Advertisement

Documenta Ophthalmologica

, Volume 139, Issue 2, pp 137–149 | Cite as

Central and peripheral steady-state visual evoked potentials in children with optic pathway gliomas

  • Sarah Zakaib Rassi
  • Luis H. Ospina
  • Ariane Bochereau
  • Yvan Samson
  • Sébastien Perreault
  • Dave Saint-AmourEmail author
Original Research Article
  • 61 Downloads

Abstract

Purpose

Treatment of optic pathway gliomas is prompted by neuroradiological evidence of tumor growth, usually associated with progressive visual loss. Despite therapy, approximately 40% will show visual deterioration. Treatment outcome is largely based on the preservation of vision. However, current visual function assessment is often unreliable in children with optic pathway gliomas who have limited collaboration. Thus, there is a need for new clinical tools to evaluate visual functions in these children. The aim of the study was to assess the value of steady-state visual evoked potentials as a tool to assess function in the central and peripheral visual fields of children with optic pathway gliomas.

Method

Ten patients with optic pathway gliomas and 33 healthy controls (ages 3 to 18 years) were tested using steady-state visual evoked potentials. The dartboard stimulus consisted of one central circle alternating at 16 reversals/s and one peripheral hoop alternating at 14.4 reversals/s, separated by a hoop of gray space. It was presented monocularly at 30% and 96% contrasts.

Results

Results indicated that central signal-to-noise ratios were significantly lower in children with optic pathway gliomas compared to controls. However, no significant group difference was detected in the peripheral visual field.

Conclusion

Steady-state visual evoked potentials could eventually be implemented in the clinical assessment and follow-up of central visual field deficits in uncooperative or nonverbal children but seem to have limited usefulness for evaluation of peripheral visual field deficits. Additional studies are needed to identify testing parameters for full visual field assessment.

Keywords

Steady-state visual evoked potential Optic pathway glioma Visual field assessment Optic nerve 

Notes

Acknowledgements

We would like to acknowledge the Brain Tumour Foundation of Canada and the Centre Hospitalier Universitaire de Sainte-Justine for their financial support. We would also like to thank our laboratory technician, Anthony Hosein Poitras Loewen for creation of the stimulus and technical support, as well as Hugues Leduc for his valuable help with the statistics. Lastly, we would like to thank the children and their families for their participation in this study.

Funding

The Brain Tumor Foundation of Canada provided financial support in the form of research funding but had no role in the design or conduct of this research.

Compliance with ethical standards

Conflict of interest

All 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.

Statement of human rights

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.

Statement on the welfare of animals

This article does not contain any studies with animals performed by any of the authors.

