henhaobio
Sign in

Journal of VisionNeurosciencePeer-reviewed journal article

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

Martin SzinteiD, Dominik R. BachiD, Dejan DraschkowiD, Oscar EstébaniD, Benjamin GagliD, Rémi GauiD, Klara GregorováiD, Yaroslav O. HalchenkoiD, Scott HubertyiD, Sina M. Kling, Sourav Kulkarni, Christopher Johnson MarkiewicziD, Mark Mikkelsen, Robert OostenveldiD, Julia‐Katharina PfarriD

PDFDOIPreprint

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.

Citations
3
FWCI
3.12
Field percentile
top 7%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.