Jeffrey David Lewine

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Performances of electroencephalography (EEG) and magnetoencephalography (MEG) source estimation methods depend on the validity of the assumed model. In many cases, the model structure is related to physical information. We discuss a number of statistical selection methods to distinguish between two possible models using least-squares estimation and assuming(More)
Neural activity in the brain produces weak dynamic electromagnetic fields that can be measured by an array of sensors. Using a spatiotemporal modeling framework, a novel approach to localization of multiple neural sources has been developed. This approach is based on the MUSIC algorithm originally developed for estimating the direction of arrival of signals(More)
During the past decade, Magnetic Resonance Imaging (MRI) has become the method of choice for imaging the anatomy of the human brain. Recently, Belliveau and colleagues [1,2] have reported the use of echo planar magnetic resonance imaging (EPI) to image patterns of neural activity. Here, we report functional MR imaging in response to visual stimulation(More)
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