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

• 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: Article
• Language: English
• Published: 2016
• Subjects: electroencephalogram; magnetoencephalography
• Online Access: https://hdl.handle.net/10356/82657; http://hdl.handle.net/10220/40222
• Institution: Nanyang Technological University

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...