Exploring symmetry to assist alzheimer's disease diagnosis

  • Authors:

  • I. A. Illán;J. M. Górriz;J. Ramírez;D. Salas-Gonzalez;M. López;P. Padilla;R. Chaves;F. Segovia;C. G. Puntonet

  • Affiliations:

  • Dept of Signal Theory, Networking and Communications, University of Granada, Spain;Dept of Signal Theory, Networking and Communications, University of Granada, Spain;Dept of Signal Theory, Networking and Communications, University of Granada, Spain;Dept of Signal Theory, Networking and Communications, University of Granada, Spain;Dept of Signal Theory, Networking and Communications, University of Granada, Spain;Dept of Signal Theory, Networking and Communications, University of Granada, Spain;Dept of Signal Theory, Networking and Communications, University of Granada, Spain;Dept of Signal Theory, Networking and Communications, University of Granada, Spain;Dept of Computers Architecture and Technology, University of Granada, Spain

  • Venue:
  • HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
  • Year:
  • 2010

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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.