Publications in the project will be listed here

 
 
  1. Mäkinen, Antti J., Koos C. J. Zevenhoven, and Risto J. Ilmoniemi. “Automatic spatial calibration of ultra-low-field MRI for high-accuracy hybrid MEG–MRI.” IEEE Transactions on Medical Imaging (2019): doi:10.1109/TMI.2019.2905934.
  2. Luomahaara, Juho, Mikko Kiviranta, Leif Grönberg, Koos C. J. Zevenhoven, Petteri Laine. “Unshielded SQUID sensors for ultra-low-field magnetic resonance imaging.” IEEE Transactions on Applied Superconductivity 28, no. 4 (2018): 1–4.
  3. Guidotti, Roberto, R. Sinibaldi, C. De Luca, A. Conti, R. J. Ilmoniemi, K. C. J. Zevenhoven, P. E. Magnelind, V. Pizzella, C. Del Gratta, G. L. Romani, and S. Della Penna. “Optimized 3D co-registration of ultra-low-field and high-field magnetic resonance images,” PLOS ONE 13, no. 3 (2018): 1–19.
  4. Tervo, Aino. “Noise optimization of multi-layer insulation in liquid-helium cryostat for brain imaging.” Master’s thesis, Aalto University, 2016.
  5. Lehto, Iiro. “Superconducting prepolarization coil for ultra-low-field MRI.” Master’s thesis, Aalto University, 2017.
  6. Vranou, Gavriela. “Assessing the value of a priori information in solving the MEG inverse problem” Master’s thesis, Aalto University, 2019.
  7. Luukinen, Mikko. “Suprajohtavan kvantti-interferenssilaitteen automatisoitu virittäminen aivokuvantamista varten [Automated tuning of a superconducting quantum interference device for brain imaging].” Bachelor’s thesis, Aalto University, 2017.
  8. Koos C. J. Zevenhoven, Mäkinen, Antti J., and Risto J. Ilmoniemi. “Superconducting receiver arrays for magnetic resonance imaging” arXiv:1805.08867 (2018).
  9. Hunold A, Strohmeier D, Fiedler P, Haueisen J: Head phantoms for electroencephalography and transcranial electric stimulation: a skull material study. Biomedical Engineering, 63(6):683-689, 2018
  10. Leif Grönberg, Mikko Kiviranta, Visa Vesterinen, Janne Lehtinen, Slawomir Simbierowicz, Juho Luomahaara, Mika Prunnila and Juha Hassel, Side-wall spacer passivated sub-μm Josephson junction fabrication process, Supercond. Sci. Technol. 30, 125016 (2017).
  11. Dinh C, Esch L, Rühle J, Bollmann S, Güllmar D, Baumgarten D, Hämäläinen MS, Haueisen J: Real-Time Clustered Multiple Signal Classification (RTC-MUSIC). Brain Topography, 31(1):125-128, 2017
  12. Nora Höfner and Rainer Körber and Marting Burghoff: Towards direct neuronal current imaging via ultra-low-field MR, Proceedings of the workshop Biosignal Processing 2016.
  13. J-H Storm, D Drung, M Burghoff and R Körber: A modular, extendible and field-tolerant multichannel vector magnetometer based on current sensor SQUIDs, Superconductor Science and Technology (2016), 29/9, doi: 10.1088/0953-2048/29/9/094001
  14. Rainer Körber, Jan-Hendrik Storm, Hugh Seton, Jyrki P Mäkelä, Ritva Paetau, Lauri Parkkonen, Christoph Pfeiffer, Bushra Riaz, Justin F Schneiderman, Hui Dong, Seong-min Hwang, Lixing You, Ben Inglis, John Clarke, Michelle A Espy, Risto J Ilmoniemi, Per E Magnelind, Andrei N Matlashov, Jaakko O Nieminen, Petr L Volegov, Koos C J Zevenhoven, Nora Höfner, Martin Burghoff, Keiji Enpuku, S Y Yang, Jen-Jei Chieh, Jukka Knuutila, Petteri Laine, Jukka Nenonen: SQUIDs in biomagnetism: a roadmap towards improved healthcare, Superconductor Science and Technology (2016), 29/11, doi: 10.1088/0953-2048/29/11/113001. 
