Evidence map›Paper›PMID 41387740›Full record

ArticleNPJ science of learning2025

Reading experience reveals shared and idiosyncratic neural patterns during text comprehension.

Ming Song, Luan Li, Danni He, Qing Cai

Abstract read
In one paragraph

Article in NPJ science of learning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ming Song *Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Luan Li *Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, Shanghai, China.
Danni HeShanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Qing CaiShanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China. qcai@psy.ecnu.edu.cn.

Funding

National Social Science Fund of China 23CYY040 to LLTechnological Innovation 2030 - the major project of the Brain Science and Brain-Inspired Intelligence Technology 2021ZD0200500
6 · The paper itself

Abstract

Language and reading experience foster interpersonal alignment in communication, yet their impact on shared and idiosyncratic neural patterns in language comprehension remains underexplored. In this study, we investigate how individual differences in reading experience influence neural similarity across readers. We used a topicalized Author Recognition Test to profile participants' reading experience across diverse topics and used an fMRI task to measure neural activity while participants read narrative and expository texts. We found that greater print exposure was associated with enhanced alignment with others in bilateral semantic regions during narrative reading. In contrast, during expository comprehension, higher print exposure was related to more idiosyncratic patterns in the frontoparietal control network (FPN). Inter-subject representational similarity analysis further revealed shared brain-behavior patterns between distributed reading experience and activities in the default mode network (DMN). These findings highlight how accumulative reading experience is related to both shared and individualized neural dynamics during language comprehension.

Identifiers

PMID41387740
PMCPMC12804784

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.