Nonlinear Analysis of Electroencephalogram in Writing-Disabled Children for a Better Understanding of Brain Functions
Background: Electroencephalogram (EEG) shows the electrical activity of the brain and is one of the most important diagnostic tools for neurological diseases and disabilities. Dysgraphia is one of the most common learning disabilities occurs regardless of the ability to read and is not due to intell...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Isfahan University of Medical Sciences
2014-06-01
|
| Series: | مجله دانشکده پزشکی اصفهان |
| Subjects: | |
| Online Access: | http://jims.mui.ac.ir/index.php/jims/article/view/2579 |
| _version_ | 1797759906040774656 |
|---|---|
| author | Mahboubeh Parastar-Feizabadi Mohammadreza Yazdchi Majid Ghoshuni Peyman Hashemian |
| author_facet | Mahboubeh Parastar-Feizabadi Mohammadreza Yazdchi Majid Ghoshuni Peyman Hashemian |
| author_sort | Mahboubeh Parastar-Feizabadi |
| collection | DOAJ |
| description | Background: Electroencephalogram (EEG) shows the electrical activity of the brain and is one of the most important diagnostic tools for neurological diseases and disabilities. Dysgraphia is one of the most common learning disabilities occurs regardless of the ability to read and is not due to intellectual impairments. Nonlinear methods are used in recent studies to access the electroencephalogram in children with dysgraphia.
Methods: In this study, nonlinear analysis of electroencephalogram in writing-disabled children for a better understanding of brain functions was done. The Renyi entropy estimation and Welch power spectrum estimation methods were used.
Findings: Writing-disabled children's brains were more complex at the time of writing than the rest condition as a result of more erratic behavior and thus, more asynchronous activation of neurons in the central brain zone. There was a higher proportion of Theta/Beta and Theta/Alpha in writing mood showed more brain insufficiency in writing compared to the rest condition.
Conclusion: Neurofeedback, as a new approach in the treatment of learning disabilities, is proposed to modify the electrical activity of the brain in writing-disabled children. |
| first_indexed | 2024-03-12T18:51:12Z |
| format | Article |
| id | doaj.art-04ed3bc60c4b41adabc0e0eab66164b6 |
| institution | Directory Open Access Journal |
| issn | 1027-7595 1735-854X |
| language | fas |
| last_indexed | 2024-03-12T18:51:12Z |
| publishDate | 2014-06-01 |
| publisher | Isfahan University of Medical Sciences |
| record_format | Article |
| series | مجله دانشکده پزشکی اصفهان |
| spelling | doaj.art-04ed3bc60c4b41adabc0e0eab66164b62023-08-02T07:11:54ZfasIsfahan University of Medical Sciencesمجله دانشکده پزشکی اصفهان1027-75951735-854X2014-06-01322835585681588Nonlinear Analysis of Electroencephalogram in Writing-Disabled Children for a Better Understanding of Brain FunctionsMahboubeh Parastar-Feizabadi0Mohammadreza Yazdchi1Majid Ghoshuni2Peyman Hashemian3Department of Biomedical Engineering, School of Engineering, University of Isfahan, Isfahan, IranAssistant Professor, Department of Biomedical Engineering, School of Engineering, University of Isfahan, Isfahan, IranAssistant Professor, Department of Biomedical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, IranAssistant Professor, Department of Psychiatry, School of Medicine, Mashhad University of Medical Sciences, Mashhad, IranBackground: Electroencephalogram (EEG) shows the electrical activity of the brain and is one of the most important diagnostic tools for neurological diseases and disabilities. Dysgraphia is one of the most common learning disabilities occurs regardless of the ability to read and is not due to intellectual impairments. Nonlinear methods are used in recent studies to access the electroencephalogram in children with dysgraphia. Methods: In this study, nonlinear analysis of electroencephalogram in writing-disabled children for a better understanding of brain functions was done. The Renyi entropy estimation and Welch power spectrum estimation methods were used. Findings: Writing-disabled children's brains were more complex at the time of writing than the rest condition as a result of more erratic behavior and thus, more asynchronous activation of neurons in the central brain zone. There was a higher proportion of Theta/Beta and Theta/Alpha in writing mood showed more brain insufficiency in writing compared to the rest condition. Conclusion: Neurofeedback, as a new approach in the treatment of learning disabilities, is proposed to modify the electrical activity of the brain in writing-disabled children.http://jims.mui.ac.ir/index.php/jims/article/view/2579ElectroencephalographyEntropyPower spectral densityLearning disabilityWriting and rest condition |
| spellingShingle | Mahboubeh Parastar-Feizabadi Mohammadreza Yazdchi Majid Ghoshuni Peyman Hashemian Nonlinear Analysis of Electroencephalogram in Writing-Disabled Children for a Better Understanding of Brain Functions مجله دانشکده پزشکی اصفهان Electroencephalography Entropy Power spectral density Learning disability Writing and rest condition |
| title | Nonlinear Analysis of Electroencephalogram in Writing-Disabled Children for a Better Understanding of Brain Functions |
| title_full | Nonlinear Analysis of Electroencephalogram in Writing-Disabled Children for a Better Understanding of Brain Functions |
| title_fullStr | Nonlinear Analysis of Electroencephalogram in Writing-Disabled Children for a Better Understanding of Brain Functions |
| title_full_unstemmed | Nonlinear Analysis of Electroencephalogram in Writing-Disabled Children for a Better Understanding of Brain Functions |
| title_short | Nonlinear Analysis of Electroencephalogram in Writing-Disabled Children for a Better Understanding of Brain Functions |
| title_sort | nonlinear analysis of electroencephalogram in writing disabled children for a better understanding of brain functions |
| topic | Electroencephalography Entropy Power spectral density Learning disability Writing and rest condition |
| url | http://jims.mui.ac.ir/index.php/jims/article/view/2579 |
| work_keys_str_mv | AT mahboubehparastarfeizabadi nonlinearanalysisofelectroencephalograminwritingdisabledchildrenforabetterunderstandingofbrainfunctions AT mohammadrezayazdchi nonlinearanalysisofelectroencephalograminwritingdisabledchildrenforabetterunderstandingofbrainfunctions AT majidghoshuni nonlinearanalysisofelectroencephalograminwritingdisabledchildrenforabetterunderstandingofbrainfunctions AT peymanhashemian nonlinearanalysisofelectroencephalograminwritingdisabledchildrenforabetterunderstandingofbrainfunctions |