Evidence map›Paper›PMID 37229145›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2023

Spatiotemporal Dynamics of Activation in Motor and Language Areas Suggest a Compensatory Role of the Motor Cortex in Second Language Processing.

Lili Tian, Hongjun Chen, Pyry Petteri Heikkinen, Wenya Liu, Tiina Parviainen

Open access · goldAbstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Network-oriented neurorehabilitation after stroke: a paradigmatic approach.Journal of neuroengineering and rehabilitation · 2026
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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

5 authors at 3 institutions in 2 countries.

Lili TianDepartment of Psychology, University of Jyväskylä, Jyväskylä, Finland.ORCID https://orcid.org/0000-0002-6291-8656
Hongjun ChenSchool of Foreign Languages, Dalian University of Technology, Dalian, China.ORCID https://orcid.org/0000-0001-6926-6403
Pyry Petteri HeikkinenDepartment of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0003-4803-0041
Wenya LiuFaculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland.ORCID https://orcid.org/0000-0003-1051-7751
Tiina ParviainenDepartment of Psychology, University of Jyväskylä, Jyväskylä, Finland.ORCID https://orcid.org/0000-0001-6992-5157
Dalian University of Foreign Languages · CNUniversity of Jyväskylä · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The involvement of the motor cortex in language understanding has been intensively discussed in the framework of embodied cognition. Although some studies have provided evidence for the involvement of the motor cortex in different receptive language tasks, the role that it plays in language perception and understanding is still unclear. In the present study, we explored the degree of involvement of language and motor areas in a visually presented sentence comprehension task, modulated by language proficiency (L1: native language, L2: second language) and linguistic abstractness (literal, metaphorical, and abstract). Magnetoencephalography data were recorded from 26 late Chinese learners of English. A cluster-based permutation

Indexed as

abstractnesslanguage proficiencymagnetoencephalographymotor cortex involvementnative languagesecond language

Identifiers

PMID37229145
PMCPMC10205076
OpenAlexW4309329296

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.