Biological Psychiatry最新文献

{"title":"Bipolar Disorders and Artistic Temperament: Mechanisms linking creativity and bipolar disorder.","authors":"Mikael Landén","doi":"10.1016/j.biopsych.2025.01.003","DOIUrl":"https://doi.org/10.1016/j.biopsych.2025.01.003","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Focused Ultrasound Neuromodulation: Exploring a Novel Treatment for Severe Opioid Use Disorder.","authors":"Ali Rezai, Daisy G Y Thompson-Lake, Pierre-François D'Haese, Nathalie Meyer, Manish Ranjan, Daniel Farmer, Victor Finomore, Jennifer L Marton, Sally Hodder, Jeffrey Carpenter, Aniruddha Bhagwat, James Berry, Padma Tirumalai, Geoffrey Adams, Tasneem Arsiwala, Olaf Blanke, James J Mahoney","doi":"10.1016/j.biopsych.2025.01.001","DOIUrl":"https://doi.org/10.1016/j.biopsych.2025.01.001","url":null,"abstract":"<p><strong>Background: </strong>Opioid use disorder remains a critical healthcare challenge as current therapeutic strategies have limitations resulting in high recurrence and deaths. We evaluated safety and feasibility of focused ultrasound (FUS) neuromodulation to reduce substance cravings and use in severe opioid- and co-occurring substance use disorders.</p><p><strong>Methods: </strong>This prospective, open-label, single-arm study enrolled 8 participants with severe, primary opioid use disorder with co-occurring substance use. Participants received a 20-minute session of low-intensity FUS (220 kHz) neuromodulation targeting the bilateral nucleus accumbens (NAc) with follow-up for 90-days. Outcome measures included safety, tolerability, feasibility, and effects of FUS neuromodulation by assessment of adverse events, substance craving, substance use (self-report, urine toxicology), mood, neurologic examinations, and anatomic and functional MRI, at 1-, 7-, 30-, 60, and 90- day post-FUS.</p><p><strong>Results: </strong>No serious device-related adverse events or imaging abnormalities were observed. Following FUS, participants demonstrated immediate (p<.002) and sustained (p<.0001; mean 91%) reduction in cue-induced opioid craving with median rating on scale from 0-10: 6.9 (pre-FUS) vs. 0.6 (90-day post-FUS). Craving reductions were similar for other illicit substances (e.g., methamphetamine (p<.002), cocaine (p<.02)). Decreases in opioid and co-occurring substance use were confirmed by urine toxicology. Seven participants remained abstinent at 30-days; 5 remained abstinent throughout 90-days post-FUS. Resting-state functional MRI demonstrated decrease in connectivity from the NAc to reward and cognitive regions post-FUS.</p><p><strong>Conclusions: </strong>NAc FUS neuromodulation is safe and a potential adjunctive treatment for reducing drug cravings and use in individuals with severe opioid- and co-occurring substance use disorders. Larger, sham-controlled, randomized studies are warranted.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The genetic architecture of differentiating behavioral and emotional problems in early life.","authors":"Adrian Dahl Askelund, Laura Hegemann, Andrea G Allegrini, Elizabeth C Corfield, Helga Ask, Neil M Davies, Ole A Andreassen, Alexandra Havdahl, Laurie J Hannigan","doi":"10.1016/j.biopsych.2024.12.021","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.12.021","url":null,"abstract":"<p><strong>Background: </strong>Early in life, behavioral and cognitive traits associated with risk for developing a psychiatric condition are broad and undifferentiated. As children develop, these traits differentiate into characteristic clusters of symptoms and behaviors that ultimately form the basis of diagnostic categories. Understanding this differentiation process - in the context of genetic risk for psychiatric conditions, which is highly generalized - can improve early detection and intervention.</p><p><strong>Methods: </strong>We modeled the differentiation of behavioral and emotional problems from age 1.5-5 years (behavioral problems - emotional problems = differentiation score) in a pre-registered study of ∼79,000 children from the population-based Norwegian Mother, Father, and Child Cohort Study. We used genomic structural equation modeling to identify genetic signal in differentiation and total problems, investigating their links with 11 psychiatric and neurodevelopmental conditions. We examined associations of polygenic scores (PGS) with both outcomes and assessed the relative contributions of direct and indirect genetic effects in ∼33,000 family trios.</p><p><strong>Results: </strong>Differentiation was primarily genetically correlated with psychiatric conditions via a \"neurodevelopmental\" factor. Total problems were primarily associated with the \"neurodevelopmental\" factor and \"p\"-factor. PGS analyses revealed an association between liability to ADHD and differentiation (β=0.11 [0.10,0.12]), and a weaker association with total problems (β=0.06 [0.04,0.07]). Trio-PGS analyses showed predominantly direct genetic effects on both outcomes.</p><p><strong>Conclusions: </strong>We uncovered genomic signal in the differentiation process, mostly related to common variants associated with neurodevelopmental conditions. Investigating the differentiation of early life behavioral and emotional problems may enhance our understanding of the developmental emergence of different psychiatric and neurodevelopmental conditions.