Analysis of pain-related somatosensory evoked magnetic fields using the MUSIC (multiple signal classification) algorithm for magnetoencephalography
Citation
Y. Ninomiya et al., Analysis of pain-related somatosensory evoked magnetic fields using the MUSIC (multiple signal classification) algorithm for magnetoencephalography, NEUROREPORT, 12(8), 2001, pp. 1657-1661
Categorie Soggetti
Neurosciences & Behavoir
Journal title
NEUROREPORT
SICI code
0959-4965(20010613)12:8<1657:AOPSEM>2.0.ZU;2-X
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 o
f middle latency components were located around the primary somatosensory c
ortex (SI), contralateral to the stimulated finger. Long latency components
were located around the bilateral secondary somatosensory cortices (SII) a
nd 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 e
stimation. These findings suggest that the MUSIC algorithm could be a usefu
l tool for analysis of pain-related SEFs. NeuroReport 12:1657-1661 (C) 2001
Lippincott Williams & Wilkins.