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

Yotaro Ninomiya, Yoshihiro Kitamura, Shin Yamamoto, Motoi Okamoto, Hisao Oka, Norihito Yamada, Shigetoshi Kuroda

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1657-1661
Number of pages5
JournalNeuroReport
Volume12
Issue number8
DOIs
Publication statusPublished - Jun 13 2001

Keywords

  • Multiple signal classification (MUSIC) algorithm
  • Pain-related somatosensory-evoked magnetic fields
  • Whole-head-type magnetoencephalography

ASJC Scopus subject areas

  • Neuroscience(all)

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