Tang, Akaysha and Pearlmutter, Barak A. and Zibulevsky, Michael and Carter, Scott A. (2000) Blind source separation of multichannel neuromagnetic responses. Neurocomputing, 32. pp. 1115-1120. ISSN 0925-2312

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Abstract

Magnetoencephalography (MEG) is a functional brain imaging technique with millisecond temporal resolution and millimeter spatial sensitivity. The high temporal resolution of MEG compared to fMRI and PET (milliseconds vs. seconds and tens of seconds) makes it ideal for measuring the precise time of neuronal responses, thereby o!ering a powerful tool for studying temporal dynamics. We applied blind-source separation (BSS) to continuous 122-channel human magnetoencephalographic data from two subjects and "ve tasks. We demonstrate that without using any domain-speci"c knowledge and without making the common assumption of single- or multiple-current dipole sources, BSS is capable of separating non-neuronal noise sources from neuronal responses and also of separating neuronal responses from di!erent sensory modalities, and from di!erent processing stages within a given modality

Item Type:	Article
Keywords:	Functional brain imaging; Independent components analysis; Magnetoencephalography; Blind source separation;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	5535
Identification Number:	https://doi.org/10.1016/S0925-2312(00)00286-1
Depositing User:	Barak Pearlmutter
Date Deposited:	04 Nov 2014 10:14
Journal or Publication Title:	Neurocomputing
Publisher:	Elsevier
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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