Eye-Tracking Monitoring of Neurological and Psychiatric Conditions Across Life Span

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

Deadline for manuscript submissions: 20 July 2025 | Viewed by 783

Special Issue Editors


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Guest Editor
Institute for Computer Science, University of Buenos Aires, Buenos Aires 1428, Argentina
Interests: cognitive neuroscience; eye-tracking; computational models; electroencephalography; executive functions disorders; executive functions development
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Special Issue Information

Dear Colleagues,

Eye tracking has emerged as a pivotal tool in the study of neurological and psychiatric conditions across a person’s life span. This methodology has evolved to provide precise insights into cognitive processes, allowing us to enhance our understanding of various conditions, from developmental disorders (such as autism spectrum disorder) to cognitive decline in multiple sclerosis, mild cognitive impairment or dementias.

The aim of this Special Issue is to explore the application of eye-tracking technologies in the monitoring and assessment of neurological and psychiatric conditions throughout the human life span. We are interested in fostering knowledge about the complex relationship between eye movements and cognitive–emotional processing by investigating how these dynamics change in response to various neurological and psychiatric conditions.

We invite the submissions of empirical studies, theoretical reviews, and methodological advancements. Papers may address diverse topics such as the use of eye tracking in diagnosing and monitoring neurological and/or psychiatric conditions, identifying digital biomarkers relevant to specific disorders, exploring the developmental trajectory of eye movement patterns, or implementing therapeutic interventions driven by eye-tracking data.

This Special Issue aims to foster a deeper understanding of how eye tracking can contribute to both basic and clinical neuroscience, ultimately paving the way for innovative strategies in diagnosis and treatment.

We encourage researchers from diverse disciplines to contribute their findings and insights, promoting a comprehensive dialogue on this burgeoning field.

Dr. Marco Cavallo
Dr. Juan Esteban Kamienkowski
Guest Editors

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Keywords

  • gaze patterns
  • eye tracking
  • mild cognitive impairment
  • multiple sclerosis
  • neurodevelopmental disorders
  • saccades

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Published Papers (1 paper)

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Review

17 pages, 853 KiB  
Review
Eye-Tracking Metrics as a Digital Biomarker for Neurocognitive Disorders in Multiple Sclerosis: A Scoping Review
by Sonja Cecchetti, Andrew T. Duchowski and Marco Cavallo
Brain Sci. 2025, 15(2), 149; https://doi.org/10.3390/brainsci15020149 - 31 Jan 2025
Viewed by 378
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 [...] Read more.
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. Full article
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