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精神分裂症患者静息态β振荡中的长程时间相关性降低。

Long-Range Temporal Correlations in Resting State Beta Oscillations are Reduced in Schizophrenia.

作者信息

Moran James K, Michail Georgios, Heinz Andreas, Keil Julian, Senkowski Daniel

机构信息

Department of Psychiatry and Psychotherapy, St. Hedwig Hospital, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Biological Psychology, Christian-Albrechts University Kiel, Kiel, Germany.

出版信息

Front Psychiatry. 2019 Jul 19;10:517. doi: 10.3389/fpsyt.2019.00517. eCollection 2019.

Abstract

Symptoms of schizophrenia (SCZ) are likely to be generated by genetically mediated synaptic dysfunction, which contribute to large-scale functional neural dysconnectivity. Recent electrophysiological studies suggest that this dysconnectivity is present not only at a spatial level but also at a temporal level, operationalized as long-range temporal correlations (LRTCs). Previous research suggests that alpha and beta frequency bands have weaker temporal stability in people with SCZ. This study sought to replicate these findings with high-density electroencephalography (EEG), enabling a spatially more accurate analysis of LRTC differences, and to test associations with characteristic SCZ symptoms and cognitive deficits. A 128-channel EEG was used to record eyes-open resting state brain activity of 23 people with SCZ and 24 matched healthy controls (HCs). LRTCs were derived for alpha (8-12 Hz) and beta (13-25 Hz) frequency bands. As an exploratory analysis, LRTC was source projected using sLoreta. People with SCZ showed an area of significantly reduced beta-band LRTC compared with HCs over bilateral posterior regions. There were no between-group differences in alpha-band activity. Individual symptoms of SCZ were not related to LRTC values nor were cognitive deficits. The study confirms that people with SCZ have reduced temporal stability in the beta frequency band. The absence of group differences in the alpha band may be attributed to the fact that people had, in contrast to previous studies, their eyes open in the current study. Taken together, our study confirms the utility of LRTC as a marker of network instability in people with SCZ and provides a novel empirical perspective for future examinations of network dysfunction salience in SCZ research.

摘要

精神分裂症(SCZ)的症状可能由基因介导的突触功能障碍产生,这会导致大规模功能性神经连接障碍。最近的电生理研究表明,这种连接障碍不仅存在于空间层面,也存在于时间层面,表现为长程时间相关性(LRTCs)。先前的研究表明,SCZ患者的α和β频段具有较弱的时间稳定性。本研究旨在通过高密度脑电图(EEG)重复这些发现,从而在空间上更准确地分析LRTC差异,并测试其与SCZ特征性症状和认知缺陷的关联。使用128通道EEG记录了23名SCZ患者和24名匹配的健康对照(HCs)睁眼静息状态下的大脑活动。推导了α(8 - 12Hz)和β(13 - 25Hz)频段的LRTCs。作为探索性分析,使用sLoreta对LRTC进行源投射。与HCs相比,SCZ患者双侧后区的β频段LRTC显著降低。α频段活动在组间无差异。SCZ的个体症状与LRTC值无关,认知缺陷也与之无关。该研究证实了SCZ患者β频段的时间稳定性降低。α频段组间无差异可能归因于与先前研究不同的是,本研究中受试者是睁眼状态。综上所述,我们的研究证实了LRTC作为SCZ患者网络不稳定性标志物的效用,并为未来SCZ研究中网络功能障碍显著性的检查提供了新的实证视角。

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