Alterations in temporal-spatial brain entropy in treatment-resistant depression treated with nitrous oxide: Evidence from resting-state EEG

IF 3.6 3区医学 Q1 CLINICAL NEUROLOGY Clinical Neurophysiology Pub Date : 2025-02-03 DOI:10.1016/j.clinph.2025.01.014

Weizhuang Kong , Zhe Sun , Jing Zhu , Lingjiang Li , Guanru Wang , Xuexiao Shao , Xiaowei Li , Bin Hu

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Abstract

Objective

Entropy analysis can quantify the dynamic states of the brain and reflect its information processing capacity. Nitrous oxide has shown rapid antidepressant effects in treatment-resistant depression (TRD) patients, but its biomarkers are not yet established.

Methods

We recruited 44 TRD patients and randomly assigned them to two groups: one received a 1-hour nitrous oxide inhalation treatment, while the other received a placebo. Resting-state EEG (rs-EEG) scans were conducted at baseline and 24 h post-treatment. A novel approach based multivariate multiscale entropy (MMSE) was employed to analyze temporal-spatial brain entropy (ts-BEN) across four hierarchical brain regions.

Results

TRD patients exhibited significant time-dependent increases in BEN in the frontal lobe region (sensor space: time scales 5–10; source space: time scales 1–5), changes not previously observed. Temporal-spatial BEN correlated with the severity of TRD symptoms and treatment efficacy, indicating adaptive adjustments in brain resting states.

Conclusion

MMSE offers a novel supplementary method for rs-EEG BEN analysis, quantifying the sensitivity of ts-BEN in monitoring nitrous oxide treatment effects. Changes in frontal region ts-BEN may serve as potential biomarkers for TRD and its treatment outcomes.

Significance

Our findings enhance the understanding of the physiological mechanisms underlying nitrous oxide treatment for TRD, aiding in clinical diagnosis.

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氧化亚氮治疗难治性抑郁症时脑时空熵的改变：静息状态脑电图的证据

目的熵分析可以量化大脑的动态状态，反映大脑的信息处理能力。氧化亚氮在难治性抑郁症（TRD）患者中显示出快速的抗抑郁作用，但其生物标志物尚未确定。方法招募44例TRD患者，随机分为两组：一组接受1小时氧化亚氮吸入治疗，另一组接受安慰剂治疗。静息状态脑电图（rs-EEG）扫描分别在基线和治疗后24小时进行。采用一种基于多元多尺度熵（MMSE）的新方法分析了脑时空熵（ts-BEN）在4个脑分层区域的分布。结果strd患者额叶区域BEN呈明显的时间依赖性增高(传感器空间：时间尺度5-10；来源空间：时间尺度1-5)，以前未观察到的变化。时空BEN与TRD症状严重程度及治疗效果相关，提示脑静息状态的适应性调整。结论mmse为rs-EEG BEN分析提供了一种新的补充方法，量化了ts-BEN监测氧化亚氮处理效果的敏感性。额叶区ts-BEN的变化可能作为TRD及其治疗结果的潜在生物标志物。意义我们的研究结果增强了对氧化亚氮治疗TRD的生理机制的理解，有助于临床诊断。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical Neurophysiology 医学-临床神经学

CiteScore

8.70

自引率

6.40%

发文量

932

审稿时长

59 days

期刊介绍： As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology. Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.