HRMEG: High-resolution magnetoencephalography: Towards non-invasive corticography

Pubblicazioni

Improving MEG source estimation with joint analysis of multiple subjects

Autori: Paavo Hietala
Pubblicato in: Master's thesis, 2021
Editore: Aalto University

Aktiv kompensation av magnetfält vid OPM-MEG

Autori: Markus Henttonen
Pubblicato in: Bachelor's thesis, 2020
Editore: Aalto University

On-scalp magnetoencephalography: Theory, implementation and measurements

Autori: Joonas Iivanainen
Pubblicato in: PhD thesis, 2020, ISBN 978-952-60-8991-1
Editore: Aalto University

Inter-subject correlation during natural viewing with on-scalp MEG

Autori: Anni Forsman
Pubblicato in: Master's thesis, 2021
Editore: Aalto University

Assessing the value of a priori information in solving the MEG inverse problem

Autori: Gavriela Vranou
Pubblicato in: Master's thesis, 2019
Editore: Aalto University

Magnetoenkefalografiaan käytettävän kompensaatiokelaston magneettikenttien kartoitus ja mallinnus

Autori: Karoliina Hakkarainen
Pubblicato in: Bachelor's thesis, 2018
Editore: Aalto University

Reaaliaikaisen spektrin estimointimenetelmän implementointi OPM-MEG-laitteistoon

Autori: Paavo Hietala
Pubblicato in: Bachelor's thesis, 2018
Editore: Aalto University

Measurement and Characterization of Human Visual Gamma-band Responses with On-scalp Magnetoencephalography

Autori: Mikael Grön
Pubblicato in: Master's thesis, 2022
Editore: Aalto University

Developing machine-learning methods for the analysis of electromagnetic brain activity

Autori: Ivan Zubarev
Pubblicato in: PhD thesis, 2021
Editore: Aalto University

Using deep learning to predict continuous hand kinematics from magnetoencephalographic (MEG) measurements of electromagnetic brain activity

Autori: Matteo Anelli
Pubblicato in: Master-of-Science thesis, 2021
Editore: Aalto University

Detecting mild traumatic brain injury from MEG data using normative modelling and machine learning

Autori: Veera Itälinna
Pubblicato in: Master's thesis, 2021
Editore: Aalto University

Development of an on-scalp MEG system using optically-pumped magnetometers

Autori: Rasmus Zetter
Pubblicato in: PhD thesis, 2021, ISBN 978-952-64-0214-7
Editore: Aalto University

Magnetic field modeling with surface currents. Part II. Implementation and usage of bfieldtools

Autori: Rasmus Zetter, Antti J. Mäkinen, Joonas Iivanainen, Koos C. J. Zevenhoven, Risto J. Ilmoniemi, Lauri Parkkonen
Pubblicato in: Journal of Applied Physics, Numero 128/6, 2020, Pagina/e 063905, ISSN 0021-8979
Editore: American Institute of Physics
DOI: 10.1063/5.0016087

The effect of visual and proprioceptive feedback on sensorimotor rhythms during BCI training

Autori: Halme, Hanna Leena; Parkkonen, Lauri
Pubblicato in: PLOS ONE, Numero 19326203, 2022, Pagina/e e0264354, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0264354

Magnetic-field modeling with surface currents. Part I. Physical and computational principles of bfieldtools

Autori: Antti J. Mäkinen, Rasmus Zetter, Joonas Iivanainen, Koos C. J. Zevenhoven, Lauri Parkkonen, Risto J. Ilmoniemi
Pubblicato in: Journal of Applied Physics, Numero 128/6, 2020, Pagina/e 063906, ISSN 0021-8979
Editore: American Institute of Physics
DOI: 10.1063/5.0016090

A general method for computing thermal magnetic noise arising from thin conducting objects

Autori: Iivanainen, Joonas; Mäkinen, Antti J.; Zetter, Rasmus; Zevenhoven, Koos C. J.; Ilmoniemi, Risto J.; Parkkonen, Lauri
Pubblicato in: Journal of Applied Physics, Numero 00218979, 2021, Pagina/e 043901, ISSN 0021-8979
Editore: American Institute of Physics
DOI: 10.1063/5.0050371

Requirements for Coregistration Accuracy in On-Scalp MEG

Autori: Rasmus Zetter, Joonas Iivanainen, Matti Stenroos, Lauri Parkkonen
Pubblicato in: Brain Topography, Numero 31/6, 2018, Pagina/e 931-948, ISSN 0896-0267
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10548-018-0656-5

On-scalp MEG system utilizing an actively shielded array of optically-pumped magnetometers

Autori: Joonas Iivanainen, Rasmus Zetter, Mikael Grön, Karoliina Hakkarainen, Lauri Parkkonen
Pubblicato in: NeuroImage, Numero 194, 2019, Pagina/e 244-258, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2019.03.022

Optical Co-registration of MRI and On-scalp MEG

Autori: Rasmus Zetter, Joonas Iivanainen, Lauri Parkkonen
Pubblicato in: Scientific Reports, Numero 9/1, 2019, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-019-41763-4

Adaptive neural network classifier for decoding MEG signals

Autori: Ivan Zubarev, Rasmus Zetter, Hanna-Leena Halme, Lauri Parkkonen
Pubblicato in: NeuroImage, Numero 197, 2019, Pagina/e 425-434, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2019.04.068

Potential of on‐scalp MEG: Robust detection of human visual gamma‐band responses

Autori: Joonas Iivanainen, Rasmus Zetter, Lauri Parkkonen
Pubblicato in: Human Brain Mapping, 2019, ISSN 1065-9471
Editore: John Wiley & Sons Inc.
DOI: 10.1002/hbm.24795

MNEflow: Neural networks for EEG/MEG decoding and interpretation

Autori: Ivan Zubarev; Gavriela Vranou; Lauri Parkkonen
Pubblicato in: SoftwareX, Vol 17, Iss , Pp 100951- (2022), Numero 23527110, 2022, Pagina/e 100951, ISSN 2352-7110
Editore: Elsevier
DOI: 10.1016/j.softx.2021.100951

Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design

Autori: Iivanainen, Joonas; Mäkinen, Antti J.; Zetter, Rasmus; Stenroos, Matti; Ilmoniemi, Risto J.; Parkkonen, Lauri
Pubblicato in: Neuroimage, Numero 10538119, 2021, Pagina/e 118747, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2021.118747

Calibration and Localization of Optically Pumped Magnetometers Using Electromagnetic Coils

Autori: Joonas Iivanainen; Amir Borna; Rasmus Zetter; Tony R. Carter; Julia M. Stephen; Jim McKay; Lauri Parkkonen; Samu Taulu; Peter D. D. Schwindt
Pubblicato in: Sensors; Volume 22; Numero 8; Pages: 3059, Numero 14248220, 2022, Pagina/e 3059, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22083059

Extended Signal-Space Separation method for improved interference suppression in MEG

Autori: Liisa Maria Helle, Jukka Nenonen, Eric Larson, Juha Simola, Lauri Parkkonen, Samu Taulu
Pubblicato in: IEEE Transactions on Biomedical Engineering, 2021, Pagina/e 1-1, ISSN 0018-9294
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2020.3040373

Comparison of beamformer implementations for MEG source localization

Autori: Amit Jaiswal, Jukka Nenonen, Matti Stenroos, Alexandre Gramfort, Sarang S. Dalal, Britta U. Westner, Vladimir Litvak, John C. Mosher, Jan-Mathijs Schoffelen, Caroline Witton, Robert Oostenveld, Lauri Parkkonen
Pubblicato in: NeuroImage, Numero 216, 2020, Pagina/e 116797, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2020.116797

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