Localization of Brain Activity from EEG/MEG Using MV-PURE Framework
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2018
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| _version_ | 1866911974181306368 |
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| author | Piotrowski, Tomasz Nikadon, Jan Moiseev, Alexander |
| author_facet | Piotrowski, Tomasz Nikadon, Jan Moiseev, Alexander |
| contents | We consider the problem of localization of sources of brain electrical activity from electroencephalographic (EEG) and magnetoencephalographic (MEG) measurements using spatial filtering techniques. We propose novel reduced-rank activity indices based on the minimum-variance pseudo-unbiased reduced-rank estimation (MV-PURE) framework. The main results of this paper establish the key unbiasedness property of the proposed indices and their higher spatial resolution compared with full-rank indices in challenging task of localizing closely positioned and possibly highly correlated sources, especially in low signal-to-noise regime. Numerical examples are provided to illustrate the practical applicability of the proposed activity indices using both simulated and real data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1809_03930 |
| institution | arXiv |
| publishDate | 2018 |
| record_format | arxiv |
| spellingShingle | Localization of Brain Activity from EEG/MEG Using MV-PURE Framework Piotrowski, Tomasz Nikadon, Jan Moiseev, Alexander Signal Processing Neurons and Cognition 94A12, 60G35, 92C55, 15A29 We consider the problem of localization of sources of brain electrical activity from electroencephalographic (EEG) and magnetoencephalographic (MEG) measurements using spatial filtering techniques. We propose novel reduced-rank activity indices based on the minimum-variance pseudo-unbiased reduced-rank estimation (MV-PURE) framework. The main results of this paper establish the key unbiasedness property of the proposed indices and their higher spatial resolution compared with full-rank indices in challenging task of localizing closely positioned and possibly highly correlated sources, especially in low signal-to-noise regime. Numerical examples are provided to illustrate the practical applicability of the proposed activity indices using both simulated and real data. |
| title | Localization of Brain Activity from EEG/MEG Using MV-PURE Framework |
| topic | Signal Processing Neurons and Cognition 94A12, 60G35, 92C55, 15A29 |
| url | https://arxiv.org/abs/1809.03930 |