Default Brain System in Schizophrenia

IF 0.8 Q4 OPTICS

Optical Memory and Neural Networks Pub Date : 2025-07-02 DOI:10.3103/S1060992X25700067

A. Vartanov, M. Krysko, D. Leonovich, O. Shevaldova, S. Mirova, A. Zeltser, V. Zakurazhnaia, A. Ochneva, D. Andreyuk, G. Kostyuk

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Abstract

The default mode network (DMN), also referred to as the “Passive Mode Brain Network” (PMBN), serves as a network of active brain regions while restfully stated. An abnormal homogeneity of the DMN network has been implicated in the first episode of schizophrenia, a mental disorder characterized by perceptual disturbances. This study aimed to investigate the activity and functional connectivity of the DMN in female schizophrenia patients using an innovative brain activity localization technique known as the “Virtually implanted electrode”. EEG was registered in 22 female patients diagnosed with schizophrenia, including 17 cases of F20, 3 cases of F23, and 22 healthy controls, being in a state of quiet wakefulness. The results indicated a complex system of changes in schizophrenia patients compared to controls, attributed to weakening connections originating from structures with reduced activity and reinforcing of other connections, including inhibitory ones. These findings underscore the neurobiological basis of schizophrenia, investigating the DMN.

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精神分裂症的默认大脑系统

默认模式网络（DMN），也被称为“被动模式大脑网络”（PMBN），在静息状态下充当活跃大脑区域的网络。DMN网络的异常同质性与精神分裂症的首次发作有关，精神分裂症是一种以知觉障碍为特征的精神障碍。本研究旨在利用一种被称为“虚拟植入电极”的创新脑活动定位技术，研究女性精神分裂症患者DMN的活动和功能连接。22例确诊为精神分裂症的女性患者，其中F20 17例，F23 3例，健康对照22例，均处于安静清醒状态。结果表明，与对照组相比，精神分裂症患者有一个复杂的变化系统，原因是源于活性降低的结构的连接减弱，以及其他连接（包括抑制性连接）的加强。这些发现强调了精神分裂症的神经生物学基础，研究了DMN。

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来源期刊

Optical Memory and Neural Networks OPTICS-

CiteScore

1.50

自引率

11.10%

发文量

期刊介绍： The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.