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Original article| Volume 68, 104255, December 2022

OCT and VEP correlate to disability in secondary progressive multiple sclerosis

Open AccessPublished:October 18, 2022DOI:https://doi.org/10.1016/j.msard.2022.104255

      Highlights

      • There is a need for new biomarkers in addition to MRI to monitor SPMS patients.
      • The afferent visual pathway offers access to the nervous system suitable for monitoring.
      • Visual evoked potentials (VEP) evaluate the integrity of the visual pathway.
      • Optic coherence tomography (OCT) measures layers of the retina with precision.
      • VEP latency and GCIPL thickness correlate with disability measured as EDSS in SPMS.

      Abstract

      Background

      The afferent visual pathway provides a unique opportunity to monitor clinical and subclinical optic neuritis and features of neuroaxonal degeneration in secondary progressive MS.

      Objective

      To investigate the usefulness of visual evoked potentials (VEP) and optical coherence tomography (OCT) in evaluating SPMS, and the association between these modalities and clinical course and lesion load on the magnetic resonance imaging (MRI) in patients with SPMS with or without a history of optic neuritis (ON).

      Methods

      SPMS patients (n = 27) underwent clinical assessment with Expanded Disability Status Scale (EDSS) grading, visual acuity, OCT, and VEP examination. MRI of the brain and spinal cord were evaluated. Ordinal scores of VEP and MRI findings were used in the statistical analyses.

      Results

      The ganglion cell and inner plexiform layer (GCIPL) and retinal nerve fiber layer (RNFL) thickness correlated with VEP latency. VEP P100 score correlated with EDSS. Linear regression showed an association between GCIPL thickness and EDSS as well as VEP P100 latency and EDSS. The MRI analyses were negative.

      Conclusion

      VEP latency and GCIPL thickness correlated with disability measured as EDSS in patients with SPMS and are useful in monitoring SPMS patients.

      Keywords

      Abbreviations

      CNS
      Central nervous system
      CIS
      Clinically isolated syndrome
      DMT
      Disease-modifying treatments
      EDSS
      Expanded Disability Status Scale
      GCL
      Ganglion cell layer
      IFNb
      Interferon-beta
      IQR
      Interquartile range
      MRI
      Magnetic resonance imaging
      MS
      Multiple sclerosis
      MSON
      Multiple sclerosis optic neuritis
      MSNON
      Multiple sclerosis no history of ON
      MSSS
      Multiple Sclerosis Severity Score
      NEDA
      No evidence of disease activity
      OB
      Oligoclonal bands
      OCT
      Optical coherence tomography
      ON
      Optic neuritis
      RRMS
      Relapsing-remitting MS
      RNFL
      Retinal nerve fiber layer
      SPMS
      Secondary progressive multiple sclerosis
      VA
      Visual acuity
      VEPs
      Visual evoked potentials

