Evidence map›Paper›PMID 41665706›Full record

ReviewJournal of neurology2026

Eye tracking as a digital biomarker in neurodegenerative diseases.

Paul S Giacomini, Patrice Voss, Virginia Devonshire, Raphael Schneider, Gabrielle Macaron, Shamiza Hussein, François Blanchette, Étienne de Villers-Sidani

Abstract readReview
In one paragraph

Review in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Paul S GiacominiMontreal Neurological Institute, Multiple Sclerosis Clinic, Montreal, QC, Canada. paul.giacomini@innodemneurosciences.com.ORCID http://orcid.org/0000-0002-1346-3042
Patrice VossInnodem Neurosciences, Montreal, QC, Canada.
Virginia DevonshireDivision of Neurology, University of British Columbia, Vancouver, BC, Canada.
Raphael SchneiderBARLO MS Centre, St. Michael's Hospital, Toronto, ON, Canada.
Gabrielle MacaronDepartment of Neurology, Centre de Recherche, Centre Hospitalier de L'Université de Montréal, Montreal, QC, Canada.
Shamiza HusseinNovartis Pharmaceuticals Canada Inc, Montreal, QC, Canada.
François BlanchetteNovartis Pharmaceuticals Canada Inc, Montreal, QC, Canada.
Étienne de Villers-SidaniMontreal Neurological Institute, Multiple Sclerosis Clinic, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oculomotor abnormalities are a common finding in neurodegenerative diseases due to degeneration of neural pathways and brain regions involved in controlling eye movements. Pathological changes to the dorsolateral prefrontal cortex, basal ganglia, superior colliculus and cerebellum produce subtle changes in eye-movement metrics that may not be detected by clinical examination. The present review addresses the potential use of eye-movement biomarkers in neurodegenerative conditions such as multiple sclerosis, Parkinson's disease, Alzheimer's disease and other dementias, and amyotrophic lateral sclerosis. Eye-movement metrics such as saccades, anti-saccades, fixation and smooth pursuit are prognostic of disease progression, can differentiate pathologic subtypes as an aid to diagnosis, and enable clinicians to evaluate early worsening of motor and cognitive function. The cost of medical technologies limits their optimal use and accessibility in clinical practice. The shortage of subspecialist neurologists further limits access to care. New eye-tracking technologies incorporated into widely-accessible digital devices such as smart phones and tablets now permit detailed assessments with minimal equipment requirements, providing an important non-invasive and potentially cost-effective method for patient evaluation in routine clinical practice and as an aid to treatment decision-making. Digital biomarkers can be readily employed by healthcare professionals such as family physicians, nurses and pharmacists to bridge the care gaps, potentially providing them with powerful tools that can be broadly adopted to improve the delivery of care to patients with neurodegenerative conditions.

Indexed as

Eye-Tracking TechnologyNeurodegenerative DiseasesBiomarkersHumansBiomarkersAlzheimer’s diseaseDigital biomarkersEye movementsMultiple sclerosisNeurodegenerative diseasesOculomotorParkinson’s disease

Identifiers

PMID41665706
PMCPMC12891262

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.