Measuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG

Abstract Arabic digits (1–9) are everywhere in our daily lives. These symbols convey various semantic information, and numerate adults can easily extract from them several numerical features such as magnitude and parity. Nonetheless, since most studies used active processing tasks to assess these pr...

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Autores principales:	Mathieu Guillaume, Alexandre Poncin, Christine Schiltz, Amandine Van Rinsveld
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/61639852d297432cbd79ff6e0bf7b554
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spelling	oai:doaj.org-article:61639852d297432cbd79ff6e0bf7b5542021-12-02T13:58:11ZMeasuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG10.1038/s41598-020-79404-w2045-2322https://doaj.org/article/61639852d297432cbd79ff6e0bf7b5542020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79404-whttps://doaj.org/toc/2045-2322Abstract Arabic digits (1–9) are everywhere in our daily lives. These symbols convey various semantic information, and numerate adults can easily extract from them several numerical features such as magnitude and parity. Nonetheless, since most studies used active processing tasks to assess these properties, it remains unclear whether and to what degree the access to magnitude and especially to parity is automatic. Here we investigated with EEG whether spontaneous processing of magnitude or parity can be recorded in a frequency-tagging approach, in which participants are passively stimulated by fast visual sequences of Arabic digits. We assessed automatic magnitude processing by presenting a stream of frequent small digit numbers mixed with deviant large digits (and the reverse) with a sinusoidal contrast modulation at the frequency of 10 Hz. We used the same paradigm to investigate numerical parity processing, contrasting odd digits to even digits. We found significant brain responses at the frequency of the fluctuating change and its harmonics, recorded on electrodes encompassing right occipitoparietal regions, in both conditions. Our findings indicate that both magnitude and parity are spontaneously and unintentionally extracted from Arabic digits, which supports that they are salient semantic features deeply associated to digit symbols in long-term memory.Mathieu GuillaumeAlexandre PoncinChristine SchiltzAmandine Van RinsveldNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mathieu Guillaume Alexandre Poncin Christine Schiltz Amandine Van Rinsveld Measuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG
description	Abstract Arabic digits (1–9) are everywhere in our daily lives. These symbols convey various semantic information, and numerate adults can easily extract from them several numerical features such as magnitude and parity. Nonetheless, since most studies used active processing tasks to assess these properties, it remains unclear whether and to what degree the access to magnitude and especially to parity is automatic. Here we investigated with EEG whether spontaneous processing of magnitude or parity can be recorded in a frequency-tagging approach, in which participants are passively stimulated by fast visual sequences of Arabic digits. We assessed automatic magnitude processing by presenting a stream of frequent small digit numbers mixed with deviant large digits (and the reverse) with a sinusoidal contrast modulation at the frequency of 10 Hz. We used the same paradigm to investigate numerical parity processing, contrasting odd digits to even digits. We found significant brain responses at the frequency of the fluctuating change and its harmonics, recorded on electrodes encompassing right occipitoparietal regions, in both conditions. Our findings indicate that both magnitude and parity are spontaneously and unintentionally extracted from Arabic digits, which supports that they are salient semantic features deeply associated to digit symbols in long-term memory.
format	article
author	Mathieu Guillaume Alexandre Poncin Christine Schiltz Amandine Van Rinsveld
author_facet	Mathieu Guillaume Alexandre Poncin Christine Schiltz Amandine Van Rinsveld
author_sort	Mathieu Guillaume
title	Measuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG
title_short	Measuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG
title_full	Measuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG
title_fullStr	Measuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG
title_full_unstemmed	Measuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG
title_sort	measuring spontaneous and automatic processing of magnitude and parity information of arabic digits by frequency-tagging eeg
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/61639852d297432cbd79ff6e0bf7b554
work_keys_str_mv	AT mathieuguillaume measuringspontaneousandautomaticprocessingofmagnitudeandparityinformationofarabicdigitsbyfrequencytaggingeeg AT alexandreponcin measuringspontaneousandautomaticprocessingofmagnitudeandparityinformationofarabicdigitsbyfrequencytaggingeeg AT christineschiltz measuringspontaneousandautomaticprocessingofmagnitudeandparityinformationofarabicdigitsbyfrequencytaggingeeg AT amandinevanrinsveld measuringspontaneousandautomaticprocessingofmagnitudeandparityinformationofarabicdigitsbyfrequencytaggingeeg
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Measuring spontaneous and automatic processing of magnitude and parity information of Arabic digits by frequency-tagging EEG

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