shows that the use of structural features improves the classification of mutations. This study suggests strategies for future analyses of disease causing mutations, and it suggests which bioinformatics approaches should be developed to make progress in this field

Attentional Bias and Approach/Avoidance Tendencies Do Not Predict Relapse or Time to Relapse in Alcohol Dependency

Background Implicit processes such as attentional bias (AB) and automatic approach/avoidance tendencies (AA) play a role in substance use disorders. Whether these processes can predict a relapse in alcohol-dependent patients is still unclear and must be examined in more detail than has been done previously. We aimed to establish whether AB and AA measured during treatment would predict relapse in alcohol-dependent patients. We also investigated whether these implicit processes predicted time to relapse better than a more common binary relapse variable. Methods A total of 50 alcohol-dependent outpatients undergoing treatment completed the study. Patients completed the Addiction Stroop Task, which assesses AB, and the relevant Stimulus–Response Compatibility Task, which measures AA. Time to relapse was assessed 1, 2, and 3 months after the bias assessment. Results Twenty patients (40%) relapsed during the follow-up period. The average time to relapse was 40 days after the first session. Overall, participants had an AB for alcohol-related stimuli and a tendency to avoid these stimuli. Neither relapse nor time to relapse was predicted by either bias type. Conclusions Although both AB and avoidance tendencies were present in our sample, these measures did not predict relapse or time to relapse in an outpatient alcohol-dependent sample in the following 3 months. Future research should focus on studying the predictive value of these biases in the short term, for example, using ecological momentary assessment techniques to assess implicit processes shortly before a relapse

The relationship between perceived stress and cue sensitivity for alcohol.

Previous research has shown that cue sensitivity and stress affect the risk for relapse in alcohol-dependent patients. Theoretically, a link between the two can be expected. However, a clear overview of the interplay of these factors is not yet available. The purpose of this review was to examine the empirical evidence for the influence of stress on sensitivity for alcohol-related cues. Empirical studies indexed in PubMed, EMBASE, PsycINFO, and Web of Knowledge that assessed the relation between stress and sensitivity for alcohol-related cues using subjective, behavioral and/or physiological measures were included in the review. Of the 359 articles screened, 12 were included in the review. Nine articles supported the existence of the relationship between stress and heightened cue sensitivity for alcohol-related cues, whereas three articles did not support our hypothesis. We conclude that the relationship between stress and sensitivity to alcohol cues appears to exist. In fact, there may be different factors at play: our review points toward (1) differences between the effect of psychological stress and physiological stress on cue-sensitivity, and (2) individual differences regarding coping drinking which may explain stress-induced cues sensitivity. (aut. ref.

Associations between dispositional mindfulness, craving, and drinking in alcohol-dependent patients: An ecological momentary assessment study

Hazardous alcohol use remains a significant global public health problem. A better understanding of relapse may assist the development of new interventions. Low levels of dispositional mindfulness may be a risk factor for craving and alcohol use, but few studies have examined these associations prospectively in an alcohol-dependent sample. In an ecological momentary assessment (EMA) study, Dutch alcohol dependent patients (N = 43) carried around a personal digital assistant for 4 weeks while trying to maintain abstinence. Participants completed assessments at random times 3 times per day, and when they felt a strong urge to drink or came to the brink of drinking without doing so. At each assessment, stress, negative affect, craving, recent drinking, and attentional or approach bias were assessed. Dispositional mindfulness was assessed at baseline with the Mindful Attention Awareness Scale (MAAS). More mindful individuals (higher MAAS scores) reported lower craving than less mindful individuals. There was no evidence that stress, negative affect, attentional bias, or approach bias mediated the association between MAAS and craving. However, there was evidence for an indirect path from MAAS to drinking such that higher mindfulness was associated with lower craving ratings that in turn were associated with less drinking. There was no evidence that MAAS significantly moderated associations between stress/negative affect/cognitive biases and craving, or between craving and drinking. In sum, more mindful recovering alcohol dependent patients reported lower craving ratings than less mindful patients, and this association appeared to be independent of stress/negative affect and cognitive biases