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Long-term correlation of the electrocorticogram as a bioindicator ofbrain exposure to ionizing radiation

机译:皮层脑电图作为生物指标的长期相关性脑暴露于电离辐射

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摘要

Understanding the effects of radiation and its possible influence on the nervous system are of great clinical interest. However, there have been few electrophysiological studies on brain activity after exposure to ionizing radiation (IR). A new methodological approach regarding the assessment of the possible effects of IR on brain activity is the use of linear and nonlinear mathematical methods in the analysis of complex time series, such as brain oscillations measured using the electrocorticogram (ECoG). The objective of this study was to use linear and nonlinear mathematical methods as biomarkers of gamma radiation regarding cortical electrical activity. Adult Wistar rats were divided into 3 groups: 1 control and 2 irradiated groups, evaluated at 24 h (IR24) and 90 days (IR90) after exposure to 18 Gy of gamma radiation from a cobalt-60 radiotherapy source. The ECoG was analyzed using power spectrum methods for the calculation of the power of delta, theta, alpha and beta rhythms and by means of the α-exponent of the detrended fluctuation analysis (DFA). Using both mathematical methods it was possible to identify changes in the ECoG, and to identify significant changes in the pattern of the recording at 24 h after irradiation. Some of these changes were persistent at 90 days after exposure to IR. In particular, the theta wave using the two methods showed higher sensitivitythan other waves, suggesting that it is a possible biomarker of exposure to IR.
机译:了解辐射的影响及其对神经系统的可能影响具有重大的临床意义。但是,关于电离辐射(IR)暴露后大脑活动的电生理研究很少。关于评估IR对大脑活动的可能影响的一种新方法学方法是,在复杂时间序列的分析中使用线性和非线性数学方法,例如使用脑电图(ECoG)测量的大脑振动。这项研究的目的是使用线性和非线性数学方法作为有关皮层电活动的伽马辐射的生物标记。将成年Wistar大鼠分成3组:1个对照组和2个受辐照组,分别在暴露于来自钴60放射治疗源的18 Gyγ射线照射后24小时(IR24)和90天(IR90)进行评估。使用功率谱方法对ECoG进行了分析,以计算delta,θ,α和β节奏的功率,并通过去趋势波动分析(DFA)的α指数进行了分析。使用这两种数学方法,可以确定ECoG的变化,并可以确定辐照后24 h记录模式的重大变化。其中一些变化在暴露于IR后90天持续存在。特别是,使用两种方法的θ波显示出更高的灵敏度比其他波浪,表明这可能是暴露于红外的生物标志物。

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