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Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease
Abnormalities of oculometric measures (OM) are widely described in people with Parkinson's disease (PD). However, knowledge of correlations between abnormal OM, disease severity and clinical assessment in PD patients is still lacking. To evaluate these correlations, PD patients (215 patients, m...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Vienna
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480268/ https://www.ncbi.nlm.nih.gov/pubmed/37553460 http://dx.doi.org/10.1007/s00702-023-02681-y |
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author | Reiner, Johnathan Franken, Liron Raveh, Eitan Rosset, Israel Kreitman, Rivka Ben-Ami, Edmund Djaldetti, Ruth |
author_facet | Reiner, Johnathan Franken, Liron Raveh, Eitan Rosset, Israel Kreitman, Rivka Ben-Ami, Edmund Djaldetti, Ruth |
author_sort | Reiner, Johnathan |
collection | PubMed |
description | Abnormalities of oculometric measures (OM) are widely described in people with Parkinson's disease (PD). However, knowledge of correlations between abnormal OM, disease severity and clinical assessment in PD patients is still lacking. To evaluate these correlations, PD patients (215 patients, mean age 69 ± 9.1 years, 79 females) with severe (H&Y > 3) and mild to moderate (H&Y ≤ 2) disease, and 215 age-matched healthy subjects were enrolled. All patients were evaluated using MDS-UPDRS and an oculometric test using computer vision and deep learning algorithms. Comparisons of OM between groups and correlations between OM and MDS-UPDRS scores were calculated. Saccadic latency (ms) was prolonged in patients with severe compared with mild to moderate disease (pro-saccades: 267 ± 69 vs. 238 ± 53, p = 0.0011; anti-saccades: 386 ± 119 vs. 352 ± 106, p = 0.0393) and in patients with mild to moderate disease versus healthy subjects (pro-saccades: 238 ± 53 vs. 220 ± 45, p = 0.0003; anti-saccades: 352 ± 106 vs. 289 ± 71, p < 0.0001). Error rate (%) was higher among patients with severe (64.06 ± 23.08) versus mild to moderate disease (49.84 ± 24.81, p = 0.0001), and versus healthy subjects (49.84 ± 24.81 vs. 28.31 ± 21.72, p = 0.00001). Response accuracy (%) was lower for patients with severe (75.66 ± 13.11) versus mild to moderate disease (79.66 ± 13.56, p = 0.0462), and versus healthy subjects (79.66 ± 13.56 vs. 90.27 ± 8.79, p < 0.0001). Pro- and anti-saccadic latency, error rate and accuracy were correlated with MDS-UPDRS scores (r = 0.32, 0.28, 0.36 and -0.30, respectively, p < 0.0001) and similar correlations were found with its axial subscore (R = 0.38, 0.29, 0.44, and -0.30, respectively, p < 0.0001). Several OM were different in patients under levodopa treatment. OM worsened as PD severity increases, and were correlated with MDS-UPDRS scores. Using OM can be implemented for PD patients’ assessment as a tool to follow disease progression. |
format | Online Article Text |
id | pubmed-10480268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-104802682023-09-07 Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease Reiner, Johnathan Franken, Liron Raveh, Eitan Rosset, Israel Kreitman, Rivka Ben-Ami, Edmund Djaldetti, Ruth J Neural Transm (Vienna) Neurology and Preclinical Neurological Studies - Original Article Abnormalities of oculometric measures (OM) are widely described in people with Parkinson's disease (PD). However, knowledge of correlations between abnormal OM, disease severity and clinical assessment in PD patients is still lacking. To evaluate these correlations, PD patients (215 patients, mean age 69 ± 9.1 years, 79 females) with severe (H&Y > 3) and mild to moderate (H&Y ≤ 2) disease, and 215 age-matched healthy subjects were enrolled. All patients were evaluated using MDS-UPDRS and an oculometric test using computer vision and deep learning algorithms. Comparisons of OM between groups and correlations between OM and MDS-UPDRS scores were calculated. Saccadic latency (ms) was prolonged in patients with severe compared with mild to moderate disease (pro-saccades: 267 ± 69 vs. 238 ± 53, p = 0.0011; anti-saccades: 386 ± 119 vs. 352 ± 106, p = 0.0393) and in patients with mild to moderate disease versus healthy subjects (pro-saccades: 238 ± 53 vs. 220 ± 45, p = 0.0003; anti-saccades: 352 ± 106 vs. 289 ± 71, p < 0.0001). Error rate (%) was higher among patients with severe (64.06 ± 23.08) versus mild to moderate disease (49.84 ± 24.81, p = 0.0001), and versus healthy subjects (49.84 ± 24.81 vs. 28.31 ± 21.72, p = 0.00001). Response accuracy (%) was lower for patients with severe (75.66 ± 13.11) versus mild to moderate disease (79.66 ± 13.56, p = 0.0462), and versus healthy subjects (79.66 ± 13.56 vs. 90.27 ± 8.79, p < 0.0001). Pro- and anti-saccadic latency, error rate and accuracy were correlated with MDS-UPDRS scores (r = 0.32, 0.28, 0.36 and -0.30, respectively, p < 0.0001) and similar correlations were found with its axial subscore (R = 0.38, 0.29, 0.44, and -0.30, respectively, p < 0.0001). Several OM were different in patients under levodopa treatment. OM worsened as PD severity increases, and were correlated with MDS-UPDRS scores. Using OM can be implemented for PD patients’ assessment as a tool to follow disease progression. Springer Vienna 2023-08-09 2023 /pmc/articles/PMC10480268/ /pubmed/37553460 http://dx.doi.org/10.1007/s00702-023-02681-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Neurology and Preclinical Neurological Studies - Original Article Reiner, Johnathan Franken, Liron Raveh, Eitan Rosset, Israel Kreitman, Rivka Ben-Ami, Edmund Djaldetti, Ruth Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease |
title | Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease |
title_full | Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease |
title_fullStr | Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease |
title_full_unstemmed | Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease |
title_short | Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease |
title_sort | oculometric measures as a tool for assessment of clinical symptoms and severity of parkinson’s disease |
topic | Neurology and Preclinical Neurological Studies - Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480268/ https://www.ncbi.nlm.nih.gov/pubmed/37553460 http://dx.doi.org/10.1007/s00702-023-02681-y |
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