Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli Presentation

The question of the possible impact of deafness on temporal processing remains unanswered. Different findings, based on behavioral measures, show contradictory results. The goal of the present study is to analyze the brain activity underlying time estimation by using functional near infrared spectro...

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Main Authors: Sébastien Laurent, Laurence Paire-Ficout, Jean-Michel Boucheix, Stéphane Argon, Antonio R. Hidalgo-Muñoz
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Brain Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3425/11/2/196
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author Sébastien Laurent
Laurence Paire-Ficout
Jean-Michel Boucheix
Stéphane Argon
Antonio R. Hidalgo-Muñoz
author_facet Sébastien Laurent
Laurence Paire-Ficout
Jean-Michel Boucheix
Stéphane Argon
Antonio R. Hidalgo-Muñoz
author_sort Sébastien Laurent
collection DOAJ
description The question of the possible impact of deafness on temporal processing remains unanswered. Different findings, based on behavioral measures, show contradictory results. The goal of the present study is to analyze the brain activity underlying time estimation by using functional near infrared spectroscopy (fNIRS) techniques, which allow examination of the frontal, central and occipital cortical areas. A total of 37 participants (19 deaf) were recruited. The experimental task involved processing a road scene to determine whether the driver had time to safely execute a driving task, such as overtaking. The road scenes were presented in animated format, or in sequences of 3 static images showing the beginning, mid-point, and end of a situation. The latter presentation required a clocking mechanism to estimate the time between the samples to evaluate vehicle speed. The results show greater frontal region activity in deaf people, which suggests that more cognitive effort is needed to process these scenes. The central region, which is involved in clocking according to several studies, is particularly activated by the static presentation in deaf people during the estimation of time lapses. Exploration of the occipital region yielded no conclusive results. Our results on the frontal and central regions encourage further study of the neural basis of time processing and its links with auditory capacity.
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spelling doaj.art-3946656f807448b3ac8c297a35f294022023-12-03T12:35:30ZengMDPI AGBrain Sciences2076-34252021-02-0111219610.3390/brainsci11020196Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli PresentationSébastien Laurent0Laurence Paire-Ficout1Jean-Michel Boucheix2Stéphane Argon3Antonio R. Hidalgo-Muñoz4Laboratoire Ergonomie et Sciences Cognitives pour les Transports (LESCOT), University Gustave Eiffel, IFSTTAR, F-69675 Lyon, FranceLaboratoire Ergonomie et Sciences Cognitives pour les Transports (LESCOT), University Gustave Eiffel, IFSTTAR, F-69675 Lyon, FranceLaboratoire d’Etude de l’Apprentissage et du Développement, Centre National de Recherche Scientifique (LEAD-CNRS UMR 5022), University of Bourgogne Franche-Comté, F-21065 Dijon, FranceLaboratoire d’Etude de l’Apprentissage et du Développement, Centre National de Recherche Scientifique (LEAD-CNRS UMR 5022), University of Bourgogne Franche-Comté, F-21065 Dijon, FranceLaboratoire Cognition, Langues, Langage, Ergonomie, Centre National de Recherche Scientifique (CLLE-CNRS UMR 5263), University of Toulouse, 31000 Toulouse, FranceThe question of the possible impact of deafness on temporal processing remains unanswered. Different findings, based on behavioral measures, show contradictory results. The goal of the present study is to analyze the brain activity underlying time estimation by using functional near infrared spectroscopy (fNIRS) techniques, which allow examination of the frontal, central and occipital cortical areas. A total of 37 participants (19 deaf) were recruited. The experimental task involved processing a road scene to determine whether the driver had time to safely execute a driving task, such as overtaking. The road scenes were presented in animated format, or in sequences of 3 static images showing the beginning, mid-point, and end of a situation. The latter presentation required a clocking mechanism to estimate the time between the samples to evaluate vehicle speed. The results show greater frontal region activity in deaf people, which suggests that more cognitive effort is needed to process these scenes. The central region, which is involved in clocking according to several studies, is particularly activated by the static presentation in deaf people during the estimation of time lapses. Exploration of the occipital region yielded no conclusive results. Our results on the frontal and central regions encourage further study of the neural basis of time processing and its links with auditory capacity.https://www.mdpi.com/2076-3425/11/2/196clockingdeafnessanimationfNIRSmotion predictiontemporal skill
spellingShingle Sébastien Laurent
Laurence Paire-Ficout
Jean-Michel Boucheix
Stéphane Argon
Antonio R. Hidalgo-Muñoz
Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli Presentation
Brain Sciences
clocking
deafness
animation
fNIRS
motion prediction
temporal skill
title Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli Presentation
title_full Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli Presentation
title_fullStr Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli Presentation
title_full_unstemmed Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli Presentation
title_short Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli Presentation
title_sort cortical activity linked to clocking in deaf adults fnirs insights with static and animated stimuli presentation
topic clocking
deafness
animation
fNIRS
motion prediction
temporal skill
url https://www.mdpi.com/2076-3425/11/2/196
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