• DocumentCode
    2765791
  • Title

    Using Neural Networks with Automatic Relevance Determination to Identify Regions of the Thalamus Implicated in Schizophrenia

  • Author

    Browne, A.

  • Author_Institution
    Surrey Univ., Guildford
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    97
  • Lastpage
    101
  • Abstract
    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 work examined thalamic levels of the metabolite N-acetylaspartate (NAA), taken from schizophrenics and controls using in-vivo proton magnetic resonance spectroscopic imaging. Neural networks were trained on this data, and automatic relevance determination (ARD) identified NAA group differences in the pulvinar and mediodorsal nucleus, underscoring the importance of examining thalamic subregions in schizophrenia.
  • Keywords
    brain; medical diagnostic computing; neural nets; neurophysiology; patient diagnosis; automatic relevance determination; in-vivo proton magnetic resonance spectroscopic imaging; mediodorsal nucleus; metabolite N-acetylaspartate; neural networks; pathophysiology; schizophrenia; thalamus; Biological neural networks; Biomedical imaging; Brain; Intelligent networks; Magnetic resonance; Magnetic resonance imaging; Neural networks; Protons; Psychiatry; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.246665
  • Filename
    1716076