      1. Introduction

      Multiple sclerosis (MS) is a chronic neurological disorder characterized by both inflammation and degeneration in the central nervous system (CNS) (
      • Thompson A.J.
      • Baranzini S.E.
      • Geurts J.
      • et al.
      Multiple sclerosis.
      ). Most MS patients initially have a relapsing-remitting disease course (RRMS) characterized by attacks of inflammatory activity with clinical relapses or subclinical inflammation visualized by magnetic resonance imaging (MRI). Within two decades, 80% of untreated patients convert to secondary progressive multiple sclerosis (SPMS) characterized by progressively increasing neurological deficit without relapses or signs of active inflammation (
      • Weinshenker B.G.
      • Bass B.
      • Rice G.P.
      • et al.
      The natural history of multiple sclerosis: a geographically based study. I. Clinical course and disability.
      ).
      Available treatments mainly target the inflammatory components of MS, and during the last decades, several effective disease-modifying drugs have been developed and are in practical use. In contrast, effective drugs in the progressive phase are still lacking.
      Visual involvement is frequent in MS and occurs in up to 80% of patients (
      • Fisher J.B.
      • Jacobs D.A.
      • Markowitz C.E.
      • et al.
      Relation of visual function to retinal nerve fiber layer thickness in multiple sclerosis.
      ). In total, about 50% of the patients experience optic neuritis (ON) at some time point during the disease course, and it is the initial presentation of the disease in 21% (
      • Miller D.
      • Barkhof F.
      • Montalban X.
      • et al.
      Clinically isolated syndromes suggestive of multiple sclerosis, part I: natural history, pathogenesis, diagnosis, and prognosis.
      ). postmortem examinations show both retinal atrophy and inflammation even in late-stage disease (
      • Green A.J.
      • McQuaid S.
      • Hauser S.L.
      • et al.
      Ocular pathology in multiple sclerosis: retinal atrophy and inflammation irrespective of disease duration.
      ).
      The afferent visual pathway offers us a unique opportunity to study the effects of clinical and subclinical relapses and, in addition, features of neuroaxonal injury in MS patients over time.
      Optical coherence tomography (OCT) is a non-invasive high-resolution, reproducible technique that uses near-infrared light to produce imaging of the retinal architecture (
      • Oberwahrenbrock T.
      • Traber G.L.
      • Lukas S.
      • et al.
      Multicenter reliability of semiautomatic retinal layer segmentation using OCT.
      ).
      Visual evoked potentials (VEPs) have been used in clinical practice since the 1970s to assess conduction along the visual pathways with diagnostic, monitoring, and prognostic purpose (
      • Halliday A.M.
      • McDonald W.I.
      • Mushin J.
      Delayed visual evoked response in optic neuritis.
      ). VEPs provide information about the functional integrity of the visual pathway and are used to capture visual disturbances in MS (
      • Halliday A.M.
      • McDonald W.I.
      • Mushin J.
      Visual evoked response in diagnosis of multiple sclerosis.
      ). A typical waveform with preserved morphology and delayed latency suggests demyelinating lesions, although not diagnostic of MS.
      This study aims to compare sensitivity regarding the impact of the visual pathway by results of VEPs and OCT, respectively, and how findings correlate with the clinical history and the MRI lesion load in subjects with SPMS with or without a clinical history of ON.

      2. Materials and methods

      The study is a quantitative descriptive study of 28 SPMS patients who underwent clinical assessment with Expanded Disability Status Scale (EDSS) grading and OCT and VEP examination. MRI scans of the CNS were re-evaluated by the same neuroradiologist (BK).

      2.1 Subjects

      Consecutive patients (n = 28) with an MS diagnosis according to the 2010 McDonald criteria (
      • Polman C.H.
      • Reingold S.C.
      • Banwell B.
      • et al.
      Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.
      ) attending the Departments of Neurology at Linköping University Hospital and Ryhov County Hospital were recruited. All patients, except one that was later excluded, were classified as SPMS, which was validated against their clinical records. The patient that was excluded did not fulfill the criteria of SPMS. Fifteen patients were receiving Disease Modifying Treatments (DMTs), the most frequent treatment was rituximab (n = 9) followed by interferon-beta (IFNb) (n = 4), natalizumab (n = 1), and teriflunomide (n = 1).
      The patients underwent complete neurological examination, EDSS rating (
      • Kurtzke J.F.
      Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).
      ), and visual acuity (VA) measurements by the same investigator (AE). Clinical history of previous ON was noted. VEPs and OCT were performed in all patients.
      Eyes were divided into groups depending on the clinical history of ON, Multiple Sclerosis Optic Neuritis (MSON) eyes, and Multiple Sclerosis No history of Optic Neuritis (MSNON) eyes.

      2.2 Defining history of optic neuritis

      Clinical records since diagnosis were reviewed in the aspect of ON. ON confirmed by an ophthalmologist was noted. In the absence of an ophthalmologic examination, eye pain with vision loss followed by complete or partial recovery within weeks to months registered in clinical records was considered ON (
      • Polman C.H.
      • Reingold S.C.
      • Banwell B.
      • et al.
      Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.
      ;
      • Jenkins T.M.
      • Toosy A.T.
      Optic neuritis: the eye as a window to the brain.
      ). Other imprecise eye problems were not considered an ON unless an ophthalmologist's examination suggested ON as a probable cause.

      2.3 Healthy controls

      A group of 48 healthy controls (HC), 33 women, and 15 men, mean age of 49 years, underwent OCT at the Department of Neurology at Linköping University Hospital. Both patients with a diagnosis without CNS involvement and personnel working at the Departments of Neurology and Neurosurgery volunteered.

