Evidence map›Paper›PMID 41676644›Full record

ArticlebioRxiv : the preprint server for biology2026

Eye-Tracking-BIDS: the Brain Imaging Data Structure extended to gaze position and pupil data.

Martin Szinte, Dominik R Bach, Dejan Draschkow, Oscar Esteban, Benjamin Gagl, Rémi Gau, Klara Gregorova, Yaroslav O Halchenko, Scott Huberty, Sina M Kling and 6 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

16 authors.

Martin SzinteInstitut de Neurosciences de la Timone, CNRS, Aix-Marseille Université, Marseille, France.
Dominik R BachUniversity of Bonn, Transdisciplinary Research Area "Life & Health", Centre for Artificial Intelligence and Neuroscience, Bonn, Germany.
Dejan DraschkowDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
Oscar EstebanSchool of Engineering, HES-SO University of Applied Sciences and Arts Western Switzerland.
Benjamin GaglSelf-Learning Systems Lab, University of Cologne, Germany.
Rémi GauNeuro Data Science ORIGAMI Laboratory, McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montréal, Canada.
Klara GregorovaDepartment of Psychology and Sports Sciences, Goethe University, Frankfurt am Main, Germany.
Yaroslav O HalchenkoCenter for Open Neuroscience, Department of Psychological and Brain Sciences, Dartmouth College, NH, USA.
Scott HubertyDepartment of Pediatrics and Neurology, University of Southern California, Los Angeles, CA, USA.
Sina M KlingInstitut de Neurosciences de la Timone, CNRS, Aix-Marseille Université, Marseille, France.
Sourav KulkarniUniversity of Bonn, Transdisciplinary Research Area "Life & Health", Centre for Artificial Intelligence and Neuroscience, Bonn, Germany.
BIDS Maintainers
Christopher J MarkiewiczDepartment of Psychology, Stanford University, Stanford, CA, USA.
Mark MikkelsenDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.
Robert OostenveldDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands.
Julia-Katharina PfarrNeuro Data Science ORIGAMI Laboratory, McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montréal, Canada.

Funding

Resource DiscoveryP41EB019936 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI David Nelson Kennedy · 2016 to 2026
$15.2M
Ecosystem for Multi-modal Brain-behavior Experimentation and Research (EMBER)R24DA064430 · NIDA · JOHNS HOPKINS UNIVERSITY · PI BROCK A. WESTER · 2025 to 2026
$2.4M
Ecosystem for Multi-modal Brain-behavior Experimentation and Research (EMBER)R24MH136632 · NIMH · JOHNS HOPKINS UNIVERSITY · PI WESTER, BROCK A. · 2024 to 2024
$1.2M
NIBIB NIH HHS P41 EB019936NIDA NIH HHS R24 DA064430NIMH NIH HHS R24 MH136632
6 · The paper itself

Abstract

The Brain Imaging Data Structure (BIDS) is a widely adopted, community-driven standard to organize neuroimaging data and metadata. Although numerous extensions have been developed to incrementally extend coverage to new modalities and data types, an unambiguous, granular specification for eye-tracking recordings is lacking. Here, we present how BIDS will structure data and metadata produced by eye-tracking devices, including gaze position and pupil data. In addition to prescribing the organization of the unprocessed (raw) recordings and associated metadata as produced by the device, BEP20 also resolves gaps in current BIDS specifications beyond the scope of eye tracking. In particular, it adds a mechanism for including asynchronous model parameters and messages, such as contextual information, statuses, and events, such as triggers, generated by the device. BEP20 includes examples that illustrate its applicability in various experimental settings. This BIDS extension provides a robust standard that supports the development of self-adaptive, open, and automated eye-tracking data structures, thereby bolstering transparency and reliability of results in this field.

Identifiers

PMID41676644
PMCPMC12889726

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.