• DocumentCode
    3078391
  • Title

    EVestG™: A diagnostic measure for schizophrenia

  • Author

    Haghgooie, Saman ; Lithgow, Brian J. ; Winograd-Gurvich, Caroline ; Kulkarni, Jayashri

  • Author_Institution
    Diagnostic and Neurosignal Processing Group at Monash University, Victoria, Australia
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    4142
  • Lastpage
    4145
  • Abstract
    Schizophrenia is a severe mental illness associated with multiple neuropathological, neurochemical and genetic abnormalities. The benefits of a validated, quantitative diagnosis tool are well established. Electrovestibulography, a new method similar to ECOG, can detect and record neural activity generated by the vestibular system. The normal EVestG response as well as dynamic measures averaged “background-onAA” (onAA=acceleration phase of tilt) and “background-onBB” (onBB=deceleration phase of tilt) of excitatory (ipsi-lateral tilt) vestibular responses are compared for a small group of schizophrenia patients (n=4) and age matched healthy controls (n=10). Our preliminary results show an apparent discrimination between control and schizophrenia groups. Schizophrenia patients appear not only to exhibit an overall decreased EVestG signal amplitude but a suppressed dynamic response calculated by the averaged EVestG “background-onBB” measure. Increased sample size is required to validate these findings.
  • Keywords
    Australia Council; Biomarkers; Brain; Current measurement; Diseases; Genetics; Mental disorders; Phase measurement; Psychiatry; Psychology; Adult; Algorithms; Brain; Case-Control Studies; Diagnosis, Computer-Assisted; Female; Humans; Male; Middle Aged; Motion; Prognosis; Reproducibility of Results; Schizophrenia; Time Factors; Vestibular Nuclei;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650121
  • Filename
    4650121