      2.4 Optical coherence tomography

      OCT measurements of RNFL- and GCIPL-thickness were obtained using spectral-domain high-definition OCT system SD Cirrus HD-OCT (model 4000; Carl Zeiss Meditec, Dublin, CA, USA), as described in detail elsewhere (
      • Nassif N.
      • Cense B.
      • Park B.H.
      • et al.
      In vivo human retinal imaging by ultrahigh-speed spectral domain optical coherence tomography.
      ;
      • Huang-Link Y.M.
      • Fredrikson M.
      • Link H
      Benign Multiple Sclerosis is Associated with Reduced Thinning of the Retinal Nerve Fiber and Ganglion Cell Layers in Non-Optic-Neuritis Eyes.
      ). The OCT investigations were assessed at the Department of Neurology, Linköping University Hospital by one operator (YL). Patients were examined in a dark room without pupil dilatation. Participants underwent the Optic Disc Cube (200 × 200 scans) and Macular Cube (512 × 128) protocols with a 6 mm rim centered at the fovea. OCT scans were visually inspected immediately upon acquisition and repeated as necessary to verify that the images were focused and centered with uniform illumination and assessed for artifacts as recommended by the OSCAR-IB Consensus Criteria for Retinal OCT Quality Assessment (
      • Tewarie P.
      • Balk L.
      • Costello F.
      • et al.
      The OSCAR-IB consensus criteria for retinal OCT quality assessment.
      ). Only scans meeting these criteria and having a signal strength 7/10 or more were used for the analysis (
      • Cruz-Herranz A.
      • Balk L.J.
      • Oberwahrenbrock T.
      • et al.
      The APOSTEL recommendations for reporting quantitative optical coherence tomography studies.
      ).

      2.5 Visual evoked potentials

      VEPs were assessed within six months from inclusion according to a validated procedure (
      American Clinical Neurophysiology S
      Guideline 9B: guidelines on visual evoked potentials.
      ).
      Electrodes were placed according to the 10–20 international system, with Oz (midline occipital electrode) as the active electrode and Fz (midline frontal electrode) as the reference. Monocular stimulation with occlusion of the other eye consisted of a checkerboard pattern with a check size of 30 min of visual angle. Contrasts were reversed at a rate of 1 Hz (1 reversal per second). At least two means of 100 noise-free sweeps were superimposed, and the total mean was considered for measurement. The latency and amplitude of the P100 component were measured. VEP amplitudes and latencies were compared with data obtained at our laboratory. Synergy Electrodiagnostic Software was used in the Nicolet® EDX apparatus (Cephalon A/S, Norresundby, Denmark).

      2.6 VEP score

      As in other studies, VEP abnormalities were quantified to a conventional 4-point graded ordinal score (
      • Di Maggio G.
      • Santangelo R.
      • Guerrieri S.
      • et al.
      Optical coherence tomography and visual evoked potentials: which is more sensitive in multiple sclerosis?.
      ;
      • Pisa M.
      • Guerrieri S.
      • Di Maggio G.
      • et al.
      No evidence of disease activity is associated with reduced rate of axonal retinal atrophy in MS.
      ). According to local normal validated data, a P100-latency >109 ms was considered abnormal. Range 0–3 points. 0 p= normal, 1 p= increased P100 latency or morphological abnormalities, 2 p= increased P100 latency plus morphological abnormalities of P100, 3 p= absence of P100.

      2.7 MRI measurements of tissue damage

      The patients underwent MRI in hospitals with a slightly different protocol. Axial T2 and FLAIR sequences and axial T1 sequence after gadolinium administration was always part of the examination. It varied from patient to patient if the series were performed with 3D technique or not. Synthetic MR sequence for evaluation of brain atrophy was performed only in one of the hospitals.
      MRI scans from all patients were reviewed by the same examiners (BK, YL) to evaluate the burden of supra- and infratentorial white matter lesions. Lesions periventricular, juxtacortical, near corpus callosum, optic radiation, brain stem, spinal cord, and cerebellum were registered. One Gadolinium-enhanced lesion was noted in a single patient. Gray matter atrophy on MRI was estimated either by measuring corpus callosum or noting other signs like prominent Sylvian fissure. In a minority of the patients, brain parenchymal fraction (BPF) was used to estimate brain atrophy (
      • Vågberg M.
      • Lindqvist T.
      • Ambarki K.
      • et al.
      Automated determination of brain parenchymal fraction in multiple sclerosis.
      ). 20 of 27 patients had an MRI scan within one year from inclusion. The other patients had MRI scans 2–7 years old.

