List of Publications
There are numbers of autism related research can be found in Malaysia that generally focus on the ASD, learning disorder, communication aids, therapy and many more. The list of publications is provided below:
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2013 |
Assaf, M; Hyatt, C J; Wong, C G; Johnson, M R; Schultz, R T; Hendler, T; Pearlson, G D Mentalizing and motivation neural function during social interactions in autism spectrum disorders Journal Article NeuroImage: Clinical, 3 , pp. 321-331, 2013, ISSN: 22131582, (cited By 28). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Autism, Brain Function, Children, Computer, Controlled Study, Female, Functional Magnetic Resonance Imaging, Games, Groups by Age, Human, Major Clinical Study, Male, Mental Capacity, Middle Temporal Gyrus, Motivation, Motor Performance, Nerve Cell, Nerve Function, Nucleus Accumbens, Priority Journal, Punishment, Reward, School Child, Social Cognition, Social Environment, Social Interactions, Task Performance, Theory of Mind, Vision @article{Assaf2013321, title = {Mentalizing and motivation neural function during social interactions in autism spectrum disorders}, author = {M Assaf and C J Hyatt and C G Wong and M R Johnson and R T Schultz and T Hendler and G D Pearlson}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885394367&doi=10.1016%2fj.nicl.2013.09.005&partnerID=40&md5=b63630c997b658167792266e40e855b6}, doi = {10.1016/j.nicl.2013.09.005}, issn = {22131582}, year = {2013}, date = {2013-01-01}, journal = {NeuroImage: Clinical}, volume = {3}, pages = {321-331}, abstract = {Autism Spectrum Disorders (ASDs) are characterized by core deficits in social functions. Two theories have been suggested to explain these deficits: mind-blindness theory posits impaired mentalizing processes (i.e. decreased ability for establishing a representation of others' state of mind), while social motivation theory proposes that diminished reward value for social information leads to reduced social attention, social interactions, and social learning. Mentalizing and motivation are integral to typical social interactions, and neuroimaging evidence points to independent brain networks that support these processes in healthy individuals. However, the simultaneous function of these networks has not been explored in individuals with ASDs. We used a social, interactive fMRI task, the Domino game, to explore mentalizing- and motivation-related brain activation during a well-defined interval where participants respond to rewards or punishments (i.e. motivation) and concurrently process information about their opponent's potential next actions (i.e. mentalizing). Thirteen individuals with high-functioning ASDs, ages 12-24, and 14 healthy controls played fMRI Domino games against a computer-opponent and separately, what they were led to believe was a human-opponent. Results showed that while individuals with ASDs understood the game rules and played similarly to controls, they showed diminished neural activity during the human-opponent runs only (i.e. in a social context) in bilateral middle temporal gyrus (MTG) during mentalizing and right Nucleus Accumbens (NAcc) during reward-related motivation (Pcluster < 0.05 FWE). Importantly, deficits were not observed in these areas when playing against a computer-opponent or in areas related to motor and visual processes. These results demonstrate that while MTG and NAcc, which are critical structures in the mentalizing and motivation networks, respectively, activate normally in a non-social context, they fail to respond in an otherwise identical social context in ASD compared to controls. We discuss implications to both the mind-blindness and social motivation theories of ASD and the importance of social context in research and treatment protocols. © 2013 The Authors.}, note = {cited By 28}, keywords = {Adolescent, Adult, Article, Autism, Brain Function, Children, Computer, Controlled Study, Female, Functional Magnetic Resonance Imaging, Games, Groups by Age, Human, Major Clinical Study, Male, Mental Capacity, Middle Temporal Gyrus, Motivation, Motor Performance, Nerve Cell, Nerve Function, Nucleus Accumbens, Priority Journal, Punishment, Reward, School Child, Social Cognition, Social Environment, Social Interactions, Task Performance, Theory of Mind, Vision}, pubstate = {published}, tppubtype = {article} } Autism Spectrum Disorders (ASDs) are characterized by core deficits in social functions. Two theories have been suggested to explain these deficits: mind-blindness theory posits impaired mentalizing processes (i.e. decreased ability for establishing a representation of others' state of mind), while social motivation theory proposes that diminished reward value for social information leads to reduced social attention, social interactions, and social learning. Mentalizing and motivation are integral to typical social interactions, and neuroimaging evidence points to independent brain networks