scholarly journals Influence of pre‐adaptation time to background illumination on photopic negative response of the full‐field electroretinogram

2022 ◽  
Vol 100 (S267) ◽  
Author(s):  
Maren‐Christina Blum ◽  
Sascha Klee
2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Shigeki Machida ◽  
Kunifusa Tamada ◽  
Taku Oikawa ◽  
Yasutaka Gotoh ◽  
Tomoharu Nishimura ◽  
...  

Purpose. To compare the photopic negative response (PhNR) of the full-field electroretinogram (ERG) to the PhNR of the focal ERGs in detecting glaucoma.Methods. One hundred and three eyes with glaucoma and 42 normal eyes were studied. Full-field ERGs were elicited by red stimuli on a blue background. The focal ERGs were elicited by a15∘white stimulus spot centered on the macula, the superotemporal or the inferotemporal areas of the macula.Results. In early glaucoma, the areas under the receiver operating characteristic curves (AUCs) were significantly larger for the focal PhNR (0.863–0.924) than those for the full-field PhNR (0.666–0.748) (P<.05). The sensitivity was significantly higher for the focal PhNR than for the full-field PhNR in early (P<.01) and intermediate glaucoma (P<.05). In advanced glaucoma, there was no difference in the AUCs and sensitivities between the focal and full-field PhNRs.Conclusions. The focal ERG has the diagnostic ability with higher sensitivity in detecting early and intermediate glaucoma than the full-field ERG.


2021 ◽  
Vol 8 ◽  
Author(s):  
Tina Diao ◽  
Fareshta Kushzad ◽  
Megh D. Patel ◽  
Megha P. Bindiganavale ◽  
Munam Wasi ◽  
...  

The photopic negative response of the full-field electroretinogram (ERG) is reduced in optic neuropathies. However, technical requirements for measurement and poor classification performance have limited widespread clinical application. Recent advances in hardware facilitate efficient clinic-based recording of the full-field ERG. Time series classification, a machine learning approach, may improve classification by using the entire ERG waveform as the input. In this study, full-field ERGs were recorded in 217 eyes (109 optic neuropathy and 108 controls) of 155 subjects. User-defined ERG features including photopic negative response were reduced in optic neuropathy eyes (p &lt; 0.0005, generalized estimating equation models accounting for age). However, classification of optic neuropathy based on user-defined features was only fair with receiver operating characteristic area under the curve ranging between 0.62 and 0.68 and F1 score at the optimal cutoff ranging between 0.30 and 0.33. In comparison, machine learning classifiers using a variety of time series analysis approaches had F1 scores of 0.58–0.76 on a test data set. Time series classifications are promising for improving optic neuropathy diagnosis using ERG waveforms. Larger sample sizes will be important to refine the models.


2021 ◽  
Vol 11 ◽  
Author(s):  
Gabriel Izan Santos Botelho ◽  
Solange Rios Salomão ◽  
Célia Harumi Tengan ◽  
Rustum Karanjia ◽  
Felipo Victor Moura ◽  
...  

Purpose: The photopic negative response (PhNR) is an electrophysiological method that provides retinal ganglion cell function assessment using full-field stimulation that does not require clear optics or refractive correction. The purpose of this study was to assess ganglion cell function by PhNR in affected and asymptomatic carriers from Brazilian families with LHON.Methods: Individuals either under suspicion or previously diagnosed with LHON and their family members were invited to participate in this cross-sectional study. Screening for the most frequent LHON mtDNA mutations was performed. Visual acuity, color discrimination, visual fields, pattern-reversal visual evoked potentials (PRVEP), full-field electroretinography and PhNR were tested. A control group of healthy subjects was included. Full-field ERG PhNR were recorded using red (640 nm) flashes at 1 cd.s/m2, on blue (470 nm) rod saturating background. PhNR amplitude (μV) was measured using baseline-to-trough (BT). Optical coherence tomography scans of both the retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC) were measured. PhNR amplitudes among affected, carriers and controls were compared by Kruskal-Wallis test followed by post-hoc Dunn test. The associations between PhNR amplitude and OCT parameters were analyzed by Spearman rank correlation.Results: Participants were 24 LHON affected patients (23 males, mean age=30.5 ± 11.4 yrs) from 19 families with the following genotype: m.11778G&gt;A [N = 15 (62%), 14 males]; m.14484T&gt;C [N = 5 (21%), all males] and m.3460G&gt;A [N = 4 (17%), all males] and 14 carriers [13 females, mean age: 43.2 ± 13.3 yrs; m.11778G&gt;A (N = 11); m.3460G&gt;A (N = 2) and m.14484T&gt;C (N = 1)]. Controls were eight females and seven males (mean age: 32.6 ± 11.5 yrs). PhNR amplitudes were significantly reduced (p = 0.0001) in LHON affected (−5.96 ± 3.37 μV) compared to carriers (−16.53 ± 3.40 μV) and controls (−23.91 ± 4.83; p &lt; 0.0001) and in carriers compared to controls (p = 0.01). A significant negative correlation was found between PhNR amplitude and total macular ganglion cell thickness (r = −0.62, p &lt; 0.05). Severe abnormalities in color discrimination, visual fields and PRVEPs were found in affected and subclinical abnormalities in carriers.Conclusions: In this cohort of Brazilian families with LHON the photopic negative response was severely reduced in affected patients and mildly reduced in asymptomatic carriers suggesting possible subclinical abnormalities in the latter. These findings were similar among pathogenic mutations.


2009 ◽  
Vol 53 (6) ◽  
pp. 608-614 ◽  
Author(s):  
Kunifusa Tamada ◽  
Shigeki Machida ◽  
Daisuke Yokoyama ◽  
Daijiro Kurosaka

2016 ◽  
Vol 132 (3) ◽  
pp. 177-187 ◽  
Author(s):  
Junzo Kinoshita ◽  
Shunsuke Takada ◽  
Noriaki Iwata ◽  
Yoshiro Tani

2017 ◽  
Vol 46 (5) ◽  
pp. 519-530 ◽  
Author(s):  
Edoardo Abed ◽  
Giorgio Placidi ◽  
Francesca Campagna ◽  
Matteo Federici ◽  
Angelo Minnella ◽  
...  

2018 ◽  
Vol 136 (3) ◽  
pp. 207-211 ◽  
Author(s):  
Laura Frishman ◽  
Maja Sustar ◽  
Jan Kremers ◽  
J. Jason McAnany ◽  
Marc Sarossy ◽  
...  

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