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. 2026 May 11;26:376. doi: 10.1186/s12886-026-04853-2

Retinal and choroidal changes in young adults during near work and eye closure measured by wide-field OCTA

Fangyuan Zhou 1,#, Tsering Lhamo 1,#, Yilin Yuan 1, Tianshu Yang 1, Feiyang Tan 1, Lin Tian 1, Dihao Hua 1,✉, Changzheng Chen 1,✉, Yishuang Xu 1,✉
PMCID: PMC13330205  PMID: 42115998

Abstract

Background

Myopia is a major global public health concern, and near work has been identified as a key risk factor for its onset and progression. This study aimed to evaluate short-term retinal and choroidal vascular and structural responses to near work and subsequent eye-closure rest in young adults.

Methods

Thirty medical students (aged 18–24 years) underwent wide-field swept-source OCTA at baseline, after 20, 40, and 60 min of near work, and after 10, 20, and 30 min of eye-closure rest. Vascular parameters of the nerve fiber layer vascular plexus (NFLVP), superficial vascular complex (SVC), deep vascular complex (DVC), choriocapillaris, and choroid were analyzed.

Results

During near work, NFLVP vessel density (VD) and vessel diameter index increased in the temporal 1–3 mm and 6–9 mm sectors; the 6–9 mm temporal sector remained elevated above baseline throughout rest (all p < 0.05). SVC VD, small vessel density, and vessel length density in the superior 3–6 mm sector fell below baseline during rest (all p < 0.05). Choroidal perfusion area, thickness, and stromal volume declined significantly relative to pre-rest values at 20 min of rest (all p < 0.05).

Conclusions

NFLVP perfusion in the temporal 6–9 mm sector increased during near work and remained elevated above baseline throughout the rest period; SVC perfusion in the same sector likewise remained above baseline during rest, while SVC perfusion in the superior 3–6 mm sector fell below baseline. These alterations may provide important insights into the vascular regulatory mechanisms underlying myopia development.

Keywords: Retina, Choroid, Near work, Optical coherence tomography angiography, Medical student

Introduction

Myopia has become a major global public health concern, with prevalence reaching 80–90% among young people in East and Southeast Asia and imposing an economic burden of several billion dollars worldwide due to medical costs and productivity loss [1, 2]. While myopia was once thought to stabilize in adulthood, recent studies indicate that progression does not cease after maturity but continues throughout life [3, 4]. Longitudinal studies in both university students and the general population have shown that myopia may begin and continue to progress during young adulthood [3, 5]. Evidence from numerous pediatric studies consistently identifies near work as a major risk factor for the onset and progression of myopia [6, 7]. In modern society, young adults—particularly medical students—are exposed to an increasing burden of near work activities such as writing, reading, and prolonged use of digital screens [8], which may contribute to ongoing myopic progression [9].

With advances in optical coherence tomography angiography (OCTA), retinal and choroidal microvascular structures can now be assessed in greater detail, with higher accuracy, and over wider fields. This technology enables comprehensive evaluation of blood flow and structural changes in the retina and choroid, offering new insights into the pathophysiology of myopia [10, 11]. Our previous work demonstrated reduced perfusion in retinal and choroidal capillaries among myopic eyes, and accumulating evidence further suggests that the choroid plays a critical role in ocular growth regulation and myopia development through a vision-driven retina–choroid–sclera signaling cascade [12–14]. Experimental studies in children and young adults have further reported that short-term near work (40–60 min) induces choroidal thinning and reduced choroidal perfusion [15, 16].

These prior studies have been limited to a narrow macular field—typically within the central 6 mm—a single post-task time point, and isolated choroidal or choriocapillaris parameters, leaving peripheral retinal and choroidal responses beyond this range uncharacterized. In contrast, wide-field swept-source OCTA enables imaging of both macular and peripheral regions extending to 12 mm eccentricity, capturing spatially heterogeneous vascular response patterns in peripheral regions that would otherwise be undetectable with narrower macular-confined scanning fields. Consequently, the spatiotemporal dynamics of the full retinal vascular hierarchy remain incompletely characterized, and the dynamic changes in ocular blood flow during eye-closure rest have yet to be fully explored.

In this study, we examined wide-field retinal and choroidal blood flow and thickness responses to near work in young adults (medical students). Our findings contribute to a better understanding of the role of retinal and choroidal circulation in near–work–induced myopia progression and provide new perspectives for future research and potential interventions aimed at mitigating myopia in populations with sustained near-work demands.

Methods

Study design and participants

From December 2024 to January 2025, a total of 32 university students aged 18 to 24 years were recruited for this study. All participants were in good general health and met the following inclusion criteria: (1) spherical equivalent refraction (SER) greater than − 6.00 diopters (D); (2) astigmatism less than 1.00 D; (3) best-corrected visual acuity (BCVA) better than 0.0 logMAR; (4) intraocular pressure (IOP) below 21 mmHg; (5) all repeated acquisitions were required to achieve an image quality score of ≥ 7. Exclusion criteria were as follows: (1) a history of ocular trauma, disease, or surgery; (2) current use of ophthalmic prescription medications; and (3) the presence of any major systemic diseases. All participants provided written informed consent prior to enrollment. For participants in whom both eyes met the inclusion criteria, one eye was randomly selected for inclusion. All participants provided written informed consent. The study was approved by the Ethics Committee of Renmin Hospital of Wuhan University (WDRY2024-K187) and conducted in accordance with the principles of the Declaration of Helsinki. A flowchart illustrating the study design is provided in Fig. 1.

Fig. 1.

Fig. 1

Flow chart of the study design. Of 35 subjects screened, 3 with high myopia, 2 with prior ocular surgery were excluded, leaving 30 subjects (30 eyes). Retinal and choroidal blood flow and perfusion (BFP) were measured at baseline, after 20, 40, and 60 min of near work, and after 10, 20, and 30 min of subsequent eye-closure rest

Ophthalmic examination

All participants underwent comprehensive ophthalmic examinations, including BCVA assessment, slit-lamp biomicroscopy of the anterior and posterior segments, subjective refraction (performed using RT-5100; NEDEK, Gamagori, Japan), axial length measurement (IOL Master 700; Carl Zeiss, Germany), IOP measurement (FT100 TOMEY; Nagoya, Japan), and OCTA (VG200C, SVision Imaging, China). Spherical equivalent was calculated as the sphere plus half of the cylinder.

