Dataset Information

Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window.

ABSTRACT:

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.

SUBMITTER: Shi LJ

PROVIDER: S-EPMC8193700 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Publications

Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window.

Shi Li-Juan LJ Wei Bo-Xuan BX Xu Lu L Lin Yi-Cong YC Wang Yu-Ping YP Zhang Ji-Cong JC

CNS neuroscience & therapeutics 20210504 7

<h4>Aims</h4>To improve the Magnetoencephalography (MEG) spatial localization precision of focal epileptic.<h4>Methods</h4>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 (MU ...[more]

PMID: 33942534

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Dataset Information

Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window.

Aims

Methods

Results

Conclusion

Publications

Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window.

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