Analysis of pain-related somatosensory evoked magnetic fields using the MUSIC (multiple signal classification) algorithm for magnetoencephalography

被引:10
作者
Ninomiya, Y
Kitamura, Y
Yamamoto, S
Okamoto, M
Oka, H
Yamada, N
Kuroda, S
机构
[1] Okayama Univ, Sch Med, Dept Neuropsychiat, Okayama 7008558, Japan
[2] Okayama Ryogo Ctr, Okayama 7000927, Japan
[3] Okayama Univ, Sch Hlth Sci, Okayama 7008558, Japan
关键词
Multiple signal classification (MUSIC) algorithm; pain-related somatosensory-evoked magnetic fields; whole-head-type magnetoencephalography;
D O I
10.1097/00001756-200106130-00029
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
We evaluated the effectiveness of the Multiple Signal Classification (MUSIC) algorithm by analysing pain-related somatosensory-evoked magnetic fields (SEFs) by 148-channel whole-head-type magnetoencephalography. MUSIC peaks of middle latency components were located around the primary somatosensory cortex (SI), contralateral to the stimulated finger. Long latency components were located around the bilateral secondary somatosensory cortices (SII) and cingulate gyri. Peaks at the SII and cingulate gyri were more prominent on very painful and moderately painful stimulation than on weak stimulation. The results were in very good agreement with results from single dipole estimation. These findings suggest that the MUSIC algorithm could be a useful tool for analysis of pain-related SEFs. NeuroReport 12:1657-1661 (C) 2001 Lippincott Williams & Wilkins.
引用
收藏
页码:1657 / 1661
页数:5
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