Skip to main content
Springer logoLink to Springer
. 2026 Mar 30;153(2):165–177. doi: 10.1007/s10633-026-10095-w

Measuring electroretinograms in tree shrews with a portable electrophysiology device

Rohit Dhakal 1,#, Nilda C Sanchez 1,#, Timothy J Gawne 1, Safal Khanal 1,✉
PMCID: PMC13619756  PMID: 41910689

Abstract

Purpose

The RETeval portable flash electrophysiology device is extensively used for assessing retinal function in humans. However, its utility in measuring electroretinograms in preclinical studies has been less explored. Tree shrews (small diurnal mammals closely related to primates) are a well-established animal model of emmetropization known to exhibit robust responses to visual cues and mimic human juvenile-onset myopia. This study aimed to evaluate the intra- and inter-session repeatability of full-field photopic electroretinograms (ERGs) recorded using the RETeval system in tree shrews.

Methods

At 24 ± 1 days of visual experience (DVE), twelve juvenile tree shrews housed in broadband colony light (100–300 lx) underwent electrophysiology testing of the normally developing eye using the RETeval system (LKC Technologies, MD, USA). Measurements were repeated twice in each session, as well as at 30 and 35 DVE. The amplitudes and peak times of the flash, flicker, photopic negative response, S-cone, and On–Off ERGs were analyzed. The intra- and inter-session repeatability was assessed using the coefficient of variation (CoV), intra-class correlation coefficient (ICC), mean bias (%), paired t-test, and Bland–Altman analysis.

Results

Tree shrew ERGs exhibited well-defined and robust waveforms comparable to those of human ERGs. Flash and flicker ERGs showed excellent intra-session repeatability for both amplitudes and peak times (CoV < 5%, mean bias ≤ 5%, and ICC ≥ 0.98). While the ERGs were also repeatable across different sessions, the repeatability metrics were comparatively better for peak times (CoV: < 10%, mean bias: < 15%) than for amplitudes (CoV: 13.36–29.35%, mean bias: 18.89–41.51%) with ICC values between 0.4 and 0.86 for inter-session ERGs, indicating modest repeatability.

Conclusions

The RETeval measurements of full-field photopic ERGs in tree shrews were robust and reliable, with waveforms morphologically similar to human ERGs, demonstrating the utility of the RETeval system in measuring retinal function in this species. The photopic ERGs were repeatable across sessions on different days, indicating the feasibility of using this device in longitudinal studies of retinal function in tree shrews, for example, in studying the neural basis of emmetropization.

Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1007/s10633-026-10095-w.

Keywords: Electroretinogram, Tree shrews, Emmetropization, Myopia, Animal models

Introduction

Retinal function assessment is an integral component of understanding the health and disorders of the central nervous system, including the retina [1]. A widely used non-invasive method for evaluating retinal function is electroretinography, which provides objective measurements of the neural activity that arises from different retinal cell populations [2]. In vision science research, electroretinograms (ERGs) are routinely used to detect dysfunction, monitor disease progression, and evaluate treatment effects in a range of retinal disorders [3]. ERGs are also increasingly applied to studies of ocular physiological processes such as emmetropization, the visually guided feedback mechanism that regulates postnatal eye growth to achieve and maintain emmetropia (good focus) [4–13]. Although substantial progress has been made in understanding the mechanistic principles of the emmetropization mechanism, the neural signals and pathways underlying retinal signaling of eye growth have yet to be fully elucidated [4, 5]. In this regard, ERGs can serve as an important tool for probing retinal neural pathways.

As a preclinical model, tree shrews, small semi-terrestrial, diurnal mammals closely related to primates, have gained significant popularity in neuroscience and vision science research [14–16]. This growing interest is primarily due to their phylogenetic proximity to primates, a well-developed brain with the highest brain-to-body mass ratio of any mammal including humans, and a visual system that resembles that of humans in many aspects [17, 18]. Tree shrews have excellent vision for a small mammal (visual acuity: 2–3 cycles/degree)[19], a cone-dominated retina, containing approximately 95% cones, and visual pathways and cortical structures that share key similarities with the primate visual system [17, 20–25]. These features have made tree shrews a commonly used model for studying refractive development, retinal information processing, and retinal diseases [18, 20, 26–28]. Their rapid developmental timeline, short breeding cycles [29], human-like fibrous sclera [30, 31], well-documented responses to visual manipulations such as defocus [32, 33], form deprivation [34], changes in light intensity [35, 36], variations in spectral composition [35, 37, 38], and experimentally induced human-like myopia [39], make them an ideal mammalian model for longitudinal studies of emmetropization and retinal physiology.

Despite their increasing use, electrophysiological assessments of retinal function in tree shrews have typically relied on large, stationary Ganzfeld systems [21, 28]. These instruments provide reliable recordings but are expensive, non-portable, and require dedicated laboratory facilities. The RETeval system (LKC Technologies, USA) is a compact and portable electroretinography device with a mini-Ganzfeld that offers practicality and operational simplicity for electroretinography. Although this system is widely used in human electrodiagnostics, its suitability and performance in tree shrews have not been characterized. The reliable use of the RETeval system in this species first requires an assessment of intra-session and inter-session repeatability, particularly for longitudinal studies conducted during the rapidly changing postnatal emmetropization period. These repeatability metrics are critical for distinguishing true physiological variability from random noise introduced by the instrument or recording conditions.

