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Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window
AIMS: To improve the Magnetoencephalography (MEG) spatial localization precision of focal epileptic. METHODS: 306‐channel simulated or real clinical MEG is estimated as a lower‐dimensional tensor by Tucker decomposition based on Higher‐order orthogonal iteration (HOOI) before the inverse problem usi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193700/ https://www.ncbi.nlm.nih.gov/pubmed/33942534 http://dx.doi.org/10.1111/cns.13643 |
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author | Shi, Li‐juan Wei, Bo‐xuan Xu, Lu Lin, Yi‐cong Wang, Yu‐ping Zhang, Ji‐cong |
author_facet | Shi, Li‐juan Wei, Bo‐xuan Xu, Lu Lin, Yi‐cong Wang, Yu‐ping Zhang, Ji‐cong |
author_sort | Shi, Li‐juan |
collection | PubMed |
description | AIMS: To improve the Magnetoencephalography (MEG) spatial localization precision of focal epileptic. METHODS: 306‐channel simulated or real clinical MEG is estimated as a lower‐dimensional tensor by Tucker decomposition based on Higher‐order orthogonal iteration (HOOI) before the inverse problem using linearly constraint minimum variance (LCMV). For simulated MEG data, the proposed method is compared with dynamic imaging of coherent sources (DICS), multiple signal classification (MUSIC), and LCMV. For clinical real MEG of 31 epileptic patients, the ripples (80–250 Hz) were detected to compare the source location precision with spikes using the proposed method or the dipole‐fitting method. RESULTS: The experimental results showed that the positional accuracy of the proposed method was higher than that of LCMV, DICS, and MUSIC for simulation data. For clinical real MEG data, the positional accuracy of the proposed method was higher than that of dipole‐fitting regardless of whether the time window was ripple window or spike window. Also, the positional accuracy of the ripple window was higher than that of the spike window regardless of whether the source location method was the proposed method or the dipole‐fitting method. For both shallow and deep sources, the proposed method provided effective performance. CONCLUSION: Tucker estimation of MEG for source imaging by ripple window is a promising approach toward the presurgical evaluation of epileptics. |
format | Online Article Text |
id | pubmed-8193700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81937002021-06-15 Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window Shi, Li‐juan Wei, Bo‐xuan Xu, Lu Lin, Yi‐cong Wang, Yu‐ping Zhang, Ji‐cong CNS Neurosci Ther Original Articles AIMS: To improve the Magnetoencephalography (MEG) spatial localization precision of focal epileptic. METHODS: 306‐channel simulated or real clinical MEG is estimated as a lower‐dimensional tensor by Tucker decomposition based on Higher‐order orthogonal iteration (HOOI) before the inverse problem using linearly constraint minimum variance (LCMV). For simulated MEG data, the proposed method is compared with dynamic imaging of coherent sources (DICS), multiple signal classification (MUSIC), and LCMV. For clinical real MEG of 31 epileptic patients, the ripples (80–250 Hz) were detected to compare the source location precision with spikes using the proposed method or the dipole‐fitting method. RESULTS: The experimental results showed that the positional accuracy of the proposed method was higher than that of LCMV, DICS, and MUSIC for simulation data. For clinical real MEG data, the positional accuracy of the proposed method was higher than that of dipole‐fitting regardless of whether the time window was ripple window or spike window. Also, the positional accuracy of the ripple window was higher than that of the spike window regardless of whether the source location method was the proposed method or the dipole‐fitting method. For both shallow and deep sources, the proposed method provided effective performance. CONCLUSION: Tucker estimation of MEG for source imaging by ripple window is a promising approach toward the presurgical evaluation of epileptics. John Wiley and Sons Inc. 2021-05-04 /pmc/articles/PMC8193700/ /pubmed/33942534 http://dx.doi.org/10.1111/cns.13643 Text en © 2021 The Authors. CNS Neuroscience & Therapeutics Published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Shi, Li‐juan Wei, Bo‐xuan Xu, Lu Lin, Yi‐cong Wang, Yu‐ping Zhang, Ji‐cong Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window |
title | Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window |
title_full | Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window |
title_fullStr | Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window |
title_full_unstemmed | Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window |
title_short | Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window |
title_sort | magnetoencephalography for epileptic focus localization based on tucker decomposition with ripple window |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193700/ https://www.ncbi.nlm.nih.gov/pubmed/33942534 http://dx.doi.org/10.1111/cns.13643 |
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