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    Independent Components of Magnetoencephalography: Localization

    Tang, Akaysha and Pearlmutter, Barak A. and Malaszenko, Natalie A. and Phung, Dan B. and Reeb, Bethany C. (2002) Independent Components of Magnetoencephalography: Localization. Neural Computation, 14 (8). pp. 1827-1858. ISSN 0899-7667

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    We applied second-order blind identification (SOBI), an independent component analysis (ICA) method, to MEG data collected during cognitive tasks. We explored SOBI’s ability to help isolate underlying neuronal sources with relatively poor signal-to-noise ratios, allowing their identification and localization. We compare localization of the SOBI-separated components to localization from unprocessed sensor signals, using an equivalent current dipole (ECD) modeling method. For visual and somatosensory modalities, SOBI preprocessing resulted in components that can be localized to physiologically and anatomically meaningful locations. Furthermore, this preprocessing allowed the detection of neuronal source activations that were otherwise undetectable. This increased probability of neuronal source detection and localization can be particularly beneficial for MEG studies of higher level cognitive functions, which often have greater signal variability and degraded signal-to-noise ratios than sensory activation tasks.

    Item Type: Article
    Keywords: Independent Components; Magnetoencephalography; Localization;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 5506
    Depositing User: Barak Pearlmutter
    Date Deposited: 15 Oct 2014 13:46
    Journal or Publication Title: Neural Computation
    Publisher: MIT Press
    Refereed: Yes
    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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