原发性开角型青光眼黄斑区视网膜内层结构和功能的关系

Central visual function and inner retinal structure in primary open-angle glaucoma 原发性开角型青光眼黄斑区视网膜内层结构和功能的关系 1 2 first-author 1 3 1 1 4 corresp ‡Corresponding Author ‡Corresponding Author †E-mail:yuanboliang@126.com †E-mail:yuanboliang@126.com yuanboliang@126.com Clinical and Epidemiological Eye Research Center, Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, China Clinical and Epidemiological Eye Research Center, Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, China Department of Ophthalmology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China Department of Ophthalmology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China Ferkauf Graduate School of Psychology, Albert Einstein College of Medicine Campus, Yeshiva University, New York 10461, USA Ferkauf Graduate School of Psychology, Albert Einstein College of Medicine Campus, Yeshiva University, New York 10461, USA Global Eye Health, Centre for Public Health, Queens University, Belfast BT71NN, UK Global Eye Health, Centre for Public Health, Queens University, Belfast BT71NN, UK To investigate associations between central visual function and inner retinal structure in primary open-angle glaucoma (POAG). This study enrolled 78 POAG patients and 58 healthy controls. POAG was classified into early glaucoma and moderate to advanced glaucoma. The following tests were performed on all participants: isolated-check visual evoked potential (icVEP) testing, 24-2 standard automated perimetry (SAP), and Cirrus optical coherence tomography (OCT) examinations. Signal-to-noise ratio (SNR) measures obtained from icVEP responses to isolated checks presented at four depths of modulation (DOMs; 8%, 14%, 22%, and 32%) were explored. Mean macular sensitivity (mMS) was assessed by calculating the mean sensitivities of central 12 SAP points. Ganglion cell layer+inner plexiform layer thickness (GCL+IPLT) and peripapillary retinal nerve fiber layer thickness (pRNFLT) were measured by OCT scanning. For each group of subjects, linear relationships among the following measures were analyzed: SNR, mMS, GCL+IPLT, and pRNFLT. SNR, mMS, GCL+IPLT, and pRNFLT were all more significantly decreased in glaucoma than in controls ( P < 0.001). A significant positive association was found between SNR at 14% DOM and GCL+IPLT at the inferior sector in early glaucoma ( r =0.465, P =0.004). In moderate to advanced glaucoma, significant correlations were found between SNR at 32% DOM and mean GCL+IPLT ( r =0.364, P =0.023), superior GCL+IPLT ( r =0.358, P =0.025), and mean pRNFLT ( r =0.396, P =0.025). In addition, in moderate to advanced glaucoma, there were significant correlations between mMS and all relevant measures of retinal thickness ( r =0.330–0.663, P < 0.010). In early glaucoma, significant correlations were found between mean mMS and minimum GCL+IPLT ( r =0.373, P =0.023), and between inferior mMS and superior GCL+IPLT ( r =0.470, P =0.003). Linear models provided a good explanation for the relationship between SNR and inner retinal thickness (IRT), whereas nonlinear models better explained the relationship between mMS and IRT. In early glaucoma, both SNR and mMS were related moderately and significantly to IRT, whereas in moderate to advanced glaucoma, mMS was more strongly correlated with IRT than SNR. 目的 2 探讨原发性开角型青光眼(POAG)患者黄斑区视网膜内层结构和功能的关系. 创新点 2 POAG的潜在原因是视网膜神经节细胞(RGC)的丢失.虽然在传统上我们可以通过测量视网膜后极部约30°的结构和功能来评估青光眼性视神经损害,但是50%的RGC存在于黄斑区4.5 mm范围内.本研究关注黄斑区约10°范围视网膜结构和功能的关系,有助于更早地监测到青光眼性视神经损害. 方法 2 本研究纳入了78例POAG患者及58例健康对照者,其中POAG分为早期青光眼(EG)和中晚期青光眼(AG).