The purpose of this study was to evaluate the repeatability of ERG recordings obtained with the RETeval system in emmetropizing tree shrews. We quantified intra-session and inter-session repeatability across several commonly used ERG protocols, including photopic flash and flicker, S-cone, photopic negative response (PhNR), and On–Off ERGs. These findings provide the first systematic assessment of RETeval ERG repeatability in tree shrews and support the application of this device in investigations of retinal function and visually guided eye growth in this species.

Methods

Twelve northern tree shrews (Tupaia belangeri) raised by their mothers at the University of Alabama at Birmingham (UAB) Tree Shrew Core were the subjects in this study. Tree shrews typically open their eyes at 3 weeks, which we designate as the first day of visual experience (DVE). By 24 DVE, they complete their initial rapid phase of emmetropization and achieve a stable refractive state of low hyperopia (approximately 1.4 D [33]). After 24 DVE, as the eyes grow during adolescence, the emmetropization mechanism continues to maintain emmetropia, exhibiting robust responses to visual cues. For example, if a negative power lens is placed over one eye at 24 DVE, moving the focal plane away from the retina, the emmetropization mechanism increases the axial length toward the shifted focal plane and fully compensates for the imposed lens to restore emmetropia (measured with the lens in place) by 35 DVE [40]. Therefore, we studied retinal function from 24 to 35 DVE.

All twelve animals came from different litters. They were raised under broadband light (100–300 lx) in a temperature-controlled colony maintained on a 14/10-h light/dark cycle starting at 6:30 AM. At 22 ± 1 DVE, a dental acrylic pedestal was installed onto the dorsal skull of the animal to facilitate handling and ocular alignment during autorefraction measurements in awake animals [41]. The animal care in this study adhered to the Association for Research in Vision and Ophthalmology (ARVO) guidelines for the use of animals in ophthalmic and visual research. All study protocols were approved by the UAB Institutional Animal Care and Use Committee.

Retinal electrophysiology

Animals were anesthetized before recording the ERGs. The initial anesthesia was administered using 4% isoflurane gas for 3 min at a flow rate of 1000 ml/min, released inside the nest tube (used for transferring animals from the housing cage to the measurement room) containing the animal. The dormant animal was additionally administered an intramuscular injection of ketamine (100 mg/kg) and xylazine (7.5 mg/kg) in combination, based on body weight. The anesthetic effect of this combination drug lasts for approximately 45–60 min. After anesthesia, the animal was transferred to a temperature-regulated pad to maintain body temperature at 37 °C, which was continuously monitored using a rectal probe.

Twenty-five minutes prior to the start of the ERG measurements, the pupil was dilated by instilling one drop of 2.5% phenylephrine (Paragon BioTeck, Inc., Portland, OR, USA). The animal was then placed on the two-channel rodent manipulator table, and the regions of attachment of electrodes were cleaned using 70% isopropyl alcohol prep pads. The ground and reference electrodes were 14 × 0.38 mm (length × diameter) stainless steel needles (Natus Neurology Incorporated, WI, USA, https://natus.com/neuro/natus-ultra-disposable-subdermal-needle-electrodes/). The ground electrode was inserted subcutaneously at the base of the animal’s tail. The reference electrode was inserted subcutaneously on the scalp behind the pedestal at the approximate intersection between the midline of the head and the midpoint of the ears (Fig. 1). The active electrode was an R250 rat contact lens electrode (LKC Technologies, MD, USA, https://store.lkc.com/rat-electrode/https://store.lkc.com/rat-electrode/) attached to a gold wire and placed in contact with the cornea, and coupled with 1% carboxymethylcellulose sodium (Refresh Liquigel, Allergan, AbbVie Inc., North Chicago, Illinois, USA). The recording eye was anesthetized with one drop of 0.5% proparacaine hydrochloride (Bausch + Lomb, Bausch & Lomb Incorporated, Tampa, FL, USA) before the contact lens electrode was placed.

Fig. 1.

Fig. 1

Electroretinogram testing using the RETeval system in tree shrews. (A) Location of ground, reference, and active electrodes. (B) Positioning of a contact lens (active electrode) on the cornea of an anesthetized tree shrew eye

The full-field photopic ERGs were recorded monocularly with the RETeval system (LKC Technologies, MD, USA) following the standards and extended protocols of the International Society of Clinical Electrophysiology of Vision [42–45]. The device was placed on the mounting arm with the mini-Ganzfeld in close proximity to the eye for full-field stimulation. Measurements were made at three different time points: 24, 30, and 35 DVE. We chose this juvenile period because animal studies probing the emmetropization mechanism have mostly been conducted during this period. Before starting the ERGs, the animals were light-adapted for 30 min under room illumination (100–300 lx). The protocols used were photopic flash, flicker, PhNR, S-cone, and On–Off ERGs. The flash and flicker protocols involved white flashes (3 cd.s/m2) against a white background (30 cd/m2) at frequencies of 2 and 28 Hz, respectively. The PhNR protocol used a red stimulus (621 nm peak, 1 cd.s/m2) against a blue background (470 nm, 10 cd/m2) flashed at a frequency of 3 Hz. In the On–Off protocol, the retina was stimulated with red flashes (621 nm, 560 cd.s/m2, 209.4 ms) against a green background (530 nm, 160 cd/m2) at a frequency of 2.4 Hz. In the S-cone protocol, a blue stimulus of 1 cd.s/m2 strength was flashed against a red background of 560 cd/m2 at a frequency of 4 Hz. Flash ERGs were quantified in terms of the amplitude and peak times of the a- and b-waves. Additionally, d-wave amplitude and peak times were analyzed for On–Off ERGs. The flicker ERGs were quantified in terms of the amplitude and peak time of the second peak. For the S-cone ERGs, the amplitude and peak times of the first positive peak (L/M cone response) and the second positive peak (S-cone response) were analyzed. The amplitude of the PhNRs was measured at 72 ms.