Participants were instructed to abstain from alcohol and caffeine for at least 24 h prior to their visit. To eliminate any effects of prior visual tasks, each participant first performed at least 15 min of distance viewing (at 6 m) while wearing full refractive correction with trial lenses. OCTA imaging was then performed at baseline. This was followed by a near work task, during which all participants, under the investigator’s supervision, read the same printed English literature at a distance of 33 cm, with reading distance checked every 5 min. The reading material consisted of reading printed copies of two published English-language ophthalmology research articles, and the text was printed in a standardized format: Times New Roman, 10 pt, single-spaced, black text on white paper. Participants were required to answer relevant questions to ensure active reading. After each 20-minute reading session, participants were moved to the OCTA device for imaging. The indoor lighting was maintained at 200 to 300 lx. After completing a total of 60 min of reading, participants were asked to rest with their eyes closed, and OCTA scans were performed every 10 min during the resting period. During the rest periods, all participants remained seated, silent, and awake. The near-work durations (20, 40, and 60 min) were chosen to align with prior studies examining choroidal and retinal responses to near work [15, 16]. The subsequent eye-closure rest was monitored at 10-minute intervals (10, 20, and 30 min) to track the temporal dynamics of vascular recovery following near work.

OCTA

A swept-source OCT (SS-OCT) devicewith a central wavelength of 1050 nm was used for OCT imaging. The scanning speed was 400,000 A-scans per second. The axial optical resolution was 3.8 μm, and the axial digital resolution was 2.0 μm. The maximum scanning depth of the posterior segment was 9 mm. For each eye of every participant, a 12 mm × 15 mm macular OCTA scan centered on the fovea were obtained. The first scan was acquired in follow-up mode, and all subsequent scans used follow-up mode to ensure consistency in the scanned regions. Segmentation of each vascular layer was performed automatically by the device’s built-in software (Fig. 2). Automated segmentation of vascular layers was performed by the built-in software, including the nerve fiber layer vascular plexus (NFLVP), superficial vascular complex (SVC), deep vascular complex (DVC), choriocapillaris (CC), and choroid. Quantitative blood flow parameters were also automatically provided by the system, including vessel density (VD), small vessel density (SVD), vessel diameter index (VDI), vessel length density (VLD), perfusion area (PA), choroidal vascular volume (CVV), and choroidal stromal volume (CSV). All scans were performed between 14:30 and 17:30 each day to minimize the potential influence of diurnal variations in the choroid. All OCTA segmentation results were manually reviewed by two trained investigators and corrected where necessary.

Fig. 2.

Fig. 2

OCTA scan and regional segmentation map. Representative wide-field OCTA image of the macula with concentric rings divided into five rings (0–1 mm, 1–3 mm, 3–6 mm, 6–9 mm, and 9–12 mm). Each ring was further segmented into superior (S), inferior (I), nasal (N), and temporal (T) quadrants

Statistical analysis

All statistical analyses were performed using Python (version 3.9.6). Results are presented as mean ± standard deviation (SD) or as median values, as appropriate. Categorical variables were summarized as frequencies. The Shapiro-Wilk test was used to assess normality for each dataset. For each parameter, changes between two time points were evaluated using the paired Wilcoxon signed-rank test, applied where the distribution of within-subject paired differences violated the normality assumption. Each eye was treated as an independent sample, and paired comparisons were performed across different time points. Additionally, Cliff’s delta was calculated for each comparison to quantify the probability of distributional differences between two time points. To control for multiple comparisons, Benjamini–Hochberg false discovery rate (FDR) correction was applied within each parameter–region combination across the six pairwise comparisons. All reported p-values are FDR-adjusted, with significance defined as p < 0.05.

Few studies have reported wide-field retinal and choroidal perfusion and thickness changes during near work. Referring to similar studies [17], we assumed a significance level of 0.05, an expected statistical power of 90%, a minimum meaningful difference of 1.5%, and an intra-group standard deviation of 1.5%. Using the paired t-test, the preliminary estimated required sample size was 12 cases. Considering that the current study utilized the nonparametric Wilcoxon signed-rank test, the sample size was conservatively increased to at least 15 cases. In this study, 30 participants were finally included, meeting these requirements.

Results

A total of 30 participants (30 eyes) were included in the study, comprising 19 females and 11 males, with a mean age of 21.1 ± 1.7 years. The mean axial length was 25.20 ± 0.96 mm, the mean SER was − 3.36 ± 1.89 D, and the mean IOP was 1 15.75 ± 2.66 mm Hg, and the median SER was − 3.75 D (IQR: −4.94 to − 2.75 D).

Tables 1 and 2 show NFLVP perfusion changes during near work and rest. During near work, VD and SVD increased significantly in sectors 1T and 6T (all p < 0.05), and VDI increased in 6T (all p < 0.05); VD also increased in 9S at 20 min of near work (p = 0.046). During rest, VD and SVD declined relative to pre-rest values in sectors 1T and 6S (all p < 0.05), and VLD decreased in the temporal sectors of the 1–6 mm rings and in sectors 3I and 3S (all p < 0.05). At the end of the rest period, VD and VDI in sector 6T remained significantly elevated above baseline (p = 0.033, 0.044).

Table 1.

Median values of NFLVP vessel density (VD, %) and small vessel density (SVD, %) across time points

