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Titolo:
Analysis of pain-related somatosensory evoked magnetic fields using the MUSIC (multiple signal classification) algorithm for magnetoencephalography
Autore:
Ninomiya, Y; Kitamura, Y; Yamamoto, S; Okamoto, M; Oka, H; Yamada, N; Kuroda, S;
Indirizzi:
Okayama Univ, Sch Med, Dept Neuropsychiat, Okayama 7008558, Japan Okayama Univ Okayama Japan 7008558 Neuropsychiat, Okayama 7008558, Japan Okayama Ryogo Ctr, Okayama 7000927, Japan Okayama Ryogo Ctr Okayama Japan 7000927 yogo Ctr, Okayama 7000927, Japan Okayama Univ, Sch Hlth Sci, Okayama 7008558, Japan Okayama Univ Okayama Japan 7008558 Sch Hlth Sci, Okayama 7008558, Japan
Titolo Testata:
NEUROREPORT
fascicolo: 8, volume: 12, anno: 2001,
pagine: 1657 - 1661
SICI:
0959-4965(20010613)12:8<1657:AOPSEM>2.0.ZU;2-X
Fonte:
ISI
Lingua:
ENG
Soggetto:
TIBIAL NERVE-STIMULATION; SOURCE LOCALIZATION; EEG;
Keywords:
Multiple signal classification (MUSIC) algorithm; pain-related somatosensory-evoked magnetic fields; whole-head-type magnetoencephalography;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
14
Recensione:
Indirizzi per estratti:
Indirizzo: Yamada, N Okayama Univ, Sch Med, Dept Neuropsychiat, 2-5-1 Shikata Cho, Okayama 7008558, Japan Okayama Univ 2-5-1 Shikata Cho Okayama Japan 7008558 558, Japan
Citazione:
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

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 prominenton 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.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 28/01/20 alle ore 21:03:47