Evidence

A decade-plus evidence base for task-evoked cognitive measurement

RETINA builds on federally funded research across attention, cognitive load, performance validity, military TBI, MRI-linked biology, and headset-based deployment.

RetinaTek's technology was not created as a wellness gadget or generic eye-tracking demo. RETINA emerged from a long-running scientific program focused on objective, repeatable measurement of cognitive performance under controlled task demands. The studies summarized here support the RETINA platform and future clinical-development work; they are not current RT-Focus diagnostic or disease-monitoring claims.

A cognitive performance report dashboard with charts and data quality metrics.

The evidence map

The published science behind RETINA supports a layered evidence case: first establishing that task-evoked eye and response metrics index cognitive function, then showing sensitivity to impairment under load, performance-validity utility, biological plausibility, and deployment feasibility.

1

Construct validity

What the studies support

Task-evoked eye and manual response metrics can index attention, inhibition, processing speed, consistency, and cognitive control.

Why it matters

This separates RetinaTek from passive gaze tracking and simple reaction-time tasks.

2

Cognitive load sensitivity

What the studies support

Published RETINA-related studies have shown that cognitively demanding oculomotor tasks can reveal neurocognitive performance patterns associated with TBI history, injury severity, and recovery-related research measures.

Why it matters

The value is not just measuring whether someone can complete a task. It is measuring how efficiently the brain controls performance when demand increases.

3

Performance validity and data integrity

What the studies support

Multimodal eye and manual response data can help identify low-effort, invalid, or non-interpretable performance patterns in published simulated-impairment research.

Why it matters

Confidence in cognitive assessment depends on knowing whether the result is usable and interpretable.

4

MRI-linked biology

What the studies support

RETINA-related metrics have been associated with DTI white matter findings in military TBI research.

Why it matters

MRI-linked findings help connect task performance to brain biology and strengthen the rationale for future clinical-development work.

5

Headset feasibility

What the studies support

Head-mounted prototypes have demonstrated feasibility, tolerability, and favorable usability in military research settings.

Why it matters

The measurement approach is not trapped in a lab-grade eye tracker. It can move toward scalable deployment on commercial headset hardware.

Featured findings

74.7%

Multimodal signal in chronic mTBI research

Published RETINA-related chronic mTBI research reported that a combination of multimodal assessment metrics distinguished military research participants with chronic mild TBI from controls with a 74.7% classification signal.

This is RETINA platform evidence from research settings. It does not constitute a current RT-Focus diagnostic, screening, or disease-monitoring claim.

AUC 0.99

Embedded validity indicators

Published simulated-impairment research found that embedded saccadic and manual response indices could classify best-effort versus simulated low-effort performance with very high accuracy.

This finding supports the value of multimodal data-integrity checks, not a guarantee that all invalid clinical performance can be detected.

DTI-linked

White matter associations

In military TBI research, RETINA-related task-evoked saccadic variability and working-memory-related metrics were associated with DTI white matter findings across distributed brain regions.

These associations support biological plausibility and future clinical-development rationale. They do not establish RT-Focus as a current imaging-equivalent, TBI, or concussion diagnostic or monitoring product.

VR feasible

Head-mounted deployment

Head-mounted RETINA prototypes have demonstrated feasibility and tolerability in active-duty military research settings, supporting the transition from lab systems toward scalable commercial deployment.

Future commercial and clinical deployments remain subject to product configuration, validation, and use context.

Why measurement under load matters

Standard cognitive screens often measure whether a person can complete a task. RETINA measures how efficiently the brain controls performance while the task becomes cognitively demanding.

Conventional cognitive tools can be influenced by age, education, motor speed, effort, mood, and compensation strategies. RETINA adds synchronized eye movements, pupil dynamics, manual responses, and task timing to capture performance patterns that may be missed when only overt task completion is measured.

This is the central scientific premise behind task-evoked neurocognitive measurement: subtle impairment may become more visible when the brain is required to sustain attention, inhibit distraction, manage competing cues, or respond consistently over time.

MRI-linked biology

A biological bridge: task performance and white matter integrity

One of RetinaTek's most important scientific differentiators is the published research connection between RETINA-related task-evoked performance metrics and MRI-based measures of white matter organization.

In military TBI research, RETINA-related metrics such as saccadic response-time variability and working-memory performance showed stronger and more distributed associations with DTI white matter findings than conventional cognitive scores or self-reported symptoms. These findings support biological plausibility for the RETINA platform and future clinical-development work.

What the evidence supports today

Supported by current evidence

  • Task-evoked multimodal metrics are scientifically grounded.
  • Published studies support measurement of attention, inhibition, processing speed, consistency, cognitive load, and response control.
  • Published research supports sensitivity to performance patterns associated with TBI history and injury severity in research settings.
  • Multimodal response data can support performance-validity and data-integrity assessment.
  • MRI-linked findings support biological plausibility.
  • Headset-based deployment has shown feasibility in military research settings.