      2.8 MRI sum score

      MRI investigations were audited, and separate areas of the CNS were reviewed and judged by points according to lesion burden and summarized to an MRI sum score. (Supplementary TABLE 1, 2,)

      3. Ethics

      The study was conducted by the principles of the Declaration of Helsinki, and all subjects were informed of the nature and the purpose of the study and gave informed consent to participate. The investigation was made in a clinical setting as a part of routine follow-up. The study was approved by the Ethical Committee of the Linköping University, Sweden 2013/1411–31.

      4. Statistics

      All analyses were performed in SPSS version 24 (IBM Corp., Armonk, NY, USA). The data from MS and HC groups, as well as from subgroups MSNON and MSON, were normally distributed. Significance was computed with non-parametric tests. Correlation analysis was performed using Pearson's coefficient (r) in continuous parameters. Analyses of ordinal scores were performed using a non-parametric Mann-Whitney U test. The correlation of ordinal scores was performed using Spearman's coefficient (ρ). Linear regression was performed to investigate the association of EDSS with parameters of OCT and VEP. ANOVA followed Bonferroni Post Hoc test was applied to analyze OCT parameters between HC and MSNON. Significance was set at <0.05.

      5. Results

      5.1 Descriptive data

      Demographic characteristics of the patient group and controls are shown in Table 1a. The HC group was somewhat younger than the study population, mean age of 49 years compared to the SPMS group of 53 years, p<0.05. The SPMS cohort has a long disease duration (mean 24 years) and thus is representative of the patient group.
      Table 1aDemographic and clinical characteristics of the study groups.
      Patients/Controls NEyesFemale/MaleAge years mean (range)EDSS median (range)Disease duration at baseline mean (range)OB in CSFNDMT NVAmean (range)
      SPMS allN = 275418/953.3* (32–76)5.0 (2.0–7.5)24 (8–42)26/27150.8 (0.3–1.6)
      HCN = 489633/1548.8 (26–72)NANANANA
      SPMS: Secondary progressive multiple sclerosis. HC healthy controls. EDSS: expanded disability status scale.
      OB: the presence of oligoclonal banding in the cerebrospinal fluid (CSF). DMT: Disease-modifying treatment. VA: Visual acuity (decimal). NA: not applicable. *SPMS significantly older than HC p<0.05.
      MSON/MSNON subjects did not differ significantly in characteristics, as seen in Table 1b. MSON had lower RNFL and GCIPL values than MSNON (p<0.01) (Table 2, Fig. 1a and 1b). VEP P100 latency was significantly longer in the MSON group than in the MSNON group (p<0.01) (Table 2, Fig. 2a), but the amplitude was not significantly different between the groups (Fig. 2b). MSON-eyes had a significantly higher VEP score than MSNON-eyes (p <0.01). One eye showed an absence of P 100, loss of signal, due to former ON and rated 3 p on VEP score. One SPMS patient did not undergo a VEP examination. Thus, in total, three eyes were missing in correlation analyses of VEP.
      Table 1bDemographic and clinical characteristics of MSON and MSNON.
      EyesWomen/MenAge years mean (range)EDSS median (range)Disease duration at baseline mean (range)OB in CSFNDMT NVA mean (range)
      MSON2517/854.5 (40–76)5.0 (3.5–7.5)26.2 (11–42)25/2513/250.7 (0.3–1.6)
      MSNON2919/1052.3 (32–76)5.0 (2.0–7.5)22.1 (8–41)27/2917/290.9 (0.4–1.6)
      SPMS: Secondary progressive multiple sclerosis. MSON: Multiple sclerosis with a history of optic neuritis. MSNON: Multiple sclerosis without a history of optic neuritis. EDSS: expanded disability status scale.
      NA: not applicable. OB: the presence of oligoclonal banding in the cerebrospinal fluid (CSF). DMT: Disease-modifying treatment. VA: Visual acuity (decimal).
      Table 2Comparison of OCT- and VEP measurements and visual acuity between the study groups.
      MS allHCMS all vs HCMSONMSNONMSON vs MSNON
      Eyes N54962529
      RNFL µm mean (SD)75.9 (13.4)89.5(8.9)p<0.0168.6(11.2)82.1 (12.1)p<0.01
      GCIPL µm mean (SD)66.3 (10.7)79.7 (5.0)p<0.0161.4(9.9)70.5 (9.7)p<0.01
      VEP eyes N512427
      VEP P100 ms mean (SD)121.2 (23.3)131.1 (24.2)112.4 (19.5)p<0.01
      VEP amp µV (SD)7.9 (5.8)6.9 (5.8)8.7 (5.8)p = 0.26
      VA mean (SD)0.83 (0.27)0.74 (0.29)0.90 (0.22)p = 0.03
      OCT: Optical Coherence Tomography. HC: Healthy controls. RNFL: Retinal nerve fiber layer. GCIPL: Ganglion cell inner plexiform layer. VEP: Visual evoked potentials. MSON: Multiple sclerosis with a history of optic neuritis (number of eyes). MSNON: Multiple sclerosis without a history of optic neuritis (number of eyes). VA: Visual acuity.
      Fig 1
      Fig. 1(a) RNFL thickness in MSON and MSNON (b) GCIPL thickness in MSON and MSNON.
      Fig 2
      Fig. 2(a) VEP P100 latency in MSON and MSNON (b) VEP amplitude in MSON and MSNON.
      Visual acuity was significantly lower in the MSON group (Tables 1b, 2).
      MRI scores did not differ in the two groups (Supplementary Table 1).
      In three cases (eyes), the laboratory tests with VEP and OCT suggested a history of ON, but since it was not noted in the clinical records, and the patients did not recognize it, those three eyes were considered not to have a history of ON although they could have undergone a subclinical ON (
      • Talman L.S.
      • Bisker E.R.
      • Sackel D.J.
      • et al.
      Longitudinal study of vision and retinal nerve fiber layer thickness in multiple sclerosis.
      ).

