Constrained Tensor Decomposition via Guidance: Increased Inter and Intra-Group Reliability in fMRI Analyses

  • Peter B. WalkerEmail author
  • Sean Gilpin
  • Sidney Fooshee
  • Ian Davidson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9183)


Recently, Davidson and his colleagues introduced a promising new approach to analyzing functional Magnetic Resonance Imaging (fMRI) that suggested a more appropriate analytic approach is one that views the spatial and temporal activation as a multi-way tensor [1]. In this paper, we illustrate how the use of prior domain knowledge might be incorporated into the deconstruction of the tensor so as to increase analytical reliability. These results will be discussed in reference to implications towards military selection and classification.


Tensor decomposition Functional magnetic resonance imaging Reliability 



This research is supported by Office of Naval Research grant NAVY 00014-09-1-0712. The opinions of the authors do not necessarily reflect those of the United States Navy or the University of California - Davis.

Peter B Walker and Sidney Fooshee are military service members. This work was prepared as part of their official duties. Title 17 U.S.C. 101 defines U.S. Government work as a work prepared by a military service member or employee of the U.S. Government as part of that person’s official duties.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Peter B. Walker
    • 1
    Email author
  • Sean Gilpin
    • 2
  • Sidney Fooshee
    • 3
  • Ian Davidson
    • 2
  1. 1.Naval Medical Research CenterSilver SpringUSA
  2. 2.University of California – DavisDavisUSA
  3. 3.United States Navy – Aerospace Experimental PsychologyAnn ArborUSA

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