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Krämer J, Balloff C, Weise M, Koska V, Uthmeier Y, Esderts I, Nguyen-Minh M, Zimmerhof M, Hartmann A, Dietrich M, Ingwersen J, Lee JI, Havla J, Kümpfel T, Kerschensteiner M, Häußler V, Heesen C, Stellmann JP, Zimmermann HG, Oertel FC, Ringelstein M, Brandt AU, Paul F, Aktas O, Hartung HP, Wiendl H, Meuth SG, Albrecht P. Evolution of retinal degeneration and prediction of disease activity in relapsing and progressive multiple sclerosis. Nat Commun 2024; 15:5243. [PMID: 38897994 PMCID: PMC11187157 DOI: 10.1038/s41467-024-49309-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 05/30/2024] [Indexed: 06/21/2024] Open
Abstract
Retinal optical coherence tomography has been identified as biomarker for disease progression in relapsing-remitting multiple sclerosis (RRMS), while the dynamics of retinal atrophy in progressive MS are less clear. We investigated retinal layer thickness changes in RRMS, primary and secondary progressive MS (PPMS, SPMS), and their prognostic value for disease activity. Here, we analyzed 2651 OCT measurements of 195 RRMS, 87 SPMS, 125 PPMS patients, and 98 controls from five German MS centers after quality control. Peripapillary and macular retinal nerve fiber layer (pRNFL, mRNFL) thickness predicted future relapses in all MS and RRMS patients while mRNFL and ganglion cell-inner plexiform layer (GCIPL) thickness predicted future MRI activity in RRMS (mRNFL, GCIPL) and PPMS (GCIPL). mRNFL thickness predicted future disability progression in PPMS. However, thickness change rates were subject to considerable amounts of measurement variability. In conclusion, retinal degeneration, most pronounced of pRNFL and GCIPL, occurs in all subtypes. Using the current state of technology, longitudinal assessments of retinal thickness may not be suitable on a single patient level.
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Affiliation(s)
- Julia Krämer
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany.
| | - Carolin Balloff
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Kliniken Maria Hilf, Mönchengladbach, Germany
| | - Margit Weise
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Valeria Koska
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Yannik Uthmeier
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Isabell Esderts
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Mai Nguyen-Minh
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Moritz Zimmerhof
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | | | - Michael Dietrich
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Jens Ingwersen
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - John-Ih Lee
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, LMU Hospital, Ludwig-Maximilians University München, München, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, LMU Hospital, Ludwig-Maximilians University München, München, Germany
| | - Martin Kerschensteiner
- Institute of Clinical Neuroimmunology, LMU Hospital, Ludwig-Maximilians University München, München, Germany
- Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University München, München, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Vivien Häußler
- Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Hospital Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Heesen
- Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Hospital Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Jan-Patrick Stellmann
- Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Hospital Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Aix-Marseille University, CNRS-CRMBM, UMR, 7339, Marseille, France
- APHM La Timone, CEMEREM, Marseille, France
| | - Hanna G Zimmermann
- Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Frederike C Oertel
- Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Marius Ringelstein
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Neurology and Neuropsychiatry, LVR-Klinikum, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Alexander U Brandt
- Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Orhan Aktas
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Hans-Peter Hartung
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Brain and Mind Center, University of Sydney, Sydney, NSW, Australia
- Department of Neurology, Palacky University Olomouc, Olomouc, Czech Republic
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Sven G Meuth
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Philipp Albrecht
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
- Department of Neurology, Kliniken Maria Hilf, Mönchengladbach, Germany.
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Papadopoulou A, Pfister A, Tsagkas C, Gaetano L, Sellathurai S, D'Souza M, Cerdá-Fuertes N, Gugleta K, Descoteaux M, Chakravarty MM, Fuhr P, Kappos L, Granziera C, Magon S, Sprenger T, Hardmeier M. Visual evoked potentials in multiple sclerosis: P100 latency and visual pathway damage including the lateral geniculate nucleus. Clin Neurophysiol 2024; 161:122-132. [PMID: 38461596 DOI: 10.1016/j.clinph.2024.02.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVE To explore associations of the main component (P100) of visual evoked potentials (VEP) to pre- and postchiasmatic damage in multiple sclerosis (MS). METHODS 31 patients (median EDSS: 2.5), 13 with previous optic neuritis (ON), and 31 healthy controls had VEP, optical coherence tomography and magnetic resonance imaging. We tested associations of P100-latency to the peripapillary retinal nerve fiber layer (pRNFL), ganglion cell/inner plexiform layers (GCIPL), lateral geniculate nucleus volume (LGN), white matter lesions of the optic radiations (OR-WML), fractional anisotropy of non-lesional optic radiations (NAOR-FA), and to the mean thickness of primary visual cortex (V1). Effect sizes are given as marginal R2 (mR2). RESULTS P100-latency, pRNFL, GCIPL and LGN in patients differed from controls. Within patients, P100-latency was significantly associated with GCIPL (mR2 = 0.26), and less strongly with OR-WML (mR2 = 0.17), NAOR-FA (mR2 = 0.13) and pRNFL (mR2 = 0.08). In multivariate analysis, GCIPL and NAOR-FA remained significantly associated with P100-latency (mR2 = 0.41). In ON-patients, P100-latency was significantly associated with LGN volume (mR2 = -0.56). CONCLUSIONS P100-latency is affected by anterior and posterior visual pathway damage. In ON-patients, damage at the synapse-level (LGN) may additionally contribute to latency delay. SIGNIFICANCE Our findings corroborate post-chiasmatic