Lateralization-specific adaptation in auditory cortical evoked potentials: Comparison with frequency-specificity.

IF 2.7 4区 医学 Q3 NEUROSCIENCES
European Journal of Neuroscience Pub Date : 2025-01-01 Epub Date: 2024-12-16 DOI:10.1111/ejn.16644
Barkın İlhan, Saliha Kurt, Yavuz Bolay, Pekcan Ungan
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引用次数: 0

Abstract

'Opponent channels model' (OCM) is the widely accepted model for cortical representation of sound lateralization. Stimulus-specific 'release from adaptation' (RFA) in cortical responses has been used in previous studies to test the predictions of this model. However, these attempts were shown to be prone to confounds of spurious responses such as those to auditory motion and sound onset. The present study aims to determine whether a multiple-adaptor RFA algorithm could be employed for relatively confound-free quantification of the population response of lateralization-specific auditory cortical neurons, and provide useful data for estimation of the OCM hemifield tuning curves. Two experiments were conducted on 12 volunteers with normal hearing. In Exp.1, quadruple tone pips of either low or high frequency were presented as adaptor, followed by a single tone pip of either frequency as probe. In Exp.2, tone pips were replaced with dichotic click train pips with left-leading and right-leading interaural time difference (ITD). Frequency- and ITD-specific RFA in cortical responses N1 and P2 was quantified using global field magnitude difference between ERPs to mismatched and matched adaptor-probe pairs. RFA level measured was lower for ITD mismatch than frequency mismatch. Nonetheless, it allowed measurement of ITD-specific cortical neurons' population response, without any spurious response confound. We proposed a method for extraction of ITD-specific response magnitude from the N1 response to a lateralized sound. Using it, one can reliably measure the activity of lateralization-specific cortical neurons, i.e. elicited by moderate ITD changes. This allows estimation of hemifield tuning curves in OCM using ERP data.

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来源期刊
European Journal of Neuroscience
European Journal of Neuroscience 医学-神经科学
CiteScore
7.10
自引率
5.90%
发文量
305
审稿时长
3.5 months
期刊介绍: EJN is the journal of FENS and supports the international neuroscientific community by publishing original high quality research articles and reviews in all fields of neuroscience. In addition, to engage with issues that are of interest to the science community, we also publish Editorials, Meetings Reports and Neuro-Opinions on topics that are of current interest in the fields of neuroscience research and training in science. We have recently established a series of ‘Profiles of Women in Neuroscience’. Our goal is to provide a vehicle for publications that further the understanding of the structure and function of the nervous system in both health and disease and to provide a vehicle to engage the neuroscience community. As the official journal of FENS, profits from the journal are re-invested in the neuroscientific community through the activities of FENS.
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