NDLI: EEG-based time and spatial interpretation of activation areas for relaxation and words writing between poor and capable dyslexic children

Content Provider	IEEE Xplore Digital Library
Author	Mohamad, N.B. Lee, K.Y. Mansor, W. Mahmoodin, Z. Fadzal, C.W.N.F.C. Amirin, S.
Copyright Year	2015
Description	Author affiliation: Dyslexia Assoc. Centre, Kuala Lumpur, Malaysia (Amirin, S.) \|\| Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia (Mohamad, N.B.; Lee, K.Y.; Mansor, W.; Fadzal, C.W.N.F.C.) \|\| British Malaysian Inst., Univ. Kuala Lumpur, Kuala Lumpur, Malaysia (Mahmoodin, Z.)
Abstract	Symptoms of dyslexia such as difficulties with accurate and/or fluent word recognition, and/or poor spelling as well as decoding abilities, are easily misinterpreted as laziness and defiance amongst school children. Indeed, 37.9% of 699 school dropouts and failures are diagnosed as dyslexic. Currently, Screening for dyslexia relies heavily on therapists, whom are few and subjective, yet objective methods are still unavailable. EEG has long been a popular method to study the cognitive processes in human such as language processing and motor activity. However, its interpretation is limited to time and frequency domain, without visual information, which is still useful. Here, our research intends to illustrate an EEG-based time and spatial interpretation of activated brain areas for the poor and capable dyslexic during the state of relaxation and words writing, being the first attempt ever reported. From the 2D distribution of EEG spectral at the activation areas and its progress with time, it is observed that capable dyslexics are able to relax compared to poor dyslexics. During the state of words writing, neural activities are found higher on the right hemisphere than the left hemisphere of the capable dyslexics, which suggests a neurobiological compensation pathway in the right hemisphere, during reading and writing, which is not observed in the poor dyslexics.
Starting Page	4757
Ending Page	4760
File Size	779142
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319457
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Writing Electrodes Spectral analysis Yttrium Visualization
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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