所有受试者均进行了以下检测:分离格栅视觉诱发电位(icVEP)、标准自动视野计(SAP)及光学相干断层扫描(OCT).icVEP检测时给予8%、14%、22%及32%对比度刺激,采集相应的信躁比(SNR).黄斑区视野敏感度(mMS)通过计算黄斑中心12点的敏感度平均值获得.OCT扫描包括视网膜神经节细胞层+内丛状层的平均厚度(GCL+IPLT)及视盘周围神经纤维层平均厚度(pRNFLT).我们比较了各组间SNR、mMS、GCL+IPLT及pRNFLT值,并分析了结构性指标和功能性指标之间的相关性. 结论 2 POAG组患者的SNR、mMS、GCL+IPLT及pRNFLT均较正常对照组显著下降(所有 P 值 < 0.001).在早期青光眼中,SNR及mMS均与视网膜内层厚度呈中度相关;而在中晚期青光眼中,mMS与视网膜内层厚度呈高度相关. Isolated-check visual evoked potential (icVEP) Primary open-angle glaucoma (POAG) Optical coherence tomography (OCT) Standard automated perimetry (SAP) 分离格栅视觉诱发电位(icVEP) 原发性开角型青光眼(POAG) 光学相干断层扫描(OCT) 标准自动视野计(SAP) Introduction 1 The underlying cause of glaucomatous damage to retinal structure and function in primary open-angle glaucoma (POAG) appears to be the loss of retinal ganglion cells (RGCs) and their axons (van Buskirk and Cioffi, 1992 1992 ; Quigley, 1999 1999 ; Nouri-Mahdavi et al., 2013 2013 ). Given the basis of typical pathophysiological processes, it is expected that structure and function should be related over the course of the disease. Previous studies in glaucoma, however, demonstrated a weak correlation between them (Harwerth et al., 2007 2007 , 2010 2010 ; Hood et al., 2007 2007 , 2013 2013 ). However, the focus of these visual field (VF) and optical coherence tomography (OCT) studies was primarily on the whole posterior pole rather than the macular area (i.e., peripapillary retinal nerve fiber layer thickness (pRNFLT) vs. ganglion cell layer+inner plexiform layer thickness (GCL+IPLT), 30° vs. 10° VF). According to the studies by Quigley et al. ( 1989 1989 ) and Curcio and Allen ( 1990 1990 ), nearly 50% of RGCs are concentrated within 4.5 mm of the fovea. The ganglion cell layer and inner plexiform layer (GCL+IPL) include the RGC bodies and dendrites located in the macular region, whereas the retinal nerve fiber layer (RNFL) includes the axons originating in other regions of the retina. Thus, GCL+IPLT might reflect macular structural damage better than pRNFLT. Both isolated-check visual evoked potential (icVEP) and mean macular sensitivity (mMS) applied in this study focus on the macular area and the former is a novel and objective electrophysiological tool that targets the magnocellular pathway of cortical activity, which is selectively damaged in early stage of glaucoma (Zemon et al., 2008 2008 ; Xu et al., 2017 2017 ). The latter one, mMS, is recommended for application in glaucoma detection to improve the underestimation of current glaucoma staging systems based on 24-2 (or 30-2) VFs (de Moraes et al., 2019 2019 ). However, the question as to which is better at reflecting glaucomatous functional damage remains unknown, and therefore, further research is required. The aim of the current study is to evaluate the relationship between macular functional and structural measures by analyzing the associations between icVEP signal-to-noise ratio (SNR)/mMS and OCT (GCL+IPLT)/pRNFLT with different glaucoma severities, and then to determine which of these measures is a more sensitive indicator of macular changes. To the best of our knowledge, this has not been addressed previously. Subjects and methods 1 Subjects 2 Participants attending the Eye Hospital of Wenzhou Medical University, Wenzhou, China during December 2014 and May 2015 who met the specific inclusion criteria were enrolled in this study. All participants underwent further examinations, including best corrected visual acuity (BCVA; decimal), intraocular pressure (IOP) by Goldmann applanation tonometry, slit-lamp examination, central corneal thickness (CCT) by Lenstar (LENSTAR 900, Haag-Streit AG, Switzerland), gonioscopy (GOLDMANN 