46 research outputs found

    Effects of a brief mindfulness meditation practice on Pavlovian-to-instrumental transfer in alcohol use disorder – a pilot study

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    IntroductionPavlovian conditioned contextual cues have been suggested to modulate instrumental action and might explain maladaptive behavior such as relapse in participants suffering from alcohol use disorder (AUD). Pavlovian-to-Instrumental transfer (PIT) experimentally assesses the magnitude of this context-dependent effect and studies have shown a larger PIT effect in AUD populations. Taken this into account, a reduction of the influence of cues on behavior seems warranted and one approach that could alter such cue reactivity is mindfulness. Mindfulness-based interventions have been shown to be efficient in the treatment of AUD, but underlying mechanisms are yet to be elucidated. Therefore, we aim at investigating the effect of a brief mindful body scan meditation on the magnitude of the PIT effect in AUD subjects and matched controls.MethodsUsing a randomized within-subjects design, we compared the effect of a short audio guided body scan meditation against a control condition (audio of nature sounds) on PIT in healthy (n = 35) and AUD (n = 27) participants.ResultsWe found no differences in PIT effect between healthy and AUD participants as well as between conditions. However, a significant interaction effect points to a decreased PIT effect after body scan meditation in AUD subjects only.DiscussionThese pilot results suggest that AUD might be susceptible to mindfulness-induced changes in PIT, with these findings contributing to entangling the underlying mechanisms of the efficacy of mindfulness-based interventions in AUD. However, further investigation should confirm these preliminary results and the efficacy of mindfulness meditation practice in decreasing the PIT effect

    Students in the Sex Industry: Motivations, Feelings, Risks, and Judgments

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    Student sex work is a current phenomenon all over the world, increasingly reported by the media in recent years. However, student sex work remains under-researched in Germany and is lacking direct first-hand reports from the people involved. Further, sex work remains stigmatized, and therefore, students practicing it could be at risk of social isolation and emotional or physical danger. Therefore, this study examines students working in the sex industry focusing on their personal experiences and attitudes toward them. An online questionnaire was completed by 4386 students from Berlin universities. Students who identified themselves as sex workers (n = 227) were questioned with respect to their motivations to enter the sex industry, characteristics of their job, feelings after the intercourse, and perceived risks. Student non-sex workers (n = 2998) were questioned regarding knowledge of and attitudes toward student sex workers. Most student sex workers reported that they entered the sex industry due to financial reasons (35.7%). The majority reported offering services involving direct sexual intercourse. Disclosing their job to friends, family, or others was associated with less problems with social isolation and in romantic relationships. With a total of 22.9%, student non-sex workers reported never having heard about students working in the sex industry. The most frequent emotions mentioned by them with regard to student sex workers were compassion and dismay (48.9%). There was no difference in happiness between student sex workers and non-sex working students. Through this research, it becomes evident that there are similarities between the student's motivations to enter the sex industry, their feelings, and the problems they have to face. Moreover, prejudices still prevail about the life of student sex workers. Increasing understanding of student sex work might help those sex workers to live a less stigmatized life and thereby to make use of support from others. The universities as institutions could form the basis for this, e.g., by openly supporting student sex workers. This could help to encourage the rights of student sex workers and to gain perspective with respect to the sex industry

    Mindfulness in Treatment Approaches for Addiction — Underlying Mechanisms and Future Directions

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    Purpose of Review: While the treatment of addictive disorders proves to be challenging, new treatment approaches that evolved around the concepts of mindfulness and acceptance have been utilized and investigated in recent years. Our goal is to summarize the efficacy and possible underlying mechanisms of mindfulness-based interventions (MBI) in addictive disorders. Recent Findings: Various meta-analyses have suggested that MBIs show clinical efficacy in the treatment of addictive disorders. Considering the factors that impact addictive disorders, MBIs have been indicated to augment responsiveness to natural rewards in contrast to addiction-related cues as well as to increase top-down cognitive control, decrease subjective and physiological stress perception, and enhance positive affect. Summary: In summary, MBIs hold promise in treating addictive disorders while larger randomized controlled trials with longitudinal study designs are needed to confirm their utility. Newest clinical endeavors strive to enhance the clinical utility of MBIs by augmentation or personalization

    Neural correlates of RDoC-specific cognitive processes in a high-functional autistic patient: a statistically validated case report

