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Mission Statement

The Clinical Neuro-Optic Research Initiative (CNRI) advances the science of pupil-based neurodiagnostics by preserving historic clinical insights, developing modern analytic tools, and conducting rigorous research that explores the relationship between ocular micro-structures and systemic health. Our mission is to validate and expand neuro-optic biomarkers that can support future breakthroughs in early detection, monitoring, and non-invasive assessment of autonomic and neurological function.

Vision

CNRI envisions a future in which standardized neuro-optic biomarkers complement mainstream clinical assessment, enabling earlier detection of health imbalances, more personalized care, and a deeper understanding of the body’s autonomic responses. We aim to become a trusted research institution that bridges historical clinical investigations with modern scientific rigor, ensuring that decades of prior work are not lost but elevated, validated, and expanded using contemporary technology.

Organization

Building on decades of pioneering clinical observations conducted in Russia and Korea during the 1980s–1990s, CNRI integrates modern imaging, pattern recognition, and data-driven methodologies to investigate how subtle pupil irregularities may reflect underlying autonomic and neurological function. CNRI conducts non-invasive human studies, develops analytic frameworks, and collaborates with international researchers to explore the emerging field of neuro-optic biomarkers.

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Detection of Pupillary Parameters

Pupillary Parameters

Numerical data analysis of the iris and pupillary borders – The pupil tonus represented via the ventral and autonomic nervous system. Detection of pupillary ellipses – Total deformations are referred to as ellipses, resulting in the pupil assuming an oval shape. It is hypothesized that the origin of this phenomenon lies within the Central Nervous System and alterations in the Cerebrospinal fluid. When the pupil appears elliptical, it typically indicates a prior involvement of cranial nerves. Detection of pupillary deformations – Under normal conditions, pupils have a regular round shape with even edges. Several types of pupil deformations can be distinguished including Drawing (oval-elliptic forms), Local flatness (sector deformations, parasympathetic innervation), Local Protrusions (sector deformations, sympathetic innervation) and Multiformities.

Collarette (Autonomic Nerve Wreath, ANW) Parameter Definitions and Analytical Framework

The updated algorithm performs structured, sector-based morphometric analysis of the autonomic nerve wreath (ANW), also referred to as the collarette. The system quantifies geometric deviations, radial shifts, sector constrictions, symmetry variance, and inter-structural correlations to generate reproducible research outputs.

A differential of the left eye and right eye neurological pupil...

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Abstract Background: Automated infrared pupillometry (AIP) and the Neurological Pupil index (NPi) provide an objective means of assessing and trending the pupillary light reflex (PLR)...

Comparison of pupillary dynamics to light in the mild traumatic brain...

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Abstract Purpose: To determine if mTBI adversely affects the pupillary light reflex (PLR). Methods: The PLR was evaluated in mTBI and compared to normal individuals under...

A smartphone pupillometry tool for detection of acute large vessel occlusion

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Abstract Objectives: Pupillary light reflex (PLR) parameters can be used as quantitative biomarkers of neurological function. Since digital infrared pupillometry is expensive, we sought to...

Smartphone pupillometry for detection of cerebral vasospasm after aneurysmal subarachnoid hemorrhage

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Abstract Objectives: Vasospasm is a complication of aneurysmal subarachnoid hemorrhage (aSAH) that can change the trajectory of recovery and is associated with morbidity and mortality....

Smartphone pupillometry predicts ischemic penumbra in acute ischemic stroke

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Abstract Background: Recent advances in time-sensitive treatment methods for large vessel occlusion (LVO), including medical and mechanical thrombectomy, have increased the importance of rapid recognition...

Smartphone pupillometry with machine learning differentiates ischemic from hemorrhagic stroke: A...

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Abstract Objectives: Similarities between acute ischemic and hemorrhagic stroke make diagnosis and triage challenging. We studied a smartphone-based quantitative pupillometer for differentiation of acute ischemic...

Eyeing up the Future of the Pupillary Light Reflex in Neurodiagnostics

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Abstract The pupillary light reflex (PLR) describes the constriction and subsequent dilation of the pupil in response to light as a result of the antagonistic...

Pupil and Pupillary Light Reflex

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Abstract Neurological and neurosurgical diseases encompass a broad spectrum of conditions that may present with acute or chronic courses, benign or malignant characteristics, diverse clinical...

Early Pupil Abnormality Frequency Predicts Poor Outcomes in Traumatic Brain Injury

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Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model...

The Clinical Neuro-Optic Research Initiative (CNRI) advances pupil-based neurodiagnostics by preserving historical insights, developing modern analytic tools, and researching links between ocular microstructures and systemic health. Our mission is to validate and expand neuro-optic biomarkers for breakthroughs in early detection, monitoring, and non-invasive assessment of autonomic and neurological function.