905, Haag-Streit AG, Switzerland), spectral domain-OCT (SD-OCT) imaging (Cirrus, Zeiss, Dublin, CA, USA), and fundus photo (VISUCAM 200, Carl Zeiss Meditec, Inc., Jena, Germany). Two reliable standard automated perimetry (SAP; Humphrey Field Analyzer 750i, Carl Zeiss Meditec, Inc., Dublin, CA, USA) tests were performed and the second result was used for analysis. IcVEP (MKWHAMD, CN-V1.4, Huzhou Medconova Medical Technology Co., Ltd., Huzhou, China) was performed as previously described (Xu et al., 2017 2017 ). The inclusion criteria for the participants were spherical equivalent between +3.00 and −6.00 D with a cylinder correction within ±3.00 D and a BCVA better than 0.5, no intraocular surgery history within six months, no retinal disease other than POAG, opened anterior chamber angle, reliable SAP results with fixation loss of <20%, both false positive and negative errors less than 15%, and reliable icVEP results. The exclusion criteria for the subjects were: other ophthalmic or neurological conditions that could result in VF defects, a history of diabetes, corticosteroid use, secondary glaucoma, and primary angle-closure glaucoma. The specific inclusion criteria for the controls were: (1) BCVA of 0.8 or better; (2) IOP of 21 mmHg or lower; (3) no IOP elevation history; (4) the presence of normal fundus photo and reliable normal VF results. The controls should also have no history of ocular disease and no previous intraocular or laser surgery. POAG was diagnosed by glaucomatous optic nerve damage and associated glaucomatous VF defect confirmed by two reliable VF examinations. Glaucoma was classified according to Hodapp-Anderson-Parrish (HAP) criteria (Quigley, 1999 1999 ; Budenz et al., 2002 2002 ), and the moderate to advanced stages were defined as the more advanced in this study. OCT scanning 2 Cirrus OCT was used to obtain GCL+IPLT and pRNFLT. It was performed after pupil dilation. The ganglion cell analysis (GCA) algorithm (6.0 software version, Zeiss, Germany) used in this study has been described previously (Mwanza et al., 2011 2011 ). The annulus (Fig. 1a 1a ) has inner vertical and horizontal diameters of 1.0 and 1.2 mm, respectively, and outer vertical and horizontal diameters of 4.0 and 4.8 mm, respectively. The GCA algorithm identified and calculated the combined thickness of the GCL+IPL. The GCL+IPLT measures provided six wedge-shaped sectors and thicknesses of the mean, minimum, superior, and inferior sectors were analyzed in the current study (Fig. 1a 1a ). The pRNFLT used was the overall mean thickness of RNFL. Only the results with signal strength of > 6 were considered to be reliable. (a) Ganglion cell layer+inner plexiform layer thickness (GCL+IPLT) map obtained by Cirrus optical coherence tomography (OCT). (b) The central area in the Humphrey 24-2 standard automated perimetry (SAP) showing topographic correlation with the ganglion cell analysis (GCA) map, defined as the macular visual field (VF) area (within the red circle). OD: oculus dexter; OS: oculus sinister Visual field examination 2 A VF test of automatic projection perimetry with 24-2 mode was used in this study. The macular VF area was defined as the central VF area correlating topographically with the GCA map by Cirrus OCT as reported previously (Kim et al., 2014 2014 ). As the elliptical GCA sectors cover an approximate horizontal extent of 2.1° to 8.3° from the fovea and an approximate vertical extent of 1.7° to 7.0°, 12 points of macular sensitivity in the corresponding area on 24-2 SAP were selected as shown in Fig. 1b 1b . Accordingly, mMS was expressed in dB