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Titolo:
Real time human brain function: Observations and inferences from single trial analysis of magnetoencephalographic signals
Autore:
Ioannides, AA;
Indirizzi:
RIKEN, Lab Human Brain Dynam, Brain Sci Inst, Wako, Saitama 3510198, JapanRIKEN Wako Saitama Japan 3510198 n Sci Inst, Wako, Saitama 3510198, Japan
Titolo Testata:
CLINICAL ELECTROENCEPHALOGRAPHY
fascicolo: 3, volume: 32, anno: 2001,
pagine: 98 - 111
SICI:
0009-9155(200107)32:3<98:RTHBFO>2.0.ZU;2-0
Fonte:
ISI
Lingua:
ENG
Soggetto:
HUMAN AUDITORY-CORTEX; MEG SIGNALS; FACIAL EXPRESSIONS; DENSITY ANALYSIS; MACAQUE MONKEY; AMYGDALA; LOCALIZATION; VARIABILITY; RECOGNITION; RESPONSES;
Keywords:
affect recognition; Contingent Magnetic Variation (CMV); face recognition; Magnetic Field Tomography (MFT); Magnetoencephalography (MEG); mutual information; single trial analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
34
Recensione:
Indirizzi per estratti:
Indirizzo: Ioannides, AA RIKEN, Lab Human Brain Dynam, Brain Sci Inst, 2-1 Hirosawa, Wako, Saitama 3510198, Japan RIKEN 2-1 Hirosawa Wako Saitama Japan 3510198 3510198, Japan
Citazione:
A.A. Ioannides, "Real time human brain function: Observations and inferences from single trial analysis of magnetoencephalographic signals", CLIN ELECTR, 32(3), 2001, pp. 98-111

Abstract

This paper brings together results obtained by applying Magnetic Field Tomography (MFT) to the analysis of Magnetoencephalography (MEG) data over thelast decade. It emphasizes the most recent developments where the availability of helmet-like MEG probes with well over 100 sensing coils provide a full coverage of the head. The paper shows that it is possible to extract tomographic information from single trial, millisecond by millisecond MEG signal, and demonstrates two ways that this capability can be exploited. First, the single trial reconstructions are used to obtain robust statistical measures of changes of activity over small latency windows. Second, the interaction between areas is studied by computing the mutual information betweenshort, time-lagged sections of the single trial time-courses. The usefulness of the computationally demanding approach is demonstrated by analyzing experiments using two widely used protocols, one for face and affect recognition and the other for Contingent Magnetic Variation (CMV). The results show foci of significant changes of activity, which are consistent with what is reported in the literature and provide a deeper understanding of their significance. Some new, but not all that unexpected, findings also emerge from the analysis.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/01/20 alle ore 03:53:20