<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Introduction:</bold> Brain rate is parameter correlated to brain electric and metabolic activity.<bold>Aim:</bold> 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.<bold>Material and Methods:</bold> 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.<bold>Results:</bold> 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.<bold>Conclusions:</bold> 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.</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.

Brain Rate Parameter in Children with General Anxiety Disorder

PRILOZI

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Brain Rate Parameter in Children with General Anxiety Disorder"}

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 in Children with General Anxiety Disorder

Data publikacji: 31 maj 2019

Zakres stron: 41 - 50

DOI: https://doi.org/10.2478/prilozi-2019-0002

Słowa kluczowe
QEEG, brain rate

© 2019 Aneta Demerdzieva et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Brain Rate Parameter in Children with General Anxiety Disorder

Data publikacji: 31 maj 2019

Zakres stron: 41 - 50

DOI: https://doi.org/10.2478/prilozi-2019-0002

Słowa kluczoweQEEG, brain rate

© 2019 Aneta Demerdzieva et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
QEEG, brain rate