Effect of Field Spread on Resting-State Magneto Encephalography Functional Network Analysis: A Computational Modeling Study

Abstract

A popular way to analyze resting-state electroencephalography (EEG) and magneto encephalography (MEG) data is to treat them as a functional network in which sensors are identified with nodes and the interaction between channel time series and the network connections. Although conceptually appealing, the network-theoretical approach to sensor-level EEG and… (More)
DOI: 10.1089/brain.2017.0525

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Cite this paper

@article{Pereira2017EffectOF, title={Effect of Field Spread on Resting-State Magneto Encephalography Functional Network Analysis: A Computational Modeling Study}, author={Silvana Silva Pereira and Rikkert Hindriks and Stefanie M{\"u}hlberg and Eric Maris and Freek van Ede and Alessandra Griffa and Patric Hagmann and Gustavo Deco}, journal={Brain connectivity}, year={2017}, volume={7 9}, pages={541-557} }