Research Article
Measuring dynamic process of working memory training with functional brain networks
@INPROCEEDINGS{10.4108/eai.14-10-2015.2261627, author={Hong Wang}, title={Measuring dynamic process of working memory training with functional brain networks}, proceedings={5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={ACM}, proceedings_a={MOBIHEALTH}, year={2015}, month={12}, keywords={working memory training functional brain networks eeg coherence}, doi={10.4108/eai.14-10-2015.2261627} }- Hong Wang
Year: 2015
Measuring dynamic process of working memory training with functional brain networks
MOBIHEALTH
ICST
DOI: 10.4108/eai.14-10-2015.2261627
Abstract
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.