To investigate the intra-session repeatability, flash and flicker protocols were repeated twice at 24 DVE. The inter-session repeatability was assessed by comparing ERGs across 24, 30, and 35 DVEs. All measurements were performed by a single experienced examiner to avoid inter-examiner variability. After completion of the ERG measurements, animals were allowed to recover from the effects of anesthesia and were subsequently transferred back to their individual cages in the colony.

Statistical analysis

The statistical analyses were performed using GraphPad Prism (v. 10.0.2, Boston, MA, USA) and SPSS Statistics (v. 28.0.1.1, IBM Corp., NY, USA). For S-cone ERGs, the second positive peak corresponding to S-cone function could be reliably obtained from six animals, so only these data were included in the analysis. The intra-session repeatability was assessed by comparing the ERG measurements between the two sessions obtained at 24 DVE. The inter-session repeatability was assessed by comparing measurements across different time points (24, 30, and 35 DVE). Repeatability metrics included the coefficient of variation (CoV), intra-class correlation coefficient (ICC), mean bias (%), and paired t-test (for inter-session repeatability) or one-way repeated measures analysis of variance (for inter-session repeatability). The CoV was calculated as the ratio of repeated measurement standard deviation to the mean, where a lower CoV indicated higher repeatability. The ICC is a measure of reliability index that measures both the correlation and agreement between repeated measurements. The ICC ranges between 0 and 1, where values between 0.75 and 0.9 represent good reliability and values > 0.9 indicate excellent reliability [46]. A negative ICC may be possible, which signifies zero reliability; in such a case, the value was reset to zero [47]. The ICC was calculated for absolute agreement using a two-way random measure. The 95% limits of agreement (LOA) between two sessions at 24 DVE (intra-session repeatability) and between 24 and 30 DVE sessions (inter-session repeatability) were calculated as the mean bias ± 1.96*SD. A tighter 95% LOA indicates better repeatability [48]. The mean bias percentage was calculated as the absolute difference between two repeated measurements divided by the mean of these measurements, multiplied by 100. This result is interpreted similarly to that of the CoV, where a lower value indicates greater repeatability. The effect of age on ERGs was evaluated using one-way repeated measures ANOVA, followed by post-hoc pairwise comparisons with Sidak correction for multiple testing. The data are presented as the means ± standard errors of the mean (SEMs) unless stated otherwise. A p-value of < 0.05 was considered statistically significant.

Results

Intra-session repeatability

Table 1 summarizes the CoV, ICC, mean bias (%), and paired t-test results for the amplitude and peak time measurements of the flash and flicker ERGs. All parameters had a CoV less than 5% and an ICC ≥ 0.98, indicating excellent intra-session repeatability. As illustrated in Figs. 2 and S2, the between-subject variability was also relatively low, suggesting good repeatability of ERGs across animals. Likewise, the mean bias was ≤ 6% across all parameters, and the paired t-tests were non-significant (p > 0.05) except for the flicker amplitude (p = 0.04). Figure 2 shows the average (mean ± SD) ERG waveform across all animals for the two sessions at 24 DVE. The ERG waveforms overlapped extensively, showing excellent intra-session repeatability.

Table 1.

Intra-session repeatability of flash and flicker ERG peak times and amplitudes

CoV (%) ICC Mean bias % P-valuea
Flash a-wave Peak time 1.31 0.99** 1.85 0.89
Amplitude 3.63 0.98** 5.14 0.31
Flash b-wave Peak time 0.63 0.99** 0.88 0.14
Amplitude 1.95 0.99** 2.76 0.57
Flicker waveform Peak time 0.20 0.99** 0.28 0.37
Amplitude 2.55 0.99** 3.61 0.04

CoV coefficient of variation, ICC intra-class correlation coefficient. ** represents p < 0.01. aT-test

Fig. 2.

Fig. 2

Flash and flicker electroretinograms obtained at the first (black dashed line) and second (red dashed line) 24 DVE sessions averaged across all animals. The dotted lines represent ± 1 standard deviation

Inter-session repeatability

Table 2 summarizes the CoV, ICC, mean bias (%), one-way repeated-measures ANOVA, and Bland–Altman results for amplitudes and peak times across different ERG protocols. Inter-session CoV was lower for peak time responses (< 10%) than for amplitude responses (range: 13.36–29.35%) across all protocols. Similar results were observed for the mean bias (peak times: < 15%, and amplitudes: 18.89–41.51%). Unlike intra-session repeatability, only a few parameters had statistically significant ICC values (Table 2), and all but the S-cone amplitude (0.86) reached 0.75, indicating modest inter-session reliability of amplitudes and peak times. One-way repeated-measures ANOVA showed no difference in ERG peak times or amplitudes across the three DVEs. Likewise, Bland–Altman analyses showed smaller mean biases, with a lower 95% LOA range for peak time responses than for amplitude responses for all protocols. Figure 3 shows the average ERG waveforms recorded on 24, 30, and 35 DVE, and Fig. S1 shows the raw waveform for each animal. Qualitatively, the ERGs exhibited similar waveform patterns and morphology across the three time points.

Table 2.

