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老年精神分裂症患者的微状态动力学及空间复杂性改变

Altered Microstate Dynamics and Spatial Complexity in Late-Life Schizophrenia.

作者信息

Lin Gaohong, Wu Zhangying, Chen Ben, Zhang Min, Wang Qiang, Liu Meiling, Zhang Si, Yang Mingfeng, Ning Yuping, Zhong Xiaomei

机构信息

Center for Geriatric Neuroscience, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.

The First School of Clinical Medicine, Southern Medical University, Guangzhou, China.

出版信息

Front Psychiatry. 2022 Jun 27;13:907802. doi: 10.3389/fpsyt.2022.907802. eCollection 2022.

DOI:10.3389/fpsyt.2022.907802
PMID:35832599
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9271628/
Abstract

BACKGROUND

Resting-state EEG microstate and omega complexity analyses have been widely used to explore deviant brain function in various neuropsychiatric disorders. This study aimed to investigate the features of microstate dynamics and spatial complexity in patients with late-life schizophrenia (LLS).

METHOD

Microstate and omega complexity analyses were performed on resting-state EEG data from 39 in patients with LLS and compared with 40 elderly normal controls (NCs).

RESULT

The duration of microstate classes A and D were significantly higher in patients with LLS compared with NCs. The occurrence of microstate classes A, B, and C was significantly lower in patients with LLS compared with NCs. LLS patients have a lower time coverage of microstate class A and a higher time coverage of class D than NCs. Transition probabilities from microstate class A to B and from class A to C were significantly lower in patients with LLS compared with NCs. Transition probabilities between microstate class B and D were significantly higher in patients with LLS compared with NCs. Global omega complexity and anterior omega complexity were significantly higher in patients with LLS compared with NCs.

CONCLUSION

This study revealed an altered pattern of microstate dynamics and omega complexity in patients with LLS. This may reflect the disturbed neural basis underlying LLS and enhance the understanding of the pathophysiology of LLS.

摘要

背景

静息态脑电图微状态和欧米伽复杂性分析已被广泛用于探索各种神经精神疾病中异常的脑功能。本研究旨在调查老年精神分裂症(LLS)患者的微状态动力学和空间复杂性特征。

方法

对39例LLS患者的静息态脑电图数据进行微状态和欧米伽复杂性分析,并与40名老年正常对照(NCs)进行比较。

结果

与NCs相比,LLS患者的微状态A类和D类持续时间显著更长。与NCs相比,LLS患者的微状态A类、B类和C类出现频率显著更低。与NCs相比,LLS患者微状态A类的时间覆盖率更低,D类的时间覆盖率更高。与NCs相比,LLS患者从微状态A类到B类以及从A类到C类的转换概率显著更低。与NCs相比,LLS患者微状态B类和D类之间的转换概率显著更高。与NCs相比,LLS患者的整体欧米伽复杂性和前部欧米伽复杂性显著更高。

结论

本研究揭示了LLS患者微状态动力学和欧米伽复杂性的改变模式。这可能反映了LLS潜在的神经基础紊乱,并增强了对LLS病理生理学的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/3cabce66ad6e/fpsyt-13-907802-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/cbcb3f1d5d2c/fpsyt-13-907802-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/29de178da97c/fpsyt-13-907802-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/ed44c9d03074/fpsyt-13-907802-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/3cabce66ad6e/fpsyt-13-907802-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/cbcb3f1d5d2c/fpsyt-13-907802-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/29de178da97c/fpsyt-13-907802-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/ed44c9d03074/fpsyt-13-907802-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/9271628/3cabce66ad6e/fpsyt-13-907802-g0004.jpg

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