Variable Baseline Read20min Read40min Read60min Rest10min Rest20min Rest30min
NFLVPVDfoveal 0.046 0.029 0.041 0.058 0.058 0.020 0.018
NFLVPVD1I 5.760 5.404 6.810 6.284 6.042 6.001 5.668
NFLVPVD1N 3.435 3.180 3.386 3.417 3.157 3.099 3.469
NFLVPVD1S 7.712 6.552 6.922 7.460 7.416 7.012 6.410
NFLVPVD1T 1.967 2.738* 2.341* 2.621* 2.154# 2.055# 2.413
NFLVPVD3I 26.506 24.300 26.512 27.331 24.901 25.682# 25.857
NFLVPVD3N 35.496 32.787 36.753 35.743 33.337 34.086 35.395
NFLVPVD3S 25.354 24.698 25.812 24.982 21.873 22.802 23.500
NFLVPVD3T 9.495 9.343 9.217 10.078 9.458 9.415 9.402
NFLVPVD6I 37.145 36.622 36.560 39.321 38.464 36.285 37.003
NFLVPVD6N 80.088 78.592 80.532 80.930 79.902 78.869 79.704
NFLVPVD6S 34.029 34.592 33.441 34.822 33.089 32.444 33.497
NFLVPVD6T 12.545 12.728 13.048* 12.838* 13.416 13.115* 13.484*
NFLVPVD9I 15.385 15.916 15.992 17.124 15.570 16.285 17.095
NFLVPVD9N 54.538 55.496 56.402 56.615 56.948 55.084 56.581
NFLVPVD9S 21.069 21.820* 23.360 22.305 22.189 22.258 22.188
NFLVPVD9T 13.611 13.250 13.770 13.668 13.662 14.073 14.005
NFLVPSVDfoveal 0.046 0.036 0.041 0.058 0.058 0.020 0.018
NFLVPSVD1I 3.173 3.346 3.473 3.236 3.504 3.086 3.276
NFLVPSVD1N 2.719 2.593 2.404 2.790 2.403 2.474 2.718
NFLVPSVD1S 4.378 4.055 3.551 4.806 3.930 3.938 4.238
NFLVPSVD1T 1.647 2.364* 2.010 2.319* 1.685# 1.717# 1.713#
NFLVPSVD3I 11.850 10.739 11.341 11.992 12.023 10.866 10.239
NFLVPSVD3N 21.054 21.314 21.135 20.892 20.679 19.512 20.091
NFLVPSVD3S 12.948 12.438 12.312 11.889 10.775 10.923 10.830
NFLVPSVD3T 4.828 4.772 4.638 4.802 4.765 4.868 5.099
NFLVPSVD6I 15.277 15.483 14.630 16.500 15.144 14.710 15.266
NFLVPSVD6N 20.131 20.138 20.504 21.709 20.495 20.493 21.000
NFLVPSVD6S 14.846 15.076 14.336 14.805 14.006# 14.257# 13.980#
NFLVPSVD6T 5.280 5.582 5.512 5.509* 5.612 5.498 5.431
NFLVPSVD9I 5.609 5.364 5.152 5.577 4.912 5.117 5.721
NFLVPSVD9N 16.363 16.615 16.626 16.250 16.153 16.031 17.119
NFLVPSVD9S 7.330 8.215 7.414 7.368 7.008 7.578 8.325
NFLVPSVD9T 4.903 4.776 4.849 4.735 4.616 4.845 4.803

Abbreviations: nerve fiber layer vascular plexus (NFLVP), vessel density (VD), small vessel density (SVD),*: Statistically significant difference compared with baseline (p < 0.05)#: Statistically significant difference compared with read 60 min (p < 0.05)

Table 2.

Median values of NFLVP vessel diameter index (VDI) and vessel length density (VLD, mm/mm²) across time points

Variable Baseline Read20min Read40min Read60min Rest10min Rest20min Rest30min
NFLVPVDIfoveal 1.000 1.000 1.000 1.000 1.000 1.000 1.000
NFLVPVDI1I 1.171 1.195 1.204 1.187 1.185 1.170 1.167
NFLVPVDI1N 1.126 1.133 1.151 1.134 1.137 1.137 1.127
NFLVPVDI1S 1.204 1.185 1.204 1.223 1.208 1.217 1.211
NFLVPVDI1T 1.070 1.105 1.113 1.121 1.087 1.129 1.081
NFLVPVDI3I 1.444 1.466 1.443 1.427 1.444 1.444 1.434
NFLVPVDI3N 1.372 1.382 1.380 1.368 1.382 1.377 1.363
NFLVPVDI3S 1.384 1.404 1.407 1.417 1.423 1.407 1.399
NFLVPVDI3T 1.236 1.259 1.252 1.261 1.246 1.277 1.258
NFLVPVDI6I 1.687 1.725 1.696 1.706 1.717 1.714 1.711
NFLVPVDI6N 1.748 1.731 1.736 1.755 1.730 1.718 1.712
NFLVPVDI6S 1.631 1.640 1.637 1.635 1.705 1.637 1.639
NFLVPVDI6T 1.306 1.330* 1.346* 1.318 1.333* 1.337* 1.346*
NFLVPVDI9I 1.545 1.596 1.566 1.598 1.552 1.592 1.562
NFLVPVDI9N 1.817 1.840 1.890 1.833 1.837 1.836 1.818
NFLVPVDI9S 1.567 1.591 1.583 1.582 1.602* 1.594 1.568
NFLVPVDI9T 1.408 1.421 1.422 1.429 1.439* 1.433 1.431
NFLVPVLDfoveal 0.315 0.105 0.209 0.209 0.070 0.070 0.174
NFLVPVLD1I 5.042 5.122 5.979 5.066 5.056 5.574 4.940
NFLVPVLD1N 2.903 3.135 2.545 2.926 2.484 2.825 2.803
NFLVPVLD1S 6.481 5.188 5.754 5.818 5.700 6.053 5.651
NFLVPVLD1T 1.703 1.844 1.934 2.278 1.535# 1.612# 1.625#
NFLVPVLD3I 15.307 14.525 14.989 15.121 14.557 14.416# 14.642
NFLVPVLD3N 19.099 18.467 19.417 19.953 18.943 19.061 19.354
NFLVPVLD3S 15.029 14.697 15.127 15.023 13.596# 14.382# 14.615
NFLVPVLD3T 7.018 7.179 7.123 7.450 7.142# 6.844# 7.223
NFLVPVLD6I 19.611 19.296 19.389 20.106 19.770 19.650 19.945
NFLVPVLD6N 31.005 31.161 31.265 31.336 31.429 31.255 31.696
NFLVPVLD6S 18.706 18.529 18.769 19.233 17.769 18.079 18.256
NFLVPVLD6T 10.509 10.308 10.650 10.800 10.255# 10.227 10.916
NFLVPVLD9I 14.245 14.369 13.832 14.715 13.652 14.271 14.866
NFLVPVLD9N 25.862 25.880 26.174 26.379 26.563 26.177 26.627
NFLVPVLD9S 16.696 16.562 16.957 17.374 16.182 16.558 17.637
NFLVPVLD9T 12.463 11.597 12.615 12.289 12.132 12.333 12.313

*: Statistically significant difference compared with baseline (p < 0.05)

#: Statistically significant difference compared with read 60 min (p < 0.05)

Tables 3 and 4 present SVC and DVC perfusion changes. During near work, SVC VDI increased significantly across multiple sectors of the 1–9 mm rings (all p < 0.05). During rest, SVC VD, SVD, and VLD declined relative to pre-rest values across the 1–6 mm rings and in sector 6S (all p < 0.05). At the end of the rest period, VD, SVD, and VLD in sector 3S remained significantly below baseline (all p < 0.05), while VD and VDI in sector 6T and VD in sector 9T remained above baseline (all p < 0.05). DVC VDI increased significantly in sectors 3T, 6T, and 9T during near work (all p < 0.05).