Inter-session repeatability of full-field flash ERGs in tree shrews

Protocol CoV (%) ICC (95% CI) Mean bias % P-valuea Mean bias ± 95% LOA
Flash
a-wave peak time 7.48 0.52 (− 0.37,0.86) 10.58 0.65  − 0.23 ± 2.9
a-wave amplitude 13.36 0.66 (0.08,0.9)* 18.89 0.33 1.92 ± 46.6
b-wave peak time 5.87 0.54 (− 0.31,0.86) 8.30 0.62  − 0.47 ± 4.5
b-wave amplitude 13.57 0.50 (− 0.36,0.85) 19.20 0.42  − 19.78 ± 202
Flicker
Peak time 2.84 0.61 (0.02,0.88)* 4.02 0.06  − 1.76 ± 4.4
Amplitude 14.70 0.55 (− 0.09,0.86)* 20.78 0.16  − 27.47 ± 153
PhNR
Amplitude at 72 ms 29.35 0.68 (0.14,0.9) 41.51 0.19  − 3.57 ± 18.6
S-cone
L/M cone peak time 6.78 0.51 (− 0.31,0.91) 9.58 0.08  − 1.63 ± 3.5
L/M cone amplitude 15.51 0.48 (− 2.3,0.93) 21.93 0.94  − 1.01 ± 87
S-cone peak time 8.69 0.43 (− 0.67,0.90) 12.29 0.21  − 2.83 ± 6.64
S-cone amplitude 22.02 0.86 (0.37,0.98)** 31.15 0.98 0.82 ± 21.86
On–Off
a-wave peak time 7.20 0.59 (− 0.02,0.87)* 10.17 0.14  − 0.74 ± 3
a-wave amplitude 16.05 0.46 (− 0.39,0.83) 22.71 0.43 7.89 ± 46
b-wave peak time 7.34 0.40 (− 0.83,0.82) 10.39 0.70  − 0.7 ± 5.8
b-wave amplitude 14.30 0.44 (− 0.67,0.84) 20.22 0.83 0.44 ± 152
d-wave amplitude 19.00 0.74 (0.27,0.92)** 26.88 0.94  − 2.73 ± 126

CoV coefficient of variation, ICC intra-class correlation coefficient, CI confidence interval, RM repeated-measures, LOA limits of agreement

*and ** represent p < 0.05 and p < 0.01, respectively

aOne-way repeated-measures ANOVA

Fig. 3.

Fig. 3

Full-field flash electroretinograms (ERGs) at 24, 30, and 35 days of visual experience (DVE) in tree shrews. Data are the average of all animals. The shaded region represents ± 1 standard deviation. PhNR: Photopic Negative Response

Effects of age

Figure 4 shows the average (mean ± SD) ERG response amplitudes and peak times for different protocols at 24, 30, and 35 DVE. One-way repeated measures ANOVA revealed no significant differences in flash ERG a-wave amplitude (p = 0.33) and peak time (p = 0.65), b-wave amplitude (p = 0.42) and peak time (p = 0.62), flicker ERG amplitude (p = 0.16) and peak time (p = 0.06), L/M-cone amplitude (p = 0.95) and peak time (p = 0.08), S-cone amplitude (p = 0.98) and peak time (p = 0.21), PhNR amplitude (p = 0.16), and on–off a-wave amplitude (p = 0.43) and peak time (p = 0.14), b-wave amplitude (p = 0.83) and peak time (0.70), and d-wave amplitude (p = 0.94). These results suggest that the RETeval values of photopic ERGs in tree shrews were relatively stable from 24 to 35 DVE.

Fig. 4.

Fig. 4

Effects of age on retinal function in tree shrews. The upper row represents amplitude responses, and the lower row represents peak time responses. Since PhNR was measured at 72 ms, peak time comparisons are not applicable. For each response component (e.g., a-wave), data are normalized between 0 and 1, and are shown as the mean ± 1 standard error of the mean

Comparison of tree shrew and human ERGs

We further evaluated the degree of congruency in the ERG waveforms between tree shrews and humans. Human ERG data for the different protocols were extracted from the corresponding ISCEV standards using WebPlotDigitizer (v5, https://automeris.io/) and replotted on the same scale, or on a scale one order of magnitude lower, to allow comparison with tree shrew ERGs. As illustrated in Fig. 5, the waveform morphology of the photopic ERGs in tree shrews closely resembled that of the photopic ERGs in humans. However, noticeable differences were evident in both response magnitude and timing, despite matched stimulus and recording parameters. Specifically, the amplitudes of human photopic ERGs were considerably smaller than those of tree shrews, and in some cases by approximately an order of magnitude (e.g., S-cone, PhNR, and on–off ERGs). Additionally, the peak times of the a- and b-waves of the photopic ERGs were consistently shorter in tree shrews than in humans. We also measured scotopic ERGs in one representative animal following the ISCEV guidelines for scotopic full-field ERGs [45] and compared these responses with the human ERGs published in the ISCEV standard [45]. Compared to human ERGs, the amplitudes of tree shrew scotopic ERGs were smaller, and the peak times were shorter (Fig. S2), although this result remains preliminary and warrants further investigation.

Fig. 5.

Fig. 5

Comparison of tree shrew and human full-field photopic electroretinograms (ERGs). Tree shrew ERGs were obtained with the RETeval device using a contact lens electrode after light adaption for 10 min. Data for tree shrews are shown as the mean ± standard deviation (shaded grey region). Human ERGs for different protocols were replotted using data extracted from the corresponding published ISCEV standards [42–45]

Discussion

This study represents the first systematic evaluation of retinal function in tree shrews using the mini-Ganzfeld RETeval system. All photopic ERG protocols, including flash, flicker, PhNR, On–Off, and S-cone recordings, produced clear and well-defined waveforms with robust components. The results serve as a useful reference for other groups using tree shrews as a mammalian model for visual neuroscience research and provide a strong foundation for investigations of neural mechanisms underlying retinal health, physiology, and diseases.

