Evidence map›Paper›PMID 40458888›Full record

ArticlePsychophysiology2025

Semantic Processing of Arabic Numbers Across Tasks.

Will Deng, Danielle S Dickson, Kara D Federmeier

Abstract read
In one paragraph

Article in Psychophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Will DengDepartment of Psychology, University of Illinois, Champaign, Illinois, United States.ORCID 0009-0009-1120-9487
Danielle S DicksonDepartment of Psychology, University of Illinois, Champaign, Illinois, United States.ORCID 0000-0002-7565-9999
Kara D FedermeierDepartment of Psychology, University of Illinois, Champaign, Illinois, United States.ORCID 0000-0002-7815-1808

Funding

Sandia National Laboratories DOE SNL 2533474
6 · The paper itself

Abstract

Numbers are used in a variety of ways and in different contexts-as labels, markers of ordinality, or indicators of quantity, in addresses and phone numbers and in mathematical equations. This raises the question of whether knowledge access from numbers involves similar or distinct mechanisms across these uses and how it compares to accessing knowledge from words and pictures. To investigate this, we presented double-digit numbers in three tasks designed to target different types of information: a matching task requiring access only to number form, a divisor task situating numbers in the context of basic arithmetic, and a quantifier task using numbers to represent everyday quantities. We measured event-related potentials (ERPs), focusing on the N400 component, which has been linked to access from long-term semantic memory, and looking at the impact of repetition as an implicit probe of facilitated knowledge retrieval. Our results revealed reliable N400 repetition effects for numbers across all tasks, suggesting that numbers are linked to associated representations of numerosity in a relatively automatic manner, using similar mechanisms as the access of semantics from words and pictures. However, consistent with claims that representations of numerosity involve different brain networks compared to general semantics, the scalp distribution of the N400 repetition effect for numbers, which was consistent across our three tasks, differed from that to words in the present experiment and from that observed in prior work using numbers to access general semantics.

Indexed as

BrainEvoked PotentialsMathematical ConceptsSemanticsAdultElectroencephalographyFemaleHumansMaleYoung AdultERPsknowledge accessN400numerical cognition

Identifiers

PMID40458888
PMCPMC12131122

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.