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    The level of functioning of individuals with autism spectrum disorder (ASD) varies widely. To better understand the neurobiological mechanism associated with high-functioning ASD, we studied the rare case of a female patient with an exceptional professional career in the highly competitive academic field of Mathematics. According to the Research Domain Criteria (RDoC) approach, which proposes to describe the basic dimensions of functioning by integrating different levels of information, we conducted four fMRI experiments targeting the (1) social processes domain (Theory of mind (ToM) and face matching), (2) positive valence domain (reward processing), and (3) cognitive domain (N-back). Patient's data were compared to data of 14 healthy controls (HC). Additionally, we assessed the subjective experience of our case during the experiments. The patient showed increased response times during face matching and achieved a higher total gain in the Reward task, whereas her performance in N-back and ToM was similar to HC. Her brain function differed mainly in the positive valence and cognitive domains. During reward processing, she showed reduced activity in a left-hemispheric frontal network and cortical midline structures but increased connectivity within this network. During the working memory task patients' brain activity and connectivity in left-hemispheric temporo-frontal regions were elevated. In the ToM task, activity in posterior cingulate cortex and temporo-parietal junction was reduced. We suggest that the high level of functioning in our patient is rather related to the effects in brain connectivity than to local cortical information processing and that subjective report provides a fruitful framework for interpretation

    Substance Use and Prevention Programs in Berlin's Party Scene: Results of the SuPrA-Study

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    Background: Berlin is internationally known for its nightlife. In a nation-wide and Europe-wide comparison, the use of legal and illegal substances is comparatively higher in Berlin than in other similar cities. However, few data exist about the drug use in the party scene. Objective: This study aims to assess the sociodemographic characteristics of Berlin's party scene and its patterns of substance use as well as expectations towards prevention in order to derive appropriate preventive measures. Methods: Using questionnaires, both online (n = 674) and in the field (n = 203), a total of 877 people of the Berlin party scene were interviewed. The questionnaires ascertained the demographic information of the participants and patterns of substance use in the scene. It also collected the demand for consulting services and personal assessments on the usefulness of prospective and existing prevention programs and offers. Results: The study participants were 29 years old (SD 7.5); 43% were female. Alcohol is the most common substance in the party scene, followed by cannabis, MDMA/Ecstasy, amphetamine, cocaine, and ketamine. In this particular cohort, methamphetamine and legal highs did not play a major role. The most demanded preventive measure was more education about drugs and the so called drug-checking. Conclusions: Prevention in this area is both needed and requested, and an expansion of the existing programs (e.g., by so far politically controversial drug-checking) should be considered

    Neural correlates of cue‐induced changes in decision‐making distinguish subjects with gambling disorder from healthy controls

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    In addiction, there are few human studies on the neural basis of cue-induced changes in value-based decision making (Pavlovian-to-instrumental transfer, PIT). It is especially unclear whether neural alterations related to PIT are due to the physiological effects of substance abuse or rather related to learning processes and/or other etiological factors related to addiction. We have thus investigated whether neural activation patterns during a PIT task help to distinguish subjects with gambling disorder (GD), a nonsubstance-based addiction, from healthy controls (HCs). Thirty GD and 30 HC subjects completed an affective decision-making task in a functional magnetic resonance imaging (fMRI) scanner. Gambling-associated and other emotional cues were shown in the background during the task. Data collection and feature modeling focused on a network of nucleus accumbens (NAcc), amygdala, and orbitofrontal cortex (OFC) (derived from PIT and substance use disorder [SUD] studies). We built and tested a linear classifier based on these multivariate neural PIT signatures. GD subjects showed stronger PIT than HC subjects. Classification based on neural PIT signatures yielded a significant area under the receiver operating curve (AUC-ROC) (0.70,p= 0.013). GD subjects showed stronger PIT-related functional connectivity between NAcc and amygdala elicited by gambling cues, as well as between amygdala and OFC elicited by negative and positive cues. HC and GD subjects were thus distinguishable by PIT-related neural signatures including amygdala-NAcc-OFC functional connectivity. Neural PIT alterations in addictive disorders might not depend on the physiological effect of a substance of abuse but on related learning processes or even innate neural traits

    Cue‐induced effects on decision‐making distinguish subjects with gambling disorder from healthy controls

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    While an increased impact of cues on decision‐making has been associated with substance dependence, it is yet unclear whether this is also a phenotype of non‐substance‐related addictive disorders, such as gambling disorder (GD). To better understand the basic mechanisms of impaired decision‐making in addiction, we investigated whether cue‐induced changes in decision‐making could distinguish GD from healthy control (HC) subjects. We expected that cue‐induced changes in gamble acceptance and specifically in loss aversion would distinguish GD from HC subjects. Thirty GD subjects and 30 matched HC subjects completed a mixed gambles task where gambling and other emotional cues were shown in the background. We used machine learning to carve out the importance of cue dependency of decision‐making and of loss aversion for distinguishing GD from HC subjects. Cross‐validated classification yielded an area under the receiver operating curve (AUC‐ROC) of 68.9% (p = .002). Applying the classifier to an independent sample yielded an AUC‐ROC of 65.0% (p = .047). As expected, the classifier used cue‐induced changes in gamble acceptance to distinguish GD from HC. Especially, increased gambling during the presentation of gambling cues characterized GD subjects. However, cue‐induced changes in loss aversion were irrelevant for distinguishing GD from HC subjects. To our knowledge, this is the first study to investigate the classificatory power of addiction‐relevant behavioral task parameters when distinguishing GD from HC subjects. The results indicate that cue‐induced changes in decision‐making are a characteristic feature of addictive disorders, independent of a substance of abuseDFG, 103586207, GRK 1589: Sensory Computation in Neural System