at the central 12 points. The mean value of the superior six points was defined as the superior mMS, and the mean value of the inferior six points was defined as the inferior mMS. IcVEP testing 2 IcVEP testing is a promising electrophysiological technique for early glaucoma (EG) detection. This was described in detail in a previous publication (Xu et al., 2017 2017 ). The stimuli used in the current study were the same as those in the study by Xu et al. ( 2017 2017 ) and SNR values at four increasing levels of DOM (8%, 14%, 22%, and 32%) were collected and analyzed. Each participant underwent at least two times of icVEP testing according to the manufacturers’ instructions, and the intra-individual comparisons were analyzed. Only results from intra-individual comparisons of the same eye that yielded a match ( F < 1.68) were considered to be reliable and were used for further analyses. Different response functions from a representative control and glaucoma case are shown in Fig. 2 2 . (a) IcVEP response of a control; (b) Fundus photo of a control; (c) IcVEP response of a glaucoma patient; (d) Fundus photo of a glaucoma patient. Amp: amplitude; DOM: depth of modulation; SNR: signal-to-noise ratio; VEP: visual evoked potential; OS: oculus sinister Statistical analysis 2 Comparisons of demographic and baseline characteristics between healthy controls and the different POAG subgroups were performed using the analysis of variance for continuous variables or chi -square test for dichotomy indices. The Pearson correlation coefficient was used to evaluate the relationships between structural and functional parameters. There is no agreed interpretation of the correlation coefficient. In this study, we defined that: r < 0.3 indicated a weak correlation; 0.3≤ r < 0.6, a moderate correlation; r ≥0.6, a strong correlation. Associations between SNR/mMS and (GCL+IPLT)/pRNFLT were estimated and compared by linear, quadratic, and cubic regression analyses. All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) for Windows ver. 20.0 (SPSS Inc., Chicago, IL, USA). P < 0.05 was used to determine statistical significance. Results 1 Subjects 2 A total of 136 eyes from 136 individuals (60 females, 76 males) were included in the current study, and comprised of 58 healthy controls (38 females, 20 males), 38 EG patients (14 females, 24 males), and 40 moderate to advanced glaucoma (AG) patients (8 females, 32 males). All continuous data were normally distributed in this study. The demographic and clinical characteristics of the control and POAG subgroups are compared in Table 1 1 . There was no age imbalance between groups and a significant difference in gender was observed. All measures of interest (SNR, mMS, GCL+IPLT, and pRNFLT) were negatively correlated with the severity of glaucoma (all P < 0.01). Significant differences ( P < 0.05) are highlighted in bold type. Data (except n ) are expressed as mean±standard deviation (SD). P 1 : control vs. EG; P 2 : control vs. AG; P 3 : EG vs. AG. EG: early glaucoma; AG: moderate to advanced glaucoma; OD: oculus dexter; OS: oculus sinister; BCVA: best corrected visual acuity; CCT: central corneal thickness; IOP: intraocular pressure; SAP: standard automated perimetry; MD: mean deviation; VFI: visual field index; PSD: pattern standard deviation; mMS: mean macular sensitivity; SNR: signal-to-noise ratio; DOM: depth of modulation; GCL+IPLT: ganglion cell layer+inner plexiform layer thickness; pRNFLT: peripapillary retinal nerve fiber layer thickness 2 Group 2 n 2 Age (year) 2 Gender (female/male) 2 Eye(OD/OS) 2 Spherical equivalent (D) 2 BCVA 2 CCT (μm) 2 IOP (mmHg) 9  Control 58 47.7±10.2 38/20 37/21 0.1±1.5 1.0±0.1 533.7±27.8 14.5±3.0  EG 38 51.7±13.8 14/24 18/20 −0.3±2.0 0.9±0.2 537.2±31.7 16.9±3.6  AG 40 50.0±13.5 8/32 19/21 −0.9±2.3 0.9±0.2 541.6±35.5 16.3±5.9 9   P 1 0.127 0.006 0.112 0.278 <0.001 0.574 0.001   P 2 0.344 <0.001 0.109 0.016 <0.001 0.222 0.078   P 3 0.570 0.098 0.991 0.226 0.748 0.568 0.605 9 9 2 Group 3 SAP 3 mMS (dB) 2 SNR MD (dB) VFI (%) PSD (dB) Mean Superior Inferior 8% DOM 14% DOM 9  Control −1.6±1.3 98.3±1.6 1.8±0.5 31.20±1.20 30.80±1.40 31.50±1.10 1.2±0.5 1.7±0.7  EG −3.4±1.7 94.3±3.5 3.8±1.8 29.79±1.78 29.32±2.41 30.25±2.38 0.7±0.4 1.0±0.6  AG −12.0±11.6 62.2±25.7 9.8±3.1 20.70±8.20 18.20±9.90 24.20±8.40 0.6±0.4 0.8±0.6 9   P 1 <0.001 <0.001 <0.001 <0.001 0.001 0.004 <0.001 <0.001   P 2 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001   P 3 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.358 0.063 9 9 2 Group 2 SNR 4 GCL+IPLT (μm) 2 2 Mean pRNFLT (μm) 22% DOM 32% DOM Mean Minimal Superior Inferior 9  Control 2.0±1.1 2.0±0.9 86.1±4.3 82.2±4.9 87.3±4.7 84.9±4.3 2 98.5±7.9  EG 1.4±0.6 1.6±0.9 74.1±7.0 66.4±9.6 73.1±15.1 73.1±7.3 2 76.8±12.0  AG 1.2±0.9 1.3±0.9 65.3±10.6 56.4±11.5 66.2±16.7 62.6±9.8 2 63.8±14.7 9   P 1 0.001 0.035 <0.001 <0.001 <0.001 <0.001 2 <0.001   P 2 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 2 <0.001   P 3 0.233 0.116 <0.001 <0.001 0.006 <0.001 2 <0.001 Correlations of structural and functional measurements 2 Table 2 2 shows comparisons between SNR/mMS and inner retinal thickness (IRT; including GCL+IPLT and pRNFLT). In EG, there was a significant positive correlation between SNR at 14% DOM and the inferior GCL+IPLT ( r =0.465, P =0.004). In AG, significant positive correlations were found between SNR at 32% DOM and superior GCL+IPLT ( r =0.358, P =0.025) and mean GCL+IPLT ( r =0.364, P =0.023). Significant differences ( P < 0.05) are highlighted in bold type. SNR: signal-to-noise ratio; DOM: depth of modulation; IRT: inner retinal thickness; mMS: mean macular sensitivity; EG: early glaucoma; AG: moderate to advanced glaucoma; GCL+IPLT: ganglion cell layer and inner plexiform layer thickness; pRNFLT: peripapillary retinal nerve fiber layer thickness 3 Group 3 DOM(%) 8 GCL+IPLT 2 Mean 2 Minimum 2 Superior 2 Inferior r P r P r P r P 4 Normal ( n =58) 8 −0.046 0.732 −0.113 0.398 −0.066 0.623 −0.012 0.931 14 0.048 0.723 −0.058 0.666 −0.001 0.994 0.090 0.504 22 0.065 0.628 0.069 0.605 0.024 0.860 0.109 0.415 32 0.170 0.201 0.082 0.541 0.139 0.297 0.208 0.117 4 EG ( n =38) 8 −0.037 0.830 −0.061 0.721 0.015 0.932 −0.083 0.627 14 0.303 0.068 0.309 0.062 0.084 0.622 0.465 0.004 22 0.315 0.058 0.237 0.158 0.313 0.059 0.197 0.242 32 −0.062 0.714 −0.031 0.857 −0.036 0.832 −0.073 0.669 4 AG ( n =40) 8 0.116 0.482 0.195 0.235 0.102 0.538 0.125 0.449 14 0.002 0.992 −0.058 0.725 −0.036 0.830 0.061 0.711 22 0.234 0.152 0.142 0.387 0.246 0.131 0.193 0.240 32 0.364 0.023 0.227 0.165 0.358 0.025 0.315 0.051 10 10 3 Group 3 DOM(%) 2 pRNFLT 6 mMS 2 Mean 2 Minimum 2 Superior 2 Inferior r P r P r P r P 10 4 Normal ( n =58) 8 0.178 0.196 −0.100 0.457 −0.076 0.573 −0.117 0.381 14 0.240 0.081 −0.159 0.233 −0.152 0.254 −0.148 0.269 22 0.087 0.532 −0.192 0.149 −0.179 0.179 −0.184 0.168 32 0.216 0.117 −0.091 0.497 −0.122 0.360 −0.040 0.767 4 EG ( n =38) 8 0.010 0.956 0.181 0.276 0.233 0.159 0.036 0.831 14 0.077 0.658 0.076 0.651 0.108 0.520 0.005 0.978 22 0.123 0.482 0.326 0.046 0.143 0.391 0.344 0.034 32 −0.023 0.895 −0.155 0.352 −0.240 0.147 0.010 0.952 4 AG ( n =40) 8 0.057 0.756 0.172 0.290 0.158 0.336 0.271 0.096 14 0.042 