Evidence map›Paper›PMID 42099429›Full record

ArticleFrontiers in language sciences2026

Co-Registration of EEG and Eye-Tracking in Psycholinguistics and Bilingualism Research.

Cristina López-Rojas, Concepción Soto, Ashley Chung-Fat-Yim, Viorica Marian

Abstract read
In one paragraph

Article in Frontiers in language sciences, 2026. 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

4 authors.

Cristina López-RojasMind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain.
Concepción SotoNorthwestern University, Department of Communication Sciences and Disorders, Evanston, IL, USA.
Ashley Chung-Fat-YimUniversity of Manitoba, Department of Psychology, Winnipeg, MB, Canada.
Viorica MarianNorthwestern University, Department of Communication Sciences and Disorders, Evanston, IL, USA.

Funding

Cognitive Architecture of Bilingual Language ProcessingR01HD059858 · NICHD · NORTHWESTERN UNIVERSITY · PI Viorica Marian · 2010 to 2026
$6.2M
NICHD NIH HHS R01 HD059858
6 · The paper itself

Abstract

Eye-tracking and electroencephalogram (EEG) recordings provide a window into the human mind. Combining both methods through co-registration offers a powerful and innovative approach for examining how cognitive and neural processes unfold in real time. While both EEG and eye-tracking have independently advanced our understanding of bilingual language processing, co-registration research in the field of bilingualism remains scarce. Given the potential of co-registration methodology to integrate multiple sources of information, this article provides a theoretically and empirically informed perspective on how it can be applied to bilingualism research. Drawing on findings from EEG and eye-tracking studies on bilingual language processing, as well as co-registration research in reading, we identify key areas of bilingualism, such as crosslinguistic activation and inference revision, where co-registration can help address existing gaps. We also discuss several methodological challenges associated with co-registration and offer practical recommendations for its effective implementation in future studies. We conclude that co-registration can move research on bilingual language processing towards a more integrated perspective, one that better captures the dynamic interplay between language and cognition.

Indexed as

bilingualismbilingual language processingco-registrationEEGevent-related potentials (ERPs)eye-tracking

Identifiers

PMID42099429
PMCPMC13148255

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.