Table 3.

Median values of SVC and DVC vessel density (VD, %) and small vessel density (SVD, %) across time points

Variable Baseline Read20min Read40min Read60min Rest10min Rest20min Rest30min
SVCSVDfoveal 10.524 9.808 10.032 11.093 9.112 9.926 9.105
SVCSVD1I 25.991 23.926 25.185 27.256 25.450# 25.286# 25.690
SVCSVD1N 27.542 25.915 25.939 27.838 23.879# 26.054# 26.769
SVCSVD1S 27.000 26.216 27.219 27.513 26.448# 24.462# 27.540
SVCSVD1T 23.154 21.620 23.316 23.723 22.019 20.375# 22.410
SVCSVD3I 26.209 24.762 24.352 25.730 25.990 22.984 24.977
SVCSVD3N 33.350 32.991 33.720 33.463 33.024 32.549 33.818
SVCSVD3S 26.372 24.192 24.730 26.169 24.567# 23.313*# 24.590*
SVCSVD3T 14.367 12.703 14.519 14.131 13.507# 13.005# 14.173
SVCSVD6I 20.219 19.747 20.095 22.068 21.213 21.125 21.841
SVCSVD6N 20.938 21.365 21.998 22.776 20.845 21.323 22.427
SVCSVD6S 21.555 21.500 21.207 22.132 20.388 20.903# 21.290
SVCSVD6T 8.735 8.344 8.642 9.043 9.027 9.275 8.812
SVCSVD9I 8.417 8.695 7.191 9.188 8.176 8.242 8.786
SVCSVD9N 19.455 19.879 19.189 20.103 19.519 19.340 20.111*
SVCSVD9S 13.313 14.224 13.908 14.148 11.812 14.237 14.011
SVCSVD9T 6.369 6.403 6.651 6.438 6.349 6.732 6.922
SVCVDfoveal 11.919 11.583 11.897 13.409 11.361 12.141 11.086
SVCVD1I 43.070 41.797 44.595 45.916 39.947# 42.042# 42.229
SVCVD1N 39.847 38.970 39.422 40.956 35.342# 37.463# 38.805
SVCVD1S 46.905 42.670 44.800 45.772 43.500# 44.614# 43.537
SVCVD1T 33.472 31.955 35.389 34.996 33.130 30.668# 32.943
SVCVD3I 47.325 44.746 45.087 46.441 47.560 44.607 45.694
SVCVD3N 60.293 59.403 60.406 60.772 59.274# 59.862# 60.372
SVCVD3S 47.074 45.583 46.978 47.785 44.164# 42.981*# 44.570*#
SVCVD3T 27.776 24.623 27.468 28.603 28.271 26.389 27.802
SVCVD6I 45.452 43.815 44.115 47.754 47.324 44.479 45.285
SVCVD6N 82.979 81.745 82.797 83.603 81.909 82.380 82.706
SVCVD6S 45.054 43.750 43.824 45.485 43.623 43.018# 43.489
SVCVD6T 18.837 18.544 19.481 19.578 19.794* 19.973* 19.945*
SVCVD9I 20.121 21.255 19.883 22.334 20.893 21.493 22.136
SVCVD9N 58.829 60.669 59.871 61.660 60.967 60.586 61.778
SVCVD9S 29.156 29.254 31.603 30.362 30.923 30.670 30.849
SVCVD9T 16.815 17.011 17.509 17.497 17.556 17.756 18.569*
DVCVDfoveal 30.610 29.711 30.863 30.705 29.225 27.680# 27.876
DVCVD1I 54.212 52.644 52.722 53.781 52.325 52.052# 53.023
DVCVD1N 55.908 55.754 54.500 56.847 55.684 55.372 55.236
DVCVD1S 54.897 54.028 55.026 54.622 54.122 52.700# 54.986
DVCVD1T 57.687 56.323 56.489 55.248 56.114 54.049*# 53.599
DVCVD3I 47.224 43.410 45.617 47.056 45.880 45.955 45.922
DVCVD3N 42.892 43.344 43.766 44.663 43.523 42.532 45.238
DVCVD3S 48.527 46.749 48.521 49.323 48.932 46.933# 49.567
DVCVD3T 55.952 53.462 55.800 55.873 54.317 53.893 54.557
DVCVD6I 30.745 27.284 26.447 29.603 28.980 29.597 29.665
DVCVD6N 14.181 14.222 14.344 15.343 15.046 15.061 15.698
DVCVD6S 36.788 35.764 34.669 35.989 35.272 32.074 37.138
DVCVD6T 47.387 45.837 46.934 48.051 47.557 46.889 47.255
DVCVD9I 33.191 33.204 31.078 34.382 33.450 34.531 34.729
DVCVD9N 16.421 17.880 16.135 14.663 20.482# 18.864 19.821#
DVCVD9S 41.524 43.465 42.657 43.003 41.333 41.138 44.099
DVCVD9T 32.037 33.020 33.835 35.668 32.909 34.918 35.252

Abbreviations: superficial vascular complex (SVC), deep vascular complex (DVC), vessel density (VD)

*: Statistically significant difference compared with baseline (p < 0.05)

#: Statistically significant difference compared with read 60 min (p < 0.05)

Table 4.

