The a-Wave Latency in Control Subjects and Patients with Retinal Diseases

Hamasaki, D.I.; Mu, Lan; Hui, Qiu Jing; Fujiwara, Eriko; Lam, Byron L.

doi:10.1016/s0021-5155(02)00504-x

Cited by 11 publications

(2 citation statements)

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“…6(c). We can see that the photoreceptor IOS onset time was 1.1 AE 0.2 ms, while the ERG a-wave onset time was 5.0 AE 0.5 ms. 39 The difference was statistically significant with a p-value smaller than 0.001 using a single sided t-test. Figure 6(d) shows the averaged photoreceptor IOS and ERG curves.…”

Section: Resultsmentioning

confidence: 88%

In vivooptical coherence tomography of stimulus-evoked intrinsic optical signals in mouse retinas

Wang

Yao

2016

J. Biomed. Opt

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Abstract. Intrinsic optical signal (IOS) imaging promises a noninvasive method for advanced study and diagnosis of eye diseases. Before pursuing clinical applications, it is essential to understand anatomic and physiological sources of retinal IOSs and to establish the relationship between IOS distortions and eye diseases. The purpose of this study was designed to demonstrate the feasibility of in vivo IOS imaging of mouse models. A high spatiotemporal resolution spectral domain optical coherence tomography (SD-OCT) was employed for depth-resolved retinal imaging. A custom-designed animal holder equipped with ear bar and bite bar was used to minimize eye movements. Dynamic OCT imaging revealed rapid IOS from the photoreceptor's outer segment immediately after the stimulation delivery, and slow IOS changes were observed from inner retinal layers.Comparative photoreceptor IOS and electroretinography recordings suggested that the fast photoreceptor IOS may be attributed to the early stage of phototransduction before the hyperpolarization of retinal photoreceptor.

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Section: Resultsmentioning

confidence: 88%

In vivooptical coherence tomography of stimulus-evoked intrinsic optical signals in mouse retinas

Wang

Yao

2016

J. Biomed. Opt

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“…37 Different studies have also reported the structural changes leading to the reduced amplitude and increased latency in the cone ERG parameters, more specifically, changes in cone outer segment, reduced density of the photoreceptors, cell shrinkage, and delay in cone phototransduction. [38][39][40] In our study based on the decrease in FFAmp, the global decay rate was noted to be 18.7% and for the 30 Hz amplitude to be 14.6%. Similar rates have been reported by Berson et al 21 of 16% to 18.5% change in ERG amplitudes.…”

Section: Discussionmentioning

confidence: 46%

Assessing Residual Cone Function in Retinitis Pigmentosa Patients

Arsiwalla

Cornish

Nguyen

et al. 2020

Trans. Vis. Sci. Tech.

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Purpose The purpose of this study was to investigate cone function deterioration in patients with retinitis pigmentosa (RP) using full field electroretinogram (ffERG), pattern electroretinogram (pERG), and optical coherence tomography (OCT) and their correlation with visual acuity (VA). Methods Clinical records (2008–2018) of patients with RP undergoing repeat electrophysiology were reviewed. Results of ffERG (30 Hz flicker and fused flicker amplitude [FFAmp]), pERG [p50 and n95], and macular OCT (ellipsoid zone [EZ] and outer segment thickness) were collected. Results One hundred twenty-six eyes from 63 patients (33 women, mean age 35 years) were included. The mean decline in VA was 0.11 ± 0.14 logarithm of minimum angle of resolution (logMAR). The FFAmp decreased by 3.01 ± 5.9 µV with global cone function deteriorating by 18.7% annually. The percentage change in FFAmp (RE [ r = 0.553], LE [ r = 0.531]), and 30 Hz flicker amplitude (RE [ r = 0.615], LE [ r = 0.529]) strongly correlated with VA ( P < 0.00001). The pERG p50 (15 and 30 degrees) change analyzed in 34 patients showed reduction by 23% and 23.4%, respectively. The percentage change in p50 30 degrees ( r = 0.397) correlated with VA and EZ layer ( P < 0.05). The EZ layer change was calculated in 45 patients and the shortening and thinning rate was 4.3% and 4.4% annually, respectively. The EZ length percentage change correlated with VA (RE [ r = 0.34] and LE [ r = 0.466; P < 0.05). Conclusions We quantified the decline in cone function in patients with RP utilizing ffERG and FFAmp measures of residual cone function. These parameters correlated with VA and OCT when measurable. These objective measures may assist in monitoring disease progression. Translational Relevance Residual cone function provides an objective estimate of residual visual function, which aids in counselling patients regarding prognosis.

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