    Addiction Research Consortium: Losing and regaining control over drug intake (ReCoDe)—From trajectories to mechanisms and interventions

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    One of the major risk factors for global death and disability is alcohol, tobacco, and illicit drug use. While there is increasing knowledge with respect to individual factors promoting the initiation and maintenance of substance use disorders (SUDs), disease trajectories involved in losing and regaining control over drug intake (ReCoDe) are still not well described. Our newly formed German Collaborative Research Centre (CRC) on ReCoDe has an interdisciplinary approach funded by the German Research Foundation (DFG) with a 12-year perspective. The main goals of our research consortium are (i) to identify triggers and modifying factors that longitudinally modulate the trajectories of losing and regaining control over drug consumption in real life, (ii) to study underlying behavioral, cognitive, and neurobiological mechanisms, and (iii) to implicate mechanism-based interventions. These goals will be achieved by: (i) using mobile health (m-health) tools to longitudinally monitor the effects of triggers (drug cues, stressors, and priming doses) and modify factors (eg, age, gender, physical activity, and cognitive control) on drug consumption patterns in real-life conditions and in animal models of addiction; (ii) the identification and computational modeling of key mechanisms mediating the effects of such triggers and modifying factors on goal-directed, habitual, and compulsive aspects of behavior from human studies and animal models; and (iii) developing and testing interventions that specifically target the underlying mechanisms for regaining control over drug intake

    Patterns of Alcohol Consumption Among Individuals With Alcohol Use Disorder During the COVID-19 Pandemic and Lockdowns in Germany

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    Importance Alcohol consumption (AC) leads to death and disability worldwide. Ongoing discussions on potential negative effects of the COVID-19 pandemic on AC need to be informed by real-world evidence. Objective To examine whether lockdown measures are associated with AC and consumption-related temporal and psychological within-person mechanisms. Design, Setting, and Participants This quantitative, intensive, longitudinal cohort study recruited 1743 participants from 3 sites from February 20, 2020, to February 28, 2021. Data were provided before and within the second lockdown of the COVID-19 pandemic in Germany: before lockdown (October 2 to November 1, 2020); light lockdown (November 2 to December 15, 2020); and hard lockdown (December 16, 2020, to February 28, 2021). Main Outcomes and Measures Daily ratings of AC (main outcome) captured during 3 lockdown phases (main variable) and temporal (weekends and holidays) and psychological (social isolation and drinking intention) correlates. Results Of the 1743 screened participants, 189 (119 [63.0%] male; median [IQR] age, 37 [27.5-52.0] years) with at least 2 alcohol use disorder (AUD) criteria according to the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) yet without the need for medically supervised alcohol withdrawal were included. These individuals provided 14 694 smartphone ratings from October 2020 through February 2021. Multilevel modeling revealed significantly higher AC (grams of alcohol per day) on weekend days vs weekdays (β = 11.39; 95% CI, 10.00-12.77; P < .001). Alcohol consumption was above the overall average on Christmas (β = 26.82; 95% CI, 21.87-31.77; P < .001) and New Year’s Eve (β = 66.88; 95% CI, 59.22-74.54; P < .001). During the hard lockdown, perceived social isolation was significantly higher (β = 0.12; 95% CI, 0.06-0.15; P < .001), but AC was significantly lower (β = −5.45; 95% CI, −8.00 to −2.90; P = .001). Independent of lockdown, intention to drink less alcohol was associated with lower AC (β = −11.10; 95% CI, −13.63 to −8.58; P < .001). Notably, differences in AC between weekend and weekdays decreased both during the hard lockdown (β = −6.14; 95% CI, −9.96 to −2.31; P = .002) and in participants with severe AUD (β = −6.26; 95% CI, −10.18 to −2.34; P = .002). Conclusions and Relevance This 5-month cohort study found no immediate negative associations of lockdown measures with overall AC. Rather, weekend-weekday and holiday AC patterns exceeded lockdown effects. Differences in AC between weekend days and weekdays evinced that weekend drinking cycles decreased as a function of AUD severity and lockdown measures, indicating a potential mechanism of losing and regaining control. This finding suggests that temporal patterns and drinking intention constitute promising targets for prevention and intervention, even in high-risk individuals

    Genetic architecture of subcortical brain structures in 38,851 individuals

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    Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease
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