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. 2016 Sep 14;2016:7473217. doi: 10.1155/2016/7473217

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

Junpeng Zhang 1,2,*, Yuan Cui 3, Lihua Deng 1, Ling He 1, Junran Zhang 1, Jing Zhang 1, Qun Zhou 1, Qi Liu 1, Zhiguo Zhang 2
PMCID: PMC5039286  PMID: 27703815

In the article titled “Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm” [1], there was an error in the legend of Figure 7, which should be corrected as follows.

Figure 7.

Figure 7

FC graphs based on source reconstruction results using LCMV beamformer, PW-INN, and sLORETA. Real MEG noise was added such that SNR = 18. Small blue dots indicate brain volume grid points, and large blue dots indicate true source locations. (a)–(c) FC graphs estimated from LCMV beamformer (a), PW-INN (b), and sLORETA (c) when r 2 = 0 between two sources. (d)–(f) FC graphs estimated from LCMV beamformer (d), PW-INN (e), and sLORETA (f), when r 2 = 0.95 between two sources.

References

  • 1.Zhang J., Cui Y., Deng L., et al. Closely spaced MEG source localization and functional connectivity analysis using a new prewhitening invariance of noise space algorithm. Neural Plasticity. 2016;2016:12. doi: 10.1155/2016/4890497.4890497 [DOI] [PMC free article] [PubMed] [Google Scholar]

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