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    Recording and analyzing high-density event-related potentials with infants using the Geodesic Sensor Net

    Johnson, M.H. and De Haan, M. and Oliver, A. and Smith, W. and Hatzakis, H. and Tucker, L.A. and Csibra, Gergely (2001) Recording and analyzing high-density event-related potentials with infants using the Geodesic Sensor Net. Developmental Neuropsychology 19 (3), pp. 295-323. ISSN 8756-5641.

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    Abstract

    This article provides an overview of the use of the Geodesic sensor net system for high-density event-related potential (ERP) recording in infants. Some advantages and disadvantages of the system, as applied to infants, are discussed. First, we illustrate that high-density data can be recorded from infants at comparable quality to that observed with conventional (low density) ERP methods. Second, we discuss ways to utilize the greater spatial information available by applying source separation and localization procedures. In particular, we focus on the application of one recent source separation method, Independent Component Analysis (ICA). Finally, we show that source localization can be applied to infant high-density data, although this entails adopting a number of assumptions that remain to be verified. In the future, with improved source separation algorithms, we suggest that single-trial or single-subject analyses may become feasible.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Depositing User: Sarah Hall
    Date Deposited: 15 Oct 2019 16:22
    Last Modified: 15 Oct 2019 16:22
    URI: http://eprints.bbk.ac.uk/id/eprint/29509

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