Lauri Parkkonen

Neuroimaging Methods Group (NIMEG)
Department of Neuroscience and Biomedical Engineering
Aalto University

Otakaari 3
Rakentajanaukio 2
02150 Espoo
Finland

Tel: +358(0) 40 50 89 712
Mail: lauri.parkkonen@aalto.fi

Education

• 1996: PhD on Engineering Physics / Applied Physics, Helsinki University of Technology

Research Experience

• Since 2020: Full professor, head of Neuroimaging Methods Group (NIMEG), Department of Neuroscience and Biomedical Engineering, Aalto University, Finland
• 2015-2020: Associate Professor, Aalto University, Finland
• 2012-2015: Assistant Professor, Aalto University, Finland
• 2009-2010: Visiting scientist, Inserm (French Institute of Health and Medical Research), Unit of Cognitive Neuroimaging, France

Relevant Publications

• Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., Parkkonen, L., & Hämäläinen, M. S. (2014). MNE software for processing MEG and EEG data. NeuroImage, 86, 446–460. https://doi.org/10.1016/j.neuroimage.2013.10.027
• Gramfort, A., Luessi, M., Larson, E., Engemann, D., Strohmeier, D., Brodbeck, C., Goj, R., Jas, M., Brooks, T., Parkkonen, L., & Hämäläinen, M. (2013). MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience, 7, 267. https://doi.org/10.3389/fnins.2013.00267
• Halme, H.-L., & Parkkonen, L. (2018). Across-subject offline decoding of motor imagery from MEG and EEG. Scientific Reports, 8(1), 10087. https://doi.org/10.1038/s41598-018-28295-z
• Helle, L., Nenonen, J., Larson, E., Simola, J., Parkkonen, L., & Taulu, S. (2021). Extended Signal-Space Separation Method for Improved Interference Suppression in MEG. IEEE Transactions on Biomedical Engineering, 68(7), 2211–2221. https://doi.org/10.1109/TBME.2020.3040373
• Iivanainen, J., Zetter, R., Grön, M., Hakkarainen, K., & Parkkonen, L. (2019). On-scalp MEG system utilizing an actively shielded array of optically-pumped magnetometers. NeuroImage, 194, 244–258. https://doi.org/10.1016/j.neuroimage.2019.03.022