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精神分裂症中多种节律的互信息。

Mutual information of multiple rhythms in schizophrenia.

机构信息

Department of Psychology, University of Jaén, Jaén, Spain.

Department of Psychology, St. Agustín University Hospital, Av. San Cristóbal, 2D, 23700, Linares, Jaén, Spain.

出版信息

Brain Struct Funct. 2024 Mar;229(2):285-295. doi: 10.1007/s00429-023-02744-6. Epub 2023 Dec 13.

DOI:10.1007/s00429-023-02744-6
PMID:38091050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10917874/
Abstract

Interactions between different cortical rhythms, such as slow and fast oscillations, have been hypothesized to underlie many cognitive functions. In patients diagnosed with schizophrenia, there is some evidence indicating that the interplay between slow and fast oscillations might be impaired or disrupted. In this study, we investigated multiple oscillatory interactions in schizophrenia using a novel approach based on information theory. This method allowed us to investigate interactions from a new perspective, where two or more rhythm interactions could be analyzed at the same time. We calculated the mutual information of multiple rhythms (MIMR) for EEG segments registered in resting state. Following previous studies, we focused on rhythm interactions between theta, alpha, and gamma. The results showed that, in general, MIMR was higher in patients than in controls for alpha-gamma and theta-gamma couplings. This finding of an increased coupling between slow and fast rhythms in schizophrenia may indicate complex interactions in the Default Mode Network (DMN) related to hyperactivation of internally guided cognition.

摘要

不同皮质节律(如慢波和快波振荡)之间的相互作用,被假设为许多认知功能的基础。在被诊断为精神分裂症的患者中,有一些证据表明,慢波和快波振荡之间的相互作用可能受损或中断。在这项研究中,我们使用一种基于信息论的新方法研究了精神分裂症中的多种振荡相互作用。这种方法使我们能够从一个新的角度来分析相互作用,即可以同时分析两个或更多节律的相互作用。我们对静息状态下记录的 EEG 段计算了多个节律的互信息(MIMR)。基于先前的研究,我们重点关注 theta、alpha 和 gamma 节律之间的相互作用。结果表明,总的来说,与对照组相比,患者的 alpha-gamma 和 theta-gamma 耦合的 MIMR 更高。这一发现在精神分裂症中慢波和快波之间的耦合增加,可能表明与内部导向认知的过度激活有关的默认模式网络(DMN)中的复杂相互作用。

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Prefrontal Lesions Disrupt Posterior Alpha-Gamma Coordination of Visual Working Memory Representations.
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