Neural source estimation from a time-frequency component of somatic evoked high-frequency magnetic oscillations to posterior tibial nerve stimulation

被引:20
作者
Sakuma, K
Sekihara, K
Hashimoto, I
机构
[1] JST Mind Articulat Project, Tokyo 1130034, Japan
[2] Tokyo Inst Psychiat, Dept Psychophysiol, Setagaya Ku, Tokyo 1560057, Japan
关键词
somatosensory colter; high-frequency magnetic oscillations; posterior tibial nerve; magnetoencephalography; time-frequency components; multiple signal classification algorithm;
D O I
10.1016/S1388-2457(99)00120-0
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: High frequency oscillations (HFOs) evoked by posterior tibial nerve stimulation were recorded using magnetoencephalography (MEG). Time-frequency domain multiple signal classification (TF-MUSIC) algorithm was applied, and the usefulness of this method was demonstrated. Methods: Ten normal subjects were studied. To localize sources for the HFOs of those somatosensory evoked fields, we applied two kinds of methods: the single moving dipole (SMD) method and the TF-MUSIC method. The SMD method was applied after digitally band-pass filtering the somatosensory response with a bandwidth of 500-800 Hz. To estimate the locations of sources with the TF-MUSIC algorithm, we first set the target region on the spectrogram of the somatosensory responses. Then, the procedure described in Section 2.2 was applied with this target region. Results: A clear, isolated region was detected in 6 out of 10 subjects using a time-frequency spectrogram. The averaged distance of the dipole sources between the HFOs and the underlying P37m using the TF-MUSIC algorithm was smaller than using the SMD method. Conclusions: The TF-MUSIC algorithm is suitable for extracting a target response whose spectrum changes significantly during the observation. (C) 1999 Elsevier Science Ireland Ltd. All rights reserved.
引用
收藏
页码:1585 / 1588
页数:4
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