that support these processes in healthy individuals. However, the simultaneous function of these networks has not been explored in individuals with ASDs. We used a social, interactive fMRI task, the Domino game, to explore mentalizing- and motivation-related brain activation during a well-defined interval where participants respond to rewards or punishments (i.e. motivation) and concurrently process information about their opponent's potential next actions (i.e. mentalizing). Thirteen individuals with high-functioning ASDs, ages 12-24, and 14 healthy controls played fMRI Domino games against a computer-opponent and separately, what they were led to believe was a human-opponent. Results showed that while individuals with ASDs understood the game rules and played similarly to controls, they showed diminished neural activity during the human-opponent runs only (i.e. in a social context) in bilateral middle temporal gyrus (MTG) during mentalizing and right Nucleus Accumbens (NAcc) during reward-related motivation (Pcluster < 0.05 FWE). Importantly, deficits were not observed in these areas when playing against a computer-opponent or in areas related to motor and visual processes. These results demonstrate that while MTG and NAcc, which are critical structures in the mentalizing and motivation networks, respectively, activate normally in a non-social context, they fail to respond in an otherwise identical social context in ASD compared to controls. We discuss implications to both the mind-blindness and social motivation theories of ASD and the importance of social context in research and treatment protocols. © 2013 The Authors. |
2011 |
Shams, Khazaal W; Rahman, Abdul A W Characterizing autistic disorder based on principle component analysis Conference 2011, ISBN: 9781457714184, (cited By 6). Abstract | Links | BibTeX | Tags: Autism, Brain Function, Brain Signals, Classification Process, Data Dimensions, Diseases, Electroencephalogram Signals, Electroencephalography, Frequency Domain Analysis, Industrial Electronics, Motor Movements, Motor Tasks, PCA, Principal Component Analysis, Signal Detection, Time Frequency Domain @conference{KhazaalShams2011653, title = {Characterizing autistic disorder based on principle component analysis}, author = {W Khazaal Shams and A W Abdul Rahman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855644760&doi=10.1109%2fISIEA.2011.6108797&partnerID=40&md5=c486566e2d7ff404d830704c0b404067}, doi = {10.1109/ISIEA.2011.6108797}, isbn = {9781457714184}, year = {2011}, date = {2011-01-01}, journal = {2011 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2011}, pages = {653-657}, abstract = {Autism is often diagnosed during preschool or toddled age. This diagnosis often depends on behavioral test. It is known that individuals with autism have abnormal brain signals different from typical persons yet this difference in signals is slight that it is often difficult to distinguish from the normal. However, Electroencephalogram (EEG) signals have a lot of information which reflect the behavior of brain functions which therefore captures the marker for autism, help to early diagnose and speed the treatment. This work investigates and compares classification process for autism in open-eyed tasks and motor movement by using Principle Component Analysis (PCA) for feature extracted in Time-frequency domain to reduce data dimension. The results show that the proposed method gives accuracy in the range 90-100% for autism and normal children in motor task and around 90% to detect normal in open-eyed tasks though difficult to detect autism in this task. © 2011 IEEE.}, note = {cited By 6}, keywords = {Autism, Brain Function, Brain Signals, Classification Process, Data Dimensions, Diseases, Electroencephalogram Signals, Electroencephalography, Frequency Domain Analysis, Industrial Electronics, Motor Movements, Motor Tasks, PCA, Principal Component Analysis, Signal Detection, Time Frequency Domain}, pubstate = {published}, tppubtype = {conference} } Autism is often diagnosed during preschool or toddled age. This diagnosis often depends on behavioral test. It is known that individuals with autism have abnormal brain signals different from typical persons yet this difference in signals is slight that it is often difficult to distinguish from the normal. However, Electroencephalogram (EEG) signals have a lot of information which reflect the behavior of brain functions which therefore captures the marker for autism, help to early diagnose and speed the treatment. This work investigates and compares classification process for autism in open-eyed tasks and motor movement by using Principle Component Analysis (PCA) for feature extracted in Time-frequency domain to reduce data dimension. The results show that the proposed method gives accuracy in the range 90-100% for autism and normal children in motor task and around 90% to detect normal in open-eyed tasks though difficult to detect autism in this task. © 2011 IEEE. |