Frequency-specific network connectivity impairments linked to suicide attempts in major depressive disorder during the GO/NOGO task

IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY
Zhongpeng Dai , Yi Xia , Hongliang Zhou , Zhilu Chen , Rongxin Zhu , Zhijian Yao , Qing Lu
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引用次数: 0

Abstract

Background

Major depressive disorder (MDD) is a main risk factor of suicide, emphasizing the urgent need for understanding the neurobiological mechanisms underlying suicide attempts (SAs) in depressive patients. We hypothesized that aberrant frequency-specific functional connectivity patterns underlying an executive and inhibition task might be associated with SA in depression.

Methods

The current study enrolled 143 subjects including 43 healthy controls and 87 patients with MDD (43 patients with SA and 44 without SA), who attended a GO/NOGO task during the magnetoencephalography recording. Time-frequency features in the whole-brain sensors and frequency-specific brain network connectivity patterns were estimated. Behavioral data was recorded during the tasks and neurocognitive assessments were conducted.

Results

The SA group exhibited poorest behavioral and neurocognitive assessments performances. Decreased alpha/beta oscillations of the GO condition and increased alpha/beta oscillations of NOGO condition were observed in the SA group. Hypo-activated frontal-limbic connectivity in the alpha band and frontal-occipital connectivity in the beta band were observed in the SA group during the GO trials, meanwhile, hyper-activated frontal-temporal connectivity in the alpha band and frontal-parietal connectivity in the beta band were associated with SA during the NOGO trials. Frequency-specific features were correlated with the severity of suicide risk, neurocognitive assessments, and could be used to predict potential SAs.

Conclusions

Neuroimaging and neurocognitive evidences supported altered alpha/beta oscillations and connectivity patterns associated with SA in depression, suggesting that depressive patients with SA might exhibit impaired cognitive control functions.
重度抑郁症患者在进行 GO/NOGO 任务时,与自杀企图有关的特定频率网络连接损伤
重度抑郁症(MDD)是自杀的主要危险因素,因此迫切需要了解抑郁症患者自杀企图(SAs)的神经生物学机制。我们假设在执行和抑制任务下的异常频率特异性功能连接模式可能与抑郁症中的SA有关。方法本研究纳入143名受试者,其中包括43名健康对照组和87名重度抑郁症患者(43名SA患者和44名非SA患者),他们在脑磁图记录期间参加GO/NOGO任务。估计了全脑传感器的时频特征和特定频率的大脑网络连接模式。在任务过程中记录行为数据,并进行神经认知评估。结果SA组在行为和神经认知评估中表现最差。在SA组中观察到GO状态的α / β振荡降低,NOGO状态的α / β振荡增加。在GO试验中,SA组的α带额缘连通性和β带额枕连通性低激活,而在NOGO试验中,SA组的α带额颞叶连通性和β带额顶叶连通性高激活。频率特异性特征与自杀风险的严重程度、神经认知评估相关,并可用于预测潜在的sa。结论神经影像学和神经认知证据支持抑郁患者与SA相关的α / β振荡和连接模式改变,提示SA患者可能表现出认知控制功能受损。
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来源期刊
Journal of affective disorders
Journal of affective disorders 医学-精神病学
CiteScore
10.90
自引率
6.10%
发文量
1319
审稿时长
9.3 weeks
期刊介绍: The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.
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