• DocumentCode
    1136451
  • Title

    Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia

  • Author

    Browne, Antony ; Jakary, Angela ; Vinogradov, Sophia ; Fu, Yu ; Deicken, Raymond F.

  • Author_Institution
    Comput. Dept., Univ. of Surrey, Guildford
  • Volume
    19
  • Issue
    6
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    1101
  • Lastpage
    1107
  • Abstract
    There have been many theories about and computational models of the Schizophrenic disease state. Brain imaging techniques have suggested that abnormalities of the Thalamus may contribute to the pathophysiology of Schizophrenia. Several studies have found the Thalamus to be altered in Schizophrenia, and the Thalamus has connections with other brain structures implicated in the disorder. This paper describes an experiment examining thalamic levels of the metabolite N-acetylaspartate (NAA), taken from schizophrenics and controls using in vivo proton magnetic resonance spectroscopic imaging. Automatic relevance determination was performed on neural networks trained on this data, identifying NAA group differences in the pulvinar and mediodorsal nucleus, underscoring the importance of examining thalamic subregions in schizophrenia.
  • Keywords
    biomedical MRI; brain; learning (artificial intelligence); magnetic resonance spectroscopy; neural nets; Schizophrenic disease; automatic relevance determination; brain imaging techniques; in vivo proton magnetic resonance spectroscopic imaging; mediodorsal nucleus; metabolite N-acetylaspartate; neural networks; pathophysiology; thalamic regions; Aspartic Acid; Brain Mapping; Choline; Humans; Image Processing, Computer-Assisted; Linear Models; Magnetic Resonance Spectroscopy; Male; Nerve Net; Protons; Schizophrenia; Thalamus;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2008.2000203
  • Filename
    4493273