Titlebook: Electromagnetic Brain Imaging; A Bayesian Perspecti Kensuke Sekihara,Srikantan S. Nagarajan Textbook 2015 Springer International Publishing

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Introduction to Electromagnetic Brain Imaging,ging (fMRI) has been the predominant modality for imaging the functioning brain since the middle of the 1990s. fMRI measures changes in blood oxygenation-level-dependent (BOLD) signals caused by neuronal activation. It is a noninvasive method that allows for whole-brain measurement and the examinati

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Adaptive Beamformers,ular spatial location, which is referred to as the beamformer pointing location. Thus, the beamformer may be interpreted as a technique that forms a virtual sensor whose sensitivity pattern is localized at its pointing location. By postprocessing, the pointing location can be scanned over the source

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Introduction to Electromagnetic Brain Imaging,on of activity in deep brain structures. Importantly, the widespread availability of commercial and open-source tools for analysis of fMRI data has enabled many researchers to easily embrace this technology.

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eering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging..978-3-319-35643-3978-3-319-14947-9

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.Includes supplementary material: .This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engin

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Textbook 2015eady to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging..

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