Skip to main content

Advertisement

Log in

Factors influencing the pupillary light reflex in healthy individuals

  • Neurophthalmology
  • Published:
Graefe's Archive for Clinical and Experimental Ophthalmology Aims and scope Submit manuscript

Abstract

Purpose

To determine the ocular anatomical factors influencing the pupillary light reactions to different wavelengths of light, measured with chromatic pupillometry.

Methods

Community-based, cross-sectional study including subjects with normal ocular health (ages 50–79 years). Direct pupillary responses to continuously increasing irradiances (6.8 to 13.8 log photons cm−2 s−1) of red (631 nm) and blue (469 nm) light were measured, using a dedicated infrared pupillometer. All subjects underwent swept source optical coherence tomography (SS-OCT, CASIA SS-1000, Tomey Corporation, Nagoya, Japan) and noncontact partial coherence laser interferometry (Lenstar LS900, Haag-Streit AG, Switzerland). Univariate and multivariable regression analyses were performed to determine the anatomical features influencing pupillographic parameters.

Results

Among the 177 included subjects, 167 (94.4 %) were Chinese and 116 (65.5 %) female. The average baseline pupil diameter in darkness (β = −0.080, p < 0.001) and the amplitude of the relative pupillary constriction (β = −0.233, p = 0.006) to blue light decreased with age. The amplitude of pupillary constriction was significantly larger in patients with a thinner iris, in response to stimulation with blue (β = −0.321, p < 0.001) and red light (β = −0.336, p < 0.001). Other ocular parameters (i.e., lens vault, anterior chamber depth width, iris volume, iris curvature, and lens thickness) were not significantly associated with pupillometric outcomes.

Conclusions

The amplitude of the pupillary light constriction to chromatic photic stimuli is reduced with increasing age and iris thickness in subjects with normal ocular health, a finding which needs to be integrated into future pupillometric studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Hattar S, Kumar M, Park A, Tong P, Tung J, Yau KW, Berson DM (2006) Central projections of melanopsin-expressing retinal ganglion cells in the mouse. J Comp Neurol. 20;497(3):326–49

  2. Kankipati L, Girkin CA, Gamlin P (2010) Post-illumination pupil response in subjects without ocular disease. Invest Ophthalmol Vis Sci 51:2764–2769

    Article  PubMed  PubMed Central  Google Scholar 

  3. Girkin CA (2003) Evaluation of the pupillary light response as an objective measure of visual function. Ophthalmol Clin N Am 16(2):143–153

    Article  Google Scholar 

  4. Wyatt HJ, Musselman JF (1981) Pupillary light reflex in humans: evidence for an unbalanced pathway from nasal retina, and for signal cancellation in brain-stem. Vis Res 21(4):513–525

    Article  CAS  PubMed  Google Scholar 

  5. Lowenstein O, Lowenfeld IE (1969) The pupil. In: Davson H (ed) The eye. Academic, New York, pp 255–337

    Google Scholar 

  6. Fry GA (1945) The relation of pupil size to accommodation and convergence. Am J Optom 22:451–465

    Article  Google Scholar 

  7. Frederick W, Kerr L, Hollowell OW (1964) Location of pupillomotor and accommodation fibres in the oculomotor nerve: experimental observations on paralytic mydriasis. J Neurol Neurosurg Psychiatr 27(5):473–481

    Article  Google Scholar 

  8. Hess EH (1972) Pupillometrics: a method of studying mental, emotional, and sensory processes. In: Greenfield NS, Sturnbach RA (eds) Handbook of psychophysiology. Holt, Reinhardt and Winston, New York, pp 491–534

    Google Scholar 

  9. Binda P, Murray SO (2015) Keeping a large-pupilled eye on high-level visual processing. Trends Cogn Sci 19(1):1–3

    Article  PubMed  Google Scholar 

  10. Smith SA (1992) Pupil function: tests and disorders. In: Bannister R, Mathias CJ (eds) Autonomic failure, 3rd edn. Oxford University Press, Oxford, pp 393–412

    Google Scholar 

  11. Loewenfeld IE (1993) The pupil: anatomy, physiology, and clinical applications. Iowa State University Press/Amos Wayne State University Press, Detroit, pp 407–479, 498–517, 1131–1187, 1200–1203

    Google Scholar 

  12. Herbst K, Sander B, Lund-Andersen H, Broendsted AE, Kessel L, Hansen MS, Kawasaki A (2012). Intrinsically photosensitive retinal ganglion cell function in relation to age: a pupillometric study in humans with special reference to the age-related optic properties of the lens. BMC Ophthalmol 12:4

    Article  PubMed  PubMed Central  Google Scholar 

  13. Chylack LT Jr, Wolfe JK, Singer DM, Leske MC, Bullimore MA, Bailey IL, Friend J, McCarthy D, Wu SY (1993) The lens opacities classification system III. The Longitudinal Study of Cataract Study Group. Arch Ophthalmol 111(6):831–836

    Article  PubMed  Google Scholar 

  14. Leung CK, Weinreb RN (2011) Anterior chamber angle imaging with optical coherence tomography. Eye (Lond) 25(3):261–267

    Article  Google Scholar 

  15. Nongpiur ME, Sakata LM, Friedman DS et al (2010) Novel association of smaller anterior chamber width with angle closure in Singaporeans. Ophthalmology 117:1967–1973

    Article  PubMed  Google Scholar 

  16. Nongpiur ME, He MG, Amerasinghe N et al (2011) Lens vault, thickness and position in Chinese subjects with angle closure. Ophthalmology 118:474–479

    Article  PubMed  Google Scholar 

  17. Wang BS, Sakata LM, Friedman DS et al (2010) Quantitative iris parameters and association with narrow angles. Ophthalmology 117(1):11–17

