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广泛性焦虑症儿童的脑率参数

Brain Rate Parameter in Children with General Anxiety Disorder.

作者信息

Demerdzieva Aneta, Pop-Jordanova Nada

机构信息

Acibadem Sistina Hospital, Sistina Hospita,Skopje, Republic of Macedonia.

Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia.

出版信息

Pril (Makedon Akad Nauk Umet Odd Med Nauki). 2019 May 1;40(1):41-50. doi: 10.2478/prilozi-2019-0002.

DOI:10.2478/prilozi-2019-0002
PMID:31152641
Abstract

INTRODUCTION

Brain rate is parameter correlated to brain electric and metabolic activity.

AIM

The aim of this study was to analyze the results obtained for brain rate parameter as an indicator for general mental arousal in anxious patients and to compare them with results of healthy young people matched in age and gender, as well as with anorectic and hyperactive children.

MATERIAL AND METHODS

The diagnosis for all examinees was made according two statistic manuals (DMSIV- R and ICD-10), medical history, neuropsychological assessment, biochemical analysis and QEEG. In this study we examined the spectra power of the brain waves through quantified EEG (QEEG). The obtained results were exported to brain rate software and then calculated for each region separately. The QEEG spectra power data and the brain rate data were analyzed using Statistica software.

RESULTS

According to sagittal and lateral topography maximal values of brain rate parameter were obtained in group of healthy individuals and in group of anorectic patients. The lowest results were obtained in group of hyperactive children for all three regions.

CONCLUSIONS

The general conclusion will be that pathological conditions in childhood, analyzed in this research, can be defined as conditions of hypoarausal and this can be specific sign of brain dysfunction.

摘要

引言

脑率是与脑电活动和代谢活动相关的参数。

目的

本研究旨在分析将脑率参数作为焦虑症患者一般精神觉醒指标所获得的结果,并将其与年龄和性别匹配的健康年轻人以及厌食症和多动症儿童的结果进行比较。

材料与方法

根据两本统计手册(《精神疾病诊断与统计手册》第四版修订版和《国际疾病分类》第十版)、病史、神经心理学评估、生化分析和定量脑电图对所有受试者进行诊断。在本研究中,我们通过定量脑电图(QEEG)检查脑电波的频谱功率。将获得的结果导出到脑率软件中,然后分别对每个区域进行计算。使用Statistica软件分析QEEG频谱功率数据和脑率数据。

结果

根据矢状面和侧面地形图,在健康个体组和厌食症患者组中获得了脑率参数的最大值。在多动症儿童组的所有三个区域中获得的结果最低。

结论

总的结论是,本研究中分析的儿童期病理状况可定义为觉醒不足状态,这可能是脑功能障碍的特定标志。

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