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title: "How to Cite"
sidebar_label: "How to Cite"
sidebar_position: 4
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# How to Cite MNE-CPP

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.593102.svg)](https://doi.org/10.5281/zenodo.593102)

If you use MNE-CPP in your research, we would appreciate if you cite the following:

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| Dinh, C.; Esch, L.; Knobl, D.; Klüber, V.; Henfling, M.; Tjen, R.; Kiesel, J.; Sun, L.; Schlembach, F.; Lew, S.; Kunze, T.; Arndt, F.; Pieloth, C.; Eichhorst, L.; Doshi, C.; Polo, F.; Kay, B.; Hornberger, E.; Strohmeier, D.; Luessi, M.; Jas, M.; Larson, E.; Eiselt, M.; Okada, Y.; Haueisen, J.; Hämäläinen, M. S.: MNE-CPP. Zenodo. [DOI: 10.5281/zenodo.593102](https://doi.org/10.5281/zenodo.593102) |

We also recommend citing the MNE software overview:

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| Esch, L.; Dinh, C.; Larson, E.; Engemann, D.; Jas, M.; Khan, S.; Gramfort, A.; Hämäläinen, M.S.: MNE: Software for Acquiring, Processing and Visualizing MEG/EEG Data. Magnetoencephalography: From Signals to Dynamic Cortical Networks. 2nd Edition. Springer (2019), [DOI: 10.1007/978-3-319-62657-4_59-1](https://link.springer.com/referenceworkentry/10.1007%2F978-3-319-62657-4_59-1) |

If your work involves MNE Scan, please also consider citing:

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| Esch, L.; Sun, L.; Klüber, V.; Lew, S.; Baumgarten, D.; Grant, P. E.; Okada, Y.; Haueisen, J.; Hamalainen, M.S.; Dinh, C.: MNE Scan: Software for Real-Time Processing of Electrophysiological Data. Journal of Neuroscience Methods (2018), [DOI: 10.1016/j.jneumeth.2018.03.020](https://www.sciencedirect.com/science/article/pii/S0165027018300979) |

For specific methods such as RTC-MNE or the real-time capable connetivity metrics, please cite the relevant method paper as well:

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| Esch, L.; Dong, J.; Hämäläinen, M.; Baumgarten, D.; Haueisen, J.; Vorwerk, J.: Online functional connectivity analysis of large all-to-all networks in MNE Scan. Imaging Neuroscience (2024), [DOI: 10.1162/imag_a_00296](https://doi.org/10.1162/imag_a_00296) |
| Dinh, C.; Strohmeier, D.; Luessi, M.; Güllmar, D.; Baumgarten, D.; Haueisen, J.; Hämäläinen, M.S.: Real-Time MEG Source Localization using Regional Clustering. Brain Topography (2015), [DOI: 10.1007/s10548-015-0431-9](https://link.springer.com/article/10.1007/s10548-017-0586-7) |
