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Application of multivariate statistics to vestibular testing: discriminating between Meniere's disease and migraine associated dizzinessMeniere's disease (MD) and migraine associated dizziness (MAD) are two disorders that can have similar symptomatologies, but differ vastly in treatment. Vestibular testing is sometimes used to help differentiate between these disorders, but the inefficiency of a human interpreter analyzing a multitude of variables independently decreases its utility. Our hypothesis was that we could objectively discriminate between patients with MD and those with MAD using select variables from the vestibular test battery. Sinusoidal harmonic acceleration test variables were reduced to three vestibulo-ocular reflex physiologic parameters: gain, time constant, and asymmetry. A combination of these parameters plus a measurement of reduced vestibular response from caloric testing allowed us to achieve a joint classification rate of 91%, independent quadratic classification algorithm. Data from posturography were not useful for this type of differentiation. Overall, our classification function can be used as an unbiased assistant to discriminate between MD and MAD and gave us insight into the pathophysiologic differences between the two disorders.
Document ID
20040088692
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Dimitri, P. S.
(Harvard University, Massachusetts Institute of Technology Division of Health Sciences and Technology Cambridge, United States)
Wall, C. 3rd
Oas, J. G.
Rauch, S. D.
Date Acquired
August 21, 2013
Publication Date
January 1, 2001
Publication Information
Publication: Journal of vestibular research : equilibrium & orientation
Volume: 11
Issue: 1
ISSN: 0957-4271
Subject Category
Life Sciences (General)
Funding Number(s)
CONTRACT_GRANT: DC03219
CONTRACT_GRANT: DC00290
Distribution Limits
Public
Copyright
Other
Keywords
NASA Discipline Neuroscience
Non-NASA Center
NASA Program Biomedical Research and Countermeasures

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