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Related Experiment Video

Updated: May 20, 2025

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
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Visual processing capacity and cognitive decline in Parkinson's disease.

Katharina Gerner1,2, Peter Bublak3, Kathrin Finke3,4

  • 1Friedrich Schiller University Jena, Jena, Thüringen, Germany.

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|March 25, 2025
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Summary

Cognitive decline in Parkinson's disease (PD) is common. The theory of visual attention (TVA) revealed reduced visual processing speed and memory capacity in PD patients, aiding early diagnosis.

Keywords:
COGNITIONPARKINSON'S DISEASEVISUAL ATTENTION

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neurology

Background:

  • Parkinson's disease (PD) is a progressive neurodegenerative disorder primarily known for motor symptoms.
  • Cognitive impairment, including dementia, affects approximately 50% of PD patients within a decade of diagnosis.
  • Deficits in working memory and visuospatial abilities are common, but detailed cognitive assessments linking to theoretical models are lacking.

Purpose of the Study:

  • To investigate visual processing in Parkinson's disease patients using the theory of visual attention (TVA).
  • To assess cognitive deficits in PD patients with and without cognitive impairment.
  • To determine if TVA parameters can detect and monitor cognitive changes in PD.

Main Methods:

  • Cross-sectional study involving 75 participants: 50 with PD (divided into two groups based on MoCA scores) and 25 healthy controls.
  • Employed the TVA whole report paradigm to measure visual processing speed (C) and visual short-term memory capacity (K).
  • Montreal Cognitive Assessment (MoCA) scores were used to categorize participants' cognitive status.

Main Results:

  • Patients with PD and MoCA scores below 26 showed significantly diminished visual processing speed (C) and visual short-term memory capacity (K) (p=0.016 for C, p<0.001 for K).
  • No significant differences were found between controls and PD patients with MoCA scores of 26 or above.
  • Age significantly influenced the C-parameter, while gender notably affected the K-parameter.

Conclusions:

  • TVA parameters are effective in detecting cognitive deficits in Parkinson's disease.
  • These parameters are independent of motor and non-motor symptoms.
  • TVA may serve as a valuable tool for early diagnosis and longitudinal monitoring of cognitive decline in PD.