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Detecting changes in distortion product otoacoustic emission maps using statistical parametric mapping and random
A P Anderson1, K B Covington1, C C Rieke2
1Smead Department of Aerospace Engineering Sciences, University of Colorado-Boulder, Boulder, Colorado 80303, USA.
The Journal of the Acoustical Society of America
|June 4, 2020
Summary
Distortion product otoacoustic emission (DPOAE) mapping shows potential for non-invasive intracranial pressure (ICP) monitoring. Postural changes significantly altered DPOAE maps, especially in prone positions, indicating sensitivity to physiological shifts.
Area of Science:
- Otoacoustic Emissions
- Neuroscience
- Space Physiology
Background:
- Distortion product otoacoustic emissions (DPOAE) offer a non-invasive method for physiological monitoring.
- Intracranial pressure (ICP) monitoring is crucial, especially in microgravity environments, but current methods are invasive.
- DPOAE mapping provides a comprehensive dataset of otoacoustic emissions across frequencies and ratios.
Purpose of the Study:
- To assess the feasibility of using DPOAE mapping for non-invasive ICP monitoring.
- To statistically analyze changes in DPOAE maps under different postural conditions.
- To establish the normal variability of DPOAE data for future clinical applications.
Main Methods:
- Two experiments were conducted: a repeatability study over four weeks and a posture study.
- Subjects underwent measurements in supine and prone positions with varying pressure conditions (lower body negative/positive pressure, atmospheric).
- DPOAE amplitude maps were analyzed using statistical parametric mapping and random field theory.
Main Results:
- Postural changes induced significant regional alterations in DPOAE maps, particularly between 5-7.5 kHz and primary tone ratios of 1.13-1.24.
- The prone lower body positive pressure (LBPP) condition showed the most pronounced amplitude decreases compared to baseline.
- The Postural Cohort exhibited greater changes than the Repeatability Cohort, indicating sensitivity to physiological shifts.
Conclusions:
- Statistical parametric mapping is a sensitive tool for detecting regional changes in DPOAE maps.
- DPOAE mapping shows promise for non-invasive ICP monitoring in clinical and research settings.
- These findings support the potential of DPOAEs in monitoring physiological changes, including ICP, in diverse environments.
