Abstract
Objective: To trace microstructural changes in patients with aquaporin-4 antibody (AQP4-ab)-seropositive neuromyelitis optica spectrum disorders (NMOSDs) by investigating the afferent visual system in patients without clinically overt visual symptoms or visual pathway lesions.
Methods: Of 51 screened patients with NMOSD from a longitudinal observational cohort study, we compared 6 AQP4-ab–seropositive NMOSD patients with longitudinally extensive transverse myelitis (LETM) but no history of optic neuritis (ON) or other bout (NMOSD-LETM) to 19 AQP4-ab–seropositive NMOSD patients with previous ON (NMOSD-ON) and 26 healthy controls (HCs). Foveal thickness (FT), peripapillary retinal nerve fiber layer (pRNFL) thickness, and ganglion cell and inner plexiform layer (GCIPL) thickness were measured with optical coherence tomography (OCT). Microstructural changes in the optic radiation (OR) were investigated using diffusion tensor imaging (DTI). Visual function was determined by high-contrast visual acuity (VA). OCT results were confirmed in a second independent cohort.
Results: FT was reduced in both patients with NMOSD-LETM (p = 3.52e−14) and NMOSD-ON (p = 1.24e−16) in comparison with HC. Probabilistic tractography showed fractional anisotropy reduction in the OR in patients with NMOSD-LETM (p = 0.046) and NMOSD-ON (p = 1.50e−5) compared with HC. Only patients with NMOSD-ON but not NMOSD-LETM showed neuroaxonal damage in the form of pRNFL and GCIPL thinning. VA was normal in patients with NMOSD-LETM and was not associated with OCT or DTI parameters.
Conclusions: Patients with AQP4-ab–seropositive NMOSD without a history of ON have microstructural changes in the afferent visual system. The localization of retinal changes around the Müller-cell rich fovea supports a retinal astrocytopathy.
GLOSSARY
- AD=
- axial diffusivity;
- ART=
- automatic real time;
- DTI=
- diffusion tensor imaging;
- FT=
- foveal thickness;
- GCIPL=
- ganglion cell and inner plexiform layer;
- GEE=
- general estimate equation;
- HC=
- healthy control;
- LETM=
- longitudinally extensive transverse myelitis;
- LGN=
- lateral geniculate nucleus;
- LPA=
- lesion prediction algorithm;
- LST=
- Lesion Segmentation Toolbox;
- MD=
- mean diffusivity;
- NMOSD=
- neuromyelitis optica spectrum disorder;
- OCT=
- optical coherence tomography;
- ON=
- optic neuritis;
- OR=
- optic radiation;
- pRNFL=
- peripapillary retinal nerve fiber layer;
- RD=
- radial diffusivity;
- ROI=
- region of interest;
- VA=
- visual acuity
Neuromyelitis optica spectrum disorders (NMOSDs) are relapsing inflammatory conditions of the CNS presenting with optic neuritis (ON) and longitudinally extensive transverse myelitis (LETM) as key clinical features and less frequently brainstem and cerebral involvement.1 NMOSD is associated with serum antibodies to the astrocytic water channel aquaporin-4 (AQP4), which can be detected in 60%–80% of patients.2,3 The remainder may not only comprise patients with false-negative AQP4-antibody tests but also true AQP4 seronegatives that may harbor other autoantibodies (e.g., myelin oligodendrocyte glycoprotein) and may thus suffer from distinct disease entities.4,5
In contrast to MS, patients with NMOSD virtually never present clinically with progressive disease.6 However, advanced imaging and histopathologic studies have shown conflicting results as to whether covert tissue damage can occur independent of attack-associated lesions in patients with NMOSD.7,–,9 One possible explanation for these discrepancies may be the heterogeneity of previously investigated cohorts comprising both AQP4-antibody (AQP4-ab) positive and negative patients. Also on clinical examination, it may be difficult to identify subtle findings beyond the overtly affected functional system (i.e., optic nerve or spinal cord).
Against this background, we investigated microstructural and lesion-independent CNS tissue changes in a homogeneous cohort of exclusively AQP4-ab–seropositive NMOSD patients. To exclude any focal attack-related damage, we limited our study to patients who were only presenting with LETM but were otherwise asymptomatic. We used 2 imaging techniques: optical coherence tomography (OCT) to measure retinal thickness and diffusion tensor imaging (DTI)-based probabilistic tractography to analyze the optic radiation (OR).
METHODS
Patients.
We screened 51 patients with NMOSD participating in an ongoing prospective observational cohort study at the NeuroCure Clinical Research Center at the Charité—Universitätsmedizin Berlin. Six patients with a history of LETM but no other attack (i.e., history of ON) (NMOSD-LETM), 19 NMOSD-ON, and 26 age- and sex-matched healthy controls (HCs) were enrolled (table 1). In a previous study including nineteen (76%) of the 25 patients with NMOSD, normal subcortical gray matter volumes and microstructural changes were found.10 Inclusion criteria were a minimum age of 18 years and a definite diagnosis of AQP4-ab–seropositive NMOSD according to the 2015 International Consensus Diagnostic Criteria.11 AQP4-ab were determined by a cell-based assay (Euroimmun, Lübeck, Germany). Patients exhibiting ophthalmologic (e.g., glaucoma, myopia >5 dpt) or systemic diseases (e.g., systemic lupus erythematosus), which can potentially influence OCT or DTI results, were excluded from the study (figure 1). Visual function was tested monocularly with habitual correction and under photopic conditions. For high-contrast visual acuity (VA), Early Treatment in Diabetes Retinopathy Study charts were used at a 20-ft distance with an Optec 6500 P system (Stereo Optical, Chicago, IL).12
Demographic data of HCs and patients with NMOSD (mean ± SD)
AQP4 = aquaporin-4; MOG = myelin oligodendrocyte glycoprotein; NMOSD = neuromyelitis optica spectrum disorder; OCT = optical coherence tomography.
We additionally included a confirmatory OCT cohort consisting of 3 patients with AQP4-ab–seropositive NMOSD-LETM (women/men: 3/0; age: 41.3 ± 10.7 years; disease duration: 2.8 ± 2.1 years), 3 patients with AQP4-ab–seropositive NMOSD-ON (women/men: 3/0; age: 44.0 ± 1.0 years; disease duration: 2.9 ± 0.8 years), and 8 HCs (women/men: 8/0; age: 42.3 ± 1.7 years) following the same inclusion and exclusion criteria from a longitudinal prospective observational cohort study at the Department of Neurology, Klinikum rechts der Isar at the Technical University of Munich, Germany.
Ethics statement.
The local ethics committee of the Charité—Universitätsmedizin Berlin approved this study (EA1/131/09). OCT data from the confirmatory cohort were collected under an ethics vote from the ethics committee at the Technical University of Munich (166/16S). The study was conducted in accordance with the Declaration of Helsinki in its currently applicable version and the applicable German laws. All patients provided written informed consent.
Optical coherence tomography.
All retinal examinations were performed using a Heidelberg Engineering Spectralis spectral domain OCT (Heidelberg Engineering, Heidelberg, Germany) with automatic real-time (ART) function for image averaging. The peripapillary retinal nerve fiber layer (pRNFL) was measured with activated eye tracker using 3.4-mm ring scans around the optic nerve head (12°, 1,536 A-scans 16 ≤ ART ≤ 100). The combined ganglion cell and inner plexiform layer (GCIPL) volume was measured using a 6-mm diameter cylinder around the fovea from a macular volume scan (25° × 30°, 61 vertical B-scans, 768 A-scans per B-scan, ART = 15).13 Segmentation of pRNFL and GCIPL was performed semiautomatically using software provided by the OCT manufacturer (Eye Explorer 1.9.10.0 with viewing module 6.0.9.0; Heidelberg Engineering). All measurements were checked for segmentation errors and corrected if necessary by an experienced rater. Foveal thickness (FT) was measured as the mean thickness of a 1-mm diameter cylinder around the fovea from each collected macular scan. We report our quantitative OCT data in line with the APOSTEL recommendations.14
Magnet resonance imaging.
All MRI data were acquired on the same 3T scanner (MAGNETOM Trio Siemens, Erlangen, Germany) using a single-shot echo planar, DTI sequence (repetition time [TR]/echo time [TE] = 7,500/86 ms; field-of-view [FOV] = 240 × 240 mm2; matrix 96 × 96, slice thickness 2.3 mm, 64 noncollinear directions, b-value = 1,000 s/mm2), as well as a volumetric high-resolution fluid-attenuated inversion recovery sequence (3D FLAIR) (TR/TE/TI = 6,000/388/2,100 ms; FOV = 256 × 256 mm2, slice thickness 1.0 mm). 3D FLAIR images of patients with NMOSD-LETM were checked and verified for OR lesions by a board-certified radiologist. Whole-brain segmentation and quantification of lesions of FLAIR images were performed using lesion prediction algorithm in the Lesion Segmentation Toolbox (LST) for MATLAB 2013a (MathWorks, Inc., Natick, MA).15
Probabilistic tractography.
Diffusion tensors on the DTI images were fitted by a linear-least square approach. MRtrix package 0.2 (J-D Tournier; Brain Research Institute, Melbourne, Australia) was used to perform probabilistic tractography from seed to target mask.16 Fiber orientation distribution was estimated with constrained spherical deconvolution and mapped with a maximum harmonic order of 6. The OR reconstruction pipeline was modified from the Martinez-Heras et al.17 and Lim et al.18 pipeline. The Juelich probabilistic atlas was used to generate binary masks of lateral geniculate nucleus (LGN) as the seed region of interest (ROI) and primary visual cortex (V1) as the target ROI. For binary exclusion masks, a midline sagittal exclusion plane, a termination coronal plane 20 mm posterior to the temporal pole, and a gray matter segmentation mask were created in the 3D coordinate system of the Montreal Neurological Institute (MNI-152). These were subsequently registered to individual DTI space, serving as a binary exclusion ROI for tractography. Ten thousand unidirectional streamlines from the LGN to V1 were generated (fractional anisotropy (FA) threshold: 0.1; curvature threshold: 25%; step size: 0.2 mm) for each OR. Streamlines were thresholded for 25% of the maximum value. Resulting fibers were transferred to the Vistalab environment (vistalab.stanford.edu/, Vistalab, Stanford University, Stanford, CA) to compute tract profiles of weighted mean DTI values of FA, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity at 50 equally spaced positions. We used the middle 30 of the 50 positions for statistical analysis for the exclusion of potential confounders from the LGN to V1 and to have a pure OR volume only.
Statistical analysis.
Group differences were tested with a χ2 test for sex and a Wilcoxon-Mann-Whitney U test for age. Group differences in OCT, DTI, and VA were evaluated by general estimate equation (GEE) models accounting for within-subject intereye dependencies and correcting for age and sex. Relationships between structural and functional parameters were analyzed using GEE models and correcting for age and sex. Combined p values of exploratory and confirmatory cohort results were calculated by Fisher combined probability test. All tests were performed with R version 3.1.2 with packages psych, geepack, and ggplot2. Graphical representations were created with R and Graphpad Prism 6.0 (Graphpad Software, San Diego, CA). For all calculations, statistical significance was established at p < 0.05.
RESULTS
OCT analysis.
The fovea is a region rich in AQP4-positive Müller cells, and foveal thinning has previously been reported in eyes from patients with NMOSD without ON.19 We found that FT in eyes from patients with NMOSD-LETM was lower than that in HC, as was FT in patients with NMOSD-ON patients. Remarkably, FT in eyes from patients with NMOSD-LETM never experiencing visual symptoms was comparable to FT in eyes from patients with NMOSD-ON (table 2 and figure 2). The FT reduction reflected a change in foveal shape, from an open V-shape in eyes from HCs to a wide U-shape in eyes from patients with NMOSD (figure 2, D–E).
OCT and DTI results from HC and NMOSD subgroups (mean ± SD)
Boxplots of mean OCT values with values of individual eyes (jitter) in HC (left, white), NMOSD-LETM (middle, light blue), NMOSD-ON (right, dark blue), and for each confirmatory cohort (without color) for (A) FT values (µm); (B) pRNFL thickness (µm); (C) GCIPL volume (mm3); (D) FT in a representative macular scan of right eye from an HC; (E) FT changes in a representative macular scan of right eye from a patient with NMOSD-LETM. FT = foveal thickness; GCIPL = combined ganglion cell and inner plexiform layer volume; HC = healthy control; LETM = longitudinally extensive transverse myelitis; NMOSD-LETM = NMOSD patients with a history of LETM but no history of ON; NMOSD-ON = NMOSD patients with a history of ON; OCT = optical coherence tomography; ON = optic neuritis; pRNFL = peripapillary retinal nerve fiber layer thickness.
In eyes from patients with NMOSD-LETM, pRNFL and GCIPL as markers of retinal neuroaxonal degeneration were not reduced but pRNFL instead increased in comparison with HC (table 1 and figure 2). By contrast and as expected, eyes with previous ON in the NMOSD-ON group presented with severe pRNFL and GCIPL loss, indicating ON-dependent neuroaxonal damage.20,21 All OCT results were confirmed in a second independent cohort (figure 2). Statistical combination of p values from the initial and confirmatory cohorts produced immense FT and pRNFL differences between NMOSD-LETM and HC (FT p = 3.52e−14, pRNFL p = 1.93e−9, and GCIP n.s.) as well as NMOSD-ON and HC (FT p = 1.24e−16, pRNFL p = 1.43e−18, and GCIP p = 8.87e−22), supporting a high likelihood of true-positive results, despite the low sample size in either cohort.
MRI analysis.
Microstructural white matter changes in the OR were analyzed using DTI-based probabilistic tractography. Patients with NMOSD-LETM presented with FA reduction in comparison with HC (p = 0.046), which suggests structural changes in the OR of patients with NMOSD-LETM (table 2 and figures 3 and 4). Patients with NMOSD-ON expectedly showed pathologic changes in comparison with HCs (FA: p = 1.5e−5; MD: p = 0.037; and RD: p = 0.003).
(A) Tract presentation of OR from LGN to V1 for averaged weight-mean DTI values of 50 segments in HC (white), NMOSD-LETM (light blue), and NMOSD-ON (dark blue) for FA (mean ± SEM). (B) Boxplot of mean FA values for middle 3/5 of the OR in HC (left, white), NMOSD-LETM (middle, light blue), and NMOSD-ON (right, dark blue). (C) Example of resulting fibers from tractography analysis. DTI = diffusion tensor imaging; FA = fractional anisotropy; HC = healthy control; LETM = longitudinally extensive transverse myelitis; LGN = lateral geniculate nucleus; NMOSD = neuromyelitis optica spectrum disorder; NMOSD-LETM = NMOSD patients with a history of LETM but no history of ON; NMOSD-ON = NMOSD patients with a history of ON; ON = optic neuritis; OR = optic radiation; V1 = primary visual cortex.
(A.a–C.a) Boxplots of mean DTI values for middle 3/5 of the OR and (A.b–C.b) Tract presentation of OR from the LGN to V1 for averaged weight-mean DTI values of 50 segments in HC (white), NMOSD-LETM (light blue), and NMOSD-ON (dark blue) for (A) MD, (B) AD, and (C) RD (mean ± SEM for all). AD = axial diffusivity; DTI = diffusion tensor imaging; FA = fractional anisotropy; HC = healthy control; LETM = longitudinally extensive transverse myelitis; LGN = lateral geniculate nucleus; MD = mean diffusivity; NMOSD = neuromyelitis optica spectrum disorder; NMOSD-LETM = NMOSD patients with a history of LETM but no history of ON; NMOSD-ON = NMOSD patients with a history of ON; ON = optic neuritis; OR = optic radiation; RD = radial diffusivity; V1 = primary visual cortex.
To ascertain that patients with NMOSD-LETM were indeed asymptomatic with respect to their visual system, we analyzed lesion distribution and volume on brain MRI. Whole-brain lesion volume did not differ between NMOSD-ON (0.95 ± 1.23 mL) and NMOSD-LETM (0.95 ± 1.30 mL; p > 0.999). Two patients with NMOSD-LETM had unspecific small dot-like lesions in the OR unilaterally. All confirmatory patients with NMOSD-LETM presented without any lesions in the OR. In patients with NMOSD-LETM, OR FA did not correlate with FT (r = 0.066, p = 0.800), pRNFL (r = −0.204, p = 0.500), or GCIPL (r = 0.261, p = 0.400), suggesting a structurally independent alteration without dependency on the observed foveal changes or covert retinal neuroaxonal damage. In patients with NMOSD-ON, reduced OR FA correlated with reduced GCIP (r = 0.361, p = 0.030), but not with FT (r = 0.210, p = 0.200).
Functional measurements.
VA ([logMAR]: −0.02 ± 0.10) was normal in all patients with NMOSD-LETM. As expected, patients with NMOSD-ON had worse mean VA of all eyes ([logMAR]: 0.22 ± 0.37; p = 0.002). In patients with NMOSD-LETM and NMOSD-ON, VA did not correlate with FT (NMOSD-LETM: r = −0.312, p = 0.300; NMOSD-ON: r = 0.082, p = 0.700) and OR FA (NMOSD-LETM: VA: r = −0.445, p = 0.100; NMOSD-ON: r = 0.073, p = 0.700).
DISCUSSION
Patients with AQP4-ab–positive NMOSD without a history of ON and with normal visual function and otherwise normal neuroaxonal retinal measurements (pRNFL, GCIPL) have foveal thinning and reduced OR fractional anisotropy, suggesting microstructural changes in the afferent visual pathway in the absence of clinical attacks of ON.
In NMOSD, 55% of all first clinical events are ONs,22 which in conjunction with subsequent attacks cause damage to the optic nerve with resultant visual impairment.20,21,23,–,25 However, subclinical tissue alterations in NMOSD affecting the afferent visual system have been controversially discussed.19,–,21 For example, while one study reported axonal damage in eyes that never experienced ON,19 another study did not find any signs of neuroaxonal damage in eyes without ON in patients with NMOSD.21
Our study now clearly demonstrates structural retinal and OR changes outside attack-related lesions.26 The parafoveal area is characterized by a high density of retinal astrocytic Müller cells, which express AQP4 and may thus serve as retinal targets in NMOSD.19,27,–,29 Müller cells regulate the retinal water balance and have a relevant role in neurotransmitter and photopigment recycling, as well as in energy and lipid metabolism.27 Müller cell dysfunction or degeneration could thus lead to impaired retinal function including changes in water homeostasis. Of interest, both the initial cohort and the confirmatory cohort showed a mild increase of pRNFL thickness, which could indicate tissue swelling. These findings are supported by animal studies showing retraction of astrocytic end feet in some and astrocyte death in other cases, suggesting a primary astrocytopathy in NMOSD also outside acute lesions.30,–,32 The changes we identified in the OR in this study furthermore indicate that a presumptive astrocytopathy may not be confined to the retina.10,23,25 This is in line with astrocytic end feet changes reported in biopsies from LETM spinal cord lesions and spinal cord atrophy in AQP4-ab–positive patients without previous myelitis.9,33 Whether these changes lead to subtle clinical manifestations should be further investigated using more sensitive functional measures such as visual evoked potentials or low-contrast VA. If confirmed, this would be in line with a preferential affection of the visual system, even without apparent clinical symptoms in NMOSD.
Reduction of FT in patients with NMOSD without overt clinical evidence of optic nerve involvement (normal VA, normal pRNFL, and GCIPL values) was comparable with that of patients with previous ON. To assure that we were only detecting AQP4-ab–associated pathologies, we rigorously excluded potential confounders. Most importantly, we only included a homogeneous group of AQP4-ab–seropositive patients who are expected to display a well-defined astrocytopathy phenotype.34 Patients were only eligible if they presented with LETM and no history of ON, visual symptoms, or other typical NMOSD-associated bouts. Since our patients with NMOSD-LETM did not show pRNFL and GCIPL thinning, a previous subclinical ON is highly unlikely. However, a potential pRNFL swelling might have masked a mild subclinical neurodegeneration, but the effects would likely be small and would not be able to explain the observed changes, which are comparable to eyes after severe ON.21 In light of a recent animal study,32 it is conceivable that AQP4-specific T cells also contribute to foveal astrocytopathy. However, disease-independent factors in NMOSD, such as prematurity and environmental conditions,35 may also play a role in foveal thinning.
Previous studies investigating retinal changes in patients with NMOSD regularly included measurements from unaffected fellow eyes from patients with unilateral ON. This is problematic since ON in NMOSD often involves the optic chiasm, and carry-over effects by chiasmic involvement of symptomatically unilateral ON have been reported in up to 64% of patients with AQP4-ab–positive NMOSD.22 This sets our study apart from a previous study reporting FT reduction in eyes without previous ON in a cohort of patients with NMOSD, which could have been alternatively explained by both non-AQP4 pathologies and chiasmic carry-over effects.19 Furthermore, none of the patients with NMOSD-LETM had NMOSD-related attacks other than LETM, minimizing the potential of attack- or lesion-related tissue alteration as the cause of the observed changes. Attack-related tissue alteration could have been the case in a recent study reporting spinal cord atrophy in AQP4-ab–positive NMOSD patients with ON.9 Of interest, despite all patients in the NMOSD-LETM group reporting and showing no symptoms of visual dysfunction, a few patients showed small lesions near the OR. Measurements from these patients were not outliers but well positioned within the data distribution of the whole cohort (not shown).
One important limitation of our study, which we share with the majority of other studies published in NMOSD, is the small sample size. We were able to confirm our results, however, in a second independent cohort. Furthermore, our study cannot answer whether the reported changes are attack related or attack independent (e.g., due to circulating antibodies). That at least some occult changes might be caused during acute attacks was suggested by a study reporting a correlation of brain volumes and perfusion change with the number of ON attacks in patients with NMOSD.36
We found microstructural changes in the afferent visual system in visually asymptomatic patients with AQP4-ab–positive NMOSD-LETM, which were most apparent in the fovea, a region rich in AQP-expressing Müller cells. Localization and extent of these changes are suggestive of an astrocytopathy without apparent neuroaxonal damage. Identifying occult brain changes in patients with NMOSD is important for a number of reasons. These occult changes could be relevant for symptoms that are not directly related to attacks, e.g., cognitive dysfunction, fatigue, and depression37,–,39 and could predispose to full attacks causing severe astrocytic damage, demyelination, and neuroaxonal damage. As such, occult CNS including retinal changes in NMOSD may be an important diagnostic and target. Retinal imaging of NMOSD-specific changes could aid in early differential diagnosis of NMOSD and help to identify patients in need of an NMOSD-specific therapy. Although highly specific, antibody testing takes too much time during an initial attack of a de novo NMOSD patient, making acute attack-related therapeutic diversification currently difficult. Future research should thus focus on the sensitivity and specificity of the retinal findings in NMOSD also in contrast to relevant differential diagnoses such as myelin oligodendrocyte glycoprotein antibody (MOG-ab)-associated encephalomyelopathy or MS.40 Finally, retinal assessment could aid as therapy response marker during novel drug development.
AUTHOR CONTRIBUTIONS
F.C.O. and J.K.: data collection and analysis. F.C.O.: writing of the manuscript. H.Z.: OCT and data analysis. C.C.: lesion segmentation and data analysis. F.S. and J.B.-S.: study coordination and data acquisition. B.K. and T.K.: data collection and analysis. M.S.: data analysis, lesion segmentation, and tractography. A.K.: tractography. K.R. and F.P.: study coordination. A.U.B.: study concept, design, coordination, data analysis, and writing of the manuscript. All authors revised the manuscript for intellectual content and read and approved the final manuscript.
STUDY FUNDING
This study was funded by research support from the German Research Foundation (DFG Exc. 257 to F.P.), the German Federal Ministry of Economic Affairs and Energy (EXIST 03EFEBE079 to A.U.B. and M.S.) and the Guthy Jackson Charitable Foundation.
DISCLOSURE
F. Oertel reports no disclosures. J. Kuchling received congress registration fee from Biogen and research support from Krankheitsbezogenes Kompetenznetz Multiple Sklerose. H. Zimmermann received speaker honoraria from Teva and Bayer. C. Chien reports no disclosures. F. Schmidt received speaker honoraria from Genzyme. B. Knier received travel funding from Bayer, Merck Serono, ECTRIMS, and Neurowind; and received research support from Kmopetenznetz Multiple Sklerose, Bundesministerium fur Bildung und Forschung, Kommission fur Klinische Foschung, and Technical University of Munich. J. Bellman-Strobl received travel funding and speaking fees from Bayer Healthcare, Sanofi-Aventis/Genzyme, and Teva Pharmaceuticals. T. Korn served on the scientific advisory board for German MS Society, Merck Serono, Novartis, and Biogen; received travel funding and/or speaker honoraria from Biogen, Novartis, Merck Serono, and Bayer; and received research support from Biogen, German Research Council, German Ministry of Education and Research, European Research council, and Else-Kroner-Fresenius Foundation. M. Scheel holds a patent for manufacturing of phantoms for computed tomography imaging with 3D printing technology and received research support from Federal Ministry of Economics and Technology. A. Klistorner holds patents for Electrophysiological visual field measurement, Method and apparatus for objective electrophysiological assessment of visual function, Stimulus method for multifocal visual evoked potential, Flexible electrode assembly and apparatus for measuring electrophysiological signals, Apparatus for measuring electrophysiological signals, and Flexible printed circuit board electrode assembly; and received research support from Sydney University Foundation for Medical Research and Sydney Eye Hospital Foundation. K. Ruprecht served on the scientific advisory board for Sanofi-Aventis/Genzyme, Novartis, and Roche; received travel funding and/or speaker honoraria from Bayer Healthcare, Biogen Idec, Merck Serono, Sanofi-Aventis/Genzyme, Teva Pharmaceuticals, Novartis, and Guthy Jackson Charitable Foundation; is an academic editor for PLoS ONE; receives publishing royalties from Elsevier; and received research support from Novartis and German Ministry of Education and Research. F. Paul serves on the scientific advisory board for Novartis; received speaker honoraria and travel funding from Bayer, Novartis, Biogen Idec, Teva, Sanofi-Aventis/Genzyme, Merck Serono, Alexion, Chugai, MedImmune, and Shire; is an academic editor for PLoS ONE; is an associate editor for Neurology® Neuroimmunology & Neuroinflammation; consulted for SanofiGenzyme, Biogen Idec, MedImmune, Shire, and Alexion; and received research support from Bayer, Novartis, Biogen Idec, Teva, Sanofi-Aventis/Genzyme, Alexion, Merck Serono, German Research Council, Werth Stiftung of the City of Cologne, German Ministry of Education and Research, Arthur Arnstein Stiftung Berlin, EU FP7 Framework Program, Arthur Arnstein Foundation Berlin, Guthy Jackson Charitable Foundation, and National Multiple Sclerosis of the USA. A.U. Brandt served on the scientific advisory board for Biogen; received travel funding and/or speaker honoraria from Novartis and Biogen; has patents pending from method and system for optic nerve head shape quantification, perceptive visual computing based postural control analysis, multiple sclerosis biomarker, and perceptive sleep motion analysis; has consulted for Nexus and Motognosis; and received research support from Novartis Pharma, Biogen Idec, BMWi, BMBF, and Guthy Jackson Charitable Foundation. Go to Neurology.org/nn for full disclosure forms.
ACKNOWLEDGMENT
The authors thank Janine Mikolajczak, Charlotte Kiepert, Susan Pikol, Cynthia Kraut, and Karl Bormann for their excellent technical support.
Footnotes
↵* These authors contributed equally to this work.
Funding information and disclosures are provided at the end of the article. Go to Neurology.org/nn for full disclosure forms. The Article Processing Charge was paid by the authors.
- Received December 1, 2016.
- Accepted in final form January 10, 2017.
- Copyright © 2017 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND), which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
REFERENCES
Letters: Rapid online correspondence
REQUIREMENTS
You must ensure that your Disclosures have been updated within the previous six months. Please go to our Submission Site to add or update your Disclosure information.
Your co-authors must send a completed Publishing Agreement Form to Neurology Staff (not necessary for the lead/corresponding author as the form below will suffice) before you upload your comment.
If you are responding to a comment that was written about an article you originally authored:
You (and co-authors) do not need to fill out forms or check disclosures as author forms are still valid
and apply to letter.
Submission specifications:
- Submissions must be < 200 words with < 5 references. Reference 1 must be the article on which you are commenting.
- Submissions should not have more than 5 authors. (Exception: original author replies can include all original authors of the article)
- Submit only on articles published within 6 months of issue date.
- Do not be redundant. Read any comments already posted on the article prior to submission.
- Submitted comments are subject to editing and editor review prior to posting.
You May Also be Interested in
Topics Discussed
Alert Me
Recommended articles
Axonal loss of retinal neurons in multiple sclerosis associated with optic radiation lesions
Optical coherence tomography helps differentiate neuromyelitis optica and MS optic neuropathies
Optical coherence tomography is highly sensitive in detecting prior optic neuritis
In vivo identification of morphologic retinal abnormalities in neuromyelitis optica