EVestG™: A diagnostic measure for schizophrenia

Saman Haghgooie; Brian John Lithgow; Caroline Gurvich; Jayashri Kulkarni

doi:10.1109/IEMBS.2008.4650121

EVestG™: A diagnostic measure for schizophrenia

Saman Haghgooie, Brian John Lithgow, Caroline Gurvich, Jayashri Kulkarni

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Personalised Healthcare through Technology
Editors	Paolo Vicini, Jose Principe
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	4142-4145
Number of pages	4
ISBN (Print)	9781424418152
DOIs	https://doi.org/10.1109/IEMBS.2008.4650121
Publication status	Published - 1 Dec 2008
Event	International Conference of the IEEE Engineering in Medicine and Biology Society 2008 - Vancouver Convention and Exhibition Centre, Vancouver, Canada Duration: 20 Aug 2008 → 25 Aug 2008 Conference number: 30th https://ieeexplore.ieee.org/xpl/conhome/4636107/proceeding (Proceedings)

Conference

Conference	International Conference of the IEEE Engineering in Medicine and Biology Society 2008
Abbreviated title	EMBC 2008
Country/Territory	Canada
City	Vancouver
Period	20/08/08 → 25/08/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4636107/proceeding (Proceedings)

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10.1109/IEMBS.2008.4650121

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Haghgooie, S., Lithgow, B. J., Gurvich, C., & Kulkarni, J. (2008). EVestG™: A diagnostic measure for schizophrenia. In P. Vicini, & J. Principe (Eds.), Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Personalised Healthcare through Technology (pp. 4142-4145). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEMBS.2008.4650121

Haghgooie, Saman ; Lithgow, Brian John ; Gurvich, Caroline et al. / EVestG™ : A diagnostic measure for schizophrenia. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Personalised Healthcare through Technology. editor / Paolo Vicini ; Jose Principe. USA : IEEE, Institute of Electrical and Electronics Engineers, 2008. pp. 4142-4145

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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.",

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Haghgooie, S, Lithgow, BJ , Gurvich, C & Kulkarni, J 2008, EVestG™: A diagnostic measure for schizophrenia. in P Vicini & J Principe (eds), Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Personalised Healthcare through Technology. IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 4142-4145, International Conference of the IEEE Engineering in Medicine and Biology Society 2008, Vancouver, British Columbia, Canada, 20/08/08. https://doi.org/10.1109/IEMBS.2008.4650121

EVestG™: A diagnostic measure for schizophrenia. / Haghgooie, Saman; Lithgow, Brian John ; Gurvich, Caroline et al.
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Personalised Healthcare through Technology. ed. / Paolo Vicini; Jose Principe. USA: IEEE, Institute of Electrical and Electronics Engineers, 2008. p. 4142-4145.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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Haghgooie S, Lithgow BJ , Gurvich C , Kulkarni J. EVestG™: A diagnostic measure for schizophrenia. In Vicini P, Principe J, editors, Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Personalised Healthcare through Technology. USA: IEEE, Institute of Electrical and Electronics Engineers. 2008. p. 4142-4145 doi: 10.1109/IEMBS.2008.4650121

EVestG™: A diagnostic measure for schizophrenia

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