Video-oculography in multiple sclerosis: Links between oculomotor disorders and brain magnetic resonance imaging (MRI)

Polet, Kévin; Hesse, Solange; Cohen, M.; Morisot, Adeline; Joly, H.; Kullmann, B.; Mondot, Lydiane; Pesce, Alain; Lebrun-Frénay, Christine

doi:10.1016/j.msard.2020.101969

Cited by 8 publications

(13 citation statements)

References 20 publications

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“…INO was associated with more disability, worse cognition and worse arm function in the current study. These results confirm findings from earlier studies that showed an association between INO and EDSS scores (Nij Bijvank et al, 2019;Polet et al, 2020;Serra et al, 2003;Servillo et al, 2014). The EDSS brainstem functional system was strongly associated with INO, signifying the validity of quantitative oculography in evaluating brainstem function.…”

Section: Discussionsupporting

confidence: 90%

“…This is the first study that applies predefined thresholds for diagnosing INO with standardized quantitative infrared oculography in a well-characterized population-based cohort of individuals with MS (Nij between 34% and 52% when using more sensitive methods, such as infrared oculography or electro-oculography (Jozefowicz-Korczynska et al, 2008;Meienberg et al, 1986;Nij Bijvank et al, 2019;Polet et al, 2020). However, most of these studies are based on small sample sizes and rely on clinical tests with low sensitivity or oculography measures that lack standardized methods to diagnose INO.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The prevalence of internuclear ophthalmoparesis in a population-based cohort of individuals with multiple sclerosis

Hof

Loonstra

Ruiter

et al. 2022

Multiple Sclerosis and Related Disorders

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

The prevalence of internuclear ophthalmoparesis in a population-based cohort of individuals with multiple sclerosis

Hof

Loonstra

Ruiter

et al. 2022

Multiple Sclerosis and Related Disorders

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“…An advantage of eye-movement-based monitoring technologies, as opposed to wearable technologies, for example, is that they could potentially be more easily scaled to other neurodegenerative disorders. Indeed, as highlighted earlier, several eyemovement anomalies have been tied to AD (Shakespeare et al, 2015, Antoniades andKennard, 2014) and MS (Serra et al, 2018;Lizak et al, 2016), for instance, and several measured parameters have been shown to highly correlate with their respective cognitive (Noiret et al, 2018;Simó-Servat et al, 2019;Yang et al, 2013) or clinical disease scales (Gajamange et al, 2019;Nygaard et al, 2015;Kolbe et al, 2014;Sheehy et al, 2020;Polet et al, 2020).…”

Section: Discussionmentioning

confidence: 80%

“…In AD, oculomotor signatures of disease severity have been identified via correlations between specific eye movement characteristics and the Mini-Mental State Examination (MMSE) (Crawford et al, 2005;Noiret et al, 2018;Simó-Servat et al, 2019;Yang et al, 2013). Similarly, in PD, several oculomotor metrics have been shown to correlate with the Unified Parkinson's Disease Rating Scale (UPDRS) or some of its subscales (Antoniades et al, 2015;Lu et al, 2019;Waldthaler et al, 2019;Zhang et al, 2021), whereas in MS similar relationships have been observed between such metrics and the Expanded Disability Status Scale (EDSS) or the Symbol Digit Modalities Test (SDMT) (Gajamange et al, 2019;Nygaard et al, 2015;Kolbe et al, 2014;Sheehy et al, 2020;Polet et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease

Villers-Sidani

Voss

Guitton

et al. 2023

Preprint

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The idea that eye movements can reflect certain aspects of brain function and inform on the presence of neurodegeneration is not a new one. Indeed, a growing body of research has shown that several neurodegenerative disorders, such as Alzheimer's and Parkinson's Disease, present characteristic eye movement anomalies and that specific gaze and eye movement parameters correlate with disease severity. The use of detailed eye movement recordings in research and clinical settings, however, has been limited due to the expensive nature and limited scalability of the required equipment. Here we test a novel technology that can track and measure eye movement parameters using the embedded camera of a mobile tablet. We show that using this technology can replicate several well-known findings regarding oculomotor anomalies in Parkinson's disease, and furthermore show that several parameters significantly correlate with disease severity as assessed with the MDS-UPDRS motor subscale. This tablet-based tool has the potential to accelerate eye movement research via affordable and scalable eye-tracking and aid with the identification of disease status and monitoring of disease progression in clinical settings.

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“…This syndrome is usually an incidental finding in MRI performed for other reasons unrelated to MS symptoms, such as migraine, other types of headaches, or trauma. This syndrome is a rare condition with a rate of 0.8 cases per 100000 person-years (11,12) and is believed to be a precursor of RRMS or PPMS; however, not all patients diagnosed with RIS would develop MS (13). The RIS introduced by Okuda et al in 2009 (14,15), followed by considerable changes in its diagnostic criteria by McDonald et al in 2017, noting that dissemination in space (DIS) can also be a manifestation of RIS (5).…”

Section: Introductionmentioning

confidence: 99%

Sociodemographic and Neuroimaging Evaluation of Patients with Multiple Sclerosis and Radiologically Isolated Syndrome in Isfahan, Iran

et al. 2023

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Background: Multiple sclerosis (MS) is categorized into four subtypes, including clinically-isolated syndrome (CIS), primary progressive multiple sclerosis (PPMS), secondary progressive multiple sclerosis (SPMS), and relapsing-remitting multiple sclerosis (RRMS). On the other hand, radiologically-isolated syndrome (RIS) is characterized by the imaging manifestations of MS rather than its clinical symptoms. Objectives: This study aimed to compare the sociodemographic and neuroimaging findings of different MS phenotypes and RIS. Methods: The current cross-sectional study was conducted on 3716 patients at the Multiple Sclerosis Clinic of Kashani Hospital, Isfahan, Iran, from June 2018 to April 2019. Patients presenting with RIS, CIS, and MS were included in this study. Results: The age of disease onset was remarkably lower in patients with RRMS, while the body mass index was significantly higher in RIS (P-value < 0.05). Other factors, including gender, occupation, marital status, smoking, and family history of MS, showed no significant difference (P-value > 0.05). Neuroimaging assessments revealed significant differences in terms of the location of the plaques, the activity of the plaques, brain atrophy, lesion load, the number of cervical plaques, and the presence of longitudinally-extended transverse myelitis (P-value < 0.05), but not regarding the activity of cervical and thoracolumbar plaques and the number of thoracolumbar lesions (P-value > 0.05). Conclusions: Different MS phenotypes showed variations in terms of sociodemographic and neuroimaging characteristics. Follow-up studies are recommended to determine the risk factors predicting the conversion of RIS and CIS to other MS phenotypes.

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Video-oculography in multiple sclerosis: Links between oculomotor disorders and brain magnetic resonance imaging (MRI)

Cited by 8 publications

References 20 publications

The prevalence of internuclear ophthalmoparesis in a population-based cohort of individuals with multiple sclerosis

The prevalence of internuclear ophthalmoparesis in a population-based cohort of individuals with multiple sclerosis

A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease

Sociodemographic and Neuroimaging Evaluation of Patients with Multiple Sclerosis and Radiologically Isolated Syndrome in Isfahan, Iran

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