Controlled Support MEG imaging
| Autor: | Srikantan S. Nagarajan, Oleg Portniaguine, Chris R. Johnson, Kensuke Sekihara, Dosik Hwang |
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| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Current (mathematics)
Computer science Cognitive Neuroscience Monte Carlo method Machine learning computer.software_genre Article Tikhonov regularization Bayes' theorem medicine Image Processing Computer-Assisted Humans Computer Simulation medicine.diagnostic_test business.industry Brain Magnetoencephalography Reproducibility of Results Bayes Theorem Neurology Artificial intelligence business computer Algorithm Monte Carlo Method Algorithms |
| Popis: | In this paper, we present a novel approach to imaging sparse and focal neural current sources from MEG (magnetoencephalography) data. Using the framework of Tikhonov regularization theory, we introduce a new stabilizer that uses the concept of controlled support to incorporate a priori assumptions about the area occupied by focal sources. The paper discusses the underlying Tikhonov theory and its relationship to a Bayesian formulation which in turn allows us to interpret and better understand other related algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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