{"title":"Parcellation of functional subregions using an improved affinity propagation clustering algorithm based on structure-function coupling.","authors":"Yanling Li, Junbiao He, Shen'ao Li, Hongtao Yi, Fengmei Lu, Jingjing Gao","doi":"10.1002/gps3.70056","DOIUrl":"https://doi.org/10.1002/gps3.70056","url":null,"abstract":"<p><p><b>LEARNING POINTS</b> Integrating structural and functional connectivity via a nonlinear SFC framework improves the biological plausibility and robustness of primary visual cortex (V1) subregion parcellation compared with unimodal methods.The dorsal subregion of V1 (Dor-V1) exhibits selective functional abnormalities in individuals with autism spectrum disorder (ASD), which are significantly correlated with the severity of core social symptoms.Dor-V1 dysfunction may serve as a promising neuroimaging biomarker for patient subtyping and predicting treatment response in ASD, highlighting the clinical translational value of this fine-grained subregion atlas.</p>","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 5","pages":"e70056"},"PeriodicalIF":9.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13580352/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148989468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
General PsychiatryPub Date : 2026-10-01Epub Date: 2026-10-08DOI: 10.1002/gps3.70068
{"title":"Correction to 'Predictive value of biomarker signatures for suicide risk in hospitalised patients with major depressive disorders: A multicentre study in Shanghai'.","authors":"","doi":"10.1002/gps3.70068","DOIUrl":"https://doi.org/10.1002/gps3.70068","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1136/gpsych-2024-101957.].</p>","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 5","pages":"e70068"},"PeriodicalIF":9.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13646898/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149136236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Antidepressant use and Parkinson's disease risk: Overall protective effect with drug-specific variation.","authors":"Ancha Baranova, Hongbao Cao, Chenxin Xu, Wenxi Sun, Dongming Liu, Fuquan Zhang","doi":"10.1002/gps3.70067","DOIUrl":"https://doi.org/10.1002/gps3.70067","url":null,"abstract":"<p><strong>Background: </strong>Antidepressants can cause extrapyramidal side effects, but their impact on Parkinson's disease (PD) risk remains unclear.</p><p><strong>Aims: </strong>We aimed to investigate the association between genetic liability to antidepressant use and PD.</p><p><strong>Methods: </strong>We examined the causal effect of antidepressant use on PD using Mendelian randomisation (MR) analysis. We further performed multivariable MR (MVMR) analysis to determine the independent effect of genetic liability to antidepressant use on PD by accounting for the effect of major depressive disorder (MDD) on PD. The United States Food and Drug Administration Adverse Event Reporting System (FAERS) database (2004 Q1-2024 Q2, 53.4 million event-level records) was mined to assess associations between 13 antidepressants and PD. Colocalisation analyses identified shared genetic variants between genetic liability to antidepressant use and PD.</p><p><strong>Results: </strong>MR analyses demonstrated that genetic liability to antidepressant use was inversely associated with PD (odds ratio [OR]: 0.74, <i>p</i>-false discovery rate (FDR) = 0.016), whereas MDD itself showed no causal association (OR: 1.01, <i>p</i>-FDR = 0.934). MVMR confirmed that the inverse association between genetic liability to antidepressant use and PD was independent of genetic liability to MDD (OR: 0.69, <i>p</i>-FDR = 0.018). Colocalisation highlighted <i>LHFPL3</i>, <i>KMT2E</i> and <i>SRPK2</i> at the chromosome 7q22.3 locus as shared genetic components. Furthermore, real-world FAERS data revealed that although most antidepressants (10/13) showed no significant disproportionate reporting for PD, clomipramine and mirtazapine were associated with increased reporting odds, whereas duloxetine exhibited a significant inverse reporting signal.</p><p><strong>Conclusions: </strong>Genetic and observational evidence together support an inverse association between antidepressant use and PD. Given varying individual drug profiles, agents such as duloxetine warrant further prospective evaluation.</p>","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 5","pages":"e70067"},"PeriodicalIF":9.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13659639/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
General PsychiatryPub Date : 2026-10-01Epub Date: 2026-09-15DOI: 10.1002/gps3.70058
Mikel L Sáez de Asteasu, Simon Rosenbaum, Mikel Izquierdo
{"title":"Physical activity participation in people with severe mental illness: The real challenge.","authors":"Mikel L Sáez de Asteasu, Simon Rosenbaum, Mikel Izquierdo","doi":"10.1002/gps3.70058","DOIUrl":"10.1002/gps3.70058","url":null,"abstract":"","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 5","pages":"e70058"},"PeriodicalIF":9.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13577595/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148976601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
General PsychiatryPub Date : 2026-10-01Epub Date: 2026-09-16DOI: 10.1002/gps3.70053
Wei Chen, Liya Sun, Fanyuan Zhang, Jijun Wang, Chunbo Li, Shengying Qin, Chunling Wan, Fangyu Chen, Chen Zhang, Ruichu Cai
