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Neural, computational and acoustic principles of auditory sensory processing sensitivity

Project description

Listening for SPS differences

Noise pollution is a major environmental health concern in Europe. The adverse effects of exposure to noise pollution includes ill health. Prolonged exposure has been linked to negative cardiovascular and metabolic effects, reduced cognitive performance in children and sleep disturbance. The EU-funded SensBrain project will focus on people who have sensory processing sensitivity (SPS), an increased sensitivity to the environment, which describes a continuum from hyper- to hyposensitivity profiles even in the healthy population. The research will shed light on the currently unknown underlying neural mechanisms. Combining methods from cognitive and computational neuroscience, acoustics and psychology, the findings will facilitate an objective assessment of SPS differences.

Objective

Hearing is an essential part of human life. We communicate through the voice, use sounds to navigate in the world and enjoy listening to music. On the other hand noise pollution in living and working environments causes serious health problems impacting millions of people and many neurological or psychiatric conditions are accompanied by sensory symptoms. The personality concept of Sensory Processing Sensitivity (SPS) describes a continuum from hyper- to hyposensitivity profiles even in the healthy population. However, the underlying neural mechanisms are unknown and an objective acoustic tool to assess auditory SPS is missing.
This groundbreaking, interdisciplinary action will adress this gap by combining methods from cognitive and computational neuroscience, acoustics and psychology. I will compute mathematical models to characterize auditory performance, unravel the biological imprint of SPS using neuroimaging, and ultimately provide the scientific community with a much-needed acoustic battery to assess SPS differences objectively. Predictive coding, a general theory of neural function inspired by research in artificial intelligence, machine learning, and systems neuroscience, will provide the theoretical framework for the computational models.
The interdisciplinary environment at the Center for Music in the Brain (MIB) at Aarhus University, has as its primary goal to investigate predictive coding of music. Therefore, it is the perfect location for this work and my training in psychology, auditory neurosciences and music make me the ideal person for this action. At MIB I will enhance my neuroscience (MEG), computational and programming skills. During a secondment at Oxford University I will extend the analyses to whole-brain approaches. Overall the action will foster my development as an indepent researcher capable of leading my own research group with groundbreaking potential for academia and industrial fields of application.

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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(opens in new window) H2020-MSCA-IF-2020

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Coordinator

AARHUS UNIVERSITET
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 207 312,00
Address
NORDRE RINGGADE 1
8000 Aarhus C
Denmark

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Region
Danmark Midtjylland Østjylland
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 207 312,00
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