Total and partial coherence analysis of spontaneous and evoked EEG by means of multi-variable autoregressive processing

D. Liberati; M. Cursi; T. Locatelli; G. Comi; S. Cerutti

Total and partial coherence analysis of spontaneous and evoked EEG by means of multi-variable autoregressive processing

D. Liberati, M. Cursi, T. Locatelli, G. Comi, S. Cerutti

IRCCS Ospedale San Raffaele

Research output: Contribution to journal › Article › peer-review

Abstract

The joint use of total and partial coherence between pairs of EEGs simultaneously recorded in a standard set, is shown to enhance what is caused by direct correlation between cortical subsystems and what is instead related to the spread of the electromagnetic field. A multi-variable autoregressive approach is employed in the computation, giving results even for a very short time window, thus allowing coherence to be investigated at the main cortical latencies of evoked potentials. In particular, when a combined visual and somatosensory stimulation is applied, cortical interactions are captured in the frequency domain.

Original language	English
Pages (from-to)	124-130
Number of pages	7
Journal	Medical and Biological Engineering and Computing
Volume	35
Issue number	2
Publication status	Published - 1997

Keywords

Autoregressive processing
Coherence analysis
EEG

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management
Computer Science Applications
Computational Theory and Mathematics

Fingerprint Dive into the research topics of 'Total and partial coherence analysis of spontaneous and evoked EEG by means of multi-variable autoregressive processing'. Together they form a unique fingerprint.

Cite this

@article{021bdf36618a4d1d8fa62ebc3ed8b7d9,

title = "Total and partial coherence analysis of spontaneous and evoked EEG by means of multi-variable autoregressive processing",

abstract = "The joint use of total and partial coherence between pairs of EEGs simultaneously recorded in a standard set, is shown to enhance what is caused by direct correlation between cortical subsystems and what is instead related to the spread of the electromagnetic field. A multi-variable autoregressive approach is employed in the computation, giving results even for a very short time window, thus allowing coherence to be investigated at the main cortical latencies of evoked potentials. In particular, when a combined visual and somatosensory stimulation is applied, cortical interactions are captured in the frequency domain.",

keywords = "Autoregressive processing, Coherence analysis, EEG",

author = "D. Liberati and M. Cursi and T. Locatelli and G. Comi and S. Cerutti",

year = "1997",

language = "English",

volume = "35",

pages = "124--130",

journal = "Medical and Biological Engineering and Computing",

issn = "0140-0118",

publisher = "Springer Verlag",

number = "2",

}

TY - JOUR

T1 - Total and partial coherence analysis of spontaneous and evoked EEG by means of multi-variable autoregressive processing

AU - Liberati, D.

AU - Cursi, M.

AU - Locatelli, T.

AU - Comi, G.

AU - Cerutti, S.

PY - 1997

Y1 - 1997

N2 - The joint use of total and partial coherence between pairs of EEGs simultaneously recorded in a standard set, is shown to enhance what is caused by direct correlation between cortical subsystems and what is instead related to the spread of the electromagnetic field. A multi-variable autoregressive approach is employed in the computation, giving results even for a very short time window, thus allowing coherence to be investigated at the main cortical latencies of evoked potentials. In particular, when a combined visual and somatosensory stimulation is applied, cortical interactions are captured in the frequency domain.

AB - The joint use of total and partial coherence between pairs of EEGs simultaneously recorded in a standard set, is shown to enhance what is caused by direct correlation between cortical subsystems and what is instead related to the spread of the electromagnetic field. A multi-variable autoregressive approach is employed in the computation, giving results even for a very short time window, thus allowing coherence to be investigated at the main cortical latencies of evoked potentials. In particular, when a combined visual and somatosensory stimulation is applied, cortical interactions are captured in the frequency domain.

KW - Autoregressive processing

KW - Coherence analysis

KW - EEG

UR - http://www.scopus.com/inward/record.url?scp=0031105284&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031105284&partnerID=8YFLogxK

M3 - Article

C2 - 9136205

AN - SCOPUS:0031105284

VL - 35

SP - 124

EP - 130

JO - Medical and Biological Engineering and Computing

JF - Medical and Biological Engineering and Computing

SN - 0140-0118

IS - 2

ER -

Total and partial coherence analysis of spontaneous and evoked EEG by means of multi-variable autoregressive processing

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Cite this