{"title":"Towards precision medicine: Application of the structural causal model in psychiatry.","authors":"Wei Chen, Liya Sun, Fanyuan Zhang, Jijun Wang, Chunbo Li, Shengying Qin, Chunling Wan, Fangyu Chen, Chen Zhang, Ruichu Cai","doi":"10.1002/gps3.70053","DOIUrl":"10.1002/gps3.70053","url":null,"abstract":"<p><p><b>LEARNING POINTS</b> The structural causal model (SCM) is a next-generation artificial intelligence method. It can transparently reveal the causal graph of a system, make predictions based on causal mechanisms, enable individualised inference and facilitate virtual intervention experiments.Each SCM method has its own advantages and limitations that should be considered in practice. As the field develops rapidly, further breakthroughs in both SCM methods and precision medicine are anticipated.Currently, there are only a few applications of SCM in psychiatry research. We encourage the use of it as a tool for advancing precision medicine in psychiatry.</p>","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 5","pages":"e70053"},"PeriodicalIF":9.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13581686/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148989539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
General PsychiatryPub Date : 2026-10-01Epub Date: 2026-10-15DOI: 10.1002/gps3.70055
Yi-Ran Huang, Yu-Cheng Wang, Yuan Feng, Qinge Zhang, Sha Sha, Zhaohui Su, Teris Cheung, Gabor S Ungvari, Robert D Smith, Lloyd Balbuena, Gang Wang, Yu-Tao Xiang
{"title":"Anorexia nervosa across the globe: Epidemiological trends, sex asymmetries, socioeconomic disparities and future projections to 2035.","authors":"Yi-Ran Huang, Yu-Cheng Wang, Yuan Feng, Qinge Zhang, Sha Sha, Zhaohui Su, Teris Cheung, Gabor S Ungvari, Robert D Smith, Lloyd Balbuena, Gang Wang, Yu-Tao Xiang","doi":"10.1002/gps3.70055","DOIUrl":"10.1002/gps3.70055","url":null,"abstract":"","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 5","pages":"e70055"},"PeriodicalIF":9.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13673130/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149215877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
General PsychiatryPub Date : 2026-08-01Epub Date: 2026-07-06DOI: 10.1002/gps3.70036
Hanchen Hou, Yinan Li, Wanting Tang, Yiwen Gao, Yuanyuan Tian, Fei Chen, Lige Zhang, Jushuang Zhang, Xiaoxia Xu, Yao Li, Yi Li, Qingshan Wang, Lingli Liu, Teng Teng, Hao Wu, Xinyu Zhou
{"title":"Gut microbiota-targeted interventions for depression in adolescents and young adults: Mechanisms, evidence strength and clinical strategies-A narrative review.","authors":"Hanchen Hou, Yinan Li, Wanting Tang, Yiwen Gao, Yuanyuan Tian, Fei Chen, Lige Zhang, Jushuang Zhang, Xiaoxia Xu, Yao Li, Yi Li, Qingshan Wang, Lingli Liu, Teng Teng, Hao Wu, Xinyu Zhou","doi":"10.1002/gps3.70036","DOIUrl":"10.1002/gps3.70036","url":null,"abstract":"<p><p>Depression in adolescents and young adults is common, associated with substantial functional impairment and characterised by limited treatment efficacy. The microbiota-gut-brain (MGB) axis has emerged as a potential therapeutic target for depression. This narrative review synthesises preclinical and clinical evidence on a range of MGB axis interventions aimed at alleviating depressive symptoms in youth, including probiotics, prebiotics, synbiotics, postbiotics, faecal microbiota transplantation (FMT) and lifestyle strategies such as dietary modification and structured exercise. In animal models, these interventions consistently produce antidepressant effects, accompanied by reduced inflammatory signalling, normalisation of hypothalamic-pituitary-adrenal axis activity and upregulation of neurotrophic and serotonergic pathways. In humans, particularly among younger cohorts, the evidence is heterogeneous. Some probiotic or synbiotic regimens have yielded modest improvements in depressive symptoms in preliminary trials, whereas stand-alone prebiotics have shown inconsistent or null effects; clinical evidence for postbiotics and FMT remains preliminary. Lifestyle interventions that target the MGB axis, such as Mediterranean-style diets and structured exercise programmes, have been associated with improved mood and, in some studies, reductions in inflammatory biomarkers. Compared with studies in adults, research in this population remains limited by small sample sizes, greater methodological heterogeneity and less consistent findings and also suggests the presence of age-specific pathways. Current evidence indicates that interventions targeting the MGB axis should be approached cautiously and considered only as adjunctive strategies for the treatment of depression in this population. Future work requires rigorously designed, strain- and protocol-specific clinical trials with standardised procedures, careful safety monitoring and biomarker-guided personalised approaches.</p>","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 4","pages":"e70036"},"PeriodicalIF":9.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13338579/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148404128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
General PsychiatryPub Date : 2026-08-01Epub Date: 2026-08-13DOI: 10.1002/gps3.70046
Emilie Jouanjus, Tiffanie Grime, Constance Bordet, Maryse Lapeyre-Mestre, Benjamin Rolland
