Measuring dynamic process of working memory training with functional brain networks

In this paper, we proposed the functional brain networks and graphic theory method to measure the effect of working memory training on the neural activities. 12 subjects were recruited in this study, and they did the same working memory task before they had been trained and after training. We archit...

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Bibliographic Details
Published inEAI Endorsed Transactions on Ambient Systems Vol. 3; no. 11; pp. 58 - 4
Main Author Wang, Hong
Format Journal Article
LanguageEnglish
Published Ghent European Alliance for Innovation (EAI) 01.12.2016
Subjects
Brain
Coherence
eeg coherence
functional brain networks
Language disorders
Memory tasks
Networks
Speech
Training
working memory training
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ISSN2032-927X
DOI10.4108/eai.14-10-2015.2261627

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Summary:In this paper, we proposed the functional brain networks and graphic theory method to measure the effect of working memory training on the neural activities. 12 subjects were recruited in this study, and they did the same working memory task before they had been trained and after training. We architected functional brain networks based on EEG coherence and calculated properties of brain networks to measure the neural co-activities and the working memory level of subjects. As the result, the internal connections in frontal region decreased after working memory training, but the connection between frontal region and top region increased. And the more small-world feature was observed after training. The features observed above were in alpha (8-13 Hz) and beta (13-30 Hz) bands. The functional brain networks based on EEG coherence proposed in this paper can be used as the indicator of working memory level.
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ISSN:2032-927X
DOI:10.4108/eai.14-10-2015.2261627