  15. Alexander Hunold, Stephan Lau, Yoshio Okada, Christos Papadelis, Jens Haueisen, Calcified cortical tubers influence single dipole source localization, BIOMAG2016 Poster Session, Biomag (2016). 
  16. Corinna Horn, Alexander Hunold, Jens Haueisen, Michael Funke, Comparison of dipole localization to interictal spikesin individual and standardized BEM upon three different age group, BIOMAG2016 Poster Session, Biomag (2016). 
  17. Federico Chella, Vittorio Pizzella, Filippo Zappasodi, Guido Nolte, Laura Marzetti, Bispectral pairwise interacting source analysis for identifying systems of cross-frequency interacting brain sources from electroencephalographic or magnetoencephalographic signals, Physical Review E (2016), 93/5 doi: 10.1103/PhysRevE.93.052420. 
  18. Federico Chella, Vittorio Pizzella, Filippo Zappasodi, Laura Marzetti, Impact of the reference choice on scalp EEG connectivity estimation, Journal of Neural Engineering (2016), 13/3 doi: 10.1088/1741-2560/13/3/036016. 
  19. Rainer Körber, Jan-Hendrik Storm, Dietmar Drung and Martin Burghoff, A modular and field tolerant ultra-low-noise multichannel SQUID system for ULF MRI and high frequency MEG, BIOMAG2016 Poster Session, Biomag (2016).  
  20. Nora Höfner, Rainer Körber, Jens Haueisen, Peter Hömmen and Martin Burghoff, Neuronal current imaging (NCI) by Ultra-Low-Field MRI, BIOMAG2016 Poster Session, Biomag (2016). 
  21. Guidotti R., Sinibaldi R., De Luca C., Conti A., Ilmoniemi R. J., Zevenhonen K. C. J.,  Magnelind P., Pizzella V., Romani G. L. and Della Penna S. Optimized pipeline for the 3D co-registration  of Low- and High-Field MRI, BIOMAG 2016 Poster session, Biomag (2016). 
  22. Federico Chella, Vittorio Pizzella, Filippo Zappasodi, Guido Nolte, Laura Marzetti, Identifying pairwise interacting sources from the antisymmetric cross-bispectrum of EEG/MEG data, OHBM 2016 Poster session, OHBM (2016). 
  23. Yi-Cheng Hsu, Koos C.J. Zevenhoven, Ying-Hua Chu, Juhani Dabek, Risto J. Ilmoniemi, Fa-Hsuan Lin, Rotary scanning acquisition in ultra-low-field MRI, Magnetic Resonance in Medicine (2016), 75/6, doi: 10.1002/mrm.25676. 
  24. Antti J. Mäkinen, Koos C. J. Zevenhoven, and Risto J. Ilmoniemi, Eliminating co-registration in MEG–MRI: automatic nonlinear calibration of ULF MRI, Biomag2016 poster/abstract, Biomag (2016). 
  25. Aino E Tervo, Antti J Mäkinen, Risto J Ilmoniemi, and Koos C J Zevenhoven, Accurate mapping of magnetic fields generated by an ultra-low-field MRI device, BIOMAG2016 poster/abstract, Biomag (2016). 
  26. Risto Ilmoniemi, Jens Haueisen, Mikko Kiviranta, Rainer Körber, Jyrki Mäkelä, Jukka Nenonen, Gian Luca Romani, and Koos Zevenhoven, Breaking the Nonuniqueness Barrier in Electromagnetic Neuroimaging: the BREAKBEN project, BIOMAG2016 poster/abstract, Biomag (2016). 
  27. Koos C. J. Zevenhoven and Risto J. Ilmoniemi, Recent advances in ultra-low-field MRI and its compatibility with other modalities, BIOMAG2016 poster/abstract, Biomag (2016). 
  28. Jan-Hendrik Storm, Peter Hömmen, Diemtar Drung, Rainer Körber, An ultra-sensitive and wideband magnetometer based on a superconducting quantum interference device, Applied Physics Letters (2017), 072603-1 – 072603-4, doi: 10.1063/1.4976823. 