Not claimed today

  • RETINA is not currently FDA-cleared, FDA-approved, or authorized for diagnostic use.
  • Published research does not replace future prospective validation for specific clinical claims.
  • The technology does not replace clinician judgment.
  • Disease-specific diagnostic or monitoring claims require appropriate validation and regulatory clearance.
  • RT-Focus is a planned supervised cognitive performance assessment and should not be presented as a diagnostic, screening, or disease-monitoring product.

Published research

The RETINA evidence base includes peer-reviewed publications across foundational measurement science, performance validity, cognitive load, military TBI, pupillometry, and MRI-linked biology.

Foundational measurement science

Ettenhofer, M. L., Hershaw, J., & Barry, D. M. (2016).

Multi-Modal Assessment of Visual Attention Using the Bethesda Eye & Attention Measure (BEAM).

Journal of Clinical and Experimental Neuropsychology, 38(1), 96-110.

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Ettenhofer, M. L., & Barry, D. M. (2016).

Saccadic Impairment Associated With Remote History of Mild Traumatic Brain Injury.

Journal of Neuropsychiatry and Clinical Neurosciences, 28(3), 223-231.

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Performance validity and data integrity

Barry, D. M., & Ettenhofer, M. L. (2016).

Assessment of Performance Validity Using Embedded Saccadic and Manual Indices on a Continuous Performance Test.

Archives of Clinical Neuropsychology, 31(8), 963-975.

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Cognitive load and TBI sensitivity

Hershaw, J. N., Barry, D. M., & Ettenhofer, M. L. (2017).

Increased Risk for Age-Related Impairment in Visual Attention Associated With Mild Traumatic Brain Injury: Evidence From Saccadic Response Times.

PLOS ONE, 12(2), e0171752.

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Ettenhofer, M. L., Hershaw, J. N., Engle, J. R., & Hungerford, L. D. (2018).

Saccadic Impairment in Chronic Traumatic Brain Injury: Examining the Influence of Cognitive Load and Injury Severity.

Brain Injury, 32(14), 1740-1748.

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Ettenhofer, M. L., Gimbel, S. I., & Cordero, E. (2020).

Clinical Validation of an Optimized Multimodal Neurocognitive Assessment of Chronic Mild TBI.

Annals of Clinical and Translational Neurology.

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Ettenhofer, M. L., Hungerford, L. D., & Agtarap, S. (2021).

Multi-Modal Neurocognitive Screening of Military Personnel With a History of Mild Traumatic Brain Injury Using the Bethesda Eye & Attention Measure.

Journal of Head Trauma Rehabilitation, 36(6), 447-455.

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Hungerford, L. D., Agtarap, S., & Ettenhofer, M. L. (2023).

Impact of Depression and Posttraumatic Stress on Manual and Oculomotor Performance in Service Members With a History of Mild TBI.

Brain Injury, 37(8), 680-688.

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Pupillometry and cognitive load

Hershaw, J. N., & Ettenhofer, M. L. (2018).

Insights Into Cognitive Pupillometry: Evaluation of the Utility of Pupillary Metrics for Assessing Cognitive Load in Normative and Clinical Samples.

International Journal of Psychophysiology, 134, 62-78.

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MRI-linked biology

Gimbel, S. I., Hungerford, L. D., Twamley, E. W., & Ettenhofer, M. L. (2024).

White Matter Organization and Cortical Thickness Differ Among Active Duty Service Members With Chronic Mild, Moderate, and Severe Traumatic Brain Injury.

Journal of Neurotrauma, 41(7-8), 818-835.

Research settings and collaborators

RETINA-related research has been conducted or supported across military treatment facilities, veteran healthcare facilities, academic medical centers, and military research units.

Research setting

Military treatment facilities

  • Naval Medical Center San Diego
  • Womack Army Medical Center
  • San Antonio Military Medical Center
  • Naval Hospital Camp Pendleton
Research setting

Veteran healthcare facilities

  • VA San Diego
  • VA Washington DC
  • VA Portland
  • VA Minneapolis
Research setting

Academic and rehabilitation centers

  • Uniformed Services University
  • University of California San Diego
  • NIH Clinical Center
  • Kessler Institute/Foundation for Rehabilitation
Research setting

Military research units

  • Naval Health Research Center
  • Army Research Labs
  • Navy Research Labs

Need objective neurocognitive endpoints?

RetinaTek works with research teams, clinical-development partners, and strategic collaborators interested in objective, repeatable measurement of cognitive performance under controlled task demands.