EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad

EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad

Dyslexia is a medical condition for people suffering from a learning disability, particularly in reading and writing. This is owing to impairment of the language processing area located in the left hemisphere of the human brain. A statistical survey reveals that 265, 210 Malaysian students are diagn...

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Bibliographic Details
Main Author: Mohamad, Noor Bariah
Format: Thesis
Language:English
Published: 2016
Subjects:
Learning. Learning strategies
Learning ability
Online Access:http://ir.uitm.edu.my/id/eprint/18934/
http://ir.uitm.edu.my/id/eprint/18934/1/TM_NOOR%20BARIAH%20MOHAMAD%20EE%2016_5.pdf
id uitm-18934
recordtype eprints
spelling uitm-189342018-01-29T02:12:17Z http://ir.uitm.edu.my/id/eprint/18934/ EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad Mohamad, Noor Bariah Learning. Learning strategies Learning ability Dyslexia is a medical condition for people suffering from a learning disability, particularly in reading and writing. This is owing to impairment of the language processing area located in the left hemisphere of the human brain. A statistical survey reveals that 265, 210 Malaysian students are diagnosed with dyslexia in 2012. EEG method has been proven to be helpful in detecting dyslexia. However, in working on EEG, the pool of data is gargantuan, thus, wastage in resources and time if optimal electrode placement is not identified. Typically, EEG signals are processed and presented in time or frequency domain, without visual information. Here, this study intends; 1) to determine an optimal set of EEG electrode placement along relaxation and reading-writing neural pathway for normal and dyslexic, 2) to illustrate an EEGbased time and spatial interpretation of activated brain areas, 3) to study the correspondence between the 2D EEG topography and those from fMRI imaging, being the first attempt ever reported. Target population are normal adults (aged 18 to 25), normal HighlQ children, normal AveragelQ children, dyslexic Capable children and dyslexic Poor children (aged 6 to 12). The EEG signals are recorded with electrodes at activation areas along the documented signal pathway of the brain during state of relaxation and reading-writing tasks. FFT is applied to transform the EEG in time domain into frequency domain and visualization of 2D-EEG topography is generated through EEGLab and Open Vibe. Results show that the frequency range of EEG recorded from these electrode during relaxation is 8-13 Hz for all subjects, while that during writing are 13-29 Hz for normal adults, normal HighlQ and dyslexic Capable children, within the sub-bands known for the different neural activities accordingly. These findings conclude that electrodes C3/C4, P3/P4, T7/T8 and FC5/FC6 are suitable as optimal EEG electrode placement for comparison between normal and dyslexic children during reading-writing. Additionally, findings on laterization found that normal HighlQ children clearly highlighted on the left hemisphere, while neural activities of dyslexic Capable children are higher on the right hemisphere and dyslexic Poor children engaged in both left and right hemisphere of the brain. Despite difficulty in finding brain images of the same task and protocol, it is found that 2D EEG topography matched with fMRI brain images from previous research. 2016 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18934/1/TM_NOOR%20BARIAH%20MOHAMAD%20EE%2016_5.pdf Mohamad, Noor Bariah (2016) EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad. Masters thesis, Universiti Teknologi MARA.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Learning. Learning strategies
Learning ability
spellingShingle Learning. Learning strategies
Learning ability
Mohamad, Noor Bariah
EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad
description Dyslexia is a medical condition for people suffering from a learning disability, particularly in reading and writing. This is owing to impairment of the language processing area located in the left hemisphere of the human brain. A statistical survey reveals that 265, 210 Malaysian students are diagnosed with dyslexia in 2012. EEG method has been proven to be helpful in detecting dyslexia. However, in working on EEG, the pool of data is gargantuan, thus, wastage in resources and time if optimal electrode placement is not identified. Typically, EEG signals are processed and presented in time or frequency domain, without visual information. Here, this study intends; 1) to determine an optimal set of EEG electrode placement along relaxation and reading-writing neural pathway for normal and dyslexic, 2) to illustrate an EEGbased time and spatial interpretation of activated brain areas, 3) to study the correspondence between the 2D EEG topography and those from fMRI imaging, being the first attempt ever reported. Target population are normal adults (aged 18 to 25), normal HighlQ children, normal AveragelQ children, dyslexic Capable children and dyslexic Poor children (aged 6 to 12). The EEG signals are recorded with electrodes at activation areas along the documented signal pathway of the brain during state of relaxation and reading-writing tasks. FFT is applied to transform the EEG in time domain into frequency domain and visualization of 2D-EEG topography is generated through EEGLab and Open Vibe. Results show that the frequency range of EEG recorded from these electrode during relaxation is 8-13 Hz for all subjects, while that during writing are 13-29 Hz for normal adults, normal HighlQ and dyslexic Capable children, within the sub-bands known for the different neural activities accordingly. These findings conclude that electrodes C3/C4, P3/P4, T7/T8 and FC5/FC6 are suitable as optimal EEG electrode placement for comparison between normal and dyslexic children during reading-writing. Additionally, findings on laterization found that normal HighlQ children clearly highlighted on the left hemisphere, while neural activities of dyslexic Capable children are higher on the right hemisphere and dyslexic Poor children engaged in both left and right hemisphere of the brain. Despite difficulty in finding brain images of the same task and protocol, it is found that 2D EEG topography matched with fMRI brain images from previous research.
format Thesis
author Mohamad, Noor Bariah
author_facet Mohamad, Noor Bariah
author_sort Mohamad, Noor Bariah
title EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad
title_short EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad
title_full EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad
title_fullStr EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad
title_full_unstemmed EEG-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fMRI Images / Noor Bariah Mohamad
title_sort eeg-based topography of reading-writing pathway for dyslexic with writing disorder as an alternative to fmri images / noor bariah mohamad
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/18934/
http://ir.uitm.edu.my/id/eprint/18934/1/TM_NOOR%20BARIAH%20MOHAMAD%20EE%2016_5.pdf
first_indexed 2023-09-18T23:01:31Z
last_indexed 2023-09-18T23:01:31Z
_version_ 1777418204479488000

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