Measuring MEG closer to the brain: Performance of on-scalp sensor arrays J Iivanainen, M Stenroos, L Parkkonen NeuroImage 147, 542-553, 2017 | 274 | 2017 |
A Matlab library for solving quasi-static volume conduction problems using the boundary element method M Stenroos, V Mäntynen, J Nenonen Computer methods and programs in biomedicine 88 (3), 256-263, 2007 | 145 | 2007 |
Comparison of three-shell and simplified volume conductor models in magnetoencephalography M Stenroos, A Hunold, J Haueisen Neuroimage 94, 337-348, 2014 | 142 | 2014 |
Comparison of spherical and realistically shaped boundary element head models for transcranial magnetic stimulation navigation A Nummenmaa, M Stenroos, RJ Ilmoniemi, YC Okada, MS Hämäläinen, ... Clinical Neurophysiology 10, 1995-2007, 2013 | 105 | 2013 |
Bioelectromagnetic forward problem: isolated source approach revis (it) ed M Stenroos, J Sarvas Physics in Medicine & Biology 57 (11), 3517, 2012 | 101 | 2012 |
Recovering TMS-evoked EEG responses masked by muscle artifacts TP Mutanen, M Kukkonen, JO Nieminen, M Stenroos, J Sarvas, ... Neuroimage 139, 157-166, 2016 | 100 | 2016 |
Coil optimisation for transcranial magnetic stimulation in realistic head geometry LM Koponen, JO Nieminen, TP Mutanen, M Stenroos, RJ Ilmoniemi Brain stimulation 10 (4), 795-805, 2017 | 91 | 2017 |
Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography M Stenroos, A Nummenmaa PLOS ONE, 2016 | 73 | 2016 |
Closed-loop optimization of transcranial magnetic stimulation with electroencephalography feedback AE Tervo, JO Nieminen, P Lioumis, J Metsomaa, VH Souza, H Sinisalo, ... Brain Stimulation 15 (2), 523-531, 2022 | 72 | 2022 |
Comparison of beamformer implementations for MEG source localization A Jaiswal, J Nenonen, M Stenroos, A Gramfort, SS Dalal, BU Westner, ... NeuroImage 216, 116797, 2020 | 70 | 2020 |
Uncovering neural independent components from highly artifactual TMS-evoked EEG data JC Hernandez-Pavon, J Metsomaa, T Mutanen, M Stenroos, H Mäki, ... Journal of neuroscience methods 209 (1), 144-157, 2012 | 70 | 2012 |
Multi-locus transcranial magnetic stimulation system for electronically targeted brain stimulation JO Nieminen, H Sinisalo, VH Souza, M Malmi, M Yuryev, AE Tervo, ... Brain Stimulation 15 (1), 116-124, 2022 | 62 | 2022 |
Towards an objective evaluation of EEG/MEG source estimation methods–The linear approach O Hauk, M Stenroos, MS Treder Neuroimage 255, 119177, 2022 | 61 | 2022 |
Minimum norm cortical source estimation in layered head models is robust against skull conductivity error M Stenroos, O Hauk NeuroImage 81, 265-272, 2013 | 61 | 2013 |
Boundary element computations in the forward and inverse problems of electrocardiography: comparison of collocation and Galerkin weightings M Stenroos, J Haueisen IEEE Transactions on Biomedical Engineering 55 (9), 2124-2133, 2008 | 55 | 2008 |
Dealing with artifacts in TMS-evoked EEG RJ Ilmoniemi, JC Hernandez-Pavon, NN Mäkelä, J Metsomaa, ... 2015 37th annual international conference of the IEEE engineering in …, 2015 | 54 | 2015 |
A framework for the design of flexible cross‐talk functions for spatial filtering of EEG/MEG data: DeFleCT O Hauk, M Stenroos Human brain mapping 35 (4), 1642-1653, 2014 | 54 | 2014 |
Real-time computation of the TMS-induced electric field in a realistic head model M Stenroos, LM Koponen Neuroimage 203, 116159, 2019 | 50 | 2019 |
Requirements for coregistration accuracy in on-scalp MEG R Zetter, J Iivanainen, M Stenroos, L Parkkonen Brain topography 31, 931-948, 2018 | 50 | 2018 |
EEG and MEG: sensitivity to epileptic spike activity as function of source orientation and depth A Hunold, ME Funke, R Eichardt, M Stenroos, J Haueisen Physiological measurement 37 (7), 1146, 2016 | 47 | 2016 |