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: Zhang, Junpeng, Cui, Yuan, Deng, Lihua, He, Ling, Zhang, Junran, Zhang, Jing, Zhou, Qun, Liu, Qi, Zhang, Zhiguo
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2016
Subjects:
electroencephalogram
magnetoencephalography
Online Access:https://hdl.handle.net/10356/82657
http://hdl.handle.net/10220/40222

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