Nature mental health最新文献

{"title":"Not all psychedelics are created equal","authors":"Johannes G. Ramaekers, Pablo Mallaroni, Natasha L. Mason, Mihai Avram","doi":"10.1038/s44220-025-00551-y","DOIUrl":"10.1038/s44220-025-00551-y","url":null,"abstract":"Psychedelics act on multiple receptors beyond 5-HT2A, but their contribution to subjective and behavioral effects is poorly defined. A receptor-informed, neuroimaging-integrated framework can better capture this complexity and guide more-personalized, mechanism-based psychedelic therapies. This Comment proposes a receptor-informed, neuroimaging-integrated framework for guiding personalized, mechanism-based psychedelic therapies.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1465-1467"},"PeriodicalIF":8.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00551-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Centering mindfulness to address cardiovascular and psychological health in Black and Latina women","authors":"LaPrincess C. Brewer, Inger Burnett-Zeigler, Eric B. Loucks","doi":"10.1038/s44220-025-00537-w","DOIUrl":"10.1038/s44220-025-00537-w","url":null,"abstract":"Disparities in cardiovascular health among Black and Latina women are exacerbated by chronic stressors and limited access to mental health care. Culturally adapted mindfulness-based interventions represent promising strategies to address these disparities, potentially improving cardiovascular health by integrating sociocultural contexts and unique stressors into mental health practices.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1459-1461"},"PeriodicalIF":8.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754672","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":"Enhancing mental health with generative artificial intelligence: the promise and the risks","authors":"Natalia Gass","doi":"10.1038/s44220-025-00556-7","DOIUrl":"10.1038/s44220-025-00556-7","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1455-1456"},"PeriodicalIF":8.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754656","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":"A multi-dimensional transfer learning framework for studying reward-guided behaviors across species","authors":"Yang Merik Liu, Adam Turnbull, Ehsan Adeli, Guoying Zhao, Kuan Hong Wang, Feng Vankee-Lin","doi":"10.1038/s44220-025-00547-8","DOIUrl":"10.1038/s44220-025-00547-8","url":null,"abstract":"Reward-guided behaviors, essential for survival and adaptation, exhibit both conserved and species-specific features across humans and other animals. Translating findings across species is often hindered by limited cross-species reliability in measurements and uncertain translational validity regarding functional or mechanistic relevance. This Perspective proposes a multi-dimensional transfer learning framework that integrates artificial intelligence (AI) to enhance cross-species research of reward-guided behaviors. By leveraging AI techniques, our framework connects behavioral neuroscience insights from animal models, especially land-based mammals, with functional outcomes in humans, enabling concept- and parameter-level transfer to identify universal principles, clarify mechanisms and optimize experimental paradigms. Using example expression components of behaviors, including locomotion trajectories and facial expressions, we highlight how multi-dimensional transfer learning can reveal conserved neural circuits while accounting for species-specific variations and contextual dynamics. This AI-powered framework offers a promising path to deepen our understanding of reward-guided behaviors and their relevance to mental health disorders. In this Perspective, the authors examine a central challenge in neuropsychiatry: how to effectively compare and translate reward-guided behaviors across species.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 1","pages":"15-29"},"PeriodicalIF":8.7,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145931253","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":"Creative arts-based interventions for the improvement of PTSD symptoms in young people: a meta-analysis with a focus on non-Western populations","authors":"Briana Applewhite, Brennan Delattre, Ilina Singh, Morten Kringelbach, Olivia Spiegler","doi":"10.1038/s44220-025-00543-y","DOIUrl":"10.1038/s44220-025-00543-y","url":null,"abstract":"Post-traumatic stress disorder (PTSD) is increasingly prevalent among young people, yet current evidence-based treatments show variable outcomes. Creative arts-based interventions (for example, music, dance, visual art and drama) are gaining attention as complementary approaches to trauma care. Here we evaluated the effectiveness of creative arts-based interventions in reducing PTSD symptoms among youth globally, with particular attention to underrepresented and non-Western populations. We searched PubMed, PsycINFO and Web of Science for studies published up to 16 June 2025. Eligible studies were randomized controlled trials and quasi-experimental studies evaluating creative arts-based interventions with participants aged 3–18 years with diagnosed PTSD or trauma-related symptoms and validated pre-post PTSD outcomes. A random-effects meta-analysis was conducted with subgroup analyses by region and trauma severity. Thirty-three studies (N = 4,587) met inclusion criteria. Creative arts-based interventions significantly reduced PTSD symptoms (Hedges’ g = 0.85, 95% CI = 0.70–1.00). Strong effects were observed among participants with diagnosed PTSD and general trauma symptoms. Subgroup analyses showed large effects in West African and Middle Eastern samples, but no significant effects in Western populations. Although regional evidence was limited and