Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm

Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm

This paper proposed a prewhitening invariance of noise space (PW-INN) as a new magnetoencephalography (MEG) source analysis method, which is particularly suitable for localizing closely spaced and highly correlated cortical sources under real MEG noise. Conventional source localization methods, such...

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Bibliographic Details
Main Authors: Junpeng Zhang, Yuan Cui, Lihua Deng, Ling He, Junran Zhang, Jing Zhang, Qun Zhou, Qi Liu, Zhiguo Zhang
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/2016/4890497
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