Evidence map›Paper›PMID 42483223›Full record

ArticleFrontiers in neuroscience2026

Development of a transformation model to analyze horizontal saccadic velocity using electrooculography: a pilot feasibility study.

Da Young Kim, Tae-Joon Kim, Yunsoo Kim, Jisu Yoo, JaeWook Jeong, Sun-Uk Lee, Jun Young Choi

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Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Da Young Kim *Department of Neurology, Ajou University Hospital, Suwon, Republic of Korea.
Tae-Joon Kim *Department of Neurology, Ajou University Hospital, Suwon, Republic of Korea.
Yunsoo KimDepartment of Neurology, Ajou University Hospital, Suwon, Republic of Korea.
Jisu YooDepartment of Convergence Healthcare Medicine, Ajou University, Suwon, Republic of Korea.
JaeWook JeongDepartment of Neurology, Ajou University Hospital, Suwon, Republic of Korea.
Sun-Uk LeeNeurotology and Neuro-Ophthalmology Laboratory, Korea University Medical Center, Seoul, Republic of Korea.
Jun Young ChoiDepartment of Neurology, Ajou University Hospital, Suwon, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Saccadic eye movements are established biomarkers in neuroscience and clinical neurology, with video-oculography (VOG) serving as the gold standard for measurement. However, the high cost, bulky equipment, and poor portability of VOG systems restrict their clinical utility. Electrooculography (EOG) provides a practical alternative, but quantitative conversion of EOG-derived measurements into VOG-equivalent values remains insufficiently established. This study aimed to develop and validate a mathematically derived transformation model for estimating VOG-equivalent horizontal saccadic velocities from EOG recordings. Methods: Four healthy adults underwent simultaneous EOG and VOG recordings while performing controlled horizontal gaze shifts. Based on a current-source model of the corneal potential, an analytical relationship between EOG voltage velocity and angular eye velocity was derived. Multiple high-pass filter settings were systematically evaluated to identify optimal signal-processing conditions. Transformation equations were derived from the pooled horizontal-saccade dataset and further evaluated using leave-one-subject-out (LOSO) analysis. Results: The theoretical model predicted a linear relationship between EOG- and VOG-derived saccadic velocities. Among the tested filter settings, a 0.3 Hz high-pass combined with a 35 Hz low-pass filter yielded the best overall agreement. Under this condition, the final transformation model produced a common slope coefficient of 0.146 °/μV for both movement directions, with an additional direction-specific intercept of -82.37 °/s for rightward saccades. Converted EOG-derived velocities showed no significant differences from measured VOG-derived velocities. LOSO validation demonstrated stable transformation coefficients (mean slope = 0.147 °/μV, mean intercept = -82.47 °/s) and maintained agreement across individuals. Conclusion: A biophysically derived and experimentally validated EOG-to-VOG transformation model can provide accurate estimates of horizontal saccadic velocity under appropriate filtering conditions. These findings support the feasibility of quantitative saccadic analysis using EOG, providing a practical alternative to VOG.

Indexed as

biomarkerselectrooculographyeye movementssaccadesvideooculograph(y) (VOG)

Identifiers

PMID42483223
PMCPMC13384945

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