Tracking selective attention in a musical cocktail
The cocktail party effect refers to mankind’s ability to focus attention on a single sound within a noisy environment. Using magnetoencephalography, we investigated this cognitive phenomenon by utilizing frequency-tagging to first precisely separate and identify individual neural responses (i.e. ASS...
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2021
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sg-ntu-dr.10356-1537142023-02-28T18:41:14Z Tracking selective attention in a musical cocktail Low, Cassia Man Ting Balázs Zoltán Gulyás School of Biological Sciences Karolinska Institutet balazs.gulyas@ntu.edu.sg Science::Medicine Science::Biological sciences The cocktail party effect refers to mankind’s ability to focus attention on a single sound within a noisy environment. Using magnetoencephalography, we investigated this cognitive phenomenon by utilizing frequency-tagging to first precisely separate and identify individual neural responses (i.e. ASSRs) according to their driving source from a mixture elicited by multiple stimuli. Participants directed attention to one out of a few musical streams as we examined how selective attention influences the corresponding ASSR. Distributed source analyses revealed that the ASSR enhancements from top-down and bottom-up attention were strongest at the frontal and temporal lobes respectively. Notably, we discovered that many characteristics of the ASSR, including its sensitivity to participants’ musicality, differed during and after auditory stimulation, and when the number of simultaneous streams increased. The ability to readily capture attentional modulation in a stimulus-precise manner makes the ASSR a useful tool for investigating selective attention and its interaction with individual factors such as musical training. Importantly, this work advances the study of human cognition towards more complex and naturalistic soundscapes using frequency-tagging. Doctor of Philosophy 2021-12-09T02:38:18Z 2021-12-09T02:38:18Z 2021 Thesis-Doctor of Philosophy Low, C. M. T. (2021). Tracking selective attention in a musical cocktail. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153714 https://hdl.handle.net/10356/153714 10.32657/10356/153714 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University |
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Science::Medicine Science::Biological sciences Low, Cassia Man Ting Tracking selective attention in a musical cocktail |
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The cocktail party effect refers to mankind’s ability to focus attention on a single sound within a noisy environment. Using magnetoencephalography, we investigated this cognitive phenomenon by utilizing frequency-tagging to first precisely separate and identify individual neural responses (i.e. ASSRs) according to their driving source from a mixture elicited by multiple stimuli. Participants directed attention to one out of a few musical streams as we examined how selective attention influences the corresponding ASSR. Distributed source analyses revealed that the ASSR enhancements from top-down and bottom-up attention were strongest at the frontal and temporal lobes respectively. Notably, we discovered that many characteristics of the ASSR, including its sensitivity to participants’ musicality, differed during and after auditory stimulation, and when the number of simultaneous streams increased. The ability to readily capture attentional modulation in a stimulus-precise manner makes the ASSR a useful tool for investigating selective attention and its interaction with individual factors such as musical training. Importantly, this work advances the study of human cognition towards more complex and naturalistic soundscapes using frequency-tagging. |
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Balázs Zoltán Gulyás |
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Balázs Zoltán Gulyás Low, Cassia Man Ting |
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Thesis-Doctor of Philosophy |
author |
Low, Cassia Man Ting |
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Low, Cassia Man Ting |
title |
Tracking selective attention in a musical cocktail |
title_short |
Tracking selective attention in a musical cocktail |
title_full |
Tracking selective attention in a musical cocktail |
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Tracking selective attention in a musical cocktail |
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Tracking selective attention in a musical cocktail |
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tracking selective attention in a musical cocktail |
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Nanyang Technological University |
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2021 |
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https://hdl.handle.net/10356/153714 |
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1759855699100172288 |