Relations Among Anhedonia, Reinforcement Learning, and Global Functioning in Help-seeking Youth.
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ABSTRACT:
SUBMITTER: Akouri-Shan L
PROVIDER: S-EPMC8530392 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundDepression is characterised partly by blunted reactions to reward. However, tasks probing this deficiency have not distinguished insensitivity to reward from insensitivity to the prediction errors for reward that determine learning and are putatively reported by the phasic activity of dopamine neurons. We attempted to disentangle these factors with respect to anhedonia in the context of stress, Major Depressive Disorder (MDD), Bipolar Disorder (BPD) and a dopaminergic challenge.MethodsSix behavioural datasets involving 392 experimental sessions were subjected to a model-based, Bayesian meta-analysis. Participants across all six studies performed a probabilistic reward task that used an asymmetric reinforcement schedule to assess reward learning. Healthy controls were tested under baseline conditions, stress or after receiving the dopamine D2 agonist pramipexole. In addition, participants with current or past MDD or BPD were evaluated. Reinforcement learning models isolated the contributions of variation in reward sensitivity and learning rate.ResultsMDD and anhedonia reduced reward sensitivity more than they affected the learning rate, while a low dose of the dopamine D2 agonist pramipexole showed the opposite pattern. Stress led to a pattern consistent with a mixed effect on reward sensitivity and learning rate.ConclusionReward-related learning reflected at least two partially separable contributions. The first related to phasic prediction error signalling, and was preferentially modulated by a low dose of the dopamine agonist pramipexole. The second related directly to reward sensitivity, and was preferentially reduced in MDD and anhedonia. Stress altered both components. Collectively, these findings highlight the contribution of model-based reinforcement learning meta-analysis for dissecting anhedonic behavior.
| S-EPMC3701611 | biostudies-literature
Project description:Humans and other animals are capable of inferring never-experienced relations (for example, A > C) from other relational observations (for example, A > B and B > C). The processes behind such transitive inference are subject to intense research. Here we demonstrate a new aspect of relational learning, building on previous evidence that transitive inference can be accomplished through simple reinforcement learning mechanisms. We show in simulations that inference of novel relations benefits from an asymmetric learning policy, where observers update only their belief about the winner (or loser) in a pair. Across four experiments (n = 145), we find substantial empirical support for such asymmetries in inferential learning. The learning policy favoured by our simulations and experiments gives rise to a compression of values that is routinely observed in psychophysics and behavioural economics. In other words, a seemingly biased learning strategy that yields well-known cognitive distortions can be beneficial for transitive inferential judgements.
| S-EPMC9038534 | biostudies-literature
Project description:BackgroundAnhedonia (a reduced experience of pleasure) and avolition (a reduction in goal-directed activity) are common features of schizophrenia that have substantial effects on functional outcome, but are poorly understood and treated. Here, we examined whether alterations in reinforcement learning may contribute to these symptoms in schizophrenia by impairing the translation of reward information into goal-directed action.Methods38 stable outpatients with schizophrenia or schizoaffective disorder and 37 healthy controls underwent fMRI during a probabilistic stimulus selection reinforcement learning task with dissociated choice- and feedback-related activation, followed by a behavioral transfer task allowing separate assessment of learning from positive versus negative outcomes. A Q-learning algorithm was used to examine functional activation relating to prediction error at the time of feedback and to expected value at the time of choice.ResultsBehavioral results suggested a reduction in learning from positive feedback in patients; however, this reduction was unrelated to anhedonia/avolition severity. On fMRI analysis, prediction error-related activation at the time of feedback was highly similar between patients and controls. During early learning, patients activated regions in the cognitive control network to a lesser extent than controls. Correlation analyses revealed reduced responses to positive feedback in dorsolateral prefrontal cortex and caudate among those patients higher in anhedonia/avolition.ConclusionsTogether, these results suggest that anhedonia/avolition are as strongly related to cortical learning or higher-level processes involved in goal-directed behavior such as effort computation and planning as to striatally mediated learning mechanisms.
