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研究领域标准框架下焦虑症患者的状态和特质焦虑相关γ振荡

State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework.

作者信息

Kim Kyoung Min, Bong Su Hyun, Byeon Jun, Kim Jun Won

机构信息

Department of Psychiatry, Dankook University College of Medicine, Cheonan, Republic of Korea.

Department of Psychiatry, Daegu Catholic University School of Medicine, Daegu, Republic of Korea.

出版信息

Psychiatry Investig. 2022 Jun;19(6):443-450. doi: 10.30773/pi.2022.0011. Epub 2022 Jun 15.

Abstract

OBJECTIVE

Diagnosis of anxiety has relied primarily on self-report. This study aimed to investigate the neural correlates of anxiety with quantitative electroencephalography (qEEG) focusing on the state and trait anxiety defined according to the Research Domain Criteria framework existing across the differential diagnosis, rather than focusing on the diagnosis.

METHODS

A total of 41 participants who visited a psychiatric clinic underwent resting state EEG and completed the State-Trait Anxiety Inventory. The absolute power of six frequency bands were analyzed: delta (1-4 Hz), theta (4-8 Hz), alpha (8-10 Hz), fast alpha (10-13.5 Hz), beta (13.5-30 Hz), and gamma (30-80 Hz).

RESULTS

State anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r=-0.484) and central (Cz, r=-0.523) regions, while trait anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r= -0.523), central (Cz, r=-0.568), parietal (P7, r=-0.500; P8, r=-0.541), and occipital (O1, r=-0.510; O2, r=-0.480) regions.

CONCLUSION

The present study identified the significantly negative correlations between the anxiety level and gamma band power in fronto-central and posterior regions assessed at resting status. Further studies to confirm our findings and identify the neural correlates of anxiety are needed.

摘要

目的

焦虑症的诊断主要依赖于自我报告。本研究旨在通过定量脑电图(qEEG)来探究焦虑症的神经关联,重点关注根据跨鉴别诊断的研究领域标准框架所定义的状态焦虑和特质焦虑,而非聚焦于诊断本身。

方法

共有41名前往精神科诊所就诊的参与者接受了静息态脑电图检查,并完成了状态-特质焦虑量表。分析了六个频段的绝对功率:δ波(1-4赫兹)、θ波(4-8赫兹)、α波(8-10赫兹)、快α波(10-13.5赫兹)、β波(13.5-30赫兹)和γ波(30-80赫兹)。

结果

状态焦虑得分与额叶(Fz,r=-0.484)和中央区(Cz,r=-0.523)的绝对γ波功率显著负相关,而特质焦虑得分与额叶(Fz,r=-0.523)、中央区(Cz,r=-0.568)、顶叶(P7,r=-0.500;P8,r=-0.541)和枕叶(O1,r=-0.510;O2,r=-0.480)区域的绝对γ波功率显著负相关。

结论

本研究发现静息状态下评估的额中央区和后部区域的焦虑水平与γ频段功率之间存在显著负相关。需要进一步的研究来证实我们的发现并确定焦虑症的神经关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1275/9233952/d6ef1bb1e988/pi-2022-0011f1.jpg

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