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Connectivity Analysis Using Functional Brain Networks to Evaluate Cognitive Activity during 3D Modelling

Department of Computing, Faculty of Science and Engineering, Macquaire University, Sydney, NSW 2109, Australia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Brain Sci. 2019, 9(2), 24; https://doi.org/10.3390/brainsci9020024
Received: 3 January 2019 / Revised: 18 January 2019 / Accepted: 20 January 2019 / Published: 24 January 2019
(This article belongs to the Collection Collection on Cognitive Neuroscience)
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Abstract

Modelling 3D objects in CAD software requires special skills which require a novice user to undergo a series of training exercises to obtain. To minimize the training time for a novice user, the user-dependent factors must be studied. we have presented a comparative analysis of novice/expert information flow patterns. We have used Normalized Transfer Entropy (NTE) and Electroencephalogram (EEG) to investigate the differences. The experiment was divided into three cognitive states i.e., rest, drawing, and manipulation. We applied classification algorithms on NTE matrices and graph theory measures to see the effectiveness of NTE. The results revealed that the experts show approximately the same cognitive activation in drawing and manipulation states, whereas for novices the brain activation is more in manipulation state than drawing state. The hemisphere- and lobe-wise analysis showed that expert users have developed an ability to control the information flow in various brain regions. On the other hand, novice users have shown a continuous increase in information flow activity in almost all regions when doing drawing and manipulation tasks. A classification accuracy of more than 90% was achieved with a simple K-nearest neighbors (k-NN) to classify novice and expert users. The results showed that the proposed technique can be used to develop adaptive 3D modelling systems. View Full-Text
Keywords: novice; expert; transfer entropy; information flow pattern; functional brain network; 3D modelling novice; expert; transfer entropy; information flow pattern; functional brain network; 3D modelling
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Baig, M.Z.; Kavakli, M. Connectivity Analysis Using Functional Brain Networks to Evaluate Cognitive Activity during 3D Modelling. Brain Sci. 2019, 9, 24.

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