Intra-session analyses confirmed strong repeatability for flash and flicker protocols, as indicated by low coefficients of variation, minimal mean bias, high intraclass correlation coefficients, and non-significant paired comparisons. Although a small difference in flicker amplitude was detected between repeated measures, other responses were largely stable and repeatable. Inter-session repeatability was relatively modest with greater variability. Peak times were more consistent across days than amplitudes, consistent with the typically greater between-session variability in amplitudes [49]. The poorest repeatability was observed in the S-cone and PhNR protocols, likely due to the smaller number of animals with a clearly identifiable S-cone peak (n = 6) and an arbitrary single time-point (72 ms) analysis for PhNR amplitude for consistency. Additionally, the PhNR trough was less clearly defined in most cases, presumably due to the effects of prior gas anesthesia (during animal handling before starting the ERG measurements) on retinal ganglion cell activity [50].

A key strength of this manuscript is the use of multiple statistical metrics, including CoV, ICC, mean bias, and repeated-measures ANOVA, to evaluate the intra- and inter-session repeatability of ERGs in tree shrews [51]. Tree shrews are diurnal and phylogenetically closer to humans than rodents, with fundamental differences in retinal organization [52, 53]. Therefore, direct comparisons of absolute ERG amplitudes and peak times are less appropriate, but comparisons of repeatability metrics are still informative. Using contact lens electrodes, Bayer and colleagues reported the inter-session repeatability of photopic flash ERG responses in seven adult mice (6 months of age) and rats (5 months of age) over five consecutive days [54]. Under photopic conditions, the mean CoV for b-wave amplitude was 5.6% (range: 3.1–8.1%) in mice and 10.6% (range: 5.8–15.4%) in rats. Our study showed a slightly greater mean CoV (13.6%, range: 0.28–27.9%) in tree shrews. Consistent with these findings, the ICCs for flash ERG b-wave amplitude were lower in tree shrews (peak time: 0.54; amplitude: 0.50) than in rats (peak time: 0.84; amplitude: 0.63) but comparable to those in mice (peak time: 0.58; amplitude: 0.60) [54].

The discrepancy in repeatability metrics between tree shrew and rodent ERGs could be partly attributed to age differences. Baylor et al. tested mice at 5–6 months, but the tree shrews in the present study were slightly younger (~ 6 weeks postnatal, 24 DVE). Age is known to be a critical biological variable that influences ERG activity in both humans [55, 56] and mice [55, 57]. Park et al.[58] recorded longitudinal ERGs in ten male mice from 5 to 70 weeks of age and showed a decrease in amplitudes and an increase in peak times with age. Interestingly, the amplitude changes were non-linear, with an initial decrease from 5 to 30 weeks, a slight increase between 30 and 50 weeks, and a subsequent decrease after 50 weeks. In contrast, our results showed no effect of age on the amplitudes and peak times of photopic ERG components during the early juvenile period (from 24 to 35 DVE) in tree shrews (Fig. 4). Although the lack of age-related effects on ERGs could be due to the narrow age range of animals, retinal function may also remain relatively stable during early postnatal development in tree shrews, despite rapid concurrent structural and physiological changes [59, 60]. Given the minimal influence of age, methodological and physiological factors likely contributed to the relatively greater inter-session variability in this study. These factors may include the variable degree of coupling between the cornea and electrode, electrode placement and impendence, or systematic physiological noise across different measurement sessions [49]. Despite some variability, the waveform morphology remained consistent across sessions (see Fig. 3), indicating stable retinal functional integrity in tree shrews during the juvenile period.

The photopic ERGs obtained from tree shrews were qualitatively similar in waveform morphology to those of humans. However, there were measurable differences in the magnitude and timing of the responses, which interacted with the state of light adaptation. Photopic ERG amplitudes in tree shrews were substantially greater than those in humans, whereas scotopic ERG amplitudes were considerably lower. For some protocols, such as the S-cone, On–Off, and PhNR, the difference was approximately an order of magnitude greater. In addition, the photopic ERGs from tree shrews exhibited shorter peak times compared to those in humans. The amplitude differences could be attributed, at least in part, to the difference in eye size between the two species. The axial length of the tree shrew eye is approximately 70% shorter than that of the human eye (approximately 7.5 mm vs 24 mm) [61]. In addition to the closer proximity of the recording electrode to the retina, the same stimulus strength in a relatively smaller tree shrew eye may produce greater retinal illuminance than in a human eye, causing greater amplitudes of photopic ERGs. A shorter eye could also allow a faster attainment of the neural activation threshold due to higher effective retinal illuminance, potentially resulting in shorter ERG peak times. Moreover, as fast-moving creatures, tree shrews are known to exhibit faster perceptual responses than humans [62].