    Article  PubMed  Google Scholar 

  18. Gooley JJ, Ho Mien I, St Hilaire MA et al (2012) Melanopsin and rod-cone photoreceptors play different roles in mediating pupillary light responses during exposure to continuous light in humans. J Neurosci 32:14242–14253

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Gooley JJ, Rajaratnam SM, Brainard GC, Kronauer RE, Czeisler CA, Lockley SW (2010) Spectral responses of the human circadian system depend on the irradiance and duration of exposure to light. Sci Transl Med 2(31):31ra33

    Article  PubMed  PubMed Central  Google Scholar 

  20. Ortube MC, Kiderman A, Eydelman Y, Yu F, Aguilar N, Nusinowitz S, Gorin MB (2013) Comparative regional pupillography as a noninvasive biosensor screening method for diabetic retinopathy. Invest Ophthalmol Vis Sci 54(1):9–18

  21. Herbst K, Sander B, Lund-Andersen H, Wegener M, Hannibal J, Milea D (2013) Unilateral anterior ischemic optic neuropathy: chromatic pupillometry in affected, fellow non-affected and healthy control eyes. Front Neurol 4:52

  22. Nissen C, Rönnbäck C, Sander B, Herbst K, Milea D, Larsen M, Lund-Andersen H (2015) Dissociation of pupillary post-illumination responses from visual function in confirmed OPA1 c.983A > G and c.2708_2711delTTAG autosomal dominant optic atrophy. Front Neurol 6:5

    Article  PubMed  PubMed Central  Google Scholar 

  23. Tatham AJ, Meira-Freitas D, Weinreb R, Zangwill LM, Medeiros FA (2014) Detecting glaucoma using automated pupillography. Ophthalmology 121(6):1185–1193

    Article  PubMed  PubMed Central  Google Scholar 

  24. Kankipati L, Girkin CA, Gamlin PD (2011) The post-illumination pupil response is reduced in glaucoma patients. Invest Ophthalmol Vis Sci 52:2287–2292

    Article  PubMed  PubMed Central  Google Scholar 

  25. Chang DS, Xu L, Boland MV, Friedman DS (2013) Accuracy of pupil assessment for the detection of glaucoma. Ophthalmology 120(11):2217–2225

    Article  PubMed  Google Scholar 

  26. Aptel F, Denis P (2010) Optical coherence tomography quantitative analysis of iris volume changes after pharmacologicmydriasis. Ophthalmology 117(1):3–10

    Article  PubMed  Google Scholar 

  27. Zheng C, Cheung CY, Aung T, Narayanaswamy AK, Ong SH, Friedman DS, Allen JC, Baskaran M, Chew PT, Perera S (2012) In vivo analysis of vectors involved in pupil constriction in Chinese subjects with angle closure. Invest Ophthalmol Vis Sci 53(11):6756–6762

    Article  PubMed  Google Scholar 

  28. Zheng C, Guzman CP, Cheung CY, He Y, Friedman DS, Ong SH, Narayanaswamy AK, Chew PT, Perera SA, Aung T (2013) Analysis of anterior segment dynamics using anterior segment optical coherence tomography before and after laser peripheral iridotomy. JAMA Ophthalmol 131(1):44–49

    Article  PubMed  Google Scholar 

  29. Fotiou DF, Brozou CG, Tsiptsios DJ et al (2007) Effect of age on pupillary light reflex: evaluation of pupil mobility for clinical practice and research. Electroyogr Clin Neurophysiol 47(1):11–22

    CAS  Google Scholar 

  30. Pfeifer MA, Weinberg CR, Cook D, Best JD, Reenan A, Halter JB (1983) Differential changes of autonomic nervous system function with age in man. Am J Med 75(2):249–258

    Article  CAS  PubMed  Google Scholar 

  31. Lowenfeld IE (1979) Pupillary changes related to age. In: Topics in Neuro-Ophthalmology. Williams & Wilkins, Baltimore, pp 124–150

    Google Scholar 

  32. Bistosis P, Prettyman R, Szabadi E (1996) Changes in autonomic function with age: a study of pupillary kinetics in healthy young and old people. Age Ageing 25:432–438

    Article  Google Scholar 

  33. Pokorny J, Smith VC, Lutze M (1987) Aging of the human lens. Appl Opt 26(8):1437–1440

    Article  CAS  PubMed  Google Scholar 

  34. McDougal DH, Gamlin PD (2010) The influence of intrinsically-photosensitive retinal ganglion cells on the spectral sensitivity and response dynamics of the human pupillary light reflex. Vis Res 50:72–87

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dan Milea.

Ethics declarations

Financial support

This work was supported by the Duke-NUS Signature Research Program funded by the Agency for Science, Technology and Research, Singapore, and the Ministry of Health, Singapore; National Medical Research Council, Singapore under NMRC/CIRG/1401/2014(DM); National Medical Research Council, Singapore under NMRC/NIG/1000/2009 (JJG); Singapore National Eye Centre Health Research Endowment Fund (1005/20/2013, AT, JJG, DM); Biomedical Research Council under 01-TCRP-2010 (TCR0101674, AT). The sponsor had no role in the design or conduct of this research.

Conflict of interest

Dan Milea and Joshua J Gooley have a patent Application PCT/SG2015/050494: A method and system for monitoring and/or assessing pupillary responses

The rest of authors certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge, or beliefs) in the subject matter or materials discussed in this manuscript.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sharma, S., Baskaran, M., Rukmini, A.V. et al. Factors influencing the pupillary light reflex in healthy individuals. Graefes Arch Clin Exp Ophthalmol 254, 1353–1359 (2016). https://doi.org/10.1007/s00417-016-3311-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00417-016-3311-4

Keywords

Navigation