1
|
Cecchetti S, Duchowski AT, Cavallo M. Eye-Tracking Metrics as a Digital Biomarker for Neurocognitive Disorders in Multiple Sclerosis: A Scoping Review. Brain Sci 2025; 15:149. [PMID: 40002482 PMCID: PMC11852410 DOI: 10.3390/brainsci15020149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2024] [Revised: 01/28/2025] [Accepted: 01/30/2025] [Indexed: 02/27/2025] Open
Abstract
Multiple sclerosis (MS) is an autoimmune disease classified as neurodegenerative because it can be associated with the more or less progressive development of neurological symptoms and cognitive deficits. In recent years, various studies have started to investigate eye movements in relation to cognitive impairment in persons with MS by means of eye-tracking equipment. However, the high heterogeneity of the paradigms used in different studies, as well as the different methodologies included, makes it difficult to provide a complete and precise picture of this important research and clinical issue. The purpose of the present in-depth scoping review was to map the existing literature in this field to determine which metrics may be relevant when dealing with the neurocognitive profile of people with MS. From the analyses of the included studies, the anti-saccade latency and errors were the most frequently proposed metrics. Correlation analyses between these metrics and cognitive measures showed significant associations between them, calling for a deeper investigation of this promising research and clinical field. The results of the present scoping review strongly suggest that eye tracking may play a crucial role in clinical practice during the early detection of neurocognitive disorders. There is a great need for primary research that addresses the full complexity of MS in its different phenotypes and the disease-related variables from a multidisciplinary perspective. Future research should clarify whether oculomotor dysfunction in MS follows or precedes cognitive deficits.
Collapse
Affiliation(s)
- Sonja Cecchetti
- Department of Theoretical and Applied Sciences, eCampus University, 22060 Novedrate, Italy;
| | | | - Marco Cavallo
- Department of Theoretical and Applied Sciences, eCampus University, 22060 Novedrate, Italy;
| |
Collapse
|
2
|
Nij Bijvank JA, Hof SN, Prouskas SE, Schoonheim MM, Uitdehaag BMJ, van Rijn LJ, Petzold A. A novel eye-movement impairment in multiple sclerosis indicating widespread cortical damage. Brain 2023; 146:2476-2488. [PMID: 36535900 PMCID: PMC10232247 DOI: 10.1093/brain/awac474] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 11/04/2022] [Accepted: 11/22/2022] [Indexed: 11/04/2023] Open
Abstract
In multiple sclerosis, remyelination trials have yet to deliver success like that achieved for relapse rates with disease course modifying treatment trials. The challenge is to have a clinical, functional outcome measure. Currently, there are none that have been validated, other than visual evoked potentials in optic neuritis. Like vision, quick eye movements (saccades) are heavily dependent on myelination. We proposed that it is possible to extrapolate from demyelination of the medial longitudinal fasciculus in the brainstem to quantitative assessment of cortical networks governing saccadic eye movements in multiple sclerosis. We have developed and validated a double-step saccadic test, which consists of a pair of eye movements towards two stimuli presented in quick succession (the demonstrate eye movement networks with saccades protocol). In this single-centre, cross-sectional cohort study we interrogated the structural and functional relationships of double-step saccades in multiple sclerosis. Data were collected for double-step saccades, cognitive function (extended Rao's Brief Repeatable Battery), disability (Expanded Disability Status Scale) and visual functioning in daily life (National Eye Institute Visual Function Questionnaire). MRI was used to quantify grey matter atrophy and multiple sclerosis lesion load. Multivariable linear regression models were used for analysis of the relationships between double-step saccades and clinical and MRI metrics. We included 209 individuals with multiple sclerosis (mean age 54.3 ± 10.5 years, 58% female, 63% relapsing-remitting multiple sclerosis) and 60 healthy control subjects (mean age 52.1 ± 9.2 years, 53% female). The proportion of correct double-step saccades was significantly reduced in multiple sclerosis (mean 0.29 ± 0.22) compared to controls (0.45 ± 0.22, P < 0.001). Consistent with this, there was a significantly larger double-step dysmetric saccadic error in multiple sclerosis (mean vertical error -1.18 ± 1.20°) compared to controls (-0.54 ± 0.86°, P < 0.001). Impaired double-step saccadic metrics were consistently associated with more severe global and local grey matter atrophy (correct responses-cortical grey matter: β = 0.42, P < 0.001), lesion load (vertical error: β = -0.28, P < 0.001), progressive phenotypes, more severe physical and cognitive impairment (correct responses-information processing: β = 0.46, P < 0.001) and visual functioning. In conclusion, double-step saccades represent a robust metric that revealed a novel eye-movement impairment in individuals with multiple sclerosis. Double-step saccades outperformed other saccadic tasks in their statistical relationship with clinical, cognitive and visual functioning, as well as global and local grey matter atrophy. Double-step saccades should be evaluated longitudinally and tested as a potential novel outcome measure for remyelination trials in multiple sclerosis.