Informed consent

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

References

  1. 1.
    Kelly JP, Weiss AH (2013) Detection of tumor progression in optic pathway glioma with and without neurofibromatosis type 1. Neuro-oncology 15(11):1560–1567CrossRefGoogle Scholar
  2. 2.
    Ammendola A, Ciccone G, Ammendola E (2006) Utility of multimodal evoked potentials study in neurofibromatosis type 1 of childhood. Pediatr Neurol 34(4):276–280CrossRefGoogle Scholar
  3. 3.
    Jahraus CD, Tarbell NJ (2006) Optic pathway gliomas. Pediatr Blood Cancer 46(5):586–596CrossRefGoogle Scholar
  4. 4.
    World Health Organisation (2017) Cancer fact sheetGoogle Scholar
  5. 5.
    Fisher MJ et al (2013) Functional outcome measures for NF1-associated optic pathway glioma clinical trials. Neurology 81(21 supplement 1):S15–S24CrossRefGoogle Scholar
  6. 6.
    Avery RA, Fisher MJ, Liu GT (2011) Optic pathway gliomas. J Neuroophthalmol 31(3):269–278CrossRefGoogle Scholar
  7. 7.
    Robert-Boire V et al (2017) Clinical presentation and outcome of patients with optic pathway glioma. Pediatr Neurol 75:55–60CrossRefGoogle Scholar
  8. 8.
    Aquilina K et al (2015) Optic pathway glioma in children: does visual deficit correlate with radiology in focal exophytic lesions? Child Nerv Syst 31(11):2041–2049CrossRefGoogle Scholar
  9. 9.
    Listernick R et al (2007) Optic pathway gliomas in neurofibromatosis-1: controversies and recommendations. Ann Neurol 61(3):189–198CrossRefGoogle Scholar
  10. 10.
    Van Mierlo C et al (2013) Role of visual evoked potentials in the assessment and management of optic pathway gliomas in children. Doc Ophthalmol 127(3):177–190CrossRefGoogle Scholar
  11. 11.
    Binning MJ et al (2007) Optic pathway gliomas: a review. Neurosurg Focus 23(5):E2CrossRefGoogle Scholar
  12. 12.
    Balcer LJ et al (2001) Visual loss in children with neurofibromatosis type 1 and optic pathway gliomas: relation to tumor location by magnetic resonance imaging. Am J Ophthalmol 131(4):442–445CrossRefGoogle Scholar
  13. 13.
    de Freitas Dotto P et al (2018) Visual function assessed by visually evoked potentials in optic pathway low-grade gliomas with and without neurofibromatosis type 1. Doc Ophthalmol 136(3):177–189CrossRefGoogle Scholar
  14. 14.
    Dhermain FG et al (2010) Advanced MRI and PET imaging for assessment of treatment response in patients with gliomas. Lancet Neurol 9(9):906–920CrossRefGoogle Scholar
  15. 15.
    Avery RA et al (2015) Longitudinal change of circumpapillary retinal nerve fiber layer thickness in children with optic pathway gliomas. Am J Ophthalmol 160(5):944–952.e1CrossRefGoogle Scholar
  16. 16.
    Kalin-Hajdu E et al (2014) Visual acuity of children treated with chemotherapy for optic pathway gliomas. Pediatr Blood Cancer 61(2):223–227CrossRefGoogle Scholar
  17. 17.
    Hood DC et al (2004) Detecting early to mild glaucomatous damage: a comparison of the multifocal VEP and automated perimetry. Invest Ophthalmol Vis Sci 45(2):492–498CrossRefGoogle Scholar
  18. 18.
    Fortune B et al (2007) Comparing multifocal VEP and standard automated perimetry in high-risk ocular hypertension and early glaucoma. Invest Ophthalmol Vis Sci 48(3):1173–1180CrossRefGoogle Scholar
  19. 19.
    Harding G et al (2002) Field-specific visual-evoked potentials identifying field defects in vigabatrin-treated children. Neurology 58(8):1261–1265CrossRefGoogle Scholar
  20. 20.
    Colenbrander A (2002) Visual standards aspects and ranges of vision loss with emphasis on population surveys. Report prepared for the International Council of Ophthalmology at the 29th International Congress of Ophthalmology, Sydney, AustraliaGoogle Scholar
  21. 21.
    Horton JC, Hoyt WF (1991) The representation of the visual field in human striate cortex. A revision of the classic Holmes map. Arch Ophthalmol 109(6):816–824CrossRefGoogle Scholar
  22. 22.
    Norcia AM et al (2015) The steady-state visual evoked potential in vision research: a review. J Vis 15(6):4CrossRefGoogle Scholar
  23. 23.
    Matsumoto CS et al (2013) Liquid crystal display screens as stimulators for visually evoked potentials: flash effect due to delay in luminance changes. Doc Ophthalmol 127(2):103–112CrossRefGoogle Scholar
  24. 24.
    Bach M (1996) The Freiburg Visual Acuity test—automatic measurement of visual acuity. Optom Vis Sci 73(1):49–53CrossRefGoogle Scholar
  25. 25.
    Jasper HH (1958) The ten twenty electrode system of the international federation. Electroencephalogr Clin Neurophysiol 10:371–375Google Scholar
  26. 26.
    Bach M, Meigen T (1999) Do’s and don’ts in Fourier analysis of steady-state potentials. Doc Ophthalmol 99(1):69–82CrossRefGoogle Scholar
  27. 27.
    Meigen T, Bach M (1999) On the statistical significance of electrophysiological steady-state responses. Doc Ophthalmol 98(3):207–232CrossRefGoogle Scholar
  28. 28.
    Holladay JT (2004) Visual acuity measurements. J Cataract Refract Surg 30(2):287–290CrossRefGoogle Scholar
  29. 29.
    Abdullah S, Boon M, Maddess T (2012) Contrast-response functions of the multifocal steady-state VEP (MSV). Clin Neurophysiol 123(9):1865–1871CrossRefGoogle Scholar
  30. 30.
    Wu J et al (2012) Retinotopic mapping of the peripheral visual field to human visual cortex by functional magnetic resonance imaging. Hum Brain Mapp 33(7):1727–1740CrossRefGoogle Scholar
  31. 31.
    Kelly JP, Weiss AH (2006) Comparison of pattern visual-evoked potentials to perimetry in the detection of visual loss in children with optic pathway gliomas. J AAPOS 10(4):298–306CrossRefGoogle Scholar
  32. 32.
    Wolsey DH et al (2006) Can screening for optic nerve gliomas in patients with neurofibromatosis type I be performed with visual-evoked potential testing? J AAPOS 10(4):307–311CrossRefGoogle Scholar
  33. 33.
    Siatkowski RM (2006) VEP testing and visual pathway gliomas: not quite ready for prime time. J AAPOS 10(4):293–295CrossRefGoogle Scholar
  34. 34.
    de Blank PM et al (2017) Optic pathway gliomas in neurofibromatosis type 1: an update: surveillance, treatment indications, and biomarkers of vision. J Neuroophthalmol 37:S23–S32CrossRefGoogle Scholar
  35. 35.
    Falsini B et al (2008) Longitudinal assessment of childhood optic gliomas: relationship between flicker visual evoked potentials and magnetic resonance imaging findings. J Neurooncol 88(1):87–96CrossRefGoogle Scholar
  36. 36.
    Trisciuzzi MTS et al (2004) A fast visual evoked potential method for functional assessment and follow-up of childhood optic gliomas. Clin Neurophysiol 115(1):217–226CrossRefGoogle Scholar
  37. 37.
    Hébert-Lalonde N et al (2014) A frequency-tagging electrophysiological method to identify central and peripheral visual field deficits. Doc Ophthalmol 129(1):17–26CrossRefGoogle Scholar
  38. 38.
    Hood DC et al (2006) The role of the multifocal visual evoked potential (mfVEP) latency in understanding optic nerve and retinal diseases. Trans Am Ophthalmol Soc 104:71Google Scholar
  39. 39.
    Kuenzle C et al (1994) Follow-up of optic pathway gliomas in children with neurofibromatosis type 1. Neuropediatrics 25(6):295–300CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of PsychologyUniversité du Québec à MontréalMontréalCanada
  2. 2.Department of OphthalmologyCentre Hospitalier Universitaire de Sainte-JustineMontréalCanada
  3. 3.Centre de Recherche du Centre HospitalierUniversitaire de Sainte-JustineMontréalCanada
  4. 4.Division of Hemato-Oncology, Department of PediatricsCentre Hospitalier Universitaire de Sainte-JustineMontréalCanada
  5. 5.Division of Child Neurology, Department of PediatricsCentre Hospitalier Universitaire de Sainte-JustineMontréalCanada

Personalised recommendations