Literature DB >> 31571069

The photopic negative response of the Light-adapted 3.0 ERG in clinical settings.

Gonzalo Ortiz1, David Drucker1, Connor Hyde1, Joseph Staffetti1, Jan Kremers2, Radouil Tzekov3,4,5,6.   

Abstract

PURPOSE: To analyze the effects of different methods of measurement on the photopic negative response (PhNR), recorded as part of a standard ISCEV Photopic 3.0 ERG responses from patients with a variety of clinical diagnoses.
METHODS: ERGs were recorded from both eyes of 97 patients (187 eyes) as part of a standard clinical assessment. The average age was 56.4 ± 15.7 years, the gender balance was 35 M, 62F, and only recordable responses of acceptable quality were included. PhNR was measured at an identifiable trough before (PhNR1) and after the i-wave (PhNR2), and the amplitudes and peak times were compared with a-, b- and i-wave corresponding parameters. PhNR components were measured: from baseline and from b-wave peak. Correlation between PhNR troughs and with ERG parameters were tested for right eyes. The possibility to predict and substitute PhNR2 amplitude from PhNR1 amplitude was also tested.
RESULTS: PhNR1 was recordable in 97.3% of eyes and PhNR2 in 85.6%. An identifiable PhNR2 peak was found to occur before 65 ms at ~ 50% of the records, while in ~ 38% of the cases was within 65-75 ms in ~ 12%-after 75 ms. The correlation between the PhNR1 and PhNR2 peaks was quite strong (with coefficients 0.81-0.98, depending on method of measurement, and slopes close to 1). The average difference between predicted and measured PhNR2 was reasonably small in absolute (< 2 µV) and relative (< 2%) terms. The correlations between PhNR amplitudes and other ERG component amplitudes showed different ranges of correlation coefficients depending on the method of measurement: for the a-wave amplitudes the range of coefficients was 0.48-0.73, while for the b-wave amplitudes it was 0.30-0.95 and 0.39-0.65 for i-wave.
CONCLUSION: The strong correlation between the two PhNR troughs could allow using PhNR1 when PhNR2 is poorly defined due to artifacts. Different methods of PhNR measurement lead to different correlations with other ERG parameters, and this needs to be considered when analyzing and comparing PhNR data between studies.

Entities:  

Keywords:  Electroretinogram; ISCEV; Photopic negative response; Retinal disease; Single-flash cone response

Year:  2019        PMID: 31571069     DOI: 10.1007/s10633-019-09723-5

Source DB:  PubMed          Journal:  Doc Ophthalmol        ISSN: 0012-4486            Impact factor:   2.379


  48 in total

1.  Cone-dominated ERG luminance-response function: the Photopic Hill revisited.

Authors:  Marianne Rufiange; Sophie Rousseau; Olga Dembinska; Pierre Lachapelle
Journal:  Doc Ophthalmol       Date:  2002-05       Impact factor: 2.379

2.  The Photopic Negative Response in Idiopathic Intracranial Hypertension.

Authors:  Heather E Moss; Jason C Park; J Jason McAnany
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-06       Impact factor: 4.799

3.  The i-wave: bridging flash and pattern electroretinography.

Authors:  S Rousseau; M McKerral; P Lachapelle
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4.  Photopic negative response versus pattern electroretinogram in early glaucoma.

Authors:  Dunja Preiser; Wolf A Lagrèze; Michael Bach; Charlotte M Poloschek
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-02-01       Impact factor: 4.799

5.  Evidence supportive of a functional discrimination between photopic oscillatory potentials as revealed with cone and rod mediated retinopathies.

Authors:  P Lachapelle; S Rousseau; M McKerral; J Benoit; R C Polomeno; R K Koenekoop; J M Little
Journal:  Doc Ophthalmol       Date:  1998       Impact factor: 2.379

6.  Inter-subject, inter-ocular and inter-session repeatability of the photopic negative response of the electroretinogram recorded using DTL and skin electrodes.

Authors:  Katharine E Mortlock; Alison M Binns; Yousef H Aldebasi; Rachel V North
Journal:  Doc Ophthalmol       Date:  2010-07-06       Impact factor: 2.379

7.  Push-pull model of the primate photopic electroretinogram: a role for hyperpolarizing neurons in shaping the b-wave.

Authors:  P A Sieving; K Murayama; F Naarendorp
Journal:  Vis Neurosci       Date:  1994 May-Jun       Impact factor: 3.241

8.  The Test-Retest Reliability of the Photopic Negative Response (PhNR).

Authors:  Jessica Tang; Thomas Edwards; Jonathan G Crowston; Marc Sarossy
Journal:  Transl Vis Sci Technol       Date:  2014-11-03       Impact factor: 3.283

9.  B-wave of the electroretinogram. A reflection of ON bipolar cell activity.

Authors:  R A Stockton; M M Slaughter
Journal:  J Gen Physiol       Date:  1989-01       Impact factor: 4.086

10.  Relative Genetic and Environmental Contributions to Variations in Human Retinal Electrical Responses Quantified in a Twin Study.

Authors:  Taha Bhatti; Ambreen Tariq; Ting Shen; Katie M Williams; Christopher J Hammond; Omar A Mahroo
Journal:  Ophthalmology       Date:  2017-04-20       Impact factor: 12.079

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  6 in total

1.  Photopic negative response using a handheld mini-ganzfeld stimulator in healthy adults: normative values, intra- and inter-session variability.

Authors:  Adriana Berezovsky; Rustum Karanjia; Arthur Gustavo Fernandes; Gabriel Izan Santos Botelho; Tatiane Luana Novele Bueno; Nívea Nunes Ferraz; Paula Yuri Sacai; Stuart Glenn Coupland; Alfredo Arrigo Sadun; Solange Rios Salomão
Journal:  Doc Ophthalmol       Date:  2020-07-17       Impact factor: 2.379

2.  The influence of mild cataract on ISCEV standard electroretinogram recorded from mydriatic eyes.

Authors:  Atsuhiro Tanikawa; Keita Suzuki; Ryoko Nomura; Hidenori Tanaka; Tadashi Mizuguchi; Yoshiaki Shimada; Masayuki Horiguchi
Journal:  Doc Ophthalmol       Date:  2020-09-12       Impact factor: 2.379

3.  Relationship between stimulus size and different components of the electroretinogram (ERG) elicited by flashed stimuli.

Authors:  Mathias G Nittmann; Avinash J Aher; Jan Kremers; Radouil Tzekov
Journal:  Doc Ophthalmol       Date:  2020-10-15       Impact factor: 2.379

4.  Prediction of glaucoma severity using parameters from the electroretinogram.

Authors:  Marc Sarossy; Jonathan Crowston; Dinesh Kumar; Anne Weymouth; Zhichao Wu
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

5.  Intereye structure-function relationship using photopic negative response in patients with glaucoma or glaucoma suspect.

Authors:  Jihye Lee; Seong Ah Kim; Jiyun Lee; Chan Kee Park; Kyoung In Jung
Journal:  Sci Rep       Date:  2022-08-16       Impact factor: 4.996

6.  The effect of age on full-field electroretinograms recorded with skin electrodes.

Authors:  Daisuke Samoto; Atsuhiro Tanikawa; Keita Suzuki; Hidenori Tanaka; Tadashi Mizuguchi; Yoshiaki Shimada; Masayuki Horiguchi
Journal:  Fujita Med J       Date:  2020-12-16
  6 in total

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