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Individual similarities and differences in eye-movement-related eardrum oscillations (EMREOs).

Cynthia D KingStephanie N LovichDavid L K MurphyRachel LandrumDavid KaylieChristopher A SheraJennifer M Groh
Published in: bioRxiv : the preprint server for biology (2023)
A unique type of low-frequency otoacoustic emission (OAE) time-locked to the onset (and offset) of saccadic eye movements was recently discovered in our laboratory (Gruters et al., 2018). The specific underlying mechanisms that generate these eye-movement-related eardrum oscillations (termed EMREOs) and their possible role in auditory perception are unknown. Clues to both the drivers of EMREOs and their purpose can be gleaned by examining responses in normal hearing human subjects. Do EMREOs occur in all individuals with normal hearing? If so, what components of the response occur most consistently? Understanding which attributes of EMREOs are similar across participants and which show more variability will provide the groundwork for future comparisons with individuals with hearing abnormalities affecting the ear's various motor components. Here we report that in subjects with normal hearing thresholds and normal middle ear function, all ears show (a) measurable EMREOs, (b) a phase reversal for contra-versus ipsilaterally-directed saccades, (c) a large peak in the signal occurring soon after saccade onset, (d) an additional large peak time-locked to saccade offset and (e) evidence that saccade duration is encoded in the signal. We interpret the attributes of EMREOs that are most consistent across subjects as the ones that are most likely to play an essential role in their function. The individual differences likely reflect normal variation in individuals' auditory system anatomy and physiology, much like traditional measures of auditory function such as auditory-evoked OAEs, tympanometry and auditory-evoked potentials. Future work will compare subjects with different types of auditory dysfunction to population data from normal hearing subjects.
Keyphrases
  • hearing loss
  • working memory
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  • oxidative stress
  • deep learning