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"One BAG doesn't fit all: the differences and similarities of BAG family members in mediating CNS homeostasis.","authors":"Heng Lin, Sudarshan Ramanan, Sofia Kaplan, Darron H King, Dominic Bunn, Gail Vw Johnson","doi":"10.1016/j.biopsych.2024.12.019","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.12.019","url":null,"abstract":"<p><p>There is an increasing awareness that B-cell lymphoma 2 (Bcl-2)-associated athanogene (BAG) proteins play critical roles in maintaining neural homeostasis, and that their dysregulation contributes to neurological disorders. This protein family of nine members is evolutionarily conserved, with each member having at least one BAG domain that binds to the nucleotide-binding domains of Heat Shock Protein (Hsp) 70 family members. Collectively, these proteins are essential for the proper functioning of the central nervous system (CNS). Although there are numerous studies that focus on a specific BAG protein, an understanding of how BAG family members may act cooperatively to maintain cellular homeostasis is needed. In this review, we give an overview of the BAG domain interactors, Hsp72, Hsp70.2, CHIP and METTL3 which are common to all BAG family members. This is followed by a concise description of each BAG family member, with a focus on its function in the CNS and dysfunction in neurological conditions. Finally, we discuss the intersection of the molecular functions of the different BAG family proteins by delineating differences and similarities, and describing how their functions can be either complementary or competing. The information in this review provides a basic conceptual framework for analyzing the roles of a particular BAG family member in the CNS and neurological conditions. This review also provides a basis for examining how BAG family members can play either redundant or antagonistic roles that may modulate experimental outcomes.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Dark Side of Empathy: the Role of Excessive Affective Empathy on Mental Health Disorders.","authors":"Chaoli Huang, Zifeng Wu, Sha Sha, Cunming Liu, Ling Yang, Peng Jiang, Hongxing Zhang, Chun Yang","doi":"10.1016/j.biopsych.2024.12.020","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.12.020","url":null,"abstract":"<p><p>Empathy, typically regarded as a positive attribute, is now being critically evaluated for its potential negative implications on mental health. A growing body of research indicates that excessive empathy, particularly high level of affective empathy, can lead to overwhelming emotional states, increasing susceptibility to psychological distress and psychiatric disorders. This review aims to explore the negative effects of empathy on mental health. We review both human and animal studies concerning the relationship between empathy and psychological disorders, revealing that while empathy enhances social interactions and emotional understanding, it may also heighten empathic distress and potentially contribute to the development of pain, internalizing disorders, depression, anxiety, emotional over-involvement, burnout, vicarious trauma and post-traumatic stress disorder. This review contributes to the broader discourse on empathy by delineating its dual impacts, integrating insights from neurobiology, psychology, and behavioral studies. This review may enhance our understanding of empathy's complex role in mental health, offering a nuanced perspective that acknowledges both its beneficial and detrimental impacts.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early risk identification and prevention of bipolar disorder: ethical considerations and user perspectives.","authors":"Rudolf Uher, Alyson Zwicker","doi":"10.1016/j.biopsych.2024.12.017","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.12.017","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142926373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Responsible use of population neuroscience data: Towards standards of accountability and integrity.","authors":"Sandra A Brown, Hugh Garavan, Terry L Jernigan, Susan F Tapert, Rebekah S Huber, Daniel Lopez, Traci Murray, Gayathri Dowling, Elizabeth A Hoffman, Lucina Q Uddin","doi":"10.1016/j.biopsych.2024.12.014","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.12.014","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142891755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Multiform Heterogeneity Framework for Alzheimer's Disease Based on Multimodal Neuroimaging.","authors":"Kun Zhao, Pindong Chen, Dong Wang, Rongshen Zhou, Guolin Ma, Yong Liu","doi":"10.1016/j.biopsych.2024.12.009","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.12.009","url":null,"abstract":"<p><p>Understanding the heterogeneity of Alzheimer's disease (AD) is crucial for advancing precision medicine specifically tailored to this disorder. Recent research has deepened our understanding of AD heterogeneity, yet translating these insights from bench to bedside via neuroimaging heterogeneity frameworks presents significant challenges. In this review, we systematically revisit prior studies and summarize the existing methodology of data-driven neuroimaging studies for AD heterogeneity. We organized the present methodology into (i) a subtyping cluster strategy for AD patients, and we also subdivided it into subtyping analysis based on cross-sectional multimodal neuroimaging profiles, and the identification of long-term disease progression from short-term datasets; (ii) a stratified strategy that integrates neuroimaging measures with biomarkers; (iii) individual-specific abnormal patterns based on the Normative model. We then evaluated the characteristics of these studies along two dimensions: (i) the understanding of pathology and (ii) clinical application. We systematically address the limitations, challenges, and future directions of research into AD heterogeneity. Our goal is to enhance the neuroimaging heterogeneity framework for AD, facilitating its transition from bench to bedside.