Evidence map›Paper›PMID 42352599›Full record

ReviewBrain sciences2026

Eye-Tracking Assessment in Patients with Disorders of Consciousness: A Systematic Review.

Anna Estraneo, Lorenza Marcello, Francesca Mancino, Alessia De Feo, Andrea Soricelli, Monica Franzese, Carlo Cavaliere

Abstract readReview
In one paragraph

Review in Brain sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Anna EstraneoFondazione Don Gnocchi, ONLUS, 83054 Sant'Angelo dei Lombardi, Italy.ORCID 0000-0001-6646-5626
Lorenza MarcelloLaboratory of Neuronal Networks Morphology and Systems Biology, Department o f Mental, Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.
Francesca MancinoIRCCS SYNLAB SDN, Via E. Gianturco 113, 80137 Naples, Italy.
Alessia De FeoIRCCS SYNLAB SDN, Via E. Gianturco 113, 80137 Naples, Italy.
Andrea SoricelliIRCCS SYNLAB SDN, Via E. Gianturco 113, 80137 Naples, Italy.
Monica FranzeseIRCCS SYNLAB SDN, Via E. Gianturco 113, 80137 Naples, Italy.ORCID 0000-0002-6490-7694
Carlo CavaliereIRCCS SYNLAB SDN, Via E. Gianturco 113, 80137 Naples, Italy.ORCID 0000-0002-3297-2213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesDisorders of consciousness (DOC), including vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS), present significant diagnostic challenges. Misdiagnosis rates approach 40%, often due to limitations in detecting subtle behavioural responses through clinical observation alone. Eye-tracking technology offers objective, quantitative assessment of visual behaviours that may reveal covert signs of consciousness. This systematic review aimed to evaluate the diagnostic accuracy of eye-tracking technology compared to the Coma Recovery Scale-Revised (CRS-R) for detecting visual responses and consciousness signs in patients with DOC; to examine stimulus effects; and to assess prognostic value.

methodsA systematic literature search was conducted across SciSpace, Google Scholar, PubMed, and institutional libraries following PRISMA 2020 guidelines. Eligibility criteria specified studies involving patients with prolonged DOC assessed using eye-tracking technology. Data extraction, risk of bias assessment, and GRADE certainty evaluation were conducted systematically.

resultsFifteen studies (n = 4-123 patients; published 2012-2025) were included. Eye-tracking detected visual responses in significantly more patients than clinical observation alone (46.2% vs. 18.1% in one study). Mirror stimuli demonstrated the highest detection sensitivity (97% vs. 69% for person and 57% for object). Affectively salient stimuli elicited stronger tracking responses in patients with MCS (37.3% vs. 29.9-30.6% neutral). Advanced VR-based systems achieved high diagnostic accuracy (sensitivity 100%, specificity 88.9%) with prognostic value (overt tracking predicting 62.5% command-following at one year). GRADE certainty was Low for detection rates and diagnostic discrimination, and Very Low for sensitivity, specificity, and prognostic outcomes.

conclusionsEye-tracking provides objective, sensitive assessment of visual behaviours in patients with DOC and may reduce misdiagnosis rates, supporting a conditional recommendation for its use as a supplementary assessment tool alongside CRS-R. Methodological heterogeneity, small sample sizes, and absence of blinding limit certainty. Adequately powered, multicentre prospective studies are urgently needed.

Indexed as

CRS-Rdisorders of consciousnesseye-trackingminimally conscious stateunresponsive wakefulness syndromevisual pursuit

Identifiers

PMID42352599
PMCPMC13297577

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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.