0.821 0.108 0.506 0.099 0.548 0.027 0.872 22 0.229 0.207 0.299 0.061 0.166 0.313 0.311 0.054 32 0.396 0.025 0.381 0.015 0.383 0.016 0.262 0.107 Correlations between mMS and IRT are shown in Table 3 3 . Significant correlations were obtained between them in AG with the r values varying from 0.330 to 0.663 (all P < 0.010). In EG, there was significant positive correlation between the mean mMS and minimum GCL+IPLT ( r =0.373, P =0.023), and stronger association was found between inferior mMS and superior GCL+IPLT ( r =0.470, P =0.003). Correlation models between SNR/mMS and (GCL+IPLT)/pRNFLT were evaluated by regression analysis (Table 4 4 ). The structure–function relationship was well explained with a linear model when SNR was plotted against GCL+IPLT. Linear models also explained well the relationship between SNR and pRNFLT. However, the associations between mMS and (GCL+IPLT)/pRNFLT were better explained by nonlinear regression models with higher R 2 values (Fig. 3 3 ). (a) SNR at 14% DOM vs. mean GCL+IPLT: y =−0.909+0.028 x . (b) SNR at 14% DOM vs. mean pRNFLT: y =−0.289+0.019 x . (c) Mean mMS vs. mean GCL+IPLT: y =−96.037+2.978 x −0.017 x 2 . (d) Mean mMS vs. mean pRNFLT: y =−27.390+1.233 x −0.006 x 2 . M: mean; SNR: signal-to-noise ratio; mMS: mean macular sensitivity; GCL+IPLT: ganglion cell layer+inner plexiform layer thickness; pRNFLT: peripapillary retinal nerve fiber layer thickness Significant differences ( P < 0.05) are highlighted in bold type. EG: early glaucoma; AG: moderate to advanced glaucoma; M: mean; Min: minimum; S: superior; I: inferior; mMS: mean macular sensitivity; OCT: optical coherence tomography; GCL+IPLT: ganglion cell layer+inner plexiform layer thickness; pRNFLT: peripapillary retinal nerve fiber layer thickness 3 Group 6 M-mMS 4 S-mMS 4 I-mMS 2 M-GCL+IPLT 2 Min-GCL+IPLT 2 M-pRNFLT 2 S-GCL+IPLT 2 I-GCL+IPLT 2 S-GCL+IPLT 2 I-GCL+IPLT r P r P r P r P r P r P r P Control ( n =58) 0.139 0.297 0.195 0.142 0.181 0.190 0.077 0.564 0.055 0.683 0.179 0.179 0.197 0.138 EG ( n =38) 0.251 0.133 0.373 0.023 0.215 0.215 0.154 0.361 0.306 0.066 0.470 0.003 0.019 0.912 AG ( n =40) 0.663 <0.001 0.559 <0.001 0.561 0.001 0.464 0.003 0.624 <0.001 0.622 <0.001 0.330 0.043 Data from all groups were combined. M: mean; SNR: signal-to-noise ratio; DOM: depth of modulation; mMS: mean macular sensitivity; IRT: inner retinal thickness; GCL+IPLT: ganglion cell layer+inner plexiform layer thickness; pRNFLT: peripapillary retinal nerve fiber layer thickness 2 2 SNR/mMS 2 IRT 2 Linear 2 Quadratic 2 Cubic R 2 P R 2 P R 2 P 8 SNR 2 8% DOM M-GCL+IPLT 0.132 <0.001 0.133 <0.001 0.133 <0.001 M-pRNFLT 0.157 <0.001 0.169 <0.001 0.168 <0.001 2 14% DOM M-GCL+IPLT 0.194 <0.001 0.196 <0.001 0.196 <0.001 M-pRNFLT 0.221 <0.001 0.236 <0.001 0.236 <0.001 2 22% DOM M-GCL+IPLT 0.149 <0.001 0.150 <0.001 0.151 <0.001 M-pRNFLT 0.132 <0.001 0.135 <0.001 0.135 <0.001 2 32% DOM M-GCL+IPLT 0.128 <0.001 0.128 <0.001 0.128 <0.001 M-pRNFLT 0.123 <0.001 0.123 <0.001 0.123 <0.001 2 2 M-mMS M-GCL+IPLT 0.532 <0.001 0.646 <0.001 0.646 <0.001 M-pRNFLT 0.433 <0.001 0.561 <0.001 0.561 <0.001 Discussion 1 The purpose of the current study was to investigate associations between central visual function and inner retinal structure, and to determine whether reduced inner macular thickness was reflected in icVEP responses or macular VF loss in POAG patients. Baseline characteristics of subjects showed that mMS, IRT, and SNR were significantly diminished with the severity of glaucoma, indicating damage to the RGCs in the disease process. This study also found a severity-dependent