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Speed-Sensitive EEG Biomarkers in a Motion Tracking Paradigm: Implications for Dynamic Visual Acuity Research.

Zejin Li1, Guanghua Xu1,2,3,4, Hui Li1

  • 1School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710061, China.

Brain Sciences
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

Hjorth activity, an EEG measure, shows strong correlation with dynamic visual acuity (DVA) speed. This finding supports its potential as a reliable biomarker for evaluating dynamic vision objectively.

Keywords:
EEG feature extractionV5/MTdynamic visual acuitymotiontarget tracking

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Biomedical Engineering

Background:

  • Dynamic visual acuity (DVA) assessment is crucial, yet often relies on static visual acuity (SVA) as a proxy.
  • Distinct neural pathways underlie DVA, necessitating specific biomarkers for accurate evaluation.
  • Current clinical practices often overlook the functional differences between static and dynamic vision.

Purpose of the Study:

  • To identify electroencephalography (EEG) biomarkers sensitive to varying speeds of dynamic visual stimuli.
  • To evaluate the correlation between specific EEG features and horizontal motion speeds (4°/s to 30°/s).
  • To establish a foundation for objective neurophysiological assessment of dynamic vision.

Main Methods:

  • Participants viewed a high-contrast checkerboard moving horizontally at controlled speeds.
  • Six EEG features (ERPs, TRCA, Hjorth activity, mean curve length, Tsallis entropy) were extracted from occipito-parietal channels.
  • Speed sensitivity of EEG features was analyzed using univariate correlation and Lasso regression.

Main Results:

  • Hjorth activity and Tsallis entropy demonstrated consistent monotonic trends with increasing speed.
  • Hjorth activity showed the strongest univariate correlation with speed (r = 0.88, p < 0.05).
  • A Lasso regression model predicted actual speed with r = 0.588, retaining TRCA-weighted features.

Conclusions:

  • Hjorth activity is a highly sensitive, neuroanatomically plausible, and simple EEG biomarker candidate for DVA.
  • The study supports Hjorth activity for developing objective EEG-based DVA assessment tools.
  • Findings pave the way for improved neurophysiological evaluation of dynamic visual performance.