Median values of SVC and DVC vessel diameter index (VDI) and vessel length density (VLD, mm/mm²) across time points

Variable Baseline Read20min Read40min Read60min Rest10min Rest20min Rest30min
SVCVDIfoveal 1.153 1.151 1.165 1.156 1.186 1.158 1.137
SVCVDI1I 1.274 1.281* 1.286 1.271 1.277* 1.283 1.259
SVCVDI1N 1.251 1.256 1.252 1.257 1.265 1.253 1.236
SVCVDI1S 1.283 1.299 1.306 1.313 1.306 1.296 1.289
SVCVDI1T 1.227 1.243 1.242 1.214 1.232 1.226 1.219
SVCVDI3I 1.438 1.444* 1.427 1.435 1.453* 1.447 1.410
SVCVDI3N 1.374 1.385 1.386 1.370 1.389* 1.385 1.359
SVCVDI3S 1.380 1.397* 1.406* 1.420 1.423* 1.402* 1.398
SVCVDI3T 1.285 1.294 1.304 1.289 1.330*# 1.311 1.301*
SVCVDI6I 1.640 1.633 1.618 1.646 1.650 1.649 1.663
SVCVDI6N 1.720 1.709 1.714 1.727 1.706 1.717 1.683
SVCVDI6S 1.549 1.573* 1.562 1.573 1.588 1.551 1.553
SVCVDI6T 1.331 1.363* 1.354* 1.342 1.359* 1.361* 1.348*
SVCVDI9I 1.536 1.541 1.548 1.548 1.550 1.560 1.536
SVCVDI9N 1.784 1.796 1.840 1.806 1.805 1.801 1.784
SVCVDI9S 1.515 1.532 1.550 1.532 1.571* 1.539 1.526
SVCVDI9T 1.408 1.432 1.428 1.435 1.438* 1.447 1.443
SVCVLDfoveal 8.144 7.606 8.039 8.494 7.131 8.508 7.865
SVCVLD1I 25.399 24.582 25.591 26.814 25.660# 24.511# 25.799
SVCVLD1N 25.140 23.909 24.162 25.167 22.224# 23.104# 24.220
SVCVLD1S 27.173 25.260 26.432 25.926 24.794# 24.756 26.096
SVCVLD1T 22.955 22.415 23.267 23.459 21.371# 21.564# 21.793
SVCVLD3I 24.074 23.460 23.897 24.203 23.947 22.523 23.828
SVCVLD3N 30.247 28.852 30.133 30.914 29.561# 29.909 30.475
SVCVLD3S 24.917 23.656* 23.902 24.793 22.670*# 23.220*# 24.402*
SVCVLD3T 18.384 17.707 18.225 18.634 17.140# 17.824# 18.169
SVCVLD6I 24.011 23.741 23.482 24.716 24.194 24.421 24.711
SVCVLD6N 32.303 32.562 32.662 32.756 32.995 32.853 33.492
SVCVLD6S 24.682 24.215 24.177 24.561 23.586 24.146 24.309
SVCVLD6T 15.834 15.004 16.011 16.267 16.238# 16.156 16.404
SVCVLD9I 19.345 19.340 18.525 19.509 19.085 19.140 19.461
SVCVLD9N 28.387 28.194 28.406 28.257 28.556 28.559 29.173#
SVCVLD9S 23.211 23.187 23.551 23.929 23.015 23.734 24.445
SVCVLD9T 16.643 16.219 17.110 17.223 17.097 17.063 17.137
DVCVDIfoveal 1.249 1.258 1.241 1.279 1.228 1.267 1.274
DVCVDI1I 1.295 1.314 1.299 1.299 1.305 1.310 1.294
DVCVDI1N 1.293 1.300 1.301 1.304 1.309 1.296 1.303
DVCVDI1S 1.291 1.302 1.307 1.301 1.324 1.306 1.318
DVCVDI1T 1.289 1.296 1.306 1.295 1.304 1.298 1.295
DVCVDI3I 1.305 1.304 1.306 1.298 1.307 1.310 1.298
DVCVDI3N 1.305 1.305 1.309 1.309 1.318 1.303 1.307
DVCVDI3S 1.306 1.315 1.307 1.306 1.301 1.295 1.298
DVCVDI3T 1.292 1.301* 1.300* 1.295 1.296* 1.305* 1.293
DVCVDI6I 1.308 1.308 1.312 1.302 1.307 1.304 1.309
DVCVDI6N 1.312 1.321 1.328 1.319 1.321 1.311 1.316
DVCVDI6S 1.296 1.305 1.297 1.302 1.307* 1.299 1.305
DVCVDI6T 1.292 1.307* 1.304* 1.299 1.301* 1.295 1.295
DVCVDI9I 1.317 1.312 1.326 1.328 1.313 1.317 1.318
DVCVDI9N 1.316 1.320 1.316 1.323 1.323 1.318 1.319
DVCVDI9S 1.307 1.312 1.311* 1.315 1.320 1.307 1.307
DVCVDI9T 1.300 1.310* 1.309 1.306 1.311 1.306 1.296
DVCVLDfoveal 11.709 10.835 11.340* 12.478 11.011 11.185* 10.905
DVCVLD1I 29.712 28.256 28.127 29.805 28.061# 27.934# 27.751
DVCVLD1N 29.846 29.048 27.986 29.617 28.561# 29.146 29.442
DVCVLD1S 29.851 28.752 29.518 29.822 28.297# 28.355*# 28.675
DVCVLD1T 30.299 29.408 29.260 29.420 29.352 28.296# 28.797
DVCVLD3I 24.583 23.034 23.157 24.633 24.183 24.381 25.174
DVCVLD3N 24.362 24.573 23.799 24.543 23.718 24.275 25.905
DVCVLD3S 24.959 24.828 25.434 25.276 24.707 24.341 27.112
DVCVLD3T 28.398 27.369* 27.786 27.451 26.694* 27.082 28.065
DVCVLD6I 20.517 19.404 18.739 20.785 20.565 20.471 20.826
DVCVLD6N 13.314 13.732 12.707 13.724 14.013 14.129 14.927
DVCVLD6S 22.873 21.863 20.635 22.478 22.436 21.532 22.058
DVCVLD6T 26.804 25.804 26.995 26.903 25.977 27.043 27.894
DVCVLD9I 26.304 25.795 23.818 26.641 25.303 26.332 27.235
DVCVLD9N 17.413 19.410 17.375 16.888 17.605 18.641 19.058#
DVCVLD9S 29.546 28.674 27.888 29.635 28.208 29.007 29.878
DVCVLD9T 26.379 26.891 27.547 28.040 26.659 27.864 29.222

Abbreviations: superficial vascular complex (SVC), deep vascular complex (DVC), vessel diameter index (VDI), vessel length density (VLD)

*: Statistically significant difference compared with baseline (p < 0.05)

#: Statistically significant difference compared with read 60 min (p < 0.05)

Tables 5 and 6 display choroidal changes. CC VD in sector 1T was significantly elevated above baseline at 10 min of rest (5p = 0.030). Choroidal PA increased significantly in sector 6N during near work (all p < 0.05). At 20 min of rest, choroidal PA, CT, and CSV declined significantly relative to pre-rest values across multiple regions (all p < 0.05).

