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Exploring Symmetry to Assist Alzheimer’s Disease Diagnosis

  • I. A. Illán
  • J. M. Górriz
  • J. Ramírez
  • D. Salas-Gonzalez
  • M. López
  • P. Padilla
  • R. Chaves
  • F. Segovia
  • C. G. Puntonet
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6076)

Abstract

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder first affecting memory functions and then gradually affecting all cognitive functions with behavioral impairments and eventually causing death. Functional brain imaging as Single-Photon Emission Computed Tomography (SPECT) is commonly used to guide the clinician’s diagnosis. The essential left-right symmetry of human brains is shown to play a key role in coding and recognition. In the present work we explore the implications of this symmetry in AD diagnosis, showing that recognition may be enhanced when considering this latent symmetry.

Keywords

Pattern Recognition System Functional Imaging Modality Decision Hyperplane SPECT Brain Image Principal Component Analysis Transformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • I. A. Illán
    • 1
  • J. M. Górriz
    • 1
  • J. Ramírez
    • 1
  • D. Salas-Gonzalez
    • 1
  • M. López
    • 1
  • P. Padilla
    • 1
  • R. Chaves
    • 1
  • F. Segovia
    • 1
  • C. G. Puntonet
    • 2
  1. 1.Dept. of Signal Theory, Networking and CommunicationsUniversity of GranadaSpain
  2. 2.Dept. of Computers Architecture and TechnologyUniversity of GranadaSpain

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