%I IEEE Computer Society
%A W. Rasheed
%A T.B. Tang
%A N.H.B. Hamid
%T Novel framework for small-world network connectivity analysis for MEG data
%C Kuala Lumpur
%L scholars4963
%J 2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings
%O cited By 2; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
%R 10.1109/ICIAS.2014.6869458
%D 2014
%X MEG is an emerging clinical tool to gather insight on neuronal dysfunction inside the human brain. This paper analyzes data saved as FIF file format at a small-world level. Traditionally, operating cost is very high for artifact removal. Also, the absence of a standardization with availability of more than a dozen MEG recording device vendors makes it difficult to store and process data followed by its comparison. This paper proposes a framework to avoid computation overheads, while it takes care of MEG data file format and calculates coherence with ease and efficiency. Small-world network is analyzed and 3D visualization is obtained. © 2014 IEEE.
%K Brain mapping; Coherent light; Magnetoencephalography; Three dimensional computer graphics; Visualization, 3D Visualization; Elekta; FIF; MEG; Neuromag, Small-world networks