Abnormal beta bursts of depression in the orbitofrontal cortex and its relationship with clinical symptoms.

IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY
Li Xue, Xiaowen Hu, Siqi Zhang, Zhongpeng Dai, Hongliang Zhou, Zhilu Chen, Zhijian Yao, Qing Lu
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Abstract

Background: Recent researches have reported that frequency-specific patterns of neural activity contain not only rhythmically sustained oscillations but also transient-bursts of isolated events. The aim of this study was to investigated the correlation between beta burst and depression in order to explore depressive disease and the neurological underpinnings of disease-related symptoms.

Methods: We collected resting-state MEG recordings from 30 depressive patients and a matched 40 healthy controls. A Hidden Markov Model (HMM) was applied on source-space time courses for 78 cortical regions of the AAL atlas and the temporal characteristics of beta burst from the matched HMM states were captured. Group differences were evaluated on these beta burst characteristics after permutation tests and, for the depressive group, associations between burst characteristics and clinical symptom severity were determined using Spearman correlation coefficients.

Results: At a threshold of p=0.05corrected, burst characteristics revealed significant differences between depression patients and controls at the group level, including increased burst amplitude in frontal lobe, decreased burst duration in occipital regions, increased burst rate and decreased burst interval time in some brain regions. Furthermore, burst amplitude in the orbitofrontal cortex (OFC) was positively related to the severity of sleep disturbance and burst rate in the OFC was negatively related to the severity of anxiety in depression patients.

Conclusions: The findings highlight OFC may be a targeted area responsible for the anxiety and sleep disturbance symptom by abnormal beta burst in depressive patients and beta burst characteristics of OFC might serve as a neuro-marker for the depression.

抑郁症患者眶额皮层的异常β爆发及其与临床症状的关系。
背景:最近的研究表明,特定频率的神经活动模式不仅包括有节奏的持续振荡,还包括孤立事件的瞬时爆发。本研究的目的是调查β脉冲串与抑郁症之间的相关性,以探索抑郁症和疾病相关症状的神经学基础:我们收集了30名抑郁症患者和40名健康对照者的静息态脑电记录。方法:我们收集了 30 名抑郁症患者和 40 名健康对照者的静息态 MEG 记录,在 AAL 图谱的 78 个皮层区域的源空间时程上应用了隐马尔可夫模型(HMM),并从匹配的 HMM 状态中捕捉到了贝塔猝发的时间特征。经过置换检验后,评估了这些β脉冲串特征的组间差异,并使用斯皮尔曼相关系数确定了抑郁组的脉冲串特征与临床症状严重程度之间的关联:结果:以 p=0.05 为校正临界值,抑郁症患者和对照组的爆发特征在群体水平上存在显著差异,包括额叶的爆发振幅增大、枕叶区的爆发持续时间缩短、某些脑区的爆发率增大和爆发间隔时间缩短。此外,抑郁症患者眶额皮层(OFC)的爆发振幅与睡眠障碍的严重程度呈正相关,而OFC的爆发率与焦虑的严重程度呈负相关:结论:研究结果表明,OFC可能是抑郁症患者因异常β爆发而产生焦虑和睡眠障碍症状的靶区,OFC的β爆发特征可作为抑郁症的神经标记物。
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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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