Table 5.

Median values of choriocapillaris vessel density (CC VD, %) and choroidal perfusion area (PA, mm²) and thickness (µm) across time points

Variable Baseline Read20min Read40min Read60min Rest10min Rest20min Rest30min
CCVDfoveal 72.826 73.130 74.230 74.694 76.631 73.895 75.002
CCVD1I 78.768 78.883 78.885 79.383 77.061 79.054 79.957
CCVD1N 74.467 75.935 78.195 76.917 77.339 75.476 76.019
CCVD1S 77.143 77.004 79.424 77.801 78.667 78.675 78.780
CCVD1T 73.567 73.348 74.959 72.608 74.576* 73.491 75.230
CCVD3I 77.332 77.474 76.645 77.631 78.275 76.586 76.015
CCVD3N 78.874 78.883 79.954 79.766 77.747 78.172 79.116
CCVD3S 78.489 78.617 79.001 79.164 79.283 78.420 79.506
CCVD3T 77.792 75.918 77.101 78.711 79.637 76.743 79.393
CCVD6I 77.175 75.464 76.098 76.927 77.840 76.534 77.262
CCVD6N 73.602 74.057 74.953 74.742 73.675 72.156 73.571
CCVD6S 79.434 79.252 80.478 80.366 80.521 79.051 79.602
CCVD6T 78.646 79.566 74.845 78.892 78.523 78.041 78.298
CCVD9I 72.563 70.953 70.520 72.309 70.699 72.583 72.547
CCVD9N 68.817 70.343 70.053 70.386 67.853 66.890 69.085
CCVD9S 77.896 76.522 78.259 77.865 78.005 77.003 77.447
CCVD9T 78.301 77.487 78.037 78.503 75.833 72.828 77.518
ChoroidPAfoveal 0.763 0.764 0.769 0.769 0.764 0.746# 0.762
ChoroidPA1I 1.514 1.516 1.540 1.523 1.516 1.507 1.528
ChoroidPA1N 1.501 1.496 1.523 1.526 1.488 1.490# 1.503
ChoroidPA1S 1.509 1.484 1.517 1.523 1.530 1.490 1.514
ChoroidPA1T 1.484 1.485 1.532 1.504 1.509 1.472 1.492
ChoroidPA3I 5.000 5.000 5.183 5.074 5.000 5.000# 5.000
ChoroidPA3N 5.000 5.000 5.132 5.064 5.000 5.000# 5.000
ChoroidPA3S 5.133 5.126 5.160 5.165 5.187 5.000# 5.119
ChoroidPA3T 5.056 5.125 5.159 5.183 5.120 5.057 5.130
ChoroidPA6I 8.313 8.304 8.398 8.371 8.332 8.147 8.316
ChoroidPA6N 7.093 7.369 7.453* 7.499* 7.437 7.197 7.320
ChoroidPA6S 8.509 8.485 8.555 8.542 8.522 8.302# 8.525
ChoroidPA6T 8.529 8.603 8.639 8.653 8.537 8.572 8.547
ChoroidPA9I 11.183 10.922 10.721 11.277 11.075 11.097 11.034
ChoroidPA9N 10.253 10.448 10.556 10.359 10.384 10.270 10.307
ChoroidPA9S 11.953 12.000 11.840 11.884 11.895 11.670 11.962
ChoroidPA9T 11.871 11.880 12.000 11.982 11.998 11.964 11.952
ChoroidThicknessfoveal 268.484 276.649 279.534 278.779 277.237 281.815# 289.344
ChoroidThickness1I 277.852 280.151 283.300 287.814 283.003 287.808 295.205
ChoroidThickness1N 240.887 245.272 245.089 242.492 238.684 240.004# 245.778
ChoroidThickness1S 286.410 295.241 300.403 298.149 296.148# 293.824 303.787
ChoroidThickness1T 291.978 297.452 301.547 305.334 306.503 310.902# 316.964
ChoroidThickness3I 283.411 291.223 291.207 292.156 295.077# 291.157# 299.717
ChoroidThickness3N 209.652 211.578 208.916 207.990 208.033# 208.343# 216.324
ChoroidThickness3S 299.979 312.226 317.087 313.344 317.132 315.820 333.286
ChoroidThickness3T 313.365 315.069 315.526 322.070 320.964 319.505# 327.271
ChoroidThickness6I 268.248 275.745 276.285 277.221 273.570 276.081# 280.264
ChoroidThickness6N 165.171 167.894 167.260 172.910 168.931 167.007# 174.209
ChoroidThickness6S 316.807 323.674 324.918 322.169 322.338 322.385 332.132
ChoroidThickness6T 315.976 316.960 322.867 321.353 326.601 324.992# 326.730
ChoroidThickness9I 232.778 235.637 247.111 237.440 236.376 237.331# 246.216
ChoroidThickness9N 192.186 199.356 193.116 205.163 198.027 197.452 206.043
ChoroidThickness9S 304.029 307.405 306.225 319.442 306.050 307.296 304.051
ChoroidThickness9T 302.484 301.077 308.112 308.080 307.784 306.790# 313.655

Abbreviations: choriocapillaris (CC), perfusion area (PA)

*: Statistically significant difference compared with baseline (p < 0.05)

#: Statistically significant difference compared with read 60 min (p < 0.05)

Table 6.