Alternatively, the discrepancy in ERG amplitudes and peak times between tree shrews and humans could be explained by differences in the types and distribution of photoreceptors. Tree shrews are dichromatic with two cone types: short-wavelength-sensitive (SWS) cones (peak sensitivity, λmax = 428 nm) and long-wavelength-sensitive (LWS) cones (λmax = 555 nm) [63]. While most humans are trichromats with additional middle-wavelength-sensitive cones (λmax = 534 nm), they have similar peak sensitivities of SWS (λmax = 420 nm) and LWS (λmax = 563 nm) cones [64]. Tree shrews possess a cone-dominated retina (~ 95% cones), with densities ranging from 12,000/mm2 in the superior far periphery to 36,000/mm2 in the inferonasal periphery, with no specific local maxima at the central retina [24]. In contrast, humans have cone dominance only in the foveal region (local maxima), which comprises ~ 5% of the total photoreceptors, and the cone density varies from as high as ~ 199,000/mm2 (on average) in the fovea centralis to 10,000/mm2 at 20 degrees eccentricity [65–67]. The human retina is rod-dominated outside the fovea, likely explaining the stronger scotopic responses. Rod density in tree shrews ranges from 200 rods/mm2 in the superior retina to 3000–3500/mm2 in the inferior far periphery [24], whereas in humans, the fovea centralis is rod-free, and the highest rod density is found in the superior region of an elliptical ring at the eccentricity of an optic disc (176,000/mm2) [67]. Despite these anatomical differences, the close resemblance of the morphology of the tree shrew ERG waveform to that of humans underscores the translational relevance of using the tree shrew as an animal model for studies on retinal physiological mechanisms as well as retinal health and disease.

In conclusion, the portable RETeval system provides reliable measurements of ERGs in tree shrews, with excellent intra-session repeatability and modest inter-session repeatability. Despite inter-species differences in response magnitude and timing, the waveform morphology of photopic ERGs in tree shrews closely approximates that of human photopic ERGs. These findings support the use of portable ERG systems in tree shrews and lay a foundation for future applications, including studies of retinal function, disease models, and emmetropization mechanisms in this species.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

The authors thank Jordan Harris and Mahmoud KhalafAllah for technical support in handling and measuring tree shrews.

Author contributions

Safal Khanal conceptualized and designed the study, analyzed the data, supervised the project, acquired funding support, and provided resources. Timothy J. Gawne contributed to the study design and data analysis. Nilda Sanchez Castellanos performed material preparation and data collection. Rohit Dhakal analyzed the data and wrote the first draft of the manuscript. All authors reviewed the manuscript.

Funding

NEI R01 EY028578 (TJG), NEI R21 EY036536 (SK), E. Matilda Ziegler Foundation for the Blind (SK), NEI P30 EY003039 (CORE).

Data availability

The datasets generated during the study are available from the corresponding author upon reasonable request.

Declarations

Conflicts of interest

SK has received funding from Meta. TJG has several provisional patents for optical myopia control therapies and has received funding from ALCON and Meta. All other authors declare no competing interests.

Ethical approval

This study followed all applicable institutional (UAB IACUC # 22448) and/or national guidelines for the care and use of animals.

Statement of human rights

There are no human subjects in this study.

Informed consent

There are no human subjects in this study.

Statement on the welfare of animals

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. All experimental procedures using animal models were described and approved by the Institutional Animal Care and Use Committee at the University of Alabama at Birmingham (UAB) (Protocol #22448).

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rohit Dhakal and Nilda Sanchez-Castellanos are co-first authors.

