Nonlinear techniques and neural activity: emergent trends in MEG data

Author

La Rosa, M. ; Bucolo, M. ; Bucolo, G. ; Fortuna, L. ; Frasca, M. ; Shannahoff-Khalsa, D. ; Sorbello, M.

Author_Institution

Dipt. di Ingegneria Electr. Electron. e dei Syst., Univ. degli Studi di Catania, Italy

Volume

4

fYear

2004

fDate

23-26 May 2004

Abstract

Nonlinear spatio-temporal analysis was performed on neural activity recorded with 148-channel whole-head magnetoencephalography (MEG). The analysis consists of two phases: artifact removal and nonlinear feature evaluation. Known artifacts, produced by cardiac and eye movement, and unknown artifacts have been isolated from neural activity by using two adaptive filters in a cascade configuration. Secondly, phase space reconstruction of multivariate MEG measurements were performed using both temporal and spatial embedding. Indices of nonlinear dynamics are defined and evaluated showing invariant features both in time and space.

Keywords

adaptive filters; biomechanics; magnetoencephalography; neural nets; phase space methods; spatiotemporal phenomena; MEG data; adaptive filters; cardiac movement; eye movement; head magnetoencephalography; multivariate MEG measurements; neural activity; nonlinear dynamics; nonlinear feature evaluation; nonlinear spatiotemporal analysis; phase space reconstruction; Adaptive filters; Extraterrestrial measurements; Magnetic analysis; Magnetoencephalography; Neurons; Performance analysis; Performance evaluation; Protocols; Scalp; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on

Print_ISBN

0-7803-8251-X

Type

conf

DOI

10.1109/ISCAS.2004.1328941

Filename

1328941