Yanjun Chen1, Scott Hetzel2, Alex A Pinto3, Adam J Paulsen3, Carla R Schubert3, Laura M Hancock4, Barbara E Klein3, Natascha Merten5, Karen J Cruickshanks3,5. 1. Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin, 2880 University Ave, Suite 108B, Madison, WI, 53703, USA. ychen344@wisc.edu. 2. Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA. 3. Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin, 2880 University Ave, Suite 108B, Madison, WI, 53703, USA. 4. Department of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA. 5. Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Abstract
AIMS: The evidence relating the pupil light reflex (PLR) and cognition have been inconsistent. In this cross-sectional study, we evaluated the association between the PLR and cognition in community-dwelling middle-aged and older individuals. METHODS: Pupil reactivity was recorded in a subgroup of 403 participants (mean age 60.7 years, 57.3% females) in an epidemiologic study of aging. Ten pupil parameters were calculated to describe pupil constriction to light stimuli. A principal component analysis (PCA) score was used to calculate an overall performance over four cognitive testings. Linear regression was used to assess the association between pupil parameters and PCA scores, adjusting for age, sex, education, medications, health-related quality of life questionnaire, and systemic and ocular comorbidities. RESULTS: The PCA scores decreased by 0.039 [95% CI (- 0.050, - 0.028)] per year increase in age and were lower in males than females by 0.76 [95% CI (- 0.96, - 0.55)] (p < 0.001). Pupil constriction amplitude in millimeters and the duration from stimulus onset to maximal constriction velocity were significantly associated with cognition after adjusting for (1) age and sex and (2) age, sex, and multiple covariates (p < 0.05). CONCLUSIONS: In this study, we provided moderate evidence suggesting the association between PLR and neuropsychological cognitive measures. The findings suggest the potential of pupil reactivity to serve as a biomarker of brain aging and warrant further longitudinal study to assess if changes in the PLR can predict cognitive decline over time.
AIMS: The evidence relating the pupil light reflex (PLR) and cognition have been inconsistent. In this cross-sectional study, we evaluated the association between the PLR and cognition in community-dwelling middle-aged and older individuals. METHODS: Pupil reactivity was recorded in a subgroup of 403 participants (mean age 60.7 years, 57.3% females) in an epidemiologic study of aging. Ten pupil parameters were calculated to describe pupil constriction to light stimuli. A principal component analysis (PCA) score was used to calculate an overall performance over four cognitive testings. Linear regression was used to assess the association between pupil parameters and PCA scores, adjusting for age, sex, education, medications, health-related quality of life questionnaire, and systemic and ocular comorbidities. RESULTS: The PCA scores decreased by 0.039 [95% CI (- 0.050, - 0.028)] per year increase in age and were lower in males than females by 0.76 [95% CI (- 0.96, - 0.55)] (p < 0.001). Pupil constriction amplitude in millimeters and the duration from stimulus onset to maximal constriction velocity were significantly associated with cognition after adjusting for (1) age and sex and (2) age, sex, and multiple covariates (p < 0.05). CONCLUSIONS: In this study, we provided moderate evidence suggesting the association between PLR and neuropsychological cognitive measures. The findings suggest the potential of pupil reactivity to serve as a biomarker of brain aging and warrant further longitudinal study to assess if changes in the PLR can predict cognitive decline over time.
Authors: Thomas J Montine; Elaine R Peskind; Joseph F Quinn; Angela M Wilson; Kathleen S Montine; Douglas Galasko Journal: Neuromolecular Med Date: 2010-07-15 Impact factor: 3.843
Authors: William S Kremen; Matthew S Panizzon; Jeremy A Elman; Eric L Granholm; Ole A Andreassen; Anders M Dale; Nathan A Gillespie; Daniel E Gustavson; Mark W Logue; Michael J Lyons; Michael C Neale; Chandra A Reynolds; Nathan Whitsel; Carol E Franz Journal: Neurobiol Aging Date: 2019-09-09 Impact factor: 4.673
Authors: Yanjun Chen; Alex A Pinto; Adam J Paulsen; Carla R Schubert; Laura M Hancock; Barbara E Klein; Ron Klein; Karen J Cruickshanks Journal: Front Neurol Date: 2019-06-26 Impact factor: 4.003