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Cortical auditory distance representation based on direct-to-reverberant energy ratio

Auditory distance perception and its neuronal mechanisms are poorly understood, mainly because 1) it is difficult to separate distance processing from intensity processing, 2) multiple intensity-independent distance cues are often available, and 3) the cues are combined in a context-dependent way. A...

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Autores principales: Kopco, Norbert, Doreswamy, Keerthi Kumar, Huang, Samantha, Rossi, Stephanie, Ahveninen, Jyrki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997045/
https://www.ncbi.nlm.nih.gov/pubmed/31809885
http://dx.doi.org/10.1016/j.neuroimage.2019.116436
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author Kopco, Norbert
Doreswamy, Keerthi Kumar
Huang, Samantha
Rossi, Stephanie
Ahveninen, Jyrki
author_facet Kopco, Norbert
Doreswamy, Keerthi Kumar
Huang, Samantha
Rossi, Stephanie
Ahveninen, Jyrki
author_sort Kopco, Norbert
collection PubMed
description Auditory distance perception and its neuronal mechanisms are poorly understood, mainly because 1) it is difficult to separate distance processing from intensity processing, 2) multiple intensity-independent distance cues are often available, and 3) the cues are combined in a context-dependent way. A recent fMRI study identified human auditory cortical area representing intensity-independent distance for sources presented along the interaural axis (Kopco et al. PNAS, 109, 11019-11024). For these sources, two intensity-independent cues are available, interaural level difference (ILD) and direct-to-reverberant energy ratio (DRR). Thus, the observed activations may have been contributed by not only distance-related, but also direction-encoding neuron populations sensitive to ILD. Here, the paradigm from the previous study was used to examine DRR-based distance representation for sounds originating in front of the listener, where ILD is not available. In a virtual environment, we performed behavioral and fMRI experiments, combined with computational analyses to identify the neural representation of distance based on DRR. The stimuli varied in distance (15–100 cm) while their received intensity was varied randomly and independently of distance. Behavioral performance showed that intensity-independent distance discrimination is accurate for frontal stimuli, even though it is worse than for lateral stimuli. fMRI activations for sounds varying in frontal distance, as compared to varying only in intensity, increased bilaterally in the posterior banks of Heschl’s gyri, the planum temporale, and posterior superior temporal gyrus regions. Taken together, these results suggest that posterior human auditory cortex areas contain neuron populations that are sensitive to distance independent of intensity and of binaural cues relevant for directional hearing.
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spelling pubmed-69970452020-03-01 Cortical auditory distance representation based on direct-to-reverberant energy ratio Kopco, Norbert Doreswamy, Keerthi Kumar Huang, Samantha Rossi, Stephanie Ahveninen, Jyrki Neuroimage Article Auditory distance perception and its neuronal mechanisms are poorly understood, mainly because 1) it is difficult to separate distance processing from intensity processing, 2) multiple intensity-independent distance cues are often available, and 3) the cues are combined in a context-dependent way. A recent fMRI study identified human auditory cortical area representing intensity-independent distance for sources presented along the interaural axis (Kopco et al. PNAS, 109, 11019-11024). For these sources, two intensity-independent cues are available, interaural level difference (ILD) and direct-to-reverberant energy ratio (DRR). Thus, the observed activations may have been contributed by not only distance-related, but also direction-encoding neuron populations sensitive to ILD. Here, the paradigm from the previous study was used to examine DRR-based distance representation for sounds originating in front of the listener, where ILD is not available. In a virtual environment, we performed behavioral and fMRI experiments, combined with computational analyses to identify the neural representation of distance based on DRR. The stimuli varied in distance (15–100 cm) while their received intensity was varied randomly and independently of distance. Behavioral performance showed that intensity-independent distance discrimination is accurate for frontal stimuli, even though it is worse than for lateral stimuli. fMRI activations for sounds varying in frontal distance, as compared to varying only in intensity, increased bilaterally in the posterior banks of Heschl’s gyri, the planum temporale, and posterior superior temporal gyrus regions. Taken together, these results suggest that posterior human auditory cortex areas contain neuron populations that are sensitive to distance independent of intensity and of binaural cues relevant for directional hearing. 2019-12-03 2020-03 /pmc/articles/PMC6997045/ /pubmed/31809885 http://dx.doi.org/10.1016/j.neuroimage.2019.116436 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Kopco, Norbert
Doreswamy, Keerthi Kumar
Huang, Samantha
Rossi, Stephanie
Ahveninen, Jyrki
Cortical auditory distance representation based on direct-to-reverberant energy ratio
title Cortical auditory distance representation based on direct-to-reverberant energy ratio
title_full Cortical auditory distance representation based on direct-to-reverberant energy ratio
title_fullStr Cortical auditory distance representation based on direct-to-reverberant energy ratio
title_full_unstemmed Cortical auditory distance representation based on direct-to-reverberant energy ratio
title_short Cortical auditory distance representation based on direct-to-reverberant energy ratio
title_sort cortical auditory distance representation based on direct-to-reverberant energy ratio
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997045/
https://www.ncbi.nlm.nih.gov/pubmed/31809885
http://dx.doi.org/10.1016/j.neuroimage.2019.116436
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