Novel framework for small-world network connectivity analysis for MEG data

• Main Authors: Rasheed, W., Tang, T.B., Hamid, N.H.B.
• Format: Conference or Workshop Item
• Published: IEEE Computer Society 2014
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335947&doi=10.1109%2fICIAS.2014.6869458&partnerID=40&md5=df34aea0eb761bc237c07ab4c24f6033; http://eprints.utp.edu.my/32156/
• Institution: Universiti Teknologi Petronas

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.