References

  • 1.Constable PA, Lim JKH, Thompson DA (2023) Retinal electrophysiology in central nervous system disorders. A review of human and mouse studies. Front Neurosci 17:1215097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Brown KT (1968) The eclectroretinogram: its components and their origins. Vision Res 8:633–677 [DOI] [PubMed] [Google Scholar]
  • 3.Chiang T-K, White KM, Kurup SK, Yu M (2022) Use of visual electrophysiology to monitor retinal and optic nerve toxicity. Biomolecules Basel 12:1390 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Schaeffel F, Swiatczak B (2024) Mechanisms of emmetropization and what might go wrong in myopia. Vision Res 220:108402 [DOI] [PubMed] [Google Scholar]
  • 5.Troilo D, Smith EL 3rd, Nickla DL et al (2019) IMI: report on experimental models of emmetropization and myopia. Invest Ophthalmol Vis Sci 60(3):M31–M88 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Riddell N, Murphy MJ, Crewther SG (2021) Electroretinography and gene expression measures implicate phototransduction and metabolic shifts in chick myopia and hyperopia models. Life (Basel) 11:501 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wan W, Chen Z, Lei B (2020) Increase in electroretinogram rod-driven peak frequency of oscillatory potentials and dark-adapted responses in a cohort of myopia patients. Doc Ophthalmol 140:189–199 [DOI] [PubMed] [Google Scholar]
  • 8.Ablordeppey RK, Lin CR, Song B, Benavente-Perez A (2024) Choroidal morphology and photoreceptor activity are related and affected by myopia development. Invest Ophthalmol Vis Sci 65:3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Greenwald SH, Kuchenbecker JA, Rowlan JS et al (2017) Role of a dual splicing and amino acid code in myopia, cone dysfunction and cone dystrophy associated with L/M opsin interchange mutations. Transl Vis Sci Technol 6:2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Khanal S, Rathod SN, Phillips JR (2020) The acute effect of atropine eye drops on the human full-field electroretinogram. Doc Ophthalmol. 10.1007/s10633-020-09806-8 [DOI] [PubMed] [Google Scholar]
  • 11.Turnbull PRK, Goodman LK, Phillips JR (2020) Global-flash mfERG responses to local differences in spherical and astigmatic defocus across the human retina. Ophthalmic Physiol Opt 40:24–34 [DOI] [PubMed] [Google Scholar]
  • 12.Khanal S, Turnbull PRK, Lee N, Phillips JR (2019) The effect of atropine on human global flash mfERG responses to retinal defocus. Invest Ophthalmol Vis Sci 60:218–225 [DOI] [PubMed] [Google Scholar]
  • 13.Gupta SK, Chakraborty R, Verkicharla PK (2022) Electroretinogram responses in myopia: a review. Doc Ophthalmol 145:77–95 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Yao Y-G, Lu L, Ni R-J et al (2024) Study of tree shrew biology and models: a booming and prosperous field for biomedical research. Zool Res 45:877–909 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Savier E, Sedigh-Sarvestani M, Wimmer R, Fitzpatrick D (2021) A bright future for the tree shrew in neuroscience research: summary from the inaugural Tree Shrew Users Meeting. Zool Res 42:478–481 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Cao J, Yang E-B, Su J-J et al (2003) The tree shrews: adjuncts and alternatives to primates as models for biomedical research. J Med Primatol 32:123–130 [DOI] [PubMed] [Google Scholar]
  • 17.Schaeffel F, Feldkaemper M (2015) Animal models in myopia research. Clin Exp Optom 98:507–517 [DOI] [PubMed] [Google Scholar]
  • 18.Norton TT (1999) Animal models of myopia: learning how vision controls the size of the eye. ILAR J 40:59–77 [DOI] [PubMed] [Google Scholar]
  • 19.Petry HM, Fox R, Casagrande VA (1984) Spatial contrast sensitivity of the tree shrew. Vision Res 24:1037–1042 [DOI] [PubMed] [Google Scholar]
  • 20.Lanfranchi FF, Wekselblatt J, Wagenaar DA, Tsao DY (2025) A compressed hierarchy for visual form processing in the tree shrew. Nature 646:872–882 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Norton TT, Wu WW, Siegwart JT Jr (2003) Refractive state of tree shrew eyes measured with cortical visual evoked potentials. Optom Vis Sci 80:623–631 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Killackey H, Wilson M, Diamond IT (1972) Further studies of the striate and extrastriate visual cortex in the tree shrew. J Comp Physiol Psychol 81:45–63 [DOI] [PubMed] [Google Scholar]
  • 23.Drenhaus U, Rager G, Eggli P, Kretz R (2006) On the postnatal development of the striate cortex (V1) in the tree shrew (*Tupaia belangeri*). Eur J Neurosci 24:479–490 [DOI] [PubMed] [Google Scholar]
  • 24.Müller B, Peichl L (1989) Topography of cones and rods in the tree shrew retina. J Comp Neurol 282:581–594 [DOI] [PubMed] [Google Scholar]
  • 25.Sajdak BS, Salmon AE, Cava JA et al (2019) Noninvasive imaging of the tree shrew eye: wavefront analysis and retinal imaging with correlative histology. Exp Eye Res 185:107683 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bullimore MA (2025) How have animal models increased our understanding of human myopia? Invest Ophthalmol Vis Sci 66:2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Xiao J, Liu R, Chen C-S (2017) Tree shrew (*Tupaia belangeri*) as a novel laboratory disease animal model. Zool Res 38:127–137 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Gorbatyuk OS, Pitale PM, Saltykova IV et al (2021) A novel tree shrew model of diabetic retinopathy. Front Endocrinol (Lausanne) 12:799711 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Yao Y-G (2017) Creating animal models, why not use the Chinese tree shrew (*Tupaia belangeri chinensis*)? Zool Res 38:118–126 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Siegwart JT Jr, Norton TT (1999) Regulation of the mechanical properties of tree shrew sclera by the visual environment. Vision Res 39:387–407 [DOI] [PubMed] [Google Scholar]
  • 31.Phillips JR, Khalaj M, McBrien NA (2000) Induced myopia associated with increased scleral creep in chick and tree shrew eyes. Invest Ophthalmol Vis Sci 41:2028–2034 [PubMed] [Google Scholar]
  • 32.Norton TT, Siegwart JT Jr, Amedo AO (2006) Effectiveness of hyperopic defocus, minimal defocus, or myopic defocus in competition with a myopiagenic stimulus in tree shrew eyes. Invest Ophthalmol Vis Sci 47:4687–4699 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Siegwart JT Jr, Norton TT (2010) Binocular lens treatment in tree shrews: effect of age and comparison of plus lens wear with recovery from minus lens-induced myopia. Exp Eye Res 91:660–669 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Sherman SM, Norton TT, Casagrande VA (1977) Myopia in the lid-sutured tree shrew (*Tupaia glis*). Brain Res 124:154–157 [DOI] [PubMed] [Google Scholar]