| S-EPMC5098503 | biostudies-literature
Project description:We use both reinforcement learning and deep learning to simultaneously extract entities and relations from unstructured texts. For reinforcement learning, we model the task as a two-step decision process. Deep learning is used to automatically capture the most important information from unstructured texts, which represent the state in the decision process. By designing the reward function per step, our proposed method can pass the information of entity extraction to relation extraction and obtain feedback in order to extract entities and relations simultaneously. Firstly, we use bidirectional LSTM to model the context information, which realizes preliminary entity extraction. On the basis of the extraction results, attention based method can represent the sentences that include target entity pair to generate the initial state in the decision process. Then we use Tree-LSTM to represent relation mentions to generate the transition state in the decision process. Finally, we employ Q-Learning algorithm to get control policy ? in the two-step decision process. Experiments on ACE2005 demonstrate that our method attains better performance than the state-of-the-art method and gets a 2.4% increase in recall-score.
| S-EPMC5574273 | biostudies-literature
Project description:A growing literature suggests that anhedonia-an affective dimension related to the inability to experience pleasure-is associated with poor smoking cessation outcomes. Despite these findings, research of the motivational mechanisms linking anhedonia and smoking has been limited. Accordingly, the present study examined (a) relationships between anhedonia and motivationally relevant smoking characteristics and (b) whether anhedonia moderated the effects of tobacco deprivation on appetitive and aversive aspects of smoking urges.Smokers (N = 212; >or=5 cigarettes/day) first attended a baseline session during which measures of anhedonia and smoking characteristics were completed. Prior to a subsequent experimental session, a portion of participants were randomized to one of two groups: (a) 12-hr tobacco deprivation before the session (n = 51) and (b) ad libitum smoking (n = 69).Smokers with higher levels of anhedonia reported a greater number of past failed quit attempts and a higher proportion of quit attempts that ended in rapid relapse within 24 hr, rs > .20, ps < .05. Anhedonia did not consistently correlate with smoking heaviness, chronicity, and dependence motives. Anhedonia significantly moderated the influence of tobacco deprivation on appetitive smoking urges, such that deprivation effects on appetitive urges were stronger in high anhedonia smokers (beta = .64) than in low anhedonia smokers (beta = .23). Anhedonia did not moderate deprivation effects on aversive smoking urges. This pattern of results remained robust when controlling for baseline negative affect.These findings elucidate anhedonia's link with smoking relapse and could be useful for developing cessation interventions for anhedonic smokers.
| S-EPMC2725007 | biostudies-other
Project description:Early identification efforts for psychosis have thus far yielded many more individuals "at risk" than actually develop psychotic illness. Here, we test whether measures of reinforcement learning (RL), known to be impaired in chronic schizophrenia, are related to the severity of clinical risk symptoms. Because of the reliance of RL on dopamine-rich frontostriatal systems and evidence of dopamine system dysfunction in the psychosis prodrome, RL measures are of specific interest in this clinical population. The current study examines relationships between psychosis risk symptoms and RL task performance in a sample of adolescents and young adults (n = 70) receiving mental health services. We observed significant correlations between multiple measures of RL performance and measures of both positive and negative symptoms. These results suggest that RL measures may provide a psychosis risk signal in treatment-seeking youth. Further research is necessary to understand the potential predictive role of RL measures for conversion to psychosis.
| S-EPMC5483992 | biostudies-literature
Project description:Language and executive functioning are major impairments in many neurodevelopmental disorders, but little is known about the relations between these constructs, particularly using parent-report. Thus, the current research sought to examine relations between executive function and language in two groups - Down syndrome (DS; n=41; Mage = 11.2) and autism spectrum disorder (ASD; n=91; Mage = 7.7). Results were as follows: in DS, executive function predicted pragmatic, but not structural language after covarying for age, sex, and social functioning; in ASD, executive function predicted both. Findings highlight the interrelatedness of language and executive functioning and may have implications for intervention development.
| S-EPMC7549751 | biostudies-literature
Project description:Reinforcement learning is a fundamental mechanism displayed by many species. However, adaptive behaviour depends not only on learning about actions and outcomes that affect ourselves, but also those that affect others. Using computational reinforcement learning models, we tested whether young (age 18-36) and older (age 60-80, total n = 152) adults learn to gain rewards for themselves, another person (prosocial), or neither individual (control). Detailed model comparison showed that a model with separate learning rates for each recipient best explained behaviour. Young adults learned faster when their actions benefitted themselves, compared to others. Compared to young adults, older adults showed reduced self-relevant learning rates but preserved prosocial learning. Moreover, levels of subclinical self-reported psychopathic traits (including lack of concern for others) were lower in older adults and the core affective-interpersonal component of this measure negatively correlated with prosocial learning. These findings suggest learning to benefit others is preserved across the lifespan with implications for reinforcement learning and theories of healthy ageing.
| S-EPMC8295324 | biostudies-literature
Project description:BackgroundTransition-aged youth are particularly vulnerable to mental health problems, yet they are one of the least likely demographic groups to seek help.ObjectiveThe aim of this study is to explore the influences on and patterns in help-seeking for mental health concerns among transition-aged youth who attend postsecondary schools in Canada.MethodsA qualitative research design was used, involving 12 semistructured focus groups with transition-aged youth (17-29 years) who attended postsecondary schools in Canada. A thematic analysis was conducted to code the transcripts and develop themes.ResultsFour main themes and subthemes regarding the process and experience of help-seeking were generated: (1) the influence of formal service providers (accessibility and experiences), (2) the influence of social factors (system navigation and stigma), (3) the influence of health literacy (symptom recognition, acting on symptoms, digital tools and the internet, and mental health awareness campaigns), and (4) the influence of low-intensity sources of support, namely, self-help.ConclusionsTransition-aged youth seek help for mental health problems in different ways. Despite efforts to improve access to mental health services, transition-aged youth continue to face barriers to accessing these services, especially formal sources of support. The factors identified in this study that either hinder or facilitate help-seeking have pragmatic implications for developing help-seeking interventions and delivering mental health services for this population. In addition to other facilitators, family physicians are an important resource in the help-seeking process. Furthermore, digital help-seeking tools have unique characteristics that may make them an important source of support for transition-aged youth.
| S-EPMC7573698 | biostudies-literature
Project description:BackgroundAlthough early intervention is crucial in interrupting the development of eating disorders, little is currently known about help-seeking behaviours among individuals experiencing eating disorder symptoms. Given that eating disorders typically begin early in life, it is necessary to investigate the processes employed by children, adolescents, and emerging adults when seeking services for troubling symptoms. This is a growing concern as the COVID-19 pandemic has resulted in an increase in the number of individuals engaging in disordered eating behaviours. This scoping review explores the current state of the literature for evidence on how youth with eating disorder symptoms seek help, with the aim of better understanding how to identify and treat more individuals earlier.MethodsUsing scoping review methodology, we searched seven databases for studies published from January 2000 to April 2021 that reported on help-seeking attitudes, behaviours, and healthcare utilization patterns for children and adolescents (< 18 years), emerging adults (18-25 years), and a mixture of these groups (< 25 years). Seven thousand, two hundred, and eighteen articles were identified for review. After duplicates were removed, three reviewers independently screened titles and abstracts and reviewed full-text articles. Findings related to help-seeking activity were extracted from the 62 articles that were ultimately included in this scoping review.ResultsStudy findings were summarized into help-seeking patterns (i.e., rates, types) as well as factors ranging from the individual level to society that influenced help-seeking behaviour. Many youth meeting eating disorder criteria were not seeking help. Notable barriers to help-seeking included poor mental health literacy, experiences with healthcare providers who failed to detect and lacked knowledge about eating disorders, minimal support from family and friends, and stigma surrounding eating disorders and help-seeking for mental health concerns.ConclusionsThe results of this scoping review can be used to inform early intervention and health promotion program development. Future research should focus on the help-seeking attitudes and activities among underrepresented groups with eating disorders (e.g., men, ethnic and gender minorities), the perspectives of family and other supporters in the help-seeking process for youth, and retrospective accounts from adults with lived experience of an eating disorder. Plain English summary Addressing and interrupting eating disorder-related thoughts and behaviours as soon as possible, with the help of a mental health professional, leads to better outcomes for youth struggling with an eating disorder. However, little is known about what prompts youth to talk about their weight, body, or eating concerns with someone-like their parent, friend, teacher, guidance counsellor, or primary care practitioner. This review explores the available published research on help-seeking patterns and preferences among youth with eating disorder concerns. Our team followed a standardized process to find 62 relevant articles for this paper. Of note, many young people who reported eating disorder concerns were not seeking help for themselves. Feeling supported by family and their primary care provider, understanding the signs of an eating disorder, and not feeling shame for reaching out for help reportedly led youth to speak up about their concerns. The findings have clinical implications for learning effective ways to help youth feel safe to speak freely about their eating disorder-related concerns, which enhances the chances of intervening early and catching symptoms before they worsen.
| S-EPMC8845232 | biostudies-literature