Current topics in behavioral neurosciences最新文献

{"title":"Computational Mechanisms of Information-Seeking in Anxiety.","authors":"Ko-Ping Chou, Ryan Smith","doi":"10.1007/7854_2024_552","DOIUrl":"https://doi.org/10.1007/7854_2024_552","url":null,"abstract":"<p><p>The drive to seek information through exploratory behavior is widespread in both humans and other animals. This can be adaptive in reducing uncertainty about the best course of action within novel or changing environments. However, exploratory behaviors can also become maladaptive if subjective uncertainty levels remain too high or too low, as may happen in states of elevated anxiety. In this article, we review recent studies investigating the influence of anxiety on information-seeking behavior. We focus primarily on studies using cognitive computational models and associated behavioral tasks designed to test specific exploratory strategies, which could each be affected by anxiety in distinct ways. Results of current studies remain mixed and highlight the importance of distinguishing potential effects of task, state vs. trait anxiety, somatic vs. cognitive anxiety, and clinical vs. sub-clinical anxiety. There are also a range of different information-seeking strategies that are necessary to consider. At present, many findings could be taken to support a picture in which cognitive anxiety, and/or trait anxiety more broadly, may increase information-seeking, while somatic and/or state anxiety could have opposing effects. However, a number of previous results also appear inconsistent or task-dependent. Future studies are needed to resolve these apparent inconsistencies and more directly disentangle effects of different dimensions of anxiety on the adaptive and maladaptive use of information-seeking.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142846012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic Tools in Rodents to Study Cannabinoid Functions.","authors":"Krisztina Monory, Inigo Ruiz de Azua, Beat Lutz","doi":"10.1007/7854_2024_550","DOIUrl":"https://doi.org/10.1007/7854_2024_550","url":null,"abstract":"<p><p>During the past 30 years, the endocannabinoid system (ECS) has emerged as a major signalling system in the mammalian brain regulating neurotransmission in numerous brain regions and in various cell populations. Endocannabinoids are able to regulate specific physiological functions and thus modify their behavioural manifestations and allostatic alterations of the ECS linked to different pathological conditions. As discussed in detail in other chapters of this book, endocannabinoids are involved in learning and memory, stress, and anxiety, feeding, energy balance, development, and ageing. Likewise, many CNS disorders (e.g. schizophrenia, epilepsy, substance use disorders, and multiple sclerosis) are associated with dysregulation of the ECS. Discerning the physiological functions of the synthetic and degrading enzymes of endocannabinoids and their receptors is a challenging task because of their distinct and complex expression patterns. Techniques of genetic engineering have been able to shed light on a number of complex ECS-related tasks during the past years. In this chapter, first, we take a critical look at the toolbox available to researchers who would like to investigate cannabinoid effects using genetic engineering techniques, then we comprehensively discuss genetically modified rodent models in various neuronal and non-neuronal cell populations, both within and outside the nervous system.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fear and Anxiety in Schizophrenia: A Focus on Development, Assessment, and Mechanisms.","authors":"Brandee Feola, Marren Jenkins, Julia M Sheffield, Jennifer Urbano Blackford","doi":"10.1007/7854_2024_558","DOIUrl":"https://doi.org/10.1007/7854_2024_558","url":null,"abstract":"<p><p>In people with schizophrenia, anxiety is highly prevalent and related to numerous negative outcomes; unfortunately, anxiety is both underreported and understudied in schizophrenia. The current review highlights the importance and utility of assessing anxiety in schizophrenia by addressing four main questions: (1) What does anxiety look like throughout the development of schizophrenia?; (2) How do we measure anxiety in schizophrenia?; (3) What are the mechanisms underlying anxiety in schizophrenia; (4) How do we treat anxiety in schizophrenia? We also provide take-home points and propose future directions for the field. We hope this emphasis on the critical role of anxiety in schizophrenia will help researchers appropriately identify the presence of anxiety, better address these symptoms, and improve the lives of people at risk for or experiencing psychosis.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fears Worth Testing Out: A Systematic Review of the Neural Mechanisms of Treatment Outcome for Anxiety-Related Disorders.","authors":"Robin Aupperle, Hannah Berg, Jacob Armstrong","doi":"10.1007/7854_2024_549","DOIUrl":"https://doi.org/10.1007/7854_2024_549","url":null,"abstract":"<p><p>With the advent of human neuroimaging, researchers were drawn to the idea that by better understanding the human brain, more effective mental health interventions could be developed. It has been more than 20 years since the first functional magnetic resonance imaging (fMRI) studies were conducted to examine changes in brain activation with anxiety-related treatments and more than 60 studies have since been published in this vein. For the current review, we conduct a systematic review of this literature, focusing on adult studies using task-based fMRI to measure brain activation changes with pharmacologic or psychotherapy interventions for phobia, social anxiety disorder, panic disorder, generalized anxiety