      5.2 Correlations

      Considering all 54 MS eyes examined GCIPL correlated to EDSS, VA, VEP latency, and VEP amplitude, and the correlation between GCIPL and VEP latency was significant in both MSON and MSNON eyes. MSON GCIPL correlated with VEP amplitude. RNFL significantly correlated with VEP P100 latency in all MS eyes as well as in MSON. RNFL and GCIPL thickness correlated with VEP score (Table 3a).
      Table 3aCorrelations OCT eyes.
      VEPAmpµVVEP P100msVEP scoreVAEDSSDDMRI score
      RNFL MSr = 0.094 p = 0.51r=−0.48 p<0.001*ρ= −0.53 p<0.001*ρ=0.25 p = 0.078ρ=−0.075 p = 0.59r= −0.23 p = 0.10ρ=−0.15 p = 0.27
      GCIPL MSr = 0.34 p = 0.02*r= −0.62 p<0.001*ρ=−0.74 p<0.001*ρ=0.30 p = 0.03*ρ=−0.32 p = 0.018*r=−0.14 p = 0.31ρ=0.042 p = 0.77
      RNFL MSNONr=−0.17 p = 0.39r=−0.25 p = 0.22ρ=−0.45 p = 0.019*ρ=0.055 p = 0.78ρ=0.024 p = 0.90r=−0.29 p = 0.12ρ=−0.16 p = 0.40
      GCIPL MSNONr = 0.13 p = 0.51r=−0.64 p<0.001*ρ=−0.74

      p<0.001*
      ρ=0.12 p = 0.54ρ=−0.35 p = 0.067r=−0.14 p = 0.49ρ=0.043 p = 0.83
      RNFL MSONr = 0.25 p = 0.24r=−0.46 p = 0.024*ρ=−0.47 p = 0.017*ρ=0.25 p = 0.23ρ=0.13 p = 0.53r = 0.081 p = 0.70ρ=0.21 p = 0.30
      GCIPL MSONr = 0.49 p = 0.016*r=−0.46 p = 0.025*ρ=−0.65 p=<0.001*ρ=0.28 p = 0.19ρ=−0.14 p = 0.50r = 0.042 p = 0.84ρ=0.34 p = 0.10
      GCIPL=ganglion cell inner plexiform layer, RNFL=retinal nerve fiber layer, MSON=Multiple sclerosis with history of optic neuritis (number of eyes), MSNON=Multiple sclerosis without a history of optic neuritis (number of eyes), VEPs=visual evoked potentials, VA=visual acuity, EDSS=expanded disability status scale, DD= disease duration, MRI= magnetic resonance imaging. * = significant result.
      VEP latency and VEP score correlated with EDSS and VEP amplitude correlated with the MRI score (Table 3b).
      Table 3bCorrelations VEPs.
      VAEDSSDD yearsMRI scoreVEPLat, (ms)VEPAmp, (µV)VEPscore
      VEP latency (ms)r=−0.16