Median values of choroidal stromal volume (CSV, mm³) and choroidal vascular volume (CVV, mm³) across time points

Variable Baseline Read20min Read40min Read60min Rest10min Rest20min Rest30min
CSVfoveal 0.100 0.110 0.111 0.108 0.107 0.108 0.114
CSV1I 0.209 0.214 0.220 0.224 0.226 0.224# 0.225
CSV1N 0.174 0.177 0.175 0.177 0.177 0.176 0.189
CSV1S 0.222 0.225 0.232 0.229 0.230 0.228 0.234
CSV1T 0.225 0.237 0.239 0.248 0.246 0.238# 0.251
CSV3I 0.761 0.770 0.780 0.783 0.792 0.773# 0.790
CSV3N 0.472 0.480 0.480 0.487 0.493 0.486 0.530
CSV3S 0.811 0.833 0.857 0.805 0.856 0.854 0.926
CSV3T 0.847 0.851 0.892 0.890 0.932 0.887# 0.919
CSV6I 1.153 1.194 1.216 1.219 1.176 1.177# 1.216
CSV6N 0.647 0.716 0.658 0.714 0.668 0.657 0.711
CSV6S 1.472 1.490 1.547 1.520 1.528 1.523 1.572
CSV6T 1.453 1.451 1.498 1.473 1.470 1.470# 1.500
CSV9I 1.319 1.333 1.428 1.363 1.384 1.329# 1.386
CSV9N 1.038 1.153 1.044 1.158 1.109 1.097 1.213
CSV9S 1.951 2.019 2.098 2.074 2.051 2.014# 2.048
CSV9T 1.922 1.916 1.944 1.988 1.965 1.948# 2.018
CVVfoveal 0.077 0.077 0.078 0.079 0.077 0.078# 0.077
CVV1I 0.150 0.154 0.148 0.148 0.151 0.154 0.157
CVV1N 0.124 0.130 0.129 0.129 0.127 0.131 0.133
CVV1S 0.157 0.156 0.154 0.151 0.149 0.151 0.151
CVV1T 0.154 0.152 0.156 0.160 0.158 0.160 0.159
CVV3I 0.506 0.513 0.515 0.519 0.505 0.523 0.530
CVV3N 0.351 0.354 0.366 0.364 0.343# 0.358 0.361
CVV3S 0.519 0.538 0.517 0.512 0.502 0.516 0.535
CVV3T 0.558 0.553 0.550 0.556 0.552 0.550 0.561
CVV6I 0.808 0.811 0.806 0.803 0.784 0.803 0.807
CVV6N 0.425 0.448 0.424 0.455 0.422 0.433 0.448
CVV6S 0.887 0.900 0.884 0.904 0.907 0.913 0.913
CVV6T 0.916 0.902 0.875 0.886 0.871 0.907 0.919
CVV9I 0.904 0.949 0.944 0.914 0.938 0.957 0.948
CVV9N 0.712 0.723 0.712 0.718 0.721 0.720 0.753
CVV9S 1.219 1.214 1.184 1.224 1.224 1.219 1.220
CVV9T 1.186 1.180 1.137 1.195 1.149 1.178 1.257

Abbreviations: choroidal vascular volume (CVV), and choroidal stromal volume (CSV)

*: Statistically significant difference compared with baseline (p < 0.05)

#: Statistically significant difference compared with read 60 min (p < 0.05)

The temporal dynamics of all parameters across retinal layers and choroidal sectors are summarized in Fig. 3, providing an overview of directional changes and FDR-corrected significant findings reported above.

Fig. 3.

Fig. 3

Median trends of retinal and choroidal vascular parameters across seven time points during near work and eye-closure rest. Abbreviations: nerve fiber layer vascular plexus (NFLVP), superficial vascular complex (SVC), deep vascular complex (DVC), choriocapillaris (CC), vessel density (VD), small vessel density (SVD), vessel diameter index (VDI), vessel length density (VLD), perfusion area (PA), choroidal vascular volume (CVV), and choroidal stromal volume (CSV). T1, baseline; T2, reading 20 min; T3, reading 40 min; T4, reading 60 min; T5, rest 10 min; T6, rest 20 min; T7, rest 30 min. * (above line) p < 0.05 vs. T1 (baseline) * (below line) p < 0.05 vs. T4 (reading 60 min) (paired Wilcoxon signed-rank test)

Discussion

We used wide-field OCTA to dynamically evaluate changes in retinal and choroidal blood flow and thickness in young healthy adults during near work and subsequent eye-closure rest. NFLVP perfusion in the temporal 6–9 mm sector increased during near work and remained elevated above baseline throughout the rest period, while SVC perfusion in the same sector likewise remained above baseline; in contrast, SVC perfusion in the superior 3–6 mm sector fell below baseline during rest. These alterations represent acute physiological responses to visual demand. Whether such transient hemodynamic changes bear any relationship to the chronic vascular remodeling associated with myopia progression remains to be established in longitudinal studies.

Unlike the radial peripapillary capillaries (RPC) described in previous studies, the NFLVP extends into the parafoveal region, serving as a microvascular network supplying the RNFL that is highly sensitive to ischemia [18, 19]. Histological evidence has confirmed that NFLVP runs in a radial pattern, aligned with the direction of RGC axons [20]. In this study, NFLVP perfusion showed an increasing trend during near work, most prominently in the temporal region. VDI changes corresponded with perfusion increases, which may indicate that perfusion enhancement near the macula is mediated by vascular dilation [21]. During the eye-closure rest phase, NFLVP perfusion declined overall compared with pre-rest period. Notably, VD and VDI in the superior temporal 6–9 mm sector remained significantly elevated above baseline at the end of the rest period in both the NFLVP and SVC. Previous OCTA studies have not reported significant increases in retinal perfusion following near work, likely because their scanning areas were confined to within 6 mm of the fovea, leaving peripheral vascular responses beyond this range unexplored [17]. The observed elevation in VDI suggests that vascular dilation is the primary mechanism of short-term perfusion enhancement in this outer region. Compared with the macular center, the region farther from the fovea has a sparser capillary network and a higher proportion of large vessels [22, 23], enabling vascular dilation to induce a more pronounced increase in blood flow, which may explain the outer ring perfusion enhancement observed in this study.

Notably, in the 3 S sector, VD, SVD, and VLD of the SVC were all reduced below baseline levels during rest, most prominently at 20 min of rest. During eye-closure rest, the withdrawal of photic input — which serves as a key driver of tonic inner retinal perfusion — combined with the intrinsically higher vascular resistance of superior retinal vessels [24], likely accounts for the more pronounced below-baseline hypoperfusion in this sector, reflecting regional heterogeneity in neurovascular coupling [25, 26]. Retinal metabolic activity, particularly in the photoreceptor layer, decreases significantly during eye closure — due to suspended visual signal processing, reduced neuronal excitability, and lower oxygen and glucose consumption [27] — further driving the perfusion decline observed across the rest period. These cyclic fluctuations—characterized by increased ocular perfusion during near work and decreased perfusion during rest—constitute acute physiological responses to visual demand. However, it remains unclear whether repeated or prolonged exposure to such hemodynamic stressors induces chronic vascular remodeling or endothelial dysfunction [28]. Moreover, the potential mechanistic link between these transient perfusion changes and the progressive decline in ocular perfusion previously observed in myopic eyes warrants further investigation [12, 13].

