Cargando…
QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder
BACKGROUND: Autistic spectrum disorders are a group of neurological and developmental disorders associated with social, communication, sensory, behavioral and cognitive impairments, as well as restricted, repetitive patterns of behavior, activities, or interests. The aim of this study was a) to anal...
Autores principales: | , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2959057/ https://www.ncbi.nlm.nih.gov/pubmed/20920283 http://dx.doi.org/10.1186/1753-4631-4-4 |
_version_ | 1782188429773111296 |
---|---|
author | Pop-Jordanova, Nada Zorcec, Tatjana Demerdzieva, Aneta Gucev, Zoran |
author_facet | Pop-Jordanova, Nada Zorcec, Tatjana Demerdzieva, Aneta Gucev, Zoran |
author_sort | Pop-Jordanova, Nada |
collection | PubMed |
description | BACKGROUND: Autistic spectrum disorders are a group of neurological and developmental disorders associated with social, communication, sensory, behavioral and cognitive impairments, as well as restricted, repetitive patterns of behavior, activities, or interests. The aim of this study was a) to analyze QEEG findings of autistic patients and to compare the results with data base; and b) to introduce the calculation of spectrum weighted frequency (brain rate) as an indicator of general mental arousal in these patients. RESULTS: Results for Q-EEG shows generally increased delta-theta activity in frontal region of the brain. Changes in QEEG pattern appeared to be in a non-linear correlation with maturational processes. Brain rate measured in CZ shows slow brain activity (5. 86) which is significantly lower than normal and corresponds to low general mental arousal. Recent research has shown that autistic disorders have as their basis disturbances of neural connectivity. Neurofeedback seems capable of remediating such disturbances when these data are considered as part of treatment planning. CONCLUSIONS: Prognosis of this pervasive disorder depends on the intellectual abilities: the better intellectual functioning, the possibilities for life adaptation are higher QEEG shows generally increased delta-theta activity in frontal region of the brain which is related to poor cognitive abilities. Brain rate measured in CZ shows slow brain activity related to under arousal. Pharmacotherapy combined with behavior therapy, social support and especially neurofeedback technique promise slight improvements |
format | Text |
id | pubmed-2959057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29590572010-10-25 QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder Pop-Jordanova, Nada Zorcec, Tatjana Demerdzieva, Aneta Gucev, Zoran Nonlinear Biomed Phys Research BACKGROUND: Autistic spectrum disorders are a group of neurological and developmental disorders associated with social, communication, sensory, behavioral and cognitive impairments, as well as restricted, repetitive patterns of behavior, activities, or interests. The aim of this study was a) to analyze QEEG findings of autistic patients and to compare the results with data base; and b) to introduce the calculation of spectrum weighted frequency (brain rate) as an indicator of general mental arousal in these patients. RESULTS: Results for Q-EEG shows generally increased delta-theta activity in frontal region of the brain. Changes in QEEG pattern appeared to be in a non-linear correlation with maturational processes. Brain rate measured in CZ shows slow brain activity (5. 86) which is significantly lower than normal and corresponds to low general mental arousal. Recent research has shown that autistic disorders have as their basis disturbances of neural connectivity. Neurofeedback seems capable of remediating such disturbances when these data are considered as part of treatment planning. CONCLUSIONS: Prognosis of this pervasive disorder depends on the intellectual abilities: the better intellectual functioning, the possibilities for life adaptation are higher QEEG shows generally increased delta-theta activity in frontal region of the brain which is related to poor cognitive abilities. Brain rate measured in CZ shows slow brain activity related to under arousal. Pharmacotherapy combined with behavior therapy, social support and especially neurofeedback technique promise slight improvements BioMed Central 2010-09-30 /pmc/articles/PMC2959057/ /pubmed/20920283 http://dx.doi.org/10.1186/1753-4631-4-4 Text en Copyright ©2010 Pop-Jordanova et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Pop-Jordanova, Nada Zorcec, Tatjana Demerdzieva, Aneta Gucev, Zoran QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder |
title | QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder |
title_full | QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder |
title_fullStr | QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder |
title_full_unstemmed | QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder |
title_short | QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder |
title_sort | qeeg characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2959057/ https://www.ncbi.nlm.nih.gov/pubmed/20920283 http://dx.doi.org/10.1186/1753-4631-4-4 |
work_keys_str_mv | AT popjordanovanada qeegcharacteristicsandspectrumweightedfrequencyforchildrendiagnosedasautisticspectrumdisorder AT zorcectatjana qeegcharacteristicsandspectrumweightedfrequencyforchildrendiagnosedasautisticspectrumdisorder AT demerdzievaaneta qeegcharacteristicsandspectrumweightedfrequencyforchildrendiagnosedasautisticspectrumdisorder AT gucevzoran qeegcharacteristicsandspectrumweightedfrequencyforchildrendiagnosedasautisticspectrumdisorder |