      p = 0.29
      ρ=0.40

      p = 0.004*
      r=−0.11

      p = 0.43
      ρ=0.012

      p = 0.93
      xr=−0.31

      p = 0.030*
      ρ=0.82

      p<0.001*
      VEP amp (µV)r = 0.18, p = 0.22ρ=−0.10

      p = 0.47
      r=−0.063

      p = 0.66
      ρ =−0.29

      p = 0.037*
      r=−0.31

      p = 0.030*
      xρ=−0.40

      p = 0.003*
      VEPscoreρ=−0.25

      p = 0.076
      ρ=0.35

      p = 0.010*
      ρ=−0.24

      p = 0.86
      ρ=0.11

      p = 0.43
      ρ=0.82

      p<0.001*
      ρ=−0.40

      p = 0.003*
      x
      VEP=visual evoked potentials (latency in ms and amplitude in µV), VA=visual acuity, EDSS=expanded disability status scale, DD= disease duration, MRI= magnetic resonance imaging, * = significant result.

      5.3 Regression analyses

      Simple linear regression showed a significant association between GCIPL and EDSS (Fig. 3a) but not between RFNL and EDSS (Fig. 3b). There was also a significant association between VEP-latency and EDSS (Fig. 4a) but not between VEP-amplitude and EDSS (Fig. 4b).
      Fig 3
      Fig. 3(a) Linear regression between GCIPL and EDSS (b) Linear regression between RFNL and EDSS.
      Fig 4
      Fig. 4(a) Linear regression between VEP P100 and EDSS (b) Linear regression between VEP amplitude and EDSS.

      5.4 MRI evaluation

      MR sum score summaries are presented in Supplementary Table 2. MRI sum score did not differ between MSON and MSNON eyes. There was no correlation between MRI parameters and OCT or VEP data.