{"title":"Comparative potential for generating spontaneous signals for abuse and dependence among drugs used for attention deficit hyperactivity disorder: A disproportionality analysis in VigiBase®.","authors":"Emilie Jouanjus, Tiffanie Grime, Constance Bordet, Maryse Lapeyre-Mestre, Benjamin Rolland","doi":"10.1002/gps3.70046","DOIUrl":"https://doi.org/10.1002/gps3.70046","url":null,"abstract":"<p><strong>Background: </strong>The comparative liability for abuse and dependence of drugs used for attention deficit hyperactivity disorder (ADHD) has been poorly explored so far.</p><p><strong>Aims: </strong>To evaluate the relative potential of medications used for ADHD for generating spontaneous reports of abuse and dependence in international pharmacovigilance data.</p><p><strong>Methods: </strong>A disproportionality analysis was conducted using data recorded in VigiBase®, the World Health Organisation global database of individual case safety reports (ICSRs). ICSRs recorded between 1 January 2002 and 30 June 2023, referring to paediatric and adult subjects with known sex and aged ≥ 15 years and involving suspect drugs used for ADHD, were included. Reporting odds ratios (RORs) for 'Drug abuse and dependence', along with their 95% confidence intervals (CIs), were calculated using methylphenidate as the reference drug and with adjustment for age, sex, seriousness, reporter qualification and continent of reporting. Several sensitivity analyses were performed.</p><p><strong>Results: </strong>Among the 55 219 ICSRs included, 2633 were reports of drug abuse and dependence. The proportion of drug abuse and dependence reports was significantly lower for all studied drugs than for methylphenidate, except for lisdexamfetamine (ROR: 1.06, 95% CI 0.91-1.24). Sensitivity analyses yielded results comparable to the primary analysis, but with a slightly higher ROR for lisdexamfetamine when excluding US data (ROR: 1.26, 95% CI 1.03-1.54).</p><p><strong>Conclusions: </strong>Methylphenidate and lisdexamfetamine emerged as the two drugs with the highest likelihood of safety reports related to abuse and dependence. These findings challenge previous statements suggesting that the abuse potential of lisdexamfetamine was lower than that of other psychostimulant drugs used for ADHD and advocate for further pharmacoepidemiological studies in this field.</p>","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 4","pages":"e70046"},"PeriodicalIF":9.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13473179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148758572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
General PsychiatryPub Date : 2026-08-01Epub Date: 2026-08-17DOI: 10.1002/gps3.70048
Hua He, Feng Li, Guodong Ding, Fei Li
{"title":"Mental health multimorbidity and physical conditions in children aged 6-17 years in the United States.","authors":"Hua He, Feng Li, Guodong Ding, Fei Li","doi":"10.1002/gps3.70048","DOIUrl":"https://doi.org/10.1002/gps3.70048","url":null,"abstract":"<p><strong>Background: </strong>The rising prevalence and early onset of mental health problems among children and adolescents pose a critical public health challenge.</p><p><strong>Aims: </strong>This study aimed to identify distinct profiles of mental health multimorbidity, examine their associations with physical conditions and evaluate the dose-response relationships between the number of mental health multimorbidities and physical condition risk.</p><p><strong>Methods: </strong>Using cross-sectional data from 30 556 children aged 6-17 years in the 2023 United States National Survey of Children's Health, we applied latent class analysis to derive multimorbidity profiles from nine mental health problems. Multivariable logistic regression assessed associations with 15 physical conditions. Dose-response relationships were evaluated based on the number of co-occurring mental health conditions.</p><p><strong>Results: </strong>Four distinct profiles were identified: developmental delay/intellectual disability with mixed problems (DD/ID with MP, 8.0%), emotional problems (8.2%), attention-deficit/hyperactivity disorder with behavioural problems (ADHD-BP, 8.0%) and low mental health concerns (75.8%). The three clinical profiles exhibited a significant physical disease burden. DD/ID with MP showed the strongest associations with neurological and hearing conditions. Although emotional problems and ADHD-BP shared a similar risk profile, emotional problems showed stronger associations with headaches and respiratory issues. A dose-response relationship was observed, with physical disease risk increasing for each additional mental health problem, particularly among children with > 3 disorders.</p><p><strong>Conclusions: </strong>Mental health multimorbidity is significantly associated with increased physical condition risk in a profile-specific and dose-dependent manner. This underscores the need for integrated clinical strategies that account for transdiagnostic patterns and comorbidity burden to enhance risk stratification and tailor interventions in paediatric populations.</p>","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"39 4","pages":"e70048"},"PeriodicalIF":9.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13481711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148791261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}