DVC vessel density showed no significant changes relative to baseline at nearly all time points and regions. Regional differences in perfusion responses are also closely linked to the metabolic activity and vascular architecture of retinal layers [26]. SVC vessels are mainly derived from arterioles, serving as the primary channels of retinal arterial inflow, whereas the DVC lies beneath, vertically connected to the SVC through capillaries and primarily responsible for venous outflow [19, 29]. Functional hyperemia in the retina, triggered by neuronal activity under light stimulation, is driven principally by active arteriolar dilation [22, 27]. Therefore, compared with the SVC, the DVC exhibited smaller perfusion changes during near work.

Unlike retinal perfusion, which is driven primarily by local neurovascular coupling in response to neuronal metabolic demand [27], choroidal blood flow is governed predominantly by autonomic control [30]. Although distinct in their regulatory origins, these two systems respond in a complementary fashion to jointly maintain posterior ocular homeostasis under varying visual demands. At 20 min of rest, choroidal PA, CT, and CSV declined significantly relative to pre-rest values across multiple regions. Unlike the retina, the choroid lacks direct metabolic autoregulation; its blood flow is governed primarily by central autonomic circuits, with parasympathetic fibers from the pterygopalatine ganglion mediating vasodilation and sympathetic fibers from the superior cervical ganglion mediating vasoconstriction [30]. Notably, the decline in CT was more consistent with the reduction in CSV than with any change in CVV, suggesting that thinning may be driven primarily by stromal contraction rather than vascular lumen collapse. The choroid contains NVSMCs within the stromal compartment whose contraction can thin the choroid independently of luminal blood flow [31]; parasympathetic terminals synapsing on NVSMCs release nitric oxide, which acts as a smooth muscle relaxant and may modulate choroidal thickness by regulating NVSMC tone [31]. Prior studies have shown that the regional distribution of accommodation-induced choroidal thinning corresponds closely to the known distribution of NVSMCs, further implicating these cells in choroidal thickness regulation [32]. Upon cessation of near work, the reduction in pterygopalatine parasympathetic input may decrease nitric oxide release onto NVSMCs, allowing stromal contraction and the consequent reductions in CSV and CT.

This study has several limitations. First, dynamic IOP monitoring was not performed, as noncontact tonometry caused participant anxiety and disrupted the OCTA procedure; thus, short-term IOP fluctuations influencing structural and perfusion changes cannot be fully excluded. Second, the durations of both the near-work task and the rest period were relatively short, and residual differences in accommodative response may have influenced vascular outcomes; future studies should extend the experimental duration and incorporate objective real-time accommodative measurement. In addition, eye closure was selected as the sole rest modality. This represents a controlled “physiological extreme” condition characterized by the complete absence of photic input, which fully suppresses light-driven tonic inner retinal neuronal activity and thereby isolates neurovascular coupling mechanisms from the confounding influence of ongoing visual stimulation. Although eye closure differs from typical everyday rest conditions such as distance viewing, it provides a clean experimental contrast to the visual-demand state induced by near work. Consequently, the vascular changes observed during the rest phase cannot be attributed solely to recovery from near work and may equally reflect the ocular physiological response to the absence of visual stimulation. Whether eye closure and distance viewing exert differential effects on ocular vascular recovery remains to be determined, and we plan to explore this comparison in future work. Third, physiological variables such as mood, heart rate, blood pressure, and hydration status were not systematically recorded, and individual variability in these factors may have interfered with the observed changes. Finally, given the inherent limitations of OCTA-based segmentation, choroidal structural alterations may not be fully captured by CSV and CVV measurements, and more advanced high-resolution imaging modalities are needed to characterize fine-scale hemodynamic and microarchitectural changes within the choroidal vasculature.

In conclusion, this study demonstrated the acute effects of near work on retinal and choroidal perfusion and thickness, and confirmed distinct response patterns and recovery rates across different vascular and structural layers. VD and VDI of the NFLVP in the temporal 6–9 mm sector increased during near work and remained significantly elevated above baseline in the rest period, with SVC VD and VDI in the same sector likewise remaining above baseline during rest; in contrast, VD, SVD, and VLD of the SVC in the superior 3–6 mm sector fell below baseline levels during rest. CT and CSV declined significantly relative to pre-rest values at 20 min of rest. These findings characterize the acute hemodynamic responses of the retina and choroid to near work and eye-closure rest. Whether repeated exposure to such transient changes contributes to the chronic vascular alterations observed in myopic eyes remains speculative and cannot be inferred from the present short-term, cross-sectional design; longitudinal studies incorporating refractive and structural outcomes are needed to address this question.

Acknowledgements

None.

Author contributions

Fangyuan Zhou and Tsering Lhamo contributed equally to this work. Fangyuan Zhou and Tsering Lhamo were responsible for study conception and design. Data collection was performed by Fangyuan Zhou, Tsering Lhamo, Yilin Yuan, Tianshu Yang, Feiyang Tan, and Lin Tian. Fangyuan Zhou and Tsering Lhamo conducted the data analysis and interpretation.Fangyuan Zhou drafted the initial manuscript. Dihao Hua, Changzheng Chen, and Yishuang Xu provided critical revisions and overall supervision of the study. All authors approved the final version of the manuscript.

Funding

This study was supported by the National Natural Science Foundation of China (No. 42301486 and No. 42201457).

Data availability

The data that support the findings of this study are available from the corresponding author, YX, upon reasonable request.

Declarations

Ethics approval and consent to participate

Ethics approval for this study was obtained from the Clinical Research Ethics Committee, Renmin Hospital of Wuhan University (WDRY2024-K187). Written informed consent was obtained from all participants prior to enrollment in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

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

Fangyuan Zhou and Tsering Lhamo contributed equally to this work.

Contributor Information

Dihao Hua, Email: 277058240@qq.com.

Changzheng Chen, Email: chenchangzheng@whu.edu.cn.

Yishuang Xu, Email: 540282252@qq.com.

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Associated Data

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

Data Availability Statement

The data that support the findings of this study are available from the corresponding author, YX, upon reasonable request.


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