association between SNR/mMS and (GCL+IPLT)/pRNFLT. The SNR measure from icVEP testing yielded significant correlations with sectors of GCL+IPLT: SNR at 14% DOM with inferior GCL+IPLT in EG, and SNR at 32% DOM with superior GCL+IPLT. A high temporal frequency was used to modulate contrast in the icVEP test. This temporal signal is known to drive M cells strongly; the intent of its use was to target this specific visual pathway. We found that the SNR responses to the four levels of DOM performed differently in correlations with GCL+IPLT. We attribute this finding to the possibly different degrees with which these stimuli drive the different visual pathways. Stimuli with a DOM of 14% might drive large (presumably M) cells to a great extent, which appears to be vulnerable in EG (Glovinsky et al., 1991 1991 , 1993 1993 ; Zemon et al., 1995 1995 ). By contrast, stimuli with 32% DOM might reflect the responses of small (presumably P) cells, in addition to M cells (Greenstein et al., 1998 1998 ), both of which are involved in AG. In the current study, there were significant associations between mean mMS and minimum GCL+IPLT, between inferior mMS and superior GCL+IPLT in EG, and between all observed mMS and matched GCL+IPLT measures in AG. The associations between SNR and GCL+IPLT were moderate in both EG and AG (the highest correlation coefficients of 0.465 and 0.364, respectively); however, those of mMS and GCL+IPLT were comparable in EG (the highest correlation coefficient of 0.470) and generally larger in AG (the highest correlation coefficient of 0.663). The lack of agreement of these two functional measures in the correlation with structure leads to serious consideration of the underlying mechanisms. These measures reflect different functional aspects of the visual system. According to the theory of “functional reserve,” which asserts that a healthy eye has an excess number of RGCs, the VF will remain unchanged until at least 25%–30% of RGCs are lost (Quigley et al., 1989 1989 ; Bartz-Schmidt et al., 1999 1999 ; Harwerth et al., 1999 1999 ; Garway-Heath et al., 2000 2000 ; Kerrigan-Baumrind et al., 2000 2000 ). As icVEP detects visual function from RGCs at the cortical level in a “mass response” emphasizing specific visual pathways, it might catch glaucomatous information in an early stage of the disease when VF loss is undetectable. Thus, in the glaucomatous state, icVEP deficits may precede detectable VF defects. However, a somewhat puzzling finding of the current study is that in EG the magnitude of the correlation between SNR as measured by icVEP and GCL+IPLT was not higher than that between mMS and GCL+IPLT. A linear model better explained the correlation between SNR and GCL+IPLT, whereas a quadratic model better explained the association between mMS and GCL+IPLT. We speculate that the decreased mMS detected by VF testing may represent a different kind of glaucomatous damage from that detected by the diminished icVEP SNR. Thus, a combination of these measures may serve to catch more cases of EG. Another notable finding of the current study is that significant correlations between icVEP SNR and GCL+IPLT were found in certain sectors (inferior GCL+IPLT with SNR at 14% DOM in EG, superior GCL+IPLT with SNR at 32% DOM in AG). These results raise the question of whether specific subsets or regions of RGCs contribute to SNRs at specific DOMs. The amplitude and phase of steady-state VEPs are different in upper vs. lower VF stimulation (Yanashima, 1982 1982 ), and it is attributed to the different dynamics in the system under these two hemifield conditions (Gutowitz et al., 1986 1986 ). The inferior GCL+IPL is the macular sector most commonly affected in EG (Hood et al., 2013 2013 ; Nouri-Mahdavi et al., 2013 2013 ), and, therefore, its functional role is more impacted at low contrast which drives preferentially the larger RGCs. As to which structural parameter better reflects macular function, GCL+IPLT or pRNFLT, the results showed that in both EG and AG, certain GCL+IPLT measures yielded significant associations with icVEP SNR. By contrast, a significant association was found only between mean pRNFLT and SNR at 32% DOM in AG. Measures of mMS followed a similar pattern. Unlike studies that treated the entire spectrum of glaucoma patients as a singular group, we focused on subgroups defined by the extent of glaucomatous damage. The current results indicate that GCL+IPLT correlates with macular function well, and in cases of early glaucomatous damage, performs better than pRNFLT. In light of the above results, the combination of icVEP (especially SNR at 14% DOM), macular VF, and GCL+IPLT measures is recommended in clinical practice for the early detection of glaucoma. We also propose that icVEP testing (especially SNR at 32% DOM) and GCL+IPLT scanning should be included in the severity evaluation of more advanced glaucoma. Several limitations of the current study should be considered. Firstly, the design had selection bias. Only Chinese were included in this study, and the role of ethnicity in determining the correlation between structural and functional measures in POAG is unknown. Secondly, the sample size was relatively small, so we were unable to observe any overall age or gender effects. A further study with a larger number of subjects with age and gender matched should be conducted to address this issue. Aiming to better understand the relations between these various measures, further study should focus on follow-up of the structural and functional changes associated with disease progression. Conclusions 1 In conclusion, the results obtained in the current study revealed a significant severity-dependent association between structural and functional measures. The association was greatest in patients with advanced glaucomatous damage. The results also showed that, for early-stage glaucoma, a similar relationship existed between GCL+IPLT and SNR or mMS. However, for advanced glaucoma, the association between GCL+IPLT and mMS was stronger than that between GCL+IPLT and SNR. 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Novel electrophysiological instrument for rapid and objective assessment of magnocellular deficits associated with glaucoma Compliance with ethics guidelines Li-juan XU, Sha-ling LI, Yan-qian XIE, and Yuan-bo LIANG declare that they have no conflict of interest. Vance ZEMON, as a principal in VeriSci Corp. (Raritan, NJ, USA), has received a financial interest in Huzhou Medconova Medical Technology Co., Ltd., China. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5). All participants signed the consent form approved by the Eye Hospital of Wenzhou Medical University, Wenzhou, China. 10.1631/jzus.B1900506 Project supported by the Wenzhou Medical University (No. QTJ13009), the Health Innovation Talents in Zhejiang Province (2016, No. 25), and the Eye Hospital of Wenzhou Medical University (the Value of Isolated-Check Visual Evoked Potential in Glaucoma Diagnosis and Monitoring), China 2019-08-29 2020-01-07 2022-01-05 Copyright © Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature 2020 2020 Journal of Zhejiang University-SCIENCE B (Biomedicine and Biotechnology) 04 21