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2019 | OriginalPaper | Chapter

A Novel Brain Functional Connectivity Measurement Based on Phase Similarity

Authors : Fabio Baselice, Antonietta Sorriso, Rosaria Rucco, Pierpaolo Sorrentino

Published in: Converging Clinical and Engineering Research on Neurorehabilitation III

Publisher: Springer International Publishing

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Abstract

A novel metric for estimating connectivity between brain areas, namely the Phase Linearity Measurement (PLM), is presented. The purpose consists in measuring the amount of information exchanged between brain areas. Such scope is achieved by analyzing the similarities between the recorded signal phases. The PLM has been designed for exploiting both Electroencephalographic (EEG) and Magnetoencephalographic (MEG) data. We compared the results achieved by PLM in case of real MEG data with a widely adopted phase based connectivity metric, the Phase Lag Index (PLI). The PLM is characterized by interesting results, mainly in terms of noise resiliency.

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Metadata
Title
A Novel Brain Functional Connectivity Measurement Based on Phase Similarity
Authors
Fabio Baselice
Antonietta Sorriso
Rosaria Rucco
Pierpaolo Sorrentino
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-01845-0_113