intervention heterogeneity may affect generalizability, findings highlight creative arts-based interventions as effective and culturally resonant tools for reducing PTSD symptoms in youth, particularly in non-Western contexts. Future research should prioritize culturally focused, high-quality studies to assess applicability across diverse settings. This study was registered in PROSPERO (CRD42023389789). Current psychotherapies for post-traumatic stress disorder (PTSD) in children and adolescents often fail, especially within non-Western and ethnic minority populations. In this meta-analysis, the authors consolidate the most recent evidence regarding creative arts-based interventions for youth suffering from PTSD, underscoring their effectiveness, particularly for non-Western populations such as West African and Middle Eastern youth, and stressing the necessity for more culturally tailored and high-quality randomized controlled trials.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1616-1632"},"PeriodicalIF":8.7,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00543-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder","authors":"Louisa Schilling, S. Parker Singleton, Ceren Tozlu, Marie Hédo, Qingyu Zhao, Kilian M. Pohl, Keith Jamison, Amy Kuceyeski","doi":"10.1038/s44220-025-00523-2","DOIUrl":"10.1038/s44220-025-00523-2","url":null,"abstract":"An individual’s risk of substance use disorder (SUD) is shaped by potent biosocial factors. Family history is one of the strongest predictors, yet its impact on the brain before substance exposure remains unclear. Here we apply network control theory to estimate transition energies (TEs)—the input required for the brain to shift between activity patterns—in youth from the Adolescent Brain Cognitive Development Study. Family history of SUD was associated with altered TE, expressed as sex-divergent effects across brain scales alongside elevated TE in specific regions in both sexes. Females with a family history showed higher TE in the default mode network, whereas males showed lower TE in dorsal and ventral attention networks. These findings demonstrate sex-specific influences of family history on brain dynamics and underscore the importance of considering sex as a biological variable when studying adolescent neurodevelopment and mechanisms of SUD risk. This study investigates how family history influences brain dynamics related to substance use disorder, utilizing network control theory to reveal sex-specific alterations in transition energies across brain regions, highlighting the need for sex as a biological variable in neurodevelopment studies.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1493-1511"},"PeriodicalIF":8.7,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00523-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The empirical structure of psychopathology is represented in large language models","authors":"Joseph Kambeitz, Jason Schiffman, Lana Kambeitz-Ilankovic, Vijay A. Mittal, Ulrich Ettinger, Kai Vogeley","doi":"10.1038/s44220-025-00527-y","DOIUrl":"10.1038/s44220-025-00527-y","url":null,"abstract":"Clinical assessment and scientific research in psychiatry are largely based on questionnaires that are used to assess psychopathology. The development of large language models (LLMs) offers a new perspective for analysis of the language and terminology on which these questionnaires are based. We used state-of-the-art LLMs to derive numerical representations (‘text embeddings’) of the semantic and sentiment content of items from established questionnaires for the assessment of psychopathology. We compared the pairwise associations between empirical data from cross-sectional studies and text embeddings to test whether the empirical structure of psychopathology can be reconstructed by LLMs. Across four large-scale datasets (n = 1,555, n = 1,099, n = 11,807 and n = 39,755), we found a range of significant correlations between empirical item-pair associations and associations derived from text embeddings (r = 0.18 to r = 0.57, all P < 0.05). Random forest regression models based on semantic or sentiment embeddings predicted empirical item-pair associations with moderate to high accuracy (r = 0.33 to r = 0.81, all P < 0.05). Similarly, empirical clustering of items and grouping to established subdomain scores could be partly reconstructed by text embeddings. Our results demonstrate that LLMs are able to represent substantial components of the empirical structure of psychopathology. Consequently, the integration of LLMs into mental health research has the potential to unlock numerous promising avenues. These may encompass improving the process of developing questionnaires, optimizing generalizability and reducing the redundancy of existing questionnaires or facilitating the development of new conceptualizations of mental disorders. This study applies large language models (LLMs) to analyze language used for the description of psychopathology across clinical questionnaires and uses empirical data from four large-scale datasets. The authors find that the empirical structure of psychopathology is well represented in LLMs.