Assessing interactions in the brain with exact low-resolution electromagnetic tomography
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- Roberto D. Pascual-Marqui
- The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Lenggstrasse 31, 8032 Zurich, Switzerland
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- Dietrich Lehmann
- The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Lenggstrasse 31, 8032 Zurich, Switzerland
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- Martha Koukkou
- The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Lenggstrasse 31, 8032 Zurich, Switzerland
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- Kieko Kochi
- The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Lenggstrasse 31, 8032 Zurich, Switzerland
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- Peter Anderer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
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- Bernd Saletu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
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- Hideaki Tanaka
- Department of Neurology, Dokkyo University School of Medicine, Tochigi, Japan
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- Koichi Hirata
- Department of Neurology, Dokkyo University School of Medicine, Tochigi, Japan
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- E. Roy John
- Brain Research Laboratories, Department of Psychiatry, New York University School of Medicine, NY, USA
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- Leslie Prichep
- Brain Research Laboratories, Department of Psychiatry, New York University School of Medicine, NY, USA
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- Rolando Biscay-Lirio
- Institute for Cybernetics, Mathematics, and Physics, Havana, Cuba
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- Toshihiko Kinoshita
- Department of Neuropsychiatry, Kansai Medical University Hospital, 10-15, Fumizono-cho, Moriguchi, Osaka, 570-8507, Japan
説明
<jats:p>Scalp electric potentials (electroencephalogram; EEG) are contingent to the impressed current density unleashed by cortical pyramidal neurons undergoing post-synaptic processes. EEG neuroimaging consists of estimating the cortical current density from scalp recordings. We report a solution to this inverse problem that attains exact localization: exact low-resolution brain electromagnetic tomography (eLORETA). This non-invasive method yields high time-resolution intracranial signals that can be used for assessing functional dynamic connectivity in the brain, quantified by coherence and phase synchronization. However, these measures are non-physiologically high because of volume conduction and low spatial resolution. We present a new method to solve this problem by decomposing them into instantaneous and lagged components, with the lagged part having almost pure physiological origin.</jats:p>
収録刊行物
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- Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369 (1952), 3768-3784, 2011-10-13
The Royal Society
