{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T23:27:01Z","timestamp":1787009221110,"version":"build-2736575974"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"7-8","license":[{"start":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T00:00:00Z","timestamp":1690156800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Assessments of the pupil\u2019s response to light have long been an integral part of neurologic examinations. More recently, the pupillary light reflex (PLR) has shown promise as a potential biomarker for the diagnosis of mild traumatic brain injury. However, to date, few large-scale normative data are available for comparison and reference, particularly, in military service members. The purpose of this study was to report normative values for eight PLR measurements among healthy service academy cadets based on sex, age, sleep, race, ethnicity, anisocoria, and concussion history.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Freshmen entering a U.S. Service Academy completed a quantitative pupillometric assessment in conjunction with baseline concussion testing. PLR measurements were conducted using a Neuroptics PLR-3000 with a 121\u00a0\u00b5W light stimulus. The device measured maximum and minimum pupil diameter (mm), latency (time to maximum pupil constriction post-light stimulus [s]), peak and average constriction velocity (mm\/s), average dilation velocity (mm\/s), percentage pupil constriction, and T75 (time for pupil re-dilation from minimum pupil diameter to 75% maximum diameter [s]). During baseline testing, cadets also reported concussion history (yes and no) and hours slept the night before (&amp;lt;5.5 and \u22655.5). Normative values for each PLR measurement were calculated as mean\u2009\u00b1\u2009SD, percentiles, and interquartile range. Mann\u2013Whitney U tests were used to assess differences based on sex, concussion history, ethnicity, and hours slept for each PLR measurement. Kruskall\u2013Wallis testing was used to assess differences based on age, race, and anisocoria. Alpha was set at .05 and nonparametric effect sizes (r) were calculated for statistically significant results. Effect sizes were interpreted as no effect (r\u2009&amp;lt;\u2009.1), small (r\u2009\u2265.1\u2013&amp;lt;.3), medium (r\u2009\u2265.3\u2013&amp;lt;.5), or large (r\u2009\u2265\u2009.5). All procedures were reviewed and approved by the local institutional review board and the U.S. Army Human Research Protection Office before the study was conducted. Each subject provided informed consent to participate in the study before data collection.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of the 1,197 participants baselined, 514 cadets (131 female; 18.91\u2009\u00b1\u20090.96\u00a0years) consented and completed a valid baseline pupillometric assessment. Eighty participants reported at least one previous concussion and participants reported an average of 5.88\u2009\u00b1\u20091.63\u2009h slept the previous night. Mann\u2013Whitney U results suggest females had larger initial (z\u2009=\u2009\u22123.240; P\u2009=\u2009.001; r\u2009=\u2009.10) and end pupil diameter (z\u2009=\u2009\u22123.080; P\u2009=\u2009.002; r\u2009=\u2009.10), slower average dilation velocity (z\u2009=\u20093.254; P\u2009=\u2009.001; r\u2009=\u2009.11) and faster T75 values (z\u2009=\u2009\u22123.342; P\u2009=\u2009.001; r\u2009=\u2009.11). Age, sleep, and race stratified by sex, also displayed a significant impact on specific PLR metrics with effect sizes ranging from small to medium, while ethnicity, anisocoria, and concussion history did not display an impact on PLR metrics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study provides the largest population-specific normative values for eight PLR measurements. Initial and end pupil diameter, dilation velocity, and the T75 metrics differed by sex; however, these differences may not be clinically significant as small effect size was detected for all metrics. Sex, age, sleep, and race may impact specific PLR metrics and are worth consideration when performing PLR assessments for mild traumatic brain injury management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/milmed\/usad271","type":"journal-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T19:28:58Z","timestamp":1689794938000},"page":"1593-1602","source":"Crossref","is-referenced-by-count":10,"title":["Normative Values for\u00a0Pupillary Light Reflex Metrics Among Healthy Service Academy Cadets"],"prefix":"10.1093","volume":"189","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1679-2738","authenticated-orcid":false,"given":"Michael J","family":"Aderman","sequence":"first","affiliation":[{"name":"John A. 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