Aberrant Functional Connectivity and Brain Network Organization in High-Schizotypy Individuals: An Electroencephalography Study

IF 4.8 1区 医学 Q1 PSYCHIATRY Schizophrenia Bulletin Pub Date : 2025-02-04 DOI:10.1093/schbul/sbaf004
Jelena Trajkovic, Giulia Ricci, Gabriele Pirazzini, Luca Tarasi, Francesco Di Gregorio, Elisa Magosso, Mauro Ursino, Vincenzo Romei
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Abstract

Background and Hypothesis Oscillatory synchrony plays a crucial role in establishing functional connectivity across distinct brain regions. Within the realm of schizophrenia, suggested to be a neuropsychiatric disconnection syndrome, discernible aberrations arise in the organization of brain networks. We aim to investigate whether the resting-state functional network is already altered in healthy individuals with high schizotypy traits, highlighting the pivotal influence of brain rhythms in driving brain network alterations. Study Design Two-minute resting-state electroencephalography recordings were conducted on healthy participants with low and high schizotypy scores. Subsequently, spectral Granger causality was used to compute functional connectivity in theta, alpha, beta, and gamma frequency bands, and graph theory metrics were employed to assess global and local brain network features. Study Results Results highlighted that high-schizotypy individuals exhibit a lower local efficiency in theta and alpha frequencies and a decreased global efficiency across theta, alpha, and beta frequencies. Moreover, high schizotypy is characterized by a lower nodes’ centrality and a frequency-specific decrease of functional connectivity, with a reduced top-down connectivity mostly in slower frequencies and a diminished bottom-up connectivity in faster rhythms. Conclusions These results show that healthy individuals with a higher risk of developing psychosis exhibit a less efficient functional brain organization, coupled with a systematic decrease in functional connectivity impacting both bottom-up and top-down processing. These frequency-specific network alterations provide robust support for the dimensional model of schizophrenia, highlighting distinctive neurophysiological signatures in high-schizotypy individuals.
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高分裂型个体的异常功能连通性和脑网络组织:脑电图研究
背景与假设振荡同步在不同脑区的功能连接中起着至关重要的作用。精神分裂症被认为是一种神经精神分离综合症,在精神分裂症领域,大脑网络的组织出现了明显的异常。我们的目的是研究具有高分裂型特征的健康个体的静息状态功能网络是否已经改变,强调脑节律在驱动脑网络改变中的关键影响。研究设计对精神分裂型得分高和低的健康参与者进行两分钟静息状态脑电图记录。随后,使用谱格兰杰因果关系计算theta、alpha、beta和gamma频段的功能连通性,并使用图论度量来评估全局和局部大脑网络特征。研究结果强调,高分裂型个体在θ和α频率上表现出较低的局部效率,在θ、α和β频率上表现出较低的整体效率。此外,高分裂型的特点是节点的中心性较低,功能连接的频率特异性降低,自上而下的连接减少,主要是在较慢的频率下,自下而上的连接减少,在较快的节奏下。这些结果表明,患精神病风险较高的健康个体表现出效率较低的功能性大脑组织,以及影响自下而上和自上而下加工的功能连接的系统性减少。这些频率特异性网络改变为精神分裂症的维度模型提供了强有力的支持,突出了高分裂型个体的独特神经生理特征。
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来源期刊
Schizophrenia Bulletin
Schizophrenia Bulletin 医学-精神病学
CiteScore
11.40
自引率
6.10%
发文量
163
审稿时长
4-8 weeks
期刊介绍: Schizophrenia Bulletin seeks to review recent developments and empirically based hypotheses regarding the etiology and treatment of schizophrenia. We view the field as broad and deep, and will publish new knowledge ranging from the molecular basis to social and cultural factors. We will give new emphasis to translational reports which simultaneously highlight basic neurobiological mechanisms and clinical manifestations. Some of the Bulletin content is invited as special features or manuscripts organized as a theme by special guest editors. Most pages of the Bulletin are devoted to unsolicited manuscripts of high quality that report original data or where we can provide a special venue for a major study or workshop report. Supplement issues are sometimes provided for manuscripts reporting from a recent conference.
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