Lytaev Sergey
Department of Normal Physiology, St. Petersburg State Pediatric Medical University, 194100 Saint Petersburg, Russia.
Behav Sci (Basel). 2023 Mar 15;13(3):258. doi: 10.3390/bs13030258.
Methodological approaches to assess the human cognitive status are constantly evolving. At the same time, the creation of new assessment methods is accompanied by traditional research. This paper discusses the direction of research on the search for markers of stress resilience. The basis for the formation of the research algorithm was the assessment of activation factors of emotional states, including preceding stress-sensory (cognitive and informational) and psycho-emotional factors. This was determined using methodological techniques, stress factors, working conditions in professional teams, etc. For an express analysis (25-40 min) of diagnosing stress resistance, a research algorithm was justified, consisting of clinical and psychological testing, as well as EEG with traditional tests and analysis of indicators and spectra. Therefore, this research was aimed at the psychological and neurophysiological substantiation of approaches to express algorithms for assessing cognitive functions and resilience to stress under time deficit. A study on 102 healthy subjects and 38 outpatients of a neuropsychiatric clinic was performed. Basic outcomes: the integrative indicator SCL-90-R-"general index of severity" has a high statistical significance ( < 0.05) in both healthy subjects and neuropsychiatric outpatients. The effectiveness of the Mini-Mult test in conditions of time deficit is determined by the results of the scales of hypochondria, depression, hysteria, paranoia, psychasthenia, schizoid and hypomania ( < 0.05). Furthermore, we used a line of logical thinking techniques. A line of four logical methods is highly informative in assessing the mental status in conditions of time deficit. EEG power indices and spectra in theta, delta and alpha frequency ranges are an effective reflection of cognitive status. In this article, a testing algorithm as a variant for assessing neurocognitive status in screening studies of large groups is discussed.
评估人类认知状态的方法学途径在不断发展。与此同时,新评估方法的创建伴随着传统研究。本文讨论了寻找应激恢复力标志物的研究方向。研究算法形成的基础是对情绪状态激活因素的评估,包括先前的应激感官(认知和信息)及心理情绪因素。这是通过方法学技术、应激因素、专业团队的工作条件等确定的。为了进行快速分析(25 - 40分钟)以诊断应激抵抗力,一种由临床和心理测试以及结合传统测试的脑电图和指标及频谱分析组成的研究算法被证明是合理的。因此,本研究旨在从心理和神经生理学角度为在时间不足情况下评估认知功能和应激恢复力的快速算法方法提供依据。对102名健康受试者和38名神经精神科门诊患者进行了研究。基本结果:综合指标SCL - 90 - R - “严重程度总指数”在健康受试者和神经精神科门诊患者中均具有高度统计学意义(<0.05)。简易多项测试在时间不足情况下的有效性由疑病症、抑郁症、癔症、偏执狂、神经衰弱、精神分裂样和轻躁狂量表的结果确定(<0.05)。此外,我们使用了一系列逻辑思维技术。一组四种逻辑方法在评估时间不足情况下的精神状态时具有很高的信息量。θ、δ和α频率范围内的脑电图功率指标和频谱是认知状态的有效反映。本文讨论了一种测试算法,作为在大群体筛查研究中评估神经认知状态的一种变体。