Calibration methods for nonlinear MEG imaging and multimodal source analysis
نویسندگان
چکیده
منابع مشابه
Source-space ICA for MEG source imaging.
OBJECTIVE One of the most widely used approaches in electroencephalography/magnetoencephalography (MEG) source imaging is application of an inverse technique (such as dipole modelling or sLORETA) on the component extracted by independent component analysis (ICA) (sensor-space ICA + inverse technique). The advantage of this approach over an inverse technique alone is that it can identify and loc...
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We present the four key areas of research-preprocessing, the volume conductor, the forward problem, and the inverse problem-that affect the performance of EEG and MEG source imaging. In each key area we identify prominent approaches and methodologies that have open issues warranting further investigation within the community, challenges associated with certain techniques, and algorithms necessi...
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Activity of individual cortical sources cannot be uniquely imaged when MEG data is a sequence of complex spatial patterns of multiple cortical sources. Auxiliary constraints integrated into the imaging equations are required to remove the mathematical ambiguity. Therefore, it is important to adapt source separation techniques to MEG imaging. It is much easier to accurately image field patterns ...
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Recovering electrical activity of the brain from MEG/EEG measurements is known as the MEEG inverse problem. It is an ill-posed problem in several senses. One is that there is further less data observed than data to recover. One way to address this issue is to search for regular solutions. We present here a framework for applying image processing filtering techniques to the MEEG inverse problem....
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The regression model is y = f(X,θ) + ε . The vector y contains potentials measured on N sensors. f(X,θ) is the vector with modeled potentials. X is the matrix with sensor coordinates, θ the vector with P source parameters of D sources, and ε the noise vector. Let G be the N by P matrix with the first order partial derivatives of the N modeled potentials to the P parameters. The covariance matri...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2010
ISSN: 1662-453X
DOI: 10.3389/conf.fnins.2010.06.00055