Monte Carlo simulation studies of EEG and MEG localization accuracy
By A. Liu, A. M. Dale, J. Belliveau. Human Brain Mapping, 2002
359 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/5dc21e9d113b8c85e9766f016bb2f42628090704
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Micah M. Murray
- C. Michel
- Bruce Fischl
- A. M. Dale
- Antonia Thelen
- Roberto Martuzzi
- Eric Halgren
- Cyma K Van Petten
In Radiology, Nuclear Medicine and Imaging
- Bruce Fischl
- Micah M. Murray
- A. M. Dale
- C. Michel
- Eric Halgren
- Cyma K Van Petten
- Thomas Witzel
- Matti S. Hämäläinen
Citations in the corpus
- N400-like Magnetoencephalography Responses Modulated by Semantic Context, Word Frequency, and Lexical Class in Sentences (2002, methodology): “Of specific interest to this study, simulations using the same sensor array and analysis method as the current study indicated that the point-spread function is typical in the areas where intracranial EEG has identified N400 generators (Liu et al., 2002).”
- Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates (2006, background): “(2) is interpreted to be a minimizer of a cost function composed of a weighted leastsquares error and a penalty term which is a weighted norm of the currents (Liu et al., 2002), depth weighting amounts to assigning more penalty to the superficial currents.”
- EEG source imaging. (2004, methodology): “While Liu et al. (2002), used the resolution kernels to compare EEG and MEG, Grave de Peralta Menendez and Gonzalez Andino (1998) used this framework to evaluate different inverse solutions.”
- FreeSurfer (2012, methodology): “j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / y n i m g the vast majority of the EEG/MEG signal.”
- Electrical neuroimaging based on biophysical constraints (2004, background): “This explains why the introduction of anatomically, physiologically, and functionally based a priori information is receiving increased attention (Bablioni et al., in press; Dale and Sereno, 1993; Fuchs et al., 1999; Hauk et al., 2002; Liu et al., 2002; Phillips et al., 2002).”