Electrophysiological correlates of symbolic numerical order processing.

Determining if a sequence of numbers is ordered or not is one of the fundamental aspects of numerical processing linked to concurrent and future arithmetic skills. While some studies have explored the neural underpinnings of order processing using functional magnetic resonance imaging, our understan...

Full description

Bibliographic Details
Main Authors: Clemens Brunner, Philip Schadenbauer, Nele Schröder, Roland H Grabner, Stephan E Vogel
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0301228
_version_ 1827307796580794368
author Clemens Brunner
Philip Schadenbauer
Nele Schröder
Roland H Grabner
Stephan E Vogel
author_facet Clemens Brunner
Philip Schadenbauer
Nele Schröder
Roland H Grabner
Stephan E Vogel
author_sort Clemens Brunner
collection DOAJ
description Determining if a sequence of numbers is ordered or not is one of the fundamental aspects of numerical processing linked to concurrent and future arithmetic skills. While some studies have explored the neural underpinnings of order processing using functional magnetic resonance imaging, our understanding of electrophysiological correlates is comparatively limited. To address this gap, we used a three-item symbolic numerical order verification task (with Arabic numerals from 1 to 9) to study event-related potentials (ERPs) in 73 adult participants in an exploratory approach. We presented three-item sequences and manipulated their order (ordered vs. unordered) as well as their inter-item numerical distance (one vs. two). Participants had to determine if a presented sequence was ordered or not. They also completed a speeded arithmetic fluency test, which measured their arithmetic skills. Our results revealed a significant mean amplitude difference in the grand average ERP waveform between ordered and unordered sequences in a time window of 500-750 ms at left anterior-frontal, left parietal, and central electrodes. We also identified distance-related amplitude differences for both ordered and unordered sequences. While unordered sequences showed an effect in the time window of 500-750 ms at electrode clusters around anterior-frontal and right-frontal regions, ordered sequences differed in an earlier time window (190-275 ms) in frontal and right parieto-occipital regions. Only the mean amplitude difference between ordered and unordered sequences showed an association with arithmetic fluency at the left anterior-frontal electrode. While the earlier time window for ordered sequences is consistent with a more automated and efficient processing of ordered sequential items, distance-related differences in unordered sequences occur later in time.
first_indexed 2024-04-24T18:45:38Z
format Article
id doaj.art-b93bf516821e404daf28d00326bc141a
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-04-24T18:45:38Z
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-b93bf516821e404daf28d00326bc141a2024-03-27T05:32:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01193e030122810.1371/journal.pone.0301228Electrophysiological correlates of symbolic numerical order processing.Clemens BrunnerPhilip SchadenbauerNele SchröderRoland H GrabnerStephan E VogelDetermining if a sequence of numbers is ordered or not is one of the fundamental aspects of numerical processing linked to concurrent and future arithmetic skills. While some studies have explored the neural underpinnings of order processing using functional magnetic resonance imaging, our understanding of electrophysiological correlates is comparatively limited. To address this gap, we used a three-item symbolic numerical order verification task (with Arabic numerals from 1 to 9) to study event-related potentials (ERPs) in 73 adult participants in an exploratory approach. We presented three-item sequences and manipulated their order (ordered vs. unordered) as well as their inter-item numerical distance (one vs. two). Participants had to determine if a presented sequence was ordered or not. They also completed a speeded arithmetic fluency test, which measured their arithmetic skills. Our results revealed a significant mean amplitude difference in the grand average ERP waveform between ordered and unordered sequences in a time window of 500-750 ms at left anterior-frontal, left parietal, and central electrodes. We also identified distance-related amplitude differences for both ordered and unordered sequences. While unordered sequences showed an effect in the time window of 500-750 ms at electrode clusters around anterior-frontal and right-frontal regions, ordered sequences differed in an earlier time window (190-275 ms) in frontal and right parieto-occipital regions. Only the mean amplitude difference between ordered and unordered sequences showed an association with arithmetic fluency at the left anterior-frontal electrode. While the earlier time window for ordered sequences is consistent with a more automated and efficient processing of ordered sequential items, distance-related differences in unordered sequences occur later in time.https://doi.org/10.1371/journal.pone.0301228
spellingShingle Clemens Brunner
Philip Schadenbauer
Nele Schröder
Roland H Grabner
Stephan E Vogel
Electrophysiological correlates of symbolic numerical order processing.
PLoS ONE
title Electrophysiological correlates of symbolic numerical order processing.
title_full Electrophysiological correlates of symbolic numerical order processing.
title_fullStr Electrophysiological correlates of symbolic numerical order processing.
title_full_unstemmed Electrophysiological correlates of symbolic numerical order processing.
title_short Electrophysiological correlates of symbolic numerical order processing.
title_sort electrophysiological correlates of symbolic numerical order processing
url https://doi.org/10.1371/journal.pone.0301228
work_keys_str_mv AT clemensbrunner electrophysiologicalcorrelatesofsymbolicnumericalorderprocessing
AT philipschadenbauer electrophysiologicalcorrelatesofsymbolicnumericalorderprocessing
AT neleschroder electrophysiologicalcorrelatesofsymbolicnumericalorderprocessing
AT rolandhgrabner electrophysiologicalcorrelatesofsymbolicnumericalorderprocessing
AT stephanevogel electrophysiologicalcorrelatesofsymbolicnumericalorderprocessing