Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson’s Disease Progression

Śledzianowski, Albert; Szymański, Artur; Drabik, Aldona; Szlufik, Stanisław; Koziorowski, Dariusz; Przybyszewski, Andrzej W.

doi:10.1007/978-3-030-14802-7_52

Cited by 4 publications

(10 citation statements)

References 17 publications

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“…Surprisingly, the UPDRS IV was estimated with an accuracy of 0.91 and coverage of 0.39, so UPDRS IV showed a more significant correlation with antisaccade parameters. Thus, UPDRS IV showed greater sensitivity in predicting antisaccade parameters [21].…”

Section: Em In Pd -Antisaccadesmentioning

confidence: 93%

“…The red line is related to the light spot movements, and the blue and green curves are related to reflexive AS performed by two different PD patients in different stages of the disease: the blue curve EM at the beginning of the disease, and the green curve in the advanced PD stage. Notice the significant difference not only in response latencies, but also in AS speed, and that a more advanced PD patient started with a saccade that was changed to AS [21].…”

Section: Figurementioning

confidence: 99%

“…In another study [21], the significance of the antisaccades (AS) parameters for the classification of Parkinson's Disease motor and motor variations (UPDRS II and UPDRS IV) was tested. There were 11 PD patients examined in 4 sessions.…”

Section: Em In Pd -Antisaccadesmentioning

confidence: 99%

“…RSES was used for the data discretization and attribute reduction and performed a 5-fold cross-validation. The best result was obtained by the RSES Decomposition Tree, which splits the dataset into fragments represented as a tree's leaves [21]. The UPDRS III classification results indicated an accuracy of 0.85 with a coverage of 0.48.…”

Section: Em In Pd -Antisaccadesmentioning

confidence: 99%

“…The same group of patients as in [21], was used for UPDRS prediction based on RS and AS measurements. The best accuracy of 0.89 was achieved by the Decision Trees [11].…”

Section: Em In Pd -Saccades and Antisaccadesmentioning

confidence: 99%

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Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms

Przybyszewski¹,

Śledzianowski²,

Chudzik³

et al. 2022

Preprint

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Humans are a vision-dominated species, and what we see depends on where we look. Therefore, eye movements (EM) are essential to our interactions with the environment, and experimental findings show EM is affected in neurodegenerative disorders (ND). It could be a reason for some cognitive and movement disorders in ND. Therefore, we aim to determine if changes in EM-evoked responses can tell us about ND, such as Alzheimer’s (AD) and Parkinson’s Disease (PD) progression in different stages. In the present review, we have analyzed the results of neurological, psychological, and EM (saccades, antisaccades, pursuit) tests to predict disease progression with Machine Learning (ML) methods. Described predictive algorithms are using various approaches, including Granular Computing, Naive Bayes, Decision Trees/Tables, Logistic Regression, C-/LinearSVC, KNC, and Random Forest. We demonstrated that EM is a robust biomarker for assessing symptom progression in PD and AD. There are also navigation problems in 3D space in both diseases. Consequently, we investigated EM experiments in the virtual space and how they may help find neurodegeneration-related brain changes. In conclusion: EM parameters with clinical symptoms are powerful precision instruments that, in addition to predictions of ND progression with the help of ML, could be used to indicate the different preclinical stages of both diseases.

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Section: Em In Pd -Antisaccadesmentioning

confidence: 93%

Section: Figurementioning

confidence: 99%

Section: Em In Pd -Antisaccadesmentioning

confidence: 99%

Section: Em In Pd -Antisaccadesmentioning

confidence: 99%

“…The same group of patients as in [21], was used for UPDRS prediction based on RS and AS measurements. The best accuracy of 0.89 was achieved by the Decision Trees [11].…”

Section: Em In Pd -Saccades and Antisaccadesmentioning

confidence: 99%

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