{"title":"Suicidal risk is associated with hyper-connections in the frontal-parietal network in patients with depression.","authors":"Yanping Ren, Meiling Li, Chunlin Yang, Wei Jiang, Han Wu, Ruiqi Pan, Zekun Yang, Xue Wang, Wei Wang, Wen Wang, Wenqing Jin, Xin Ma, Hesheng Liu, Rena Li","doi":"10.1038/s41398-025-03249-y","DOIUrl":null,"url":null,"abstract":"<p><p>Suicide is a complex behavior strongly associated with depression. Despite extensive research, an objective biomarker for evaluating suicide risk precisely and timely is still lacking. Using the precision resting-state fMRI method, we studied 61 depressive patients with suicide ideation (SI) or suicide attempt (SA), and 35 patients without SI to explore functional biomarkers of suicide risk. Among them, 21 participants also completed electroconvulsive therapy (ECT) treatment, allowing the examination of functional changes across different risk states within the same individual. Functional networks were localized in each subject using resting-state fMRI and then an individualized connectome was constructed to represent the subject's functional brain organization. We identified a set of connections that track suicide risk (r = 0.41, p = 0.001) and found that these risk-associated connections were hyper-connected in the frontoparietal network (FPN, p = 0.008, Cohen's d = 0.58) in patients with suicide risk compared to those without. Moreover, ECT treatment significantly reduced (p = 0.001, Cohen's d = 0.56) and normalized these FPN hyper-connections. These findings suggest that connections involving FPN may constitute an important biomarker for evaluating suicide risk and may provide potential targets for interventions such as non-invasive brain stimulation.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"49"},"PeriodicalIF":6.2000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822010/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41398-025-03249-y","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Suicide is a complex behavior strongly associated with depression. Despite extensive research, an objective biomarker for evaluating suicide risk precisely and timely is still lacking. Using the precision resting-state fMRI method, we studied 61 depressive patients with suicide ideation (SI) or suicide attempt (SA), and 35 patients without SI to explore functional biomarkers of suicide risk. Among them, 21 participants also completed electroconvulsive therapy (ECT) treatment, allowing the examination of functional changes across different risk states within the same individual. Functional networks were localized in each subject using resting-state fMRI and then an individualized connectome was constructed to represent the subject's functional brain organization. We identified a set of connections that track suicide risk (r = 0.41, p = 0.001) and found that these risk-associated connections were hyper-connected in the frontoparietal network (FPN, p = 0.008, Cohen's d = 0.58) in patients with suicide risk compared to those without. Moreover, ECT treatment significantly reduced (p = 0.001, Cohen's d = 0.56) and normalized these FPN hyper-connections. These findings suggest that connections involving FPN may constitute an important biomarker for evaluating suicide risk and may provide potential targets for interventions such as non-invasive brain stimulation.
自杀是一种与抑郁症密切相关的复杂行为。尽管进行了广泛的研究,但仍然缺乏准确、及时评估自杀风险的客观生物标志物。采用精确静息状态功能磁共振成像(fMRI)方法,对61例有自杀意念(SI)或自杀企图(SA)的抑郁症患者和35例无自杀意念(SI)的抑郁症患者进行研究,探讨自杀风险的功能生物标志物。其中,21名参与者还完成了电休克治疗(ECT)治疗,允许检查同一个体不同风险状态下的功能变化。利用静息状态功能磁共振成像(fMRI)对每个被试的功能网络进行定位,然后构建一个个性化的连接组来代表被试的功能脑组织。我们确定了一组跟踪自杀风险的连接(r = 0.41, p = 0.001),并发现与没有自杀风险的患者相比,有自杀风险的患者的额顶叶网络(FPN, p = 0.008, Cohen’s d = 0.58)中这些与风险相关的连接高度连接。此外,ECT治疗显著减少(p = 0.001, Cohen’s d = 0.56)并使这些FPN超连接正常化。这些发现表明,涉及FPN的连接可能构成评估自杀风险的重要生物标志物,并可能为非侵入性脑刺激等干预措施提供潜在目标。
期刊介绍:
Psychiatry has suffered tremendously by the limited translational pipeline. Nobel laureate Julius Axelrod''s discovery in 1961 of monoamine reuptake by pre-synaptic neurons still forms the basis of contemporary antidepressant treatment. There is a grievous gap between the explosion of knowledge in neuroscience and conceptually novel treatments for our patients. Translational Psychiatry bridges this gap by fostering and highlighting the pathway from discovery to clinical applications, healthcare and global health. We view translation broadly as the full spectrum of work that marks the pathway from discovery to global health, inclusive. The steps of translation that are within the scope of Translational Psychiatry include (i) fundamental discovery, (ii) bench to bedside, (iii) bedside to clinical applications (clinical trials), (iv) translation to policy and health care guidelines, (v) assessment of health policy and usage, and (vi) global health. All areas of medical research, including — but not restricted to — molecular biology, genetics, pharmacology, imaging and epidemiology are welcome as they contribute to enhance the field of translational psychiatry.