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Multivariate Pattern Recognition Analysis: Brain Decoding

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Coma and Disorders of Consciousness

Abstract

Advanced mathematical tools are still under development to allow the classification of more complicated experimental data sets, such as examining the content of mind wandering or detecting the state of consciousness of a patient showing no response to a command. Nevertheless, in view of the recent advances in multivariate pattern analysis, brain decoding techniques will certainly become more common in the study of consciousness. Their application as a diagnostic tool to differentiate patients presents obvious advantages such as objectiveness, automation and the fact that a posterior probability can be provided with the final prediction, compared to current time-consuming and subjective criteria.

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Authors and Affiliations

  1. Cyclotron Research Center, University of Liège, Allée du 6 Août, Sart Tilman B30, 4000, Liège, Belgium

    Jessica Schrouff M.Sc. & Christophe L. M. Phillips Ph.D.

Authors
  1. Jessica Schrouff M.Sc.
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  2. Christophe L. M. Phillips Ph.D.
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Correspondence to Jessica Schrouff M.Sc. .

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Editors and Affiliations

  1. , Cyclotron Research Centre, University of Liège, Allée du 6 août 8, Liège, B-4000, Belgium

    Caroline Schnakers

  2. , Cyclotron Research Centre, University of Liège, Allée du 6 août 8, Liège, 4000, Belgium

    Steven Laureys

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© 2012 Springer-Verlag London

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Schrouff, J., Phillips, C.L.M. (2012). Multivariate Pattern Recognition Analysis: Brain Decoding. In: Schnakers, C., Laureys, S. (eds) Coma and Disorders of Consciousness. Springer, London. https://doi.org/10.1007/978-1-4471-2440-5_4

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  • DOI: https://doi.org/10.1007/978-1-4471-2440-5_4

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  • Print ISBN: 978-1-4471-2439-9

  • Online ISBN: 978-1-4471-2440-5

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