دورية أكاديمية
أعرض في EDS

Eye movement function captured via an electronic tablet informs on cognition and disease severity in Parkinson's disease.

التفاصيل البيبلوغرافية
العنوان: Eye movement function captured via an electronic tablet informs on cognition and disease severity in Parkinson's disease.
المؤلفون: Koch NA; Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada.; Innodem Neurosciences, Montreal, QC, Canada., Voss P; Montreal Neurological Institute, McGill University, 3801 University Rm 742, Montreal, QC, H3A 2B4, Canada.; Innodem Neurosciences, Montreal, QC, Canada., Cisneros-Franco JM; Montreal Neurological Institute, McGill University, 3801 University Rm 742, Montreal, QC, H3A 2B4, Canada., Drouin-Picaro A; Innodem Neurosciences, Montreal, QC, Canada., Tounkara F; Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada., Ducharme S; Montreal Neurological Institute, McGill University, 3801 University Rm 742, Montreal, QC, H3A 2B4, Canada.; Douglas Mental Health University Institute, Montreal, QC, Canada., Guitton D; Montreal Neurological Institute, McGill University, 3801 University Rm 742, Montreal, QC, H3A 2B4, Canada., de Villers-Sidani É; Montreal Neurological Institute, McGill University, 3801 University Rm 742, Montreal, QC, H3A 2B4, Canada. etienne.de-villers-sidani@mcgill.ca.; Innodem Neurosciences, Montreal, QC, Canada. etienne.de-villers-sidani@mcgill.ca.
المصدر: Scientific reports [Sci Rep] 2024 Apr 20; Vol. 14 (1), pp. 9082. Date of Electronic Publication: 2024 Apr 20.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مواضيع طبية MeSH: Parkinson Disease*, Humans ; Eye Movements ; Cognition ; Movement ; Patient Acuity
مستخلص: Studying the oculomotor system provides a unique window to assess brain health and function in various clinical populations. Although the use of detailed oculomotor parameters in clinical research has been limited due to the scalability of the required equipment, the development of novel tablet-based technologies has created opportunities for fast, easy, cost-effective, and reliable eye tracking. Oculomotor measures captured via a mobile tablet-based technology have previously been shown to reliably discriminate between Parkinson's Disease (PD) patients and healthy controls. Here we further investigate the use of oculomotor measures from tablet-based eye-tracking to inform on various cognitive abilities and disease severity in PD patients. When combined using partial least square regression, the extracted oculomotor parameters can explain up to 71% of the variance in cognitive test scores (e.g. Trail Making Test). Moreover, using a receiver operating characteristics (ROC) analysis we show that eye-tracking parameters can be used in a support vector classifier to discriminate between individuals with mild PD from those with moderate PD (based on UPDRS cut-off scores) with an accuracy of 90%. Taken together, our findings highlight the potential usefulness of mobile tablet-based technology to rapidly scale eye-tracking use and usefulness in both research and clinical settings by informing on disease stage and cognitive outcomes.
(© 2024. The Author(s).)
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معلومات مُعتمدة: RGPIN-2019-04761 Natural Sciences and Engineering Research Council of Canada
تواريخ الأحداث: Date Created: 20240420 Date Completed: 20240422 Latest Revision: 20240426
رمز التحديث: 20240426
مُعرف محوري في PubMed: PMC11032372
DOI: 10.1038/s41598-024-59750-9
PMID: 38643273
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-024-59750-9