Contribution of Eye Movements in Assessment of Deficits and Neurorehabilitation after a Stroke

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurorehabilitation".

Deadline for manuscript submissions: 1 November 2024 | Viewed by 3333

Special Issue Editors


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Guest Editor
1. CNRS Research Director, Neurosciences, LIPADE Laboratory, University of Paris, 75006 Paris, France
2. Leader of the Research Group Eye Analytics & Rehabilitation, Orasis-EAR, 75015 Paris, France
Interests: eye movements; dyslexia; strabismus; tinnitus; vestibular deficits; cognitive impairment
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Guest Editor
Professor of Neurology, College of Medicine, University of Central Florida, Orlando, FL 32827, USA
Interests: neurology; movement disorders; concussion; neuro degeneration; medical education
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Special Issue Information

Dear Colleagues,

Seventeen million people all over the world suffer from strokes every year. Recent epidemiological studies reveal that more than 74% of stroke survivors experience deficits of vision, visual field reduction and eye movement problems that are not addressed. Indeed, 40% of patients do not even have the words to express the problems; it is only young and assertive patients that articulate their visual problems.

Vision relies on eye movements. Eye movements are fast, and their abnormalities cannot be assessed via bedside naked eye examination. Eye movements are important for vision, space perception, cognition, attention, body equilibrium, posture and control of any motor activity. Stroke can affect different neural circuits involved in programming and generating eye movements. Consequently, it is important to perform thorough examination of all types of eye movements—saccades, vergence, fixations, vestibulo-ocular eye movements, etc.—to assess such problems, including eye movements during reading or visual search tasks. Importantly, all types of eye movements are gifted with neuroplasticity and can be improved via specific training or even completely restored.

At this stage, eye movement neuro training in stroke patients is almost nonexistent. The purpose of this Special Issue is to bring together existing studies on eye movement functional exploration and rehabilitation in stroke patients. It aims to highlight the benefits of such approaches but also address the urgency to develop further everyday clinic eye movement neuro training in such patients and even prioritize treating eye movements first, as it will further enhance all other therapeutic approaches applied.

Indeed, rehabilitation in stroke patients includes a variety of techniques:

physical therapy (PT), occupational therapy (OT), speech–language therapy (SLT), constraint-induced movement therapy (CIMT), robot-assisted therapy, mirror Therapy, virtual reality (VR), rehabilitation, electrical stimulation (ES), cognitive rehabilitation, aquatic therapy, neurodevelopmental treatment (NDT), music therapy, task-specific training, community-based rehabilitation, etc.

However, eye movement neuro training is missing among these techniques. The goal is to bridge this gap and open new opportunities for clinical science and patient treatment.

Dr. Zoi Kapoula
Prof. Dr. Frederick Robert Carrick
Guest Editors

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Keywords

  • eye movements (saccades, vergence, vestibular, optokinetic)
  • visual deficits (hemineglect, hemianopsia, scotoma)
  • eye movement training
  • attention
  • equilibrium
  • spasticity
  • quality of life
  • cognitive executive functions
  • AI machine
  • deep learning

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Published Papers (2 papers)

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23 pages, 1499 KiB  
Article
Age-Based Developmental Biomarkers in Eye Movements: A Retrospective Analysis Using Machine Learning
by Melissa Hunfalvay, Takumi Bolte, Abhishek Singh, Ethan Greenstein, Nicholas P. Murray and Frederick Robert Carrick
Brain Sci. 2024, 14(7), 686; https://doi.org/10.3390/brainsci14070686 - 9 Jul 2024
Viewed by 1107
Abstract
This study aimed to identify when and how eye movements change across the human lifespan to benchmark developmental biomarkers. The sample size comprised 45,696 participants, ranging in age from 6 to 80 years old (M = 30.39; SD = 17.46). Participants completed [...] Read more.
This study aimed to identify when and how eye movements change across the human lifespan to benchmark developmental biomarkers. The sample size comprised 45,696 participants, ranging in age from 6 to 80 years old (M = 30.39; SD = 17.46). Participants completed six eye movement tests: Circular Smooth Pursuit, Horizontal Smooth Pursuit, Vertical Smooth Pursuit, Horizontal Saccades, Vertical Saccades, and Fixation Stability. These tests examined all four major eye movements (fixations, saccades, pursuits, and vergence) using 89 eye-tracking algorithms. A semi-supervised, self-training, machine learning classifier was used to group the data into age ranges. This classifier resulted in 12 age groups: 6–7, 8–11, 12–14, 15–25, 26–31, 32–38, 39–45, 46–53, 54–60, 61–68, 69–76, and 77–80 years. To provide a descriptive indication of the strength of the self-training classifier, a series of multiple analyses of variance (MANOVA) were conducted on the multivariate effect of the age groups by test set. Each MANOVA revealed a significant multivariate effect on age groups (p < 0.001). Developmental changes in eye movements across age categories were identified. Specifically, similarities were observed between very young and elderly individuals. Middle-aged individuals (30s) generally showed the best eye movement metrics. Clinicians and researchers may use the findings from this study to inform decision-making on patients’ health and wellness and guide effective research methodologies. Full article
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11 pages, 2408 KiB  
Article
Immersive Virtual Reality for Treatment of Unilateral Spatial Neglect via Eye-Tracking Biofeedback: RCT Protocol and Usability Testing
by Alex Martino Cinnera, Valeria Verna, Matteo Marucci, Aurora Tavernese, Luisa Magnotti, Alessandro Matano, Chiara D’Acunto, Stefano Paolucci, Giovanni Morone, Viviana Betti and Marco Tramontano
Brain Sci. 2024, 14(3), 283; https://doi.org/10.3390/brainsci14030283 - 15 Mar 2024
Cited by 1 | Viewed by 1909
Abstract
About one-third of stroke survivors present unilateral spatial neglect (USN) that negatively impacts the rehabilitation outcome. We reported the study protocol and usability results of an eye-tracking (ET) biofeedback immersive virtual reality (iVR) protocol. Healthy controls and stroke patients with and without USN [...] Read more.
About one-third of stroke survivors present unilateral spatial neglect (USN) that negatively impacts the rehabilitation outcome. We reported the study protocol and usability results of an eye-tracking (ET) biofeedback immersive virtual reality (iVR) protocol. Healthy controls and stroke patients with and without USN underwent a single session of the three iVR tasks. The system usability scale (SUS), adverse events (AEs), and ET data were collected and analyzed via parametric analysis. Twelve healthy controls (six young adults and six older adults) and seven patients with a diagnosis of single ischemic stroke (four without USN and three with confirmed diagnosis of USN) completed the usability investigation. SUS results showed good acceptability of the system for healthy controls and stroke patients without USN. ET results showed a lower performance for patients with USN concerning healthy controls and stroke patients without USN, in particular in the exploration of the left visual field. The results showed that the proposed iVR-ET biofeedback protocol is a safe and well-tolerated technique in patients with USN. The real-time feedback can induce a performance response supporting its investigation such as a treatment approach. Full article
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