ArticleCNS neuroscience & therapeutics2021
Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window.
Article in CNS neuroscience & therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- EEG multi-domain feature transfer based on sparse regularized Tucker decomposition.Cognitive neurodynamics · 2024Article
- The association of magnetoencephalography high-frequency oscillations with epilepsy types and a ripple-based method with source-level connectivity for mapping epilepsy sources.CNS neuroscience & therapeutics · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
aimsTo improve the Magnetoencephalography (MEG) spatial localization precision of focal epileptic.
methods306-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.
resultsThe 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.
conclusionTucker estimation of MEG for source imaging by ripple window is a promising approach toward the presurgical evaluation of epileptics.
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