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142891632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Old strategies, new environments: Reinforcement Learning on social media.","authors":"Georgia Turner, Amanda M Ferguson, Tanay Katiyar, Stefano Palminteri, Amy Orben","doi":"10.1016/j.biopsych.2024.12.012","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.12.012","url":null,"abstract":"<p><p>The rise of social media has profoundly altered the social world - introducing new behaviours which can satisfy our social needs. However, it is yet unknown whether human social strategies, which are well-adapted to the offline world we developed in, operate as effectively within this new social environment. Here, we describe how the computational framework of Reinforcement Learning can help us to precisely frame this problem and diagnose where behaviour-environment mismatches emerge. The Reinforcement Learning framework describes a process by which an agent can learn to maximise their long-term reward. Reinforcement Learning, which has proven successful in characterising human social behaviour, consists of three stages: updating expected reward, valuating expected reward by integrating subjective costs such as effort, and selecting an action. Specific social media affordances, such as the quantifiability of social feedback, might interact with the Reinforcement Learning process at each of these stages. In some cases, affordances can exploit Reinforcement Learning biases which are beneficial offline, by violating the environmental conditions under which such biases are optimal - such as when algorithmic personalisation of content interacts with confirmation bias. Characterising the impact of specific aspects of social media through this lens can improve our understanding of how digital environments shape human behaviour. Ultimately, this formal framework could help address pressing open questions about social media use, including its changing role across human development, and its impact on outcomes such as mental health.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142891750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning analysis of the orbitofrontal cortex transcriptome of human opioid users identifies Shisa7 as a translational target relevant for heroin-seeking leveraging a male rat model.","authors":"Randall J Ellis, Jacqueline-Marie N Ferland, Tanni Rahman, Joseph L Landry, James E Callens, Gaurav Pandey, TuKiet Lam, Jean Kanyo, Angus C Nairn, Stella Dracheva, Yasmin L Hurd","doi":"10.1016/j.biopsych.2024.12.007","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.12.007","url":null,"abstract":"<p><strong>Background: </strong>Identifying neurobiological targets predictive of the molecular neuropathophysiological signature of human opioid use disorder (OUD) could expedite new treatments. OUD is characterized by dysregulated cognition and goal-directed behavior mediated by the orbitofrontal cortex (OFC), and next-generation sequencing could provide insights regarding novel targets.</p><p><strong>Methods: </strong>Here, we used machine learning to evaluate human post-mortem OFC RNA-sequencing datasets from heroin-users and controls to identify transcripts predictive of heroin use. To determine a causal link to OUD-related behaviors, we examined the effects of overexpressing the top target gene in a translational rat model of heroin-seeking and behavioral updating. Additionally, we determined the effects of overexpression on the rat OFC transcriptome compared to that of human heroin users. Co-immunoprecipitation/mass-spectrometry from rat OFC elucidated the protein complex of the novel target.</p><p><strong>Results: </strong>Our machine learning approach identified SHISA7 as predictive of human heroin users. Shisa7 is understudied but appears to be an auxiliary protein of GABAA or AMPA receptors. In rats, Shisa7 expression positively-correlated with heroin-seeking behavior. Overexpressing Shisa7 in the OFC augmented heroin-seeking and impaired behavioral updating for sucrose-based operant contingency. RNA-sequencing of rat OFC revealed gene co-expression networks regulated by Shisa7-overexpression similar to human heroin-users. Finally, co-immunoprecipitation/mass-spectrometry showed that heroin influences Shisa7 binding to glutamatergic and GABAergic receptor subunits. Both gene expression signatures and Shisa7 protein complex emphasized perturbations of neurodegenerative and neuroimmune processes.</p><p><strong>Conclusions: </strong>Our findings suggest that OFC Shisa7 is a critical driver of neurobehavioral pathology related to drug-seeking behavior and behavioral updating, identifying a potential therapeutic target for OUD.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142891635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}