title: Otoacoustic emissions at different click intensities: invariant and subject-dependent features.
abstract: A study of click-evoked otoacoustic emissions (CEOAEs) elicited at stimulation intensities from 35 to >80 dB was carried out by recurrence quantification analysis on signals from both normal and hearing-impaired subjects. In normal subjects, a clear scaling of determinism with increasing stimulation intensity was observed in the click intensity range from 41 to 59 dB. Outside that range and, in particular, above its upper end, subject-dependent features appeared in the form of different maximal levels of determinism. A comparative analysis of responses from hearing-impaired subjects with conductive hearing losses and sensorineural hearing losses suggested that the principal contributor to this behavior is the middle ear and allowed us to discriminate the two pathologies solely on the basis of CEOAEs. These observations are consistent with a simple phenomenological model of the auditory periphery in which different functional modules are sequentially recruited at increasing stimulus intensities, with a consequent rise in CEOAE coherence.
authors.affiliation: Department of Human Physiology and Pharmacology, University of Rome "La Sapienza", 00185 Roma, Italy.
authors.forename: Giovanna
authors.initials: G
authors.lastname: Zimatore
authors.forename: Alessandro
authors.initials: A
authors.lastname: Giuliani
authors.forename: Stavros
authors.initials: S
authors.lastname: Hatzopoulos
authors.forename: Alessandro
authors.initials: A
authors.lastname: Martini
authors.forename: Alfredo
authors.initials: A
authors.lastname: Colosimo
mesh_terms: D000161:Acoustic Stimulation; D000328:Adult; D000465:Algorithms; D003937:Diagnosis, Differential; D005072:Evoked Potentials, Auditory / Q000502:physiology*; D005260:Female; D005583:Fourier Analysis; D006314:Hearing Loss, Conductive / Q000175:diagnosis / Q000503:physiopathology; D006319:Hearing Loss, Sensorineural / Q000175:diagnosis / Q000503:physiopathology; D006801:Humans; D017711:Nonlinear Dynamics; D025341:Principal Component Analysis