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Use of Computer Methods for Analyzing Brain Signals to Assess the Success of Adaptation of Labor Migrants to Extreme Climate Conditions

机译:使用计算机方法来分析大脑信号,评估劳动移民适应极端气候条件的成功

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Labor migration is a social phenomenon that is accompanied by many positive and negative aftermaths. One of the negative aftermaths of migration is a strong increase in inclination to mental disorders among migrants. The high development rate of computer technology made it possible to carry out diagnostic measures for somatic and mental diseases in more detail. A widespread method of electrophysiological studies of the human central nervous system is registration of fluctuations in the electrical potentials of the brain from the surface of the skull - electroencephalogram (EEG). Today EEG is a reliable tool for explaining psychological phenomena and human behavior. We used this method to study the changes in the so-called default mode network of the brain (the brain in a state of calm wakefulness) in the processes of adaptation of labor migrants to extreme climate conditions. The article aims to study the relationship between functional changes in the electrophysiological activity of the default mode network with the risk of developing affective pathologies of various origins in labor migrants in the region of the Republic of Sakha (Yakutia) in the process of their adaptation to new climatic and social conditions.
机译:劳工迁移是一种社会现象,伴随着许多积极和消极的后果。迁移的负面的后果之一是移民中精神障碍倾向的强烈增加。计算机技术的高开发速度使得可以更详细地对体细胞和精神疾病进行诊断措施。人体中枢神经系统的电生理学研究的广泛方法是来自颅骨 - 脑电图(EEG)表面的脑电电位的波动的配准。今天EEG是一种可靠的工具,用于解释心理现象和人类行为。我们使用这种方法来研究劳动移民适应极端气候条件的过程中所谓的大脑的默认模式网络(大脑的大脑)。本文旨在研究违约模式网络电生理活动之间的功能变化与萨赫(雅库特共和国)在其适应过程中发育劳动移民中各种起源的情感病理的风险新的气候和社会条件。

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