  • 35.Gawne TJ, Samal AV, She Z (2023) The effects of intensity, spectral purity and duty cycle on red light-induced hyperopia in tree shrews. Ophthalmic Physiol Opt. 10.1111/opo.13201 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Norton TT, Siegwart JT Jr (2013) Light levels, refractive development, and myopia: a speculative review. Exp Eye Res 114:48–57 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Khanal S, Norton TT, Gawne TJ (2021) Amber light treatment produces hyperopia in tree shrews. Ophthalmic Physiol Opt 41:1076–1086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Norton TT, Khanal S, Gawne TJ (2021) Tree shrews do not maintain emmetropia in initially-focused narrow-band cyan light. Exp Eye Res 206:108525 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Khanal S, Norton TT, Gawne TJ (2022) Limited bandwidth short-wavelength light produces slowly-developing myopia in tree shrews similar to human juvenile-onset myopia. Vision Res 204:108161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Norton TT, Amedo AO, Siegwart JT Jr (2010) The effect of age on compensation for a negative lens and recovery from lens-induced myopia in tree shrews (*Tupaia glis belangeri*). Vision Res 50:564–576 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Siegwart JT Jr, Norton TT (1994) Goggles for controlling the visual environment of small animals. Lab Anim Sci 44:292–294 [PubMed] [Google Scholar]
  • 42.Sustar M, Holder GE, Kremers J et al (2018) ISCEV extended protocol for the photopic On–Off ERG. Doc Ophthalmol 136:199–206 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Frishman LJ, Sustar M, Kremers J et al (2018) ISCEV extended protocol for the photopic negative response (PhNR) of the full-field electroretinogram. Doc Ophthalmol 136:207–211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Perlman I, Kondo M, Chelva E et al (2020) ISCEV extended protocol for the S-cone ERG. Doc Ophthalmol 140:95–101 [DOI] [PubMed] [Google Scholar]
  • 45.Robson AG, Frishman LJ, Grigg J et al (2022) ISCEV standard for full-field clinical electroretinography (2022 update). Doc Ophthalmol 144:165–177 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15:155–163 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Bartko JJ (1976) On various intraclass correlation reliability coefficients. Psychol Bull 83:762–765 [Google Scholar]
  • 48.Giavarina D (2015) Understanding Bland Altman analysis. Biochem Med (Zagreb) 25:141–151 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Hamilton R, Al Abdlseaed A, Healey J et al (2015) Multi-centre variability of ISCEV standard ERGs in two normal adults. Doc Ophthalmol 130:83–101 [DOI] [PubMed] [Google Scholar]
  • 50.Yu C, Wang X, Yang K et al (2025) Effects of different anesthetic drugs on electroretinography in mice. Sci Rep 15:16930 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.McAlinden C, Khadka J, Pesudovs K (2011) Statistical methods for conducting agreement (comparison of clinical tests) and precision (repeatability or reproducibility) studies in optometry and ophthalmology. Ophthalmic Physiol Opt 31:330–338 [DOI] [PubMed] [Google Scholar]
  • 52.Samorajski T, Ordy JM, Keefe JR (1966) Structural organization of the retina in the tree shrew (Tupaia glis). J Cell Biol 28:489–504 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Grannonico M, Miller DA, Liu M et al (2024) Comparative in vivo imaging of retinal structures in tree shrews, humans, and mice. eNeuro 11:. 10.1523/ENEURO.0373-23.2024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Bayer AU, Cook P, Brodie SE et al (2001) Evaluation of different recording parameters to establish a standard for flash electroretinography in rodents. Vision Res 41:2173–2185 [DOI] [PubMed] [Google Scholar]
  • 55.Birch DG, Anderson JL (1992) Standardized full-field electroretinography: normal values and their variation with age. Arch Ophthal 110:1571–1576 [DOI] [PubMed] [Google Scholar]
  • 56.Weleber RG (1981) The effect of age on human cone and rod ganzfeld electroretinograms. Invest Ophthal Visual Sci 20:392–399 [PubMed] [Google Scholar]
  • 57.Gresh J, Goletz PW, Crouch RK, Rohrer B (2003) Structure–function analysis of rods and cones in juvenile, adult, and aged C57BL/6 and BALB/c mice. Vis Neurosci 20:211–220 [DOI] [PubMed] [Google Scholar]
  • 58.Park JC, Persidina O, Balasubramanian G et al (2023) Effects of normal aging on the mouse retina assessed by full-field flash and flicker electroretinography. Sci Rep 13:8860 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Norton TT (2007) Experimental myopia in tree shrews. Ciba Foundation Symposium 155: myopia and the control of eye growth. John Wiley & Sons, Ltd., Chichester, UK, pp 178–209 [PubMed] [Google Scholar]
  • 60.McBrien NA, Norton TT (1992) The development of experimental myopia and ocular component dimensions in monocularly lid-sutured tree shrews (Tupaia belangeri). Vision Res 32:843–852 [DOI] [PubMed] [Google Scholar]
  • 61.Norton TT, McBrien NA (1992) Normal development of refractive state and ocular component dimensions in the tree shrew (Tupaia belangeri). Vision Res 32:833–842 [DOI] [PubMed] [Google Scholar]
  • 62.Li C, McHaney KM, Sederberg PB, Cang J (2022) Tree shrews as an animal model for studying perceptual decision-making reveal a critical role of stimulus-independent processes in guiding behavior. eNeuro 9:ENEURO.0419-22.2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Petry HM, Hárosi FI (1990) Visual pigments of the tree shrew (Tupaia belangeri) and greater galago (Galago crassicaudatus): a microspectrophotometric investigation. Vision Res 30:839–851 [DOI] [PubMed] [Google Scholar]
  • 64.Bowmaker JK, Dartnall HJ (1980) Visual pigments of rods and cones in a human retina. J Physiol 298:501–511 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Hussey KA, Hadyniak SE, Johnston RJ Jr (2022) Patterning and development of photoreceptors in the human retina. Front Cell Dev Biol 10:878350 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Curcio CA, Allen KA, Sloan KR et al (1991) Distribution and morphology of human cone photoreceptors stained with anti-blue opsin. J Comp Neurol 312:610–624 [DOI] [PubMed] [Google Scholar]
  • 67.Curcio CA, Sloan KR, Kalina RE, Hendrickson AE (1990) Human photoreceptor topography. J Comp Neurol 292:497–523 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The datasets generated during the study are available from the corresponding author upon reasonable request.


Articles from Documenta Ophthalmologica. Advances in Ophthalmology are provided here courtesy of Springer

RESOURCES