Response conflict processes' classification in 7 and 9 year old children using EEG brain connectivity measures

© 2016 IEEE.Investigating cognitive development of children poses interesting challenges pertaining to emergence of children's' ability to think and understand. Psychological tasks that involve conflict, like the Flanker task, are widely used to understand development of response conflict...

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Main Authors: Almabruk, T., Iyer, K., Girdler, S., Khan, Masood Mehmood, Tan, Tele
Format: Conference Paper
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/51830
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author Almabruk, T.
Iyer, K.
Girdler, S.
Khan, Masood Mehmood
Tan, Tele
author_facet Almabruk, T.
Iyer, K.
Girdler, S.
Khan, Masood Mehmood
Tan, Tele
author_sort Almabruk, T.
building Curtin Institutional Repository
collection Online Access
description © 2016 IEEE.Investigating cognitive development of children poses interesting challenges pertaining to emergence of children's' ability to think and understand. Psychological tasks that involve conflict, like the Flanker task, are widely used to understand development of response conflict processes. In this study, EEG signals were used to examine the coherence and imaginary part of coherency within the delta, theta, alpha and beta bands across different conditions of the Flanker task. Longitudinal data were collected from a group of typically developing children at ages of seven and nine. We found that the imaginary part of coherency was more helpful in distinguishing between stimuli - alpha and beta bands resulted in 90.90% classification rate in seven year old children. The beta and theta bands were found to be more effective for stimuli classification in nine year old children - more than 84.09% classification accuracy was achieved.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:49:27Z
publishDate 2016
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spelling curtin-20.500.11937-518302017-09-13T15:37:22Z Response conflict processes' classification in 7 and 9 year old children using EEG brain connectivity measures Almabruk, T. Iyer, K. Girdler, S. Khan, Masood Mehmood Tan, Tele © 2016 IEEE.Investigating cognitive development of children poses interesting challenges pertaining to emergence of children's' ability to think and understand. Psychological tasks that involve conflict, like the Flanker task, are widely used to understand development of response conflict processes. In this study, EEG signals were used to examine the coherence and imaginary part of coherency within the delta, theta, alpha and beta bands across different conditions of the Flanker task. Longitudinal data were collected from a group of typically developing children at ages of seven and nine. We found that the imaginary part of coherency was more helpful in distinguishing between stimuli - alpha and beta bands resulted in 90.90% classification rate in seven year old children. The beta and theta bands were found to be more effective for stimuli classification in nine year old children - more than 84.09% classification accuracy was achieved. 2016 Conference Paper http://hdl.handle.net/20.500.11937/51830 10.1109/EMBC.2016.7590799 restricted
spellingShingle Almabruk, T.
Iyer, K.
Girdler, S.
Khan, Masood Mehmood
Tan, Tele
Response conflict processes' classification in 7 and 9 year old children using EEG brain connectivity measures
title Response conflict processes' classification in 7 and 9 year old children using EEG brain connectivity measures
title_full Response conflict processes' classification in 7 and 9 year old children using EEG brain connectivity measures
title_fullStr Response conflict processes' classification in 7 and 9 year old children using EEG brain connectivity measures
title_full_unstemmed Response conflict processes' classification in 7 and 9 year old children using EEG brain connectivity measures
title_short Response conflict processes' classification in 7 and 9 year old children using EEG brain connectivity measures
title_sort response conflict processes' classification in 7 and 9 year old children using eeg brain connectivity measures
url http://hdl.handle.net/20.500.11937/51830