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1482-1492"},"PeriodicalIF":8.7,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00527-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Childhood adversity, low positive affect and psychopathology: a meta-analytic structural equation modeling study","authors":"Maria Stoia, Róbert Balázsi, Ștefania Crișan, Andrei C. Miu, Aurora Szentágotai-Tătar","doi":"10.1038/s44220-025-00532-1","DOIUrl":"10.1038/s44220-025-00532-1","url":null,"abstract":"Childhood adversity is a major risk factor for psychopathology, yet the psychological mechanisms remain unclear. One proposed mechanism is low positive affect, although the evidence remains scattered and heterogeneous. In this meta-analytic structural equation modeling study, we pooled data from 115 studies (N = 305,943) to examine the direct and indirect pathways linking childhood adversity, positive affect and psychopathology. Findings indicate that childhood adversity is significantly associated with low positive affect, which in turn relates to increased psychopathology symptoms. Moderator analyses reveal that these effects vary by sample characteristics, assessment methods and study quality, underscoring the complexity of these associations. These results suggest that interventions enhancing positive affect may mitigate psychopathology risk among individuals exposed to childhood adversity, offering promising new avenues for prevention and clinical practice in mental health. In this meta-analytic structural equation modeling study, Stoia et al. examined whether positive affect mediates the relationship between childhood adversity and psychopathology.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1567-1578"},"PeriodicalIF":8.7,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754671","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":"Immunometabolic dysregulation in depression predates illness onset and is associated with lower brain gray matter volume","authors":"Ye Ella Tian, Corey Giles, Maria A. Di Biase, Robin Cash, Vanessa Cropley, Andrew Zalesky","doi":"10.1038/s44220-025-00538-9","DOIUrl":"10.1038/s44220-025-00538-9","url":null,"abstract":"Depression often co-occurs with chronic physical illnesses. While dysregulation of the immunometabolic system is posited to underpin several of these comorbidities, the course of immunometabolic dysregulation in depression and its impact on brain structure remain poorly understood. Here we comprehensively evaluated longitudinal immunometabolic profiles in depression using neuroimaging and metabolomics data from the UK Biobank. We found that depression is characterized by a relatively persistent pattern over time of elevated systemic inflammation, upregulated very-low-density lipoprotein and lipids and downregulated high-density lipoprotein (|Cohen’s d| = 0.01–0.16) and that it predates illness onset. We mapped network-level systemic changes in metabolites, implicating the core role of glycolysis. We also showed that peripheral immunometabolic dysfunction, particularly elevated inflammation, is associated with lower brain gray matter volume in depression. By comprehensively profiling immunometabolic dysfunction in depression and related brain changes, our work highlights the importance of managing chronic low-grade inflammation and altered lipid and glucose metabolism in this disorder. In this study, Tian et al. use data from the UK Biobank to investigate the course of immunometabolic changes in depression and its impact on structural brain changes.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1555-1566"},"PeriodicalIF":8.7,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754662","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":"Linking socioeconomic status to depressive symptoms in aging populations","authors":"Huijie Xu, Zheng Zhang, Yanyue Ye, Jiansong Zhou, Xia Cao","doi":"10.1038/s44220-025-00533-0","DOIUrl":"10.1038/s44220-025-00533-0","url":null,"abstract":"Late-life depressive symptoms remain a pressing global health issue, particularly among older adults with persistent socioeconomic disadvantages. While previous studies have linked socioeconomic status (SES) to mental health, few have integrated dynamic SES trajectories, psychosocial mechanisms and cultural contexts in a unified life course framework. Drawing on harmonized longitudinal data from 6 global aging cohorts (Health and Retirement Study (HRS), China Health and Retirement Longitudinal Study (CHARLS), Survey of Health, Ageing and Retirement in Europe (SHARE), English Longitudinal Study of Ageing (ELSA), Mexican Health and Aging Study (MHAS) and Korean Longitudinal Study of Aging (KLoSA); n = 64,479), this study examined how childhood SES, adult SES and SES mobility predicted incident depressive symptoms. A moderated chain mediation model tested the indirect effects of frailty and social activity, and the buffering role of family support. Cross-lagged panel network analysis was used to explore symptom-level directional associations. The results showed that higher childhood and adult SES, and stable high and upward SES trajectories, were consistently associated with lower risk of late-life depressive symptoms. Frailty and reduced social activity partially mediated these associations, while family support moderated the frailty–depressive symptoms pathway. Network analysis revealed temporal, symptom-level effects of adult SES on depressive symptoms, particularly in low- and middle-income countries. Subgroup analysis indicated stronger SES protection among men, with stable middle SES benefiting women more. Socioeconomic advantage across the lifespan protected against late-life depressive symptoms via social pathways, with culturally embedded family support acting as a key buffer. These findings highlight the importance of integrated, equity-focused and culturally sensitive strategies to sustain mental health in aging populations. Xu et al. analyzed longitudinal data from six global aging cohort studies to examine how socioeconomic status across the lifespan relates to depressive symptoms in later life.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1519-1531"},"PeriodicalIF":8.7,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754665","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}