      6. Discussion

      The included patients represent a typical spectrum of SPMS with progressive disease, high EDSS (median 5, range 2.0–7.5), and MRI without contrast enhancement and with black holes. Although considered SPMS, 50% of the patients were on DMT. It is a well-known challenge to terminate treatment in progressive MS.
      Almost equally occurring were anamnestic or verified ON on one hand and the absence of these parameters on the other. Although we found significant differences between MSON and MSNON eyes with prolonged VEP latencyand thinner thickness of RFNL and GCIPL in MSON, many MSNON eyes showed structural loss of retinal axonal fibers in accordance with others (
      • Waldman A.T.
      • Liu G.T.
      • Lavery A.M.
      • et al.
      Optical coherence tomography and visual evoked potentials in pediatric MS.
      ). Some report a higher sensitivity for VEP compared to OCT in a subacute phase of ON (
      • Di Maggio G.
      • Santangelo R.
      • Guerrieri S.
      • et al.
      Optical coherence tomography and visual evoked potentials: which is more sensitive in multiple sclerosis?.
      ) or MSNON patients (
      • Grecescu M.
      Optical coherence tomography versus visual evoked potentials in detecting subclinical visual impairment in multiple sclerosis.
      ).
      There is a dispute of the pathophysiological reason for the thinning of the RNFL and GCIPL layers in eyes without a history of ON (
      • Britze J.
      • Frederiksen J.L.
      Optical coherence tomography in multiple sclerosis.
      ). The patients with SPMS could have had mild, subclinical optic neuritis. The measurements could also be affected by primary degeneration of neurons in the GCIPL with anterograde (Wallerian) degeneration of axons with thinning of RNFL reflecting global degeneration. Retrograde neuroaxonal degeneration from post-geniculate lesions could be a third reason for thinning of RNFL and GCIPL.
      • Pihl-Jensen G.
      • Wanscher B.
      • Frederiksen J.L.
      Predictive value of optical coherence tomography, multifocal visual evoked potentials, and full-field visual evoked potentials of the fellow, non-symptomatic eye for subsequent multiple sclerosis development in patients with acute optic neuritis.
      have investigated the use of OCT compared to VEP in predicting CIS to convert to clinically definite MS using MSNON eyes as predictive value and found that OCT values could serve as an independent predictor of MS development.
      Overall there was a good correlation between VEP latency and VEP score compared to thickness of RFNL and GCIPL in accordance with other reports (
      • Fatehi F.
      • Shaygannejad V.
      • Mehr L.K.
      • et al.
      Optical coherence tomography versus visual evoked potential in multiple sclerosis patients.
      ;
      • Naismith R.T.
      • Tutlam N.T.
      • Xu J.
      • et al.
      Optical coherence tomography is less sensitive than visual evoked potentials in optic neuritis.
      ), showing that both VEP and OCT probably measure relevant features of SPMS.
      It has previously been shown that thinning below RNFL 75 µm by time-domain OCT was associated with impaired visual function measured by automated visual field testing (
      • Costello F.
      • Coupland S.
      • Hodge W.
      • et al.
      Quantifying axonal loss after optic neuritis with optical coherence tomography.
      ). RNFL is composed of the axons projected from retinal ganglion cells, and thinning represents axonal loss. As suggested by others atrophy rate of RNFL may be slower in SPMS than in RRMS (
      • Balk L.J.
      • Cruz-Herranz A.
      • Albrecht P.
      • et al.
      Timing of retinal neuronal and axonal loss in MS: a longitudinal OCT study.
      ;
      • Henderson A.P.
      • Trip S.A.
      • Schlottmann P.G.
      • et al.
      A preliminary longitudinal study of the retinal nerve fiber layer in progressive multiple sclerosis.
      ), claiming that atrophy of the afferent visual system is more present in the early phase of the disease.
      In a study of 166 MS patients (94% RRMS) with baseline examination and a two-year follow-up (
      • Garcia-Martin E.
      • Pueyo V.
      • Almarcegui C.
      • et al.
      Risk factors for progressive axonal degeneration of the retinal nerve fibre layer in multiple sclerosis patients.
      ), Garcia-Martin et al. found RNFL atrophy in MS patients with non-visual relapses as well as in patients with progression and disease evolution. This finding supports the idea that these events are not focal but are more widespread in the central nervous system.
      Even though our study was relatively small, the OCT results correlate with the VEP score (all) and VEP P100 latency, all but RNFL in the MSNON group. It has been suggested that VEP has superior sensitivity to OCT to detect clinical or subclinical ON, where VEP detected 81%, and OCT RNFL showed 60% sensitivity of detecting an ON at least six months before the investigation (
      • Naismith R.T.
      • Tutlam N.T.
      • Xu J.
      • et al.
      Optical coherence tomography is less sensitive than visual evoked potentials in optic neuritis.
      ).
      In a study by
      • Raz N.
      • Chokron S.
      • Ben-Hur T.
      • et al.
      Temporal reorganization to overcome monocular demyelination.
      , the authors found prolonged VEP latency also in fellow eyes in patients with their first ON. VEP latencies in the fellow eyes could not be explained by demyelinating lesions along post-chiasmal pathways (assessed by diffusion tensor imaging). Delayed peaks in fellow eyes resulted from a wider waveform, which occurred with a concomitant decrease in the gap in time between VEP peaks of both eyes. These changes offered a functional advantage; synchronization of inputs highly correlated with improved time-constrained binocular perception.
      Recently
      • Piedrabuena R.
      • Bittar M.
      Optical coherence tomography and visual evoked potential and its relationship with neurological disability in patients with relapsing-remitting multiple sclerosis.
      found a correlation between the reduced thickness of RNFL, prolonged latency, and decreased amplitude of the VEP P100 wave, which was associated with higher EDSS in RRMS, which is results in agreement with ours.
      We found no correlation between MRI parameters and OCT or VEP data, indicating that VEP and OCT investigations provide complementary information.
      • Berman S.
      • Backner Y.
      • Krupnik R.
      • et al.
      Conduction delays in the visual pathways of progressive multiple sclerosis patients covary with brain structure.
      found a correlation of VEP latency with optic radiation lesion load in eyes without a history of ON. Others (
      • Alonso R.
      • Gonzalez-Moron D.
      • Garcea O.
      Optical coherence tomography as a biomarker of neurodegeneration in multiple sclerosis: a review.
      ) have found a correlation between OCT values and quantifying MRI techniques.
      • Saidha S.
      • Sotirchos E.S.
      • Oh J.
      • et al.
      Relationships between retinal axonal and neuronal measures and global central nervous system pathology in multiple sclerosis.
      found that GCIPL thickness correlates with cortical gray matter and caudate atrophy, implying that OCT measurements can be used as a structural marker in MS. The same group found association between GCIPL atrophy and whole brain atrophy, gray and white matter atrophy and thalamic atrophy. The association was stronger in progressive MS than in RRMS (
      • Saidha S.
      • Al-Louzi O.
      • Ratchford J.N.
      • et al.
      Optical coherence tomography reflects brain atrophy in multiple sclerosis: a four-year study.
      ). In studies of PPMS patients Petracca et Al found GCIPL correlated with thalamic volume as well as wholebrain atrophy suggesting that GCIPL atrophy mirror whole-brain, gray matter and thalamic atrophy, especially in progressive MS (
      • Petracca M.
      • Cordano C.
      • Cellerino M.
      • et al.
      Retinal degeneration in primary-progressive multiple sclerosis: a role for cortical lesions?.
      ;
      • Petracca M.
      • Sumowski J.
      • Fabian M.
      • et al.
      Looking into cognitive impairment in primary-progressive multiple sclerosis.
      ).
      We did not find any correlation to disease duration reflecting the conception that MS is a highly individual disease with both aggressive and more benign courses (
      • Klineova S.
      • Lublin F.D.
      Clinical Course of Multiple Sclerosis.
      ).

      7. Limitations

      The small size of the study population is one limitation, and the heterogeneity of the group is another. The control group did not undergo a VEP examination.

      8. Future perspectives

      The future holds an opportunity to treat neurodegenerative processes, and the need to monitor MS patients to study the efficacy of neuroprotective drugs will increase. VEP is a longstanding well-characterized technique that better detects traces of exposition of inflammation of the optic nerve. OCT remains a promising technique to monitor both inflammatory processes in the acute phase as well as degenerative changes of the retina, which can represent changes in the central nervous system. There is a need for further longitudinal studies to explore if there are associations between OCT measures and neurodegeneration in MS patients, including patients with SPMS. MRI modalities specifically displaying the optic radiations (ORs) or tracts as well as regional atrophy will further contribute to the knowledge of MS and map out neurodegeneration in SPMS. In MS, no evidence of disease activity (NEDA), defined as an absence of relapses, disability accumulation, or brain MRI activity, has been introduced as a treatment goal (
      • Banwell B.
      • Giovannoni G.
      • Hawkes C.
      • et al.
      Editors’ welcome and a working definition for a multiple sclerosis cure.
      ). NEDA is associated with a relatively preserved RNFL over two years, showed by
      • Pisa M.
      • Guerrieri S.
      • Di Maggio G.
      • et al.
      No evidence of disease activity is associated with reduced rate of axonal retinal atrophy in MS.
      .

      9. Conclusion

      There was a good correlation between OCT and VEP, whereas there was no association to MRI findings indicating that OCT and VEP provide additional information to MRI and should be included in the follow-up of patients with SPMS.
      The main conclusions from our study are that VEP latency and GCIPL correlate with a progressive disease measured as EDSS. We found a strong correlation between VEP and OCT results. In summary, both VEP and OCT are, in addition to MRI, warranted in the follow-up of patients with SPMS.

      CRediT authorship contribution statement

      Anna Eklund: Investigation, Formal analysis, Writing – original draft, Writing – review & editing, Visualization. Yumin Huang-Link: Conceptualization, Methodology, Validation, Formal analysis, Writing – review & editing. Beatrix Kovácsovics: Methodology, Resources, Validation. Charlotte Dahle: Conceptualization, Supervision. Magnus Vrethem: Conceptualization, Methodology, Validation, Resources, Supervision. Jonas Lind: Methodology, Formal analysis, Visualization.

      Declaration of Competing Interest

      None.

      Acknowledgments and funding

      Futurum, Academy of Health and Care, Jönköping, Sweden, The Medical Research Council of Southeast Sweden (FORSS), The University Hospital of Linköping, The County Council of Östergötland, and Linköping University funded the study.

      Appendix. Supplementary materials

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