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

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.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-05
DOI
https://doi.org/10.64898/2026.02.03.703514
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Sourav Kulkarni, Martin Szinte, Klara Gregorová, Dominik R. Bach et al.
bioRxiv (Cold Spring Harbor Laboratory)
Gaze Tracking and Assistive Technology
article

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

Sourav Kulkarni, Martin Szinte, Klara Gregorová, Dominik R. Bach, Benjamin Gagl, Mark E. Mikkelsen, Julia‐Katharina Pfarr, Dejan Draschkow, Scott Huberty, Remi Gau, Robert Oostenveld, Yaroslav O. Halchenko, Sina M. Kling, Christopher J. Markiewicz
article en

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.

bioRxiv (Cold Spring Harbor Laboratory)
TH Köln - University of Applied Sciences (DE), Goethe University Frankfurt (DE), University of Southern California (US), Montreal Neurological Institute and Hospital (CA), Centre National de la Recherche Scientifique (FR), Children's Hospital of Los Angeles (US), University of Bonn (DE), Radboud University Nijmegen (NL), Philipps University of Marburg (DE), HES-SO University of Applied Sciences and Arts Western Switzerland (CH), Cornell University (US), Karolinska Institutet (SE), University of Oxford (GB), Center for Neurosciences (US), Institut de Neurosciences de la Timone (FR), Weill Cornell Medicine (US), Stanford University (US)
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Gaze Tracking and Assistive Technology
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