disorder, posttraumatic stress disorder, and obsessive-compulsive disorder. Neuroscientific theories of anxiety-related disorders and their treatment have focused on prefrontal-insula-amygdala networks. Treatment-related decreases in amygdala and/or anterior insula activation were identified as the most consistent finding across disorders, with the most consistent results reported for specific phobia. Directionality of change and specific regions implicated in the prefrontal cortex were inconsistent across studies. The potential importance for probing other networks and processes as mechanisms of anxiety treatment was recognized, such as striatal regions underlying inhibitory learning or reward responsivity. Future treatment-fMRI research related to anxiety disorders would benefit from larger sample sizes, use of more nuanced computational approaches, and increased focus on replication. There is continued promise that fMRI research will enhance our understanding of how treatments work and inform the evolution of more effective or personalized mental health treatment.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142817630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensory Processing and Anxiety: Within and Beyond the Autism Spectrum.","authors":"Alisa R Zoltowski, Caitlin A Convery, Ekomobong Eyoh, Emily Plump, Molly Sullivan, Eshani R Arumalla, Jennifer M Quinde-Zlibut, Bahar Keceli-Kaysili, Brianna Lewis, Carissa J Cascio","doi":"10.1007/7854_2024_557","DOIUrl":"https://doi.org/10.1007/7854_2024_557","url":null,"abstract":"<p><p>In this article, we briefly overview how the expression, measurement, and treatment of anxiety in autism may be different from the general population. We review the literature on links between sensory processing differences and anxiety, which show transdiagnostic patterns but are an especially prominent feature of anxiety in autism. Specifically, we focus on how the sense of interoception, i.e., how we perceive sensory information from within our bodies, contributes to anxiety in autism. We present new findings integrating multimodal interoceptive measures and total anxiety symptoms in a sample of n = 38 non-autistic and n = 43 autistic individuals, ages 8-55 years. Using principal components analysis, we found two components relating to interoceptive confusion (i.e., self-reported ability to localize and interpret interoceptive cues): one component that closely relates to anxiety symptoms and one component that is distinct from anxiety. Interoceptive perception (i.e., performance on a lab-based task) was uniformly related to interoceptive confusion when distinguished from anxiety but showed complex relations with total anxiety symptoms. Combined, these findings suggest meaningful subtypes of interoceptive difficulties and their interrelationship with anxiety. We present conclusions and future directions for consideration of individual differences, toward creating a personalized understanding of anxiety-interoception links.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142817632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural Markers of Treatment Response in Pediatric Anxiety and PTSD.","authors":"Dana E Díaz, Hannah C Becker, Kate D Fitzgerald","doi":"10.1007/7854_2024_547","DOIUrl":"https://doi.org/10.1007/7854_2024_547","url":null,"abstract":"<p><p>Pediatric anxiety disorders and post-traumatic stress disorder (PTSD) are associated with elevated threat sensitivity and impaired emotion regulation, accompanied by dysfunction in the neural circuits involved in these processes. Despite established treatments like cognitive behavioral therapy (CBT) and selective serotonin reuptake inhibitors, many children do not achieve remission, underscoring the importance of understanding the neurobiological underpinnings of these disorders. This review synthesizes current research on the neural predictors of treatment response and the neurofunctional changes associated with treatment in pediatric anxiety and PTSD during threat and reward processing. Several key findings emerged. First, enhanced threat/safety discrimination in the amygdala predicted better outcomes of pediatric anxiety and PTSD treatments. Second, differences in pretreatment activation within the lateral prefrontal and dorsal anterior cingulate cortices predicted treatment response, likely reflecting baseline executive control differences. Third, post-CBT decreases in activation in default mode, visuo-attentional, and sensorimotor areas may support treatment-related increases in task engagement. Finally, functional connectivity between the amygdala and other limbic, prefrontal, and default mode network nodes predicts treatment response in anxiety and PTSD, highlighting its potential as a biomarker for therapeutic efficacy. Understanding these neurofunctional markers could lead to more targeted interventions, optimizing treatment planning and potentially leading to the development of \"pretreatment\" strategies to enhance the efficacy of existing treatments. This review highlights the necessity for future research to establish more direct links between neuroimaging findings and clinical outcomes to facilitate the translation of these findings into clinical practice.