The impact of temporal synchronisation imprecision on TRF analyses
Article
Carta, S., Mangiacotti, A., Lopez Valdez, A., Reilly, R., Franco, F. and Di Liberto, G. 2023. The impact of temporal synchronisation imprecision on TRF analyses. Journal of Neuroscience Methods. 385. https://doi.org/10.1016/j.jneumeth.2022.109765
Type | Article |
---|---|
Title | The impact of temporal synchronisation imprecision on TRF analyses |
Authors | Carta, S., Mangiacotti, A., Lopez Valdez, A., Reilly, R., Franco, F. and Di Liberto, G. |
Abstract | Human sensory perception requires our brains to extract, encode, and process multiple properties of the sensory input. In the context of continuous sensory signals, such as speech and music, the measured electrical neural activity synchronises to properties such as the acoustic envelope, a phenomenon referred to as neural tracking. The ability of measuring neural tracking with non-invasive neurophysiology constitutes an exciting new opportunity for applied research. For example, it enables the objective assessment of cognitive functions in challenging cohorts and environments by using pleasant, everyday tasks, such as watching videos. However, neural tracking has been mostly studied in controlled, laboratory environments guaranteeing precise synchronisation between the neural signal and the corresponding labels (e.g., speech envelope). There exist various challenges that could impact such a temporal precision in, for instance, out-of-lab scenarios, such as technology (e.g., wireless data acquisition), mobility requirements (e.g., clinical scenarios), and the task (e.g., imagery). Aiming to address this type of challenge, we focus on the predominant scenario of continuous sensory experiments involving listening to speech and music. First a temporal response function analysis is presented on two different datasets to assess the impact of trigger imprecision. Second, a proof-of-concept re-alignment methodology is proposed to determine potential issues with the temporal synchronisation. Finally, a use-case study is presented that demonstrates neural tracking measurements in a challenging scenario involving older individuals with neurocognitive decline in care homes. |
Keywords | EEG, Auditory perception, Temporal response function, Signal processing, Speech, Music, Imagery |
Sustainable Development Goals | 3 Good health and well-being |
Middlesex University Theme | Health & Wellbeing |
Research Group | Language, Learning and Cognition group |
Publisher | Elsevier |
Journal | Journal of Neuroscience Methods |
ISSN | 0165-0270 |
Publication dates | |
Online | 05 Dec 2022 |
01 Feb 2023 | |
Publication process dates | |
Deposited | 19 Dec 2022 |
Submitted | 22 Jul 2022 |
Accepted | 02 Dec 2022 |
Output status | Published |
Publisher's version | License |
Copyright Statement | © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jneumeth.2022.109765 |
Language | English |
https://repository.mdx.ac.uk/item/8q334
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