  29. Rainer Körber, Ultra-sensitive SQUID instrumentation for MEG and NCI by ULF MRI, EMBEC & NBC 2017, IFMBE Proceedings (2017), 75, 795-798, doi: 10.1007/978-981-10-5122-7_199 
  30. Eva Al-Dabbagh, Jan-Hendrik Storm, Rainer Korber, Ultra-sensitive SQUID Systems for Pulsed Fields—Degaussing Superconducting Pick-Up Coils, IEEE Transactions on Applied Superconductivity (2018),  28/4, 1-5, doi: 10.1109/TASC.2018.2797544 
  31. P. Hömmen, J.-H. Storm, N. Höfner, R. Körber, Demonstration of full tensor current density imaging using ultra-low field MRI, Magnetic Resonance Imaging (2019), doi:10.1016/j.mri.2019.03.010 
  32. P. Hömmen, J-H. Storm, N. Höfner, A. Hunold, R. Machts, J. Haueisen and R. Körber, Current Density Imaging in the Head using Ultra-Low Field Magnetic Resonance – An Advanced Phantom Study, Biomag 2018 Poster Session, Biomag (2018). 
  33. J-H. Storm, A. M. Cassarà, N. Höfner, P. Hömmen, E. Neufeld, R. Körber and N. Kuster, Computational and phantom-based evaluation of dc neuronal current imaging with ultra-low field magnetic resonance, Biomag 2018 Poster Session, Biomag (2018). 
  34. N. Höfner, J.-H. Storm, P. Hömmen, R. Körber, Neuronal current imaging using 3D ultra-low field MRI – preliminary results, Biomag 2018 Poster Session, Biomag (2018). 
  35. Federico Chella, Antea D’Andrea, Alessio Basti, Vittorio Pizzella, Laura Marzetti, Non-linear Analysis of Scalp EEG by Using Bispectra: The Effect of the Reference Choice, Frontiers in Neuroscience (2017), 11, doi: 10.3389/fnins.2017.00262 
  36. Paolo Capotosto, Stefania della Penna, Vittorio Pizzella, Filippo Zappasodi, Gian Luca Romani, Risto J. Ilmoniemi, Alfredo Brancucci, Theta-burst stimulation causally affects side perception in the Deutsch’s octave illusion, Scientific Reports, Nature Publishing Group, (2018) 8/1, doi: 10.1038/s41598-018-31248-1 
  37. Sommariva, Sara; Sorrentino, Alberto; Piana, Michele; Pizzella, Vittorio; Marzetti, Laura, A comparative study of the robustness of frequency–domain connectivity measures to finite data length, Brain Topography (2017), 1. 
  38. Federico Chella, Laura Marzetti, Matti Stenroos, Lauri Parkkonen, Risto J. Ilmoniemi, Gian Luca Romani, Vittorio Pizzella, The impact of improved MEG–MRI co-registration on MEG connectivity analysis, NeuroImage (2019), 197, 354-367, doi: 10.1016/j.neuroimage.2019.04.061 
  39. Alessio Basti, Vittorio Pizzella, Federico Chella, Gian Luca Romani, Guido Nolte, Laura Marzetti, Disclosing large-scale directed functional connections in MEG with the multivariate phase slope index, NeuroImage (2018), 175, 161-175, doi: 10.1016/j.neuroimage.2018.03.004 
  40. Antea D’Andrea, Federico Chella, Tom R. Marshall, Vittorio Pizzella, Gian Luca Romani, Ole Jensen, Laura Marzetti, Alpha and alpha-beta phase synchronization mediate the recruitment of the visuospatial attention network through the Superior Longitudinal Fasciculus, NeuroImage (2019), 188, 722-732, 10.1016/j.neuroimage.2018.12.056. 
       

CONTACT

Scientific coordinator

Risto Ilmoniemi

risto.ilmoniemi@aalto.fi

This website has been produced in context of the BREAKBEN project, which is part of European Community’s Horizon 2020 Programme. For avoidance of all doubts, the European Commission has no liability in respect of this document, which merely represents the views of the authors