基于潜狄利克特分配模型的双相情感障碍患者个体自杀风险因素与静息态大脑功能连接模式的关系

IF 5.3 2区 医学 Q1 CLINICAL NEUROLOGY
Xinruo Wei , Junneng Shao , Huan Wang , Xinyi Wang , Li Xue , Rui Yan , Xiaoqin Wang , Zhijian Yao , Qing Lu
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引用次数: 0

摘要

背景:双相情感障碍(BD)中广泛存在的自杀问题及其对患者造成的沉重负担使得开发客观的自杀风险指标成为必要:双相情感障碍(BD)中广泛存在的自杀问题及其对患者造成的沉重负担,促使我们有必要开发客观的风险标志物,以加强对双相情感障碍患者个体自杀风险的预测:本研究招募了 123 名双相情感障碍患者(61 名有自杀未遂史(PSA),62 名无自杀未遂史(NSA))和 68 名健康对照组(HE)。研究采用潜在狄利克特分配(LDA)模型将静息状态功能连通性(RSFC)分解为多种高/低RSFC模式。之后,根据潜因子维度的个体异质性定量结果,分析相关性以检验预测能力:结果:在未引入自杀相关标签的情况下构建的模型产生了三个具有可分离的高/低-RSFC模式的潜因子。在随后的分析中,PSA和NSA的因子分布存在显著差异,显示默认模式网络(DMN)超RSFC因子(因子3)和显著性网络(SN)及中央执行网络(CEN)超RSFC因子(因子1)存在偏差,这表明了预测价值。对个体的表达与其护士自杀风险全球评估(NGASR)的相关性分析表明,因子 3 呈正相关(r = 0.4180,p 结论:本研究提供了可反映异常 RSFC 模式的个体自杀相关风险因素,并探索了与自杀相关的大脑机制,有望为临床决策、及时筛查和干预自杀高危人群提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Individual suicide risk factors with resting-state brain functional connectivity patterns in bipolar disorder patients based on latent Dirichlet allocation model

Background

The widespread problem of suicide and its severe burden in bipolar disorder (BD) necessitate the development of objective risk markers, aiming to enhance individual suicide risk prediction in BD.

Methods

This study recruited 123 BD patients (61 patients with prior suicide attempted history (PSAs), 62 without (NSAs)) and 68 healthy controls (HEs). The Latent Dirichlet Allocation (LDA) model was used to decompose the resting state functional connectivity (RSFC) into multiple hyper/hypo-RSFC patterns. Thereafter, according to the quantitative results of individual heterogeneity over latent factor dimensions, the correlations were analyzed to test prediction ability.

Results

Model constructed without introducing suicide-related labels yielded three latent factors with dissociable hyper/hypo-RSFC patterns. In the subsequent analysis, significant differences in the factor distributions of PSAs and NSAs showed biases on the default-mode network (DMN) hyper-RSFC factor (factor 3) and the salience network (SN) and central executive network (CEN) hyper-RSFC factor (factor 1), indicating predictive value. Correlation analysis of the individuals' expressions with their Nurses' Global Assessment of Suicide Risk (NGASR) revealed factor 3 positively correlated (r = 0.4180, p < 0.0001) and factor 1 negatively correlated (r = − 0.2492, p = 0.0055) with suicide risk. Therefore, it could be speculated that patterns more associated with suicide reflected hyper-connectivity in DMN and hypo-connectivity in SN, CEN.

Conclusions

This study provided individual suicide-associated risk factors that could reflect the abnormal RSFC patterns, and explored the suicide related brain mechanisms, which is expected to provide supports for clinical decision-making and timely screening and intervention for individuals at high risks of suicide.

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来源期刊
CiteScore
12.00
自引率
1.80%
发文量
153
审稿时长
56 days
期刊介绍: Progress in Neuro-Psychopharmacology & Biological Psychiatry is an international and multidisciplinary journal which aims to ensure the rapid publication of authoritative reviews and research papers dealing with experimental and clinical aspects of neuro-psychopharmacology and biological psychiatry. Issues of the journal are regularly devoted wholly in or in part to a topical subject. Progress in Neuro-Psychopharmacology & Biological Psychiatry does not publish work on the actions of biological extracts unless the pharmacological active molecular substrate and/or specific receptor binding properties of the extract compounds are elucidated.
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