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Achieving Inclusion in Pharmacological Clinical Trials for Alzheimer's Disease.","authors":"Doris Molina-Henry, Rema Raman","doi":"10.1007/7854_2024_522","DOIUrl":"https://doi.org/10.1007/7854_2024_522","url":null,"abstract":"<p><p>Participant recruitment and retention into randomized controlled trials (RCTs) is a growing and evolving science. It varies dramatically by discipline given the important and key choices that must be made based on the unique trial design considerations. In the field of Alzheimer's Disease (AD) therapeutics, recruitment goals, approaches, and strategies vary based on the disease stage of the target population which can range from asymptomatic adults with biomarker evidence of the disease to end-stage symptom management. This chapter discusses existing barriers and provides recommendations to achieve inclusive and timely recruitment in multi-center AD trials. It proposes an evidence-based recruitment framework anchored on culturally cognizant and participant focused study level and study site level efforts.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142817629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychedelic Harm Reduction and Integration: A Transtheoretical Model for Clinical Practice.","authors":"Xiaojue Hu, Ingmar Gorman, Elizabeth Nielson","doi":"10.1007/7854_2024_529","DOIUrl":"https://doi.org/10.1007/7854_2024_529","url":null,"abstract":"<p><p>Psychedelic Harm Reduction and Integration (PHRI) is a transtheoretical clinical model for working with psychedelic experiences in therapeutic settings. Drawing from harm reduction psychotherapy, psychedelic-assisted therapy, mindfulness-based modalities, and psychodynamic therapy, PHRI offers a framework for clinicians to assist clients in preparing for and integrating psychedelic experiences without directly administering psychedelics. This approach emphasizes non-pathologizing, client-empowering strategies to address both challenging and positive psychedelic experiences. PHRI incorporates principles such as non-directive and inner-directed approaches, somatic awareness, and psychological flexibility. The model addresses common integration challenges including fear, ego dissolution, and increased emotional sensitivity. By bridging various therapeutic modalities, PHRI aims to support clients in translating psychedelic experiences into enduring positive changes while decreasing potential harms. This chapter outlines the theoretical foundations of PHRI, distinguishes it from existing approaches, and explores its application in clinical practice, with a focus on the integration phase of psychedelic experiences.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142799737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interoceptive Processing in Substance Use Disorders (SUDs): From the Neuroanatomy to Insights from Computational Models and Predictive Coding Frameworks.","authors":"Martin P Paulus","doi":"10.1007/7854_2024_519","DOIUrl":"https://doi.org/10.1007/7854_2024_519","url":null,"abstract":"<p><p>Substance use disorders (SUDs) represent complex public health challenges characterized by a blend of genetic, cognitive, environmental, and psychosocial factors. This chapter explores the critical role of interoceptive processing - the internal sensing of physiological states - in the neurobiology and treatment of SUDs. Interoceptive dysfunctions are highlighted as central to the craving, emotional regulation, and decision-making processes that underpin addictive behaviors. The importance of the insula in sustaining drug use, particularly nicotine, underscores a broader involvement of interoceptive pathways in SUDs. Altered interoceptive processing is evident across various SUDs, where individuals demonstrate both a heightened sensitivity to drug-related cues and a diminished ability to process aversive stimuli, suggesting substantial neurobiological underpinnings that complicate treatment outcomes. Moreover, we delve into the theoretical and computational approach to understanding interoceptive processing in SUDs. This perspective utilizes a predictive coding framework, positing that the brain continuously generates and updates predictions about internal states based on sensory inputs. In SUDs, disruptions in this predictive mechanism can lead to inaccuracies in interoceptive perception, contributing significantly to the compulsive nature of drug-seeking behaviors and the challenges associated with treatment. We explore how computational models, such as Bayesian inference, provide insights into the interplay between expected and received interoceptive signals, highlighting the role of hyper-precise prior beliefs in the persistence of craving and impulsivity. This theoretical approach not only deepens our understanding of the neural and cognitive bases of addiction but also suggests novel intervention strategies. By recalibrating interoceptive predictions through targeted therapies, such as neuromodulation and mindfulness training, we can potentially restore the interoceptive accuracy, thereby offering new avenues for effective treatment of SUDs.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142715663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex Differences in Neural Circuits Underlying Fear Processing.","authors":"Leire Rodríguez Romero, Neha Acharya, Jaime Fabregat Nabás, Ignacio Marín, Raül Andero","doi":"10.1007/7854_2024_543","DOIUrl":"https://doi.org/10.1007/7854_2024_543","url":null,"abstract":"<p><p>Neural circuitry involved in anxiety and fear-related disorders exhibits strong sexual modulation. A limited number of studies integrating female and male data have revealed differences in neural networks, and distinct interconnectivity between these brain areas. Despite the efforts to incorporate female or mixed-sex data, there is compelling evidence that sex, as a biological variable, significantly influences fear processing. This chapter presents primary findings on sex differences in fear circuitry. It is imperative to consider this factor to ensure scientific research's integrity and understand how fear is processed in the central nervous system.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142715664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}