Collapse
Affiliation(s)
- Jenny A Nij Bijvank
- Amsterdam UMC, Department of Neurology, Vrije Universiteit Amsterdam, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
- Amsterdam UMC, Department of Ophthalmology, Vrije Universiteit Amsterdam, Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
| | - Sam N Hof
- Amsterdam UMC, Department of Neurology, Vrije Universiteit Amsterdam, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
| | - Stefanos E Prouskas
- Amsterdam UMC, Department of Anatomy and Neurosciences, Vrije Universiteit Amsterdam, MS Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
| | - Menno M Schoonheim
- Amsterdam UMC, Department of Anatomy and Neurosciences, Vrije Universiteit Amsterdam, MS Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
| | - Bernard M J Uitdehaag
- Amsterdam UMC, Department of Neurology, Vrije Universiteit Amsterdam, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
| | - Laurentius J van Rijn
- Amsterdam UMC, Department of Ophthalmology, Vrije Universiteit Amsterdam, Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
- Department of Ophthalmology, Onze Lieve Vrouwe Gasthuis, 1091 AC Amsterdam, The Netherlands
| | - Axel Petzold
- Amsterdam UMC, Department of Neurology, Vrije Universiteit Amsterdam, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
- Amsterdam UMC, Department of Ophthalmology, Vrije Universiteit Amsterdam, Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, 1081 HZ Amsterdam, The Netherlands
- Moorfields Eye Hospital, The National Hospital for Neurology and Neurosurgery and the Queen Square Institute of Neurology, UCL, London EC1V 2PD, UK
| |
Collapse
|
3
|
García Cena CE, Gómez-Andrés D, Pulido-Valdeolivas I, Sánchez-Seco VG, Domingo-Santos A, Moreno-García S, Benito-León J. Toward an Automatic Assessment of Cognitive Dysfunction in Relapsing-Remitting Multiple Sclerosis Patients Using Eye Movement Analysis. SENSORS (BASEL, SWITZERLAND) 2022; 22:8220. [PMID: 36365918 PMCID: PMC9657913 DOI: 10.3390/s22218220] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/13/2022] [Accepted: 10/22/2022] [Indexed: 06/16/2023]
Abstract
Despite the importance of cognitive function in multiple sclerosis, it is poorly represented in the Expanded Disability Status Scale (EDSS), the commonly used clinical measure to assess disability, suggesting that an analysis of eye movement, which is generated by an extensive and well-coordinated functional network that is engaged in cognitive function, could have the potential to extend and complement this more conventional measure. We aimed to measure the eye movement of a case series of MS patients with relapsing−remitting MS to assess their cognitive status using a conventional gaze tracker. A total of 41 relapsing−remitting MS patients and 43 age-matched healthy controls were recruited for this study. Overall, we could not find a clear common pattern in the eye motor abnormalities. Vertical eye movement was more impaired in MS patients than horizontal movement. Increased latencies were found in the prosaccades and reflexive saccades of antisaccade tests. The smooth pursuit was impaired with more corrections (backup and catchup movements, p<0.01). No correlation was found between eye movement variables and EDSS or disease duration. Despite significant alterations in the behavior of the eye movements in MS patients, which are compatible with altered cognitive status, there is no common pattern of these alterations. We interpret this as a consequence of the patchy, heterogeneous distribution of white matter involvement in MS that provokes multiple combinations of impairment at different points in the different networks involved in eye motor control. Further studies are therefore required.
Collapse
Affiliation(s)
- Cecilia E. García Cena
- Escuela Técnica Superior de Ingeniería y Diseño Industrial, Centre for Automation and Robotics, ETSIDI-CAR, Universidad Politécnica de Madrid, 28012 Madrid, Spain
| | - David Gómez-Andrés
- Child Neurology Unit, Hospital Universitari Vall d’Hebron, Vall d’Hebron Research Institute (VHIR), Euro-NMD and ERN-RND, 08035 Barcelona, Spain
| | - Irene Pulido-Valdeolivas
- Anatomy, Histology and Neuroscience Department, Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | | | - Angela Domingo-Santos
- Department of Neurology, “La Mancha Centro” General Hospital, Alcázar de San Juan, 13600 Ciudad Real, Spain
| | - Sara Moreno-García
- Department of Neurology, University Hospital “12 de Octubre”, 28041 Madrid, Spain
| | - Julián Benito-León
- Department of Neurology, University Hospital “12 de Octubre”, 28041 Madrid, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28029 Madrid, Spain
- Department of Medicine, Complutense University, 28040 Madrid, Spain
| |
Collapse
|
4
|
Hof S, Loonstra F, de Ruiter L, van Rijn L, Petzold A, Uitdehaag B, Bijvank JN. The prevalence of internuclear ophthalmoparesis in a population-based cohort of individuals with multiple sclerosis. Mult Scler Relat Disord 2022; 63:103824. [DOI: 10.1016/j.msard.2022.103824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/14/2022] [Accepted: 04/21/2022] [Indexed: 11/25/2022]
|