Measuring MEG closer to the brain: Performance of on-scalp sensor arrays
暂无分享,去创建一个
Matti Stenroos | Lauri Parkkonen | Joonas Iivanainen | L. Parkkonen | Joonas Iivanainen | M. Stenroos
[1] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[2] D. B. Heppner,et al. Considerations of quasi-stationarity in electrophysiological systems. , 1967, The Bulletin of mathematical biophysics.
[3] D. Geselowitz. On the magnetic field generated outside an inhomogeneous volume conductor by internal current sources , 1970 .
[4] R. J. Ilmoniemi,et al. Channel Capacity of Multichannel Magnetometers , 1989 .
[5] J. D. de Munck. A linear discretization of the volume conductor boundary integral equation using analytically integrated elements (electrophysiology application) , 1992, IEEE Transactions on Biomedical Engineering.
[6] J.C. de Munck,et al. A random dipole model for spontaneous brain activity , 1992, IEEE Transactions on Biomedical Engineering.
[7] J. D. Munck. A linear discretization of the volume conductor boundary integral equation using analytically integrated elements (electrophysiology application) , 1992 .
[8] R. Ilmoniemi,et al. Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain , 1993 .
[9] A. Dale,et al. Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach , 1993, Journal of Cognitive Neuroscience.
[10] C. Michel,et al. Linear inverse solutions with optimal resolution kernels applied to electromagnetic tomography , 1997, Human brain mapping.
[11] A. Dale,et al. High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.
[12] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[13] R. Leahy,et al. EEG and MEG: forward solutions for inverse methods , 1999, IEEE Transactions on Biomedical Engineering.
[14] R M Leahy,et al. A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG. , 1999, Physics in medicine and biology.
[15] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.
[16] Anders M. Dale,et al. A hybrid approach to the Skull Stripping problem in MRI , 2001, NeuroImage.
[17] John W Belliveau,et al. Monte Carlo simulation studies of EEG and MEG localization accuracy , 2002, Human brain mapping.
[18] M. Romalis,et al. High-sensitivity atomic magnetometer unaffected by spin-exchange relaxation. , 2002, Physical review letters.
[19] J. Haueisen,et al. Information content in single-component versus three-component cardiomagnetic fields , 2004, IEEE Transactions on Magnetics.
[20] J. Kitching,et al. Microfabricated alkali atom vapor cells , 2004 .
[21] Olivier D. Faugeras,et al. A common formalism for the Integral formulations of the forward EEG problem , 2005, IEEE Transactions on Medical Imaging.
[22] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[23] A. Dale,et al. Distributed current estimates using cortical orientation constraints , 2006, Human brain mapping.
[24] R. Ilmoniemi,et al. Interpreting magnetic fields of the brain: minimum norm estimates , 2006, Medical and Biological Engineering and Computing.
[25] Seppo P. Ahlfors,et al. Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates , 2006, NeuroImage.
[26] Matti Stenroos,et al. A Matlab library for solving quasi-static volume conduction problems using the boundary element method , 2007, Comput. Methods Programs Biomed..
[27] D. Budker,et al. Optical magnetometry - eScholarship , 2006, physics/0611246.
[28] Jan Palczewski,et al. Monte Carlo Simulation , 2008, Encyclopedia of GIS.
[29] M. S. Hämäläinen,et al. Quantification of the benefit from integrating MEG and EEG data in minimum ℓ2-norm estimation , 2008, NeuroImage.
[30] J. Schoffelen,et al. Source connectivity analysis with MEG and EEG , 2009, Human brain mapping.
[31] L. Vaina,et al. Mapping the signal‐to‐noise‐ratios of cortical sources in magnetoencephalography and electroencephalography , 2009, Human brain mapping.
[32] M. Weisend,et al. Magnetoencephalography with a two color pump-probe fiber-coupled atomic magnetometer. , 2010 .
[33] Olaf Hauk,et al. Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics , 2011, NeuroImage.
[34] A. Daffertshofer,et al. Radial and tangential components of dipolar sources and their magnetic fields , 2012, Clinical Neurophysiology.
[35] M. Elam,et al. High-T-c superconducting quantum interference device recordings of spontaneous brain activity: Towards high-T-c magnetoencephalography , 2012 .
[36] Bruce Fischl,et al. FreeSurfer , 2012, NeuroImage.
[37] J. Sarvas,et al. Bioelectromagnetic forward problem: isolated source approach revis(it)ed , 2012, Physics in medicine and biology.
[38] J. Kitching,et al. A low-power, high-sensitivity micromachined optical magnetometer , 2012 .
[39] R. Wakai,et al. A compact, high performance atomic magnetometer for biomedical applications , 2013, Physics in medicine and biology.
[40] E. Riis. Optical Magnetometry , 2013 .
[41] Matti Stenroos,et al. Minimum-norm cortical source estimation in layered head models is robust against skull conductivity error☆☆☆ , 2013, NeuroImage.
[42] Justin F. Schneiderman,et al. Information content with low- vs. high-T c SQUID arrays in MEG recordings: The case for high-T c SQUID-based MEG , 2014, Journal of Neuroscience Methods.
[43] Martin Luessi,et al. MNE software for processing MEG and EEG data , 2014, NeuroImage.
[44] Jens Haueisen,et al. Comparison of three-shell and simplified volume conductor models in magnetoencephalography , 2014, NeuroImage.
[45] Thomas R. Knösche,et al. A guideline for head volume conductor modeling in EEG and MEG , 2014, NeuroImage.
[46] L. Trahms,et al. Fetal magnetocardiography measurements with an array of microfabricated optically pumped magnetometers , 2015, Physics in medicine and biology.
[47] Matthew J. Brookes,et al. On the Potential of a New Generation of Magnetometers for MEG: A Beamformer Simulation Study , 2016, PloS one.
[48] A. Nummenmaa,et al. Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography , 2016, bioRxiv.