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. 2025 Oct 15;7(5):fcaf402.
doi: 10.1093/braincomms/fcaf402. eCollection 2025.

The relation of eye movements to the occurrence of freezing of gait in Parkinson's disease

Collaborators, Affiliations

The relation of eye movements to the occurrence of freezing of gait in Parkinson's disease

Juan Fernandez-Ruiz et al. Brain Commun. .

Abstract

Freezing of gait is a debilitating motor symptom in Parkinson's disease that significantly increases fall risk and impairs quality of life. The poorly understood pathophysiology of freezing of gait presents challenges for early prediction and therapeutic intervention. This prospective study investigated whether eye movement abnormalities, specifically in the anti-saccade paradigm, could predict freezing of gait onset in Parkinson's disease patients over a two-year follow-up period. We analysed longitudinal data from the Ontario Neurodegenerative Disease Research Initiative, focusing on Parkinson's disease patients without freezing of gait at baseline who underwent comprehensive clinical evaluations and eye movement recordings. Anti-saccade reaction time and error ratio, combined with clinical measures including right upper extremity rigidity, demonstrated significant predictive value for freezing of gait development within two years. These findings suggest that eye movement deficits and upper limb rigidity emerge years before freezing of gait onset, indicating a prodromal phase in freezing of gait pathogenesis. The predictive relationship between these measures supports the hypothesis of shared neural substrates, potentially involving the mesencephalic locomotor region, in the development of both oculomotor dysfunction and gait freezing episodes.

Keywords: Parkinson's disease; anti-saccade; eye movement biomarkers; freezing of gait; predictive markers.

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Conflict of interest statement

M.M. holds grants unrelated to this work from the Canadian Institutes of Health Research (CIHR), Washington University, the Women’s Brain Health Initiative, and Brain Canada as part of the EU Joint Program for Neurodegenerative Disease Research. M.M. also has clinical trial contracts with Roche and Alector; has received consulting fees from Eisai Canada, Eli Lilly Canada, and Novo Nordisk Canada; received royalties from the Henry Stewart Talks; has received payments from MINT Memory Clinics and the ECHO Dementia Series; and holds unpaid Scientific Advisory Board roles with the Alzheimer’s Society Canada and Parkinson Canada. R.S. is supported by the Bastable-Potts Chair in Stroke Research, holds stock ownership in FollowMD Inc., and has served on an advisory board for Roche within the last two years. D.A.G. has received honoraria for speaking engagements with Ipsen and consulting for AbbVie, Biogen Canada, and Knight Therapeutics. D.A.G. has also participated in clinical trials funded by CIHR, Cerevel Therapeutics, Hoffmann-La Roche, UCB Biopharma, and Bial R&D Investments. All other authors report no competing interests.

Figures

Graphical Abstract
Graphical Abstract
Figure 1
Figure 1
Normalized metrics that differed between groups at the first visit. Group effects (n-FOG (n = 10) and y-FOG (n = 11)) are from the primary models (MANCOVA with variable-level follow-up tests, adjusted for covariates as specified in Methods). Panels display individual data points where each dot represents one participant; central horizontal lines indicate medians. A-E, Eye-movement variables: (A) PS amplitude (P = 0.02, η² = 0.12); (B) AS reaction time (P = 0.03, η² = 0.2); (C) AS amplitude (P = 0.02, η² = 0.24); (D) AS express error (P = 0.02, η² = 0.23); (E) AS error (P = 0.02, η² = 0.23). F-J, Motor variables: (F) tremor (P = 0.01, η² = 0.29); (G) left hand postural tremor (P = 0.01, η² = 0.25); (H) left hand tremor amplitude (P = 0.01, η² = 0.35); (I) right arm rigidity (P = 0.02, η² = 0.23); (J) right finger tapping (P = 0.03, η² = 0.21). PS: pro-saccade; AS: antisaccade.
Figure 2
Figure 2
Receiver operating characteristic (ROC) curves for the only variables predicting freezing of gate (FOG). The dots on each curve mark the optimal cut-off points as determined by Youden's Index. (A) Eye-movement variables. (B) Clinical variables. AUC: area under the curve. Left panel lines are shown jittered for clarity purposes.

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