Evidence map›Paper›PMID 38919064›Full record

ArticleProceedings. Biological sciences2024

Identifying conceptual neural responses to symbolic numerals.

Talia L Retter, Lucas Eraßmy, Christine Schiltz

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Talia L RetterDepartment of Behavioural and Cognitive Sciences, Institute of Cognitive Science & Assessment, University of Luxembourg , Esch-sur-Alzette, Luxembourg.ORCID 0000-0001-6143-0811
Lucas EraßmyDepartment of Behavioural and Cognitive Sciences, Institute of Cognitive Science & Assessment, University of Luxembourg , Esch-sur-Alzette, Luxembourg.
Christine SchiltzDepartment of Behavioural and Cognitive Sciences, Institute of Cognitive Science & Assessment, University of Luxembourg , Esch-sur-Alzette, Luxembourg.ORCID 0000-0002-1055-3878

Funding

Fonds National de la Recherche Luxembourg
6 · The paper itself

Abstract

The goal of measuring conceptual processing in numerical cognition is distanced by the possibility that neural responses to symbolic numerals are influenced by physical stimulus confounds. Here, we targeted conceptual responses to parity (even versus odd), using electroencephalogram (EEG) frequency-tagging with a symmetry/asymmetry design. Arabic numerals (2-9) were presented at 7.5 Hz in 50 s sequences; odd and even numbers were alternated to target differential, 'asymmetry' responses to parity at 3.75 Hz (7.5 Hz/2). Parity responses were probed with four different stimulus sets, increasing in intra-numeral stimulus variability, and with two control conditions composed of non-conceptual numeral alternations. Significant asymmetry responses were found over the occipitotemporal cortex to all conditions, even for the arbitrary controls. The large physical-differences control condition elicited the largest response in the stimulus set with the lowest variability (one font). Only in the stimulus set with the highest variability (20 drawn, coloured exemplars/numeral) did the response to parity surpass both control conditions. These findings show that physical differences across small sets of Arabic numerals can strongly influence, and even account for, automatic brain responses. However, carefully designed control conditions and highly variable stimulus sets may be used towards identifying truly conceptual neural responses.

Indexed as

CognitionElectroencephalographyAdultBrainFemaleHumansMaleMathematicsPhotic StimulationYoung AdultArabic numeralselectroencephalogram (EEG)frequency-tagginghuman visionnumerical cognitionparity

Identifiers

PMID38919064
PMCPMC11285737

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.