Electroencephalogram (EEG) signature of autism spectrum disorder (ASD) children
The purpose of this research was to explore, analyse and describe the brainwave pattern of Autism Spectrum Disorder (ASD) children using Quantitative Electroencephalogram (qEEG) and suggesting the right neurofeedback training (NFT) protocol. Quantitative Electroencephalogram primarily measures th...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | English English |
| منشور في: |
2015
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://ir.unimas.my/id/eprint/10760/1/Electroencephalogram%20%28EEG%29%20Signature%20of%20Autism%20Spectrum%20Disorder%20%28ASD%29%20Children%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/10760/8/Nurul%20Aina%20Mohd%20Mahayuddin%20ft.pdf |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| الملخص: | The purpose of this research was to explore, analyse and describe the brainwave
pattern of Autism Spectrum Disorder (ASD) children using Quantitative
Electroencephalogram (qEEG) and suggesting the right neurofeedback training
(NFT) protocol. Quantitative Electroencephalogram primarily measures the
electric potential field at the scalp surface. Quantitative Electroencephalogram
mapping helped to provide an accurate assessment for placement of protocol as
compared to behavioural checklist. Then, the researcher discussed all
improvements in terms of behaviour modification in correlation with the changes
of brainwave patterns. One of every 150 children born today in Malaysia has
Autism (Malaysian Psychiatric Association, 2010). Their numbers are increasing;
therefore, it is vital to do research on this disorder to improve the quality of life
and reduce stress among parents and caregivers. Although there is no cure,
appropriate management such as combination of neurofeedback and traditional
method may foster normal development and reduce undesirable behaviours of
ASD children. This study involved nine participants who were purposely selected
from Kuching Autistic Association (KAA) with a diagnosis of having ASD
symptoms by medical specialist. Their brain topography was obtained using
qEEG brain mapping. Quantitative Electroencephalogram brain mapping followed
by an average of 46 NFT sessions to monitor their brainwave. A neurofeedback
protocol was designed to suppress the ratio of Theta and Alpha (4-10 Hz) to Beta
(16-20) as well as to train the individual to normalize abnormal EEG frequencies.
Neurofeedback protocols changed over time depending on participants’ mood,
health condition and behaviour during training. Secondary qEEG recordings were
made to see any brainwave alteration after neurofeedback training. There were
series of observations for all participants before NFT as well as a series of
observations after the NFT. Findings from qEEG mapping of this research were
categorized under the third sub group - high Delta/Theta waves - as discovered by
Michael Linden (2004) in his research on the four subtypes of autism.
Quantitative Electroencephalogram discovers a pattern of high delta brainwave at
prefrontal and frontal area, insufficient theta, alpha and beta brainwave in most of
the brain region of ASD children. With regards to connectivity, main findings
showed frontal lobe hyperconnectivity as well as hypoconnectivity of frontal
region to other regions of the brain and diminished connectivity in language areas.
The second qEEG session shows generally decreased Delta activity in frontal
region of the brain, increased of theta, alpha and beta activity at most of the brain
regions. The results have shown remarkable improvements in the participant’s
speech, language, communication, sociability, cognitive and behaviour after five
months. This research described that the brain lateralizations of ASD children
were different from the brainwave pattern of the normal children and
demonstrates the efficacy of NFT to help regulate the abnormal brainwaves and behaviour and improve the neuronal regulation of the brain as indicated by the
normal features of the brainwaves. |
|---|