Evidence map›Paper›PMID 39805886›Full record

ArticleScientific reports2025

Coregistration of eye movements and EEG reveals frequency effects of words and their constituent characters in natural silent Chinese reading.

Taishen Zeng, Longxia Lou, Zhi-Fang Liu, Chaoyang Chen, Zhijun Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. An Eye-Tracking Study on the Interword Spacing Effect in Arabic.Journal of psycholinguistic research · 2026
    Article
  2. Article
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

5 authors.

Taishen ZengDepartment of Psychology, Hangzhou Normal University, 2318 Yuhangtang Road, Hangzhou City, 311121, Zhejiang Province, China.
Longxia LouDepartment of Psychology, Hangzhou Normal University, 2318 Yuhangtang Road, Hangzhou City, 311121, Zhejiang Province, China.
Zhi-Fang LiuDepartment of Psychology, Hangzhou Normal University, 2318 Yuhangtang Road, Hangzhou City, 311121, Zhejiang Province, China. lzhf2008@163.com.
Chaoyang ChenDepartment of Psychology, Ningbo University, Ningbo, 315211, China.
Zhijun ZhangDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310058, China.

Funding

Zhejiang Provincial Social Science Grant 23NDJC269YB
6 · The paper itself

Abstract

We conducted two experiments to examine the lexical and sub-lexical processing of Chinese two-character words in reading. We used a co-registration electroencephalogram (EEG) for the first fixation on target words. In Experiment 1, whole-word occurrence frequency and initial constituent character frequency were orthogonally manipulated, while in Experiment 2, whole-word occurrence frequency and end constituent character frequency were orthogonally manipulated. Results showed that word frequency facilitated eye-tracking measures, while initial and end character frequencies inhibited them. Classical word frequency effects on N170 and N400 in the posterior region and reversed word frequency effects over the anterior region were consistently observed in both experiments. Experiment 1 revealed an inhibiting effect of initial character frequency on anterior N170. In Experiment 2, interaction between end-character frequency and word frequency showed reliable effects on anterior N170 and N400. These results demonstrate both facilitating and inhibiting word frequency effects, along with inhibiting effects of character frequency and that word frequency moderates the inhibiting effects of end constituent character frequency during natural silent Chinese reading.

Indexed as

East Asian PeopleElectroencephalographyEye MovementsReadingAdultChinaEvoked PotentialsFemaleHumansLanguageMaleYoung AdultCharacter frequency effectsChinese readingFixation-related potentialWord frequency effects

Identifiers

PMID39805886
PMCPMC11730336

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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.