Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving

Abstract Driving a car requires high cognitive demands, from sustained attention to perception and action planning. Recent research investigated the neural processes reflecting the planning of driving actions, aiming to better understand the factors leading to driving errors and to devise methodolog...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Giovanni M. Di Liberto, Michele Barsotti, Giovanni Vecchiato, Jonas Ambeck-Madsen, Maria Del Vecchio, Pietro Avanzini, Luca Ascari
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b7e47f480297433ebec372b376623c96
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b7e47f480297433ebec372b376623c96
record_format	dspace
spelling	oai:doaj.org-article:b7e47f480297433ebec372b376623c962021-12-05T12:15:46ZRobust anticipation of continuous steering actions from electroencephalographic data during simulated driving10.1038/s41598-021-02750-w2045-2322https://doaj.org/article/b7e47f480297433ebec372b376623c962021-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02750-whttps://doaj.org/toc/2045-2322Abstract Driving a car requires high cognitive demands, from sustained attention to perception and action planning. Recent research investigated the neural processes reflecting the planning of driving actions, aiming to better understand the factors leading to driving errors and to devise methodologies to anticipate and prevent such errors by monitoring the driver’s cognitive state and intention. While such anticipation was shown for discrete driving actions, such as emergency braking, there is no evidence for robust neural signatures of continuous action planning. This study aims to fill this gap by investigating continuous steering actions during a driving task in a car simulator with multimodal recordings of behavioural and electroencephalography (EEG) signals. System identification is used to assess whether robust neurophysiological signatures emerge before steering actions. Linear decoding models are then used to determine whether such cortical signals can predict continuous steering actions with progressively longer anticipation. Results point to significant EEG signatures of continuous action planning. Such neural signals show consistent dynamics across participants for anticipations up to 1 s, while individual-subject neural activity could reliably decode steering actions and predict future actions for anticipations up to 1.8 s. Finally, we use canonical correlation analysis to attempt disentangling brain and non-brain contributors to the EEG-based decoding. Our results suggest that low-frequency cortical dynamics are involved in the planning of steering actions and that EEG is sensitive to that neural activity. As a result, we propose a framework to investigate anticipatory neural activity in realistic continuous motor tasks.Giovanni M. Di LibertoMichele BarsottiGiovanni VecchiatoJonas Ambeck-MadsenMaria Del VecchioPietro AvanziniLuca AscariNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Giovanni M. Di Liberto Michele Barsotti Giovanni Vecchiato Jonas Ambeck-Madsen Maria Del Vecchio Pietro Avanzini Luca Ascari Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
description	Abstract Driving a car requires high cognitive demands, from sustained attention to perception and action planning. Recent research investigated the neural processes reflecting the planning of driving actions, aiming to better understand the factors leading to driving errors and to devise methodologies to anticipate and prevent such errors by monitoring the driver’s cognitive state and intention. While such anticipation was shown for discrete driving actions, such as emergency braking, there is no evidence for robust neural signatures of continuous action planning. This study aims to fill this gap by investigating continuous steering actions during a driving task in a car simulator with multimodal recordings of behavioural and electroencephalography (EEG) signals. System identification is used to assess whether robust neurophysiological signatures emerge before steering actions. Linear decoding models are then used to determine whether such cortical signals can predict continuous steering actions with progressively longer anticipation. Results point to significant EEG signatures of continuous action planning. Such neural signals show consistent dynamics across participants for anticipations up to 1 s, while individual-subject neural activity could reliably decode steering actions and predict future actions for anticipations up to 1.8 s. Finally, we use canonical correlation analysis to attempt disentangling brain and non-brain contributors to the EEG-based decoding. Our results suggest that low-frequency cortical dynamics are involved in the planning of steering actions and that EEG is sensitive to that neural activity. As a result, we propose a framework to investigate anticipatory neural activity in realistic continuous motor tasks.
format	article
author	Giovanni M. Di Liberto Michele Barsotti Giovanni Vecchiato Jonas Ambeck-Madsen Maria Del Vecchio Pietro Avanzini Luca Ascari
author_facet	Giovanni M. Di Liberto Michele Barsotti Giovanni Vecchiato Jonas Ambeck-Madsen Maria Del Vecchio Pietro Avanzini Luca Ascari
author_sort	Giovanni M. Di Liberto
title	Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
title_short	Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
title_full	Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
title_fullStr	Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
title_full_unstemmed	Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
title_sort	robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b7e47f480297433ebec372b376623c96
work_keys_str_mv	AT giovannimdiliberto robustanticipationofcontinuoussteeringactionsfromelectroencephalographicdataduringsimulateddriving AT michelebarsotti robustanticipationofcontinuoussteeringactionsfromelectroencephalographicdataduringsimulateddriving AT giovannivecchiato robustanticipationofcontinuoussteeringactionsfromelectroencephalographicdataduringsimulateddriving AT jonasambeckmadsen robustanticipationofcontinuoussteeringactionsfromelectroencephalographicdataduringsimulateddriving AT mariadelvecchio robustanticipationofcontinuoussteeringactionsfromelectroencephalographicdataduringsimulateddriving AT pietroavanzini robustanticipationofcontinuoussteeringactionsfromelectroencephalographicdataduringsimulateddriving AT lucaascari robustanticipationofcontinuoussteeringactionsfromelectroencephalographicdataduringsimulateddriving
_version_	1718372098193227776

Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving

Ejemplares similares