2024-03-28T16:13:47Z
https://niigata-u.repo.nii.ac.jp/oai
oai:niigata-u.repo.nii.ac.jp:00002166
2022-12-15T03:35:03Z
423:424:425
453:454
Cortical Potential Imaging of Brain Electrical Activity by Means of Parametric Projection Filter
Hori, J.
Lian, J.
He, B.
High Resolution EEG
cortical potential imaging
inverse problem
parametric projection filter
noise covariance
Objectives: The objective of this study was to explore suitable spatial filters for inverse estimation of cortical potentials from the scalp electroencephalogram. The effect of incorporating noise covariance into inverse procedures was examined by computer simulations and tested in human experiment. Methods: The parametric projection filter, which allows inverse estimation with the presence of information on the noise, was applied to an inhomogeneous three-concentric-sphere model under various noise conditions in order to estimate the cortical potentials from the scalp potentials. The method for determining the optimum regularization parameter, which can be applied for parametric inverse techniques, is also discussed. Results: Human visual evoked potential experiment was carried out to examine the performance of the proposed restoration method. The parametric projection filter gave more localized inverse solution of cortical potential distribution than the truncated SVD and Tikhonov regularization. Conclusion: The present simulation results suggest that incorporation of information on the noise covariance allows better estimation of cortical potentials, than inverse solutions without knowledge about the noise covariance, when the correlation between the signal and noise is low.
Schattauer
2004
eng
journal article
VoR
http://hdl.handle.net/10191/25909
https://niigata-u.repo.nii.ac.jp/records/2166
http://doi.org/10.1055/s-0038-1633837
AA00737631
0026-1270
Methods of Information in Medicine
43
1
66
69
https://niigata-u.repo.nii.ac.jp/record/2166/files/43_1_66-69.pdf
application/pdf
152.2 kB
2019-07-29