Georgina T F Lynch1, Stephen M James2, Teresa A Cardon3, Sterling M McPherson4. 1. Department of Speech and Hearing Sciences, Elson S. Floyd College of Medicine Washington State University, Spokane, WA, USA. georgina.lynch@wsu.edu. 2. Sleep and Performance Research Center, College of Nursing, Washington State University, Spokane, WA, USA. 3. Department of Speech Language Pathology, Dallas, TX, USA. 4. Department of Community and Behavioral Health, Elson S. Floyd College of Medicine Washington State University, Spokane, WA, USA.
Abstract
INTRODUCTION: Automated hand-held pupillometry demonstrates precision accuracy, offering promise for augmenting ASD screening. METHODS: Monocular pupillometry was examined in children and adolescents (36 ASD; 24 TD). Multiple logistic regression and receiver operating characteristic analysis assessed PLR metrics and diagnostic status. RESULTS: Constriction time (Ct1) (ASD: M = 0.69, SD = 0.21; TD: M = 0.82, SD = 0.18; t(58 = 2.37; p = 0.02) and return to baseline (RTB T75) (ASD: M = 2.93, SD = 1.21; TD: M = 2.32, SD = 1.08; t(58) = - 2.03; p = 0.04) predicted ASD (β = - 1.31, OR = 0.27; RTB T75, β = 0.156, OR = 1.162). Sensitivity = 74.8%, when RTB ≥ 1.83 s and 69.4% when Ct1 = 0.785 s. CONCLUSION: Findings suggest monocular pupillometry captures differences detecting ASD.
INTRODUCTION: Automated hand-held pupillometry demonstrates precision accuracy, offering promise for augmenting ASD screening. METHODS: Monocular pupillometry was examined in children and adolescents (36 ASD; 24 TD). Multiple logistic regression and receiver operating characteristic analysis assessed PLR metrics and diagnostic status. RESULTS: Constriction time (Ct1) (ASD: M = 0.69, SD = 0.21; TD: M = 0.82, SD = 0.18; t(58 = 2.37; p = 0.02) and return to baseline (RTB T75) (ASD: M = 2.93, SD = 1.21; TD: M = 2.32, SD = 1.08; t(58) = - 2.03; p = 0.04) predicted ASD (β = - 1.31, OR = 0.27; RTB T75, β = 0.156, OR = 1.162). Sensitivity = 74.8%, when RTB ≥ 1.83 s and 69.4% when Ct1 = 0.785 s. CONCLUSION: Findings suggest monocular pupillometry captures differences detecting ASD.