Trajkovic Jelena, Ricci Giulia, Pirazzini Gabriele, Tarasi Luca, Di Gregorio Francesco, Magosso Elisa, Ursino Mauro, Romei Vincenzo
Centro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, Cesena 47521, Italy.
Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6229 ER, The Netherlands.
Schizophr Bull. 2025 Feb 4. doi: 10.1093/schbul/sbaf004.
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.
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.
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.
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.
振荡同步在建立不同脑区之间的功能连接中起着关键作用。在被认为是一种神经精神性脱节综合征的精神分裂症领域,脑网络组织中出现了明显的异常。我们旨在研究具有高精神分裂症型特质的健康个体的静息态功能网络是否已经改变,突出脑节律在驱动脑网络改变中的关键影响。
对精神分裂症型得分低和高的健康参与者进行了两分钟的静息态脑电图记录。随后,使用频谱格兰杰因果关系来计算θ、α、β和γ频段的功能连接,并采用图论指标来评估全局和局部脑网络特征。
结果表明,高精神分裂症型个体在θ和α频率下表现出较低的局部效率,并且在θ、α和β频率下全局效率降低。此外,高精神分裂症型的特征是节点中心性较低以及功能连接的频率特异性降低,自上而下的连接在较慢频率下大多减少,而自下而上的连接在较快节律下减少。
这些结果表明,具有较高患精神病风险的健康个体表现出功能脑组织结构效率较低,同时功能连接系统性降低,影响自下而上和自上而下的处理。这些频率特异性的网络改变为精神分裂症的维度模型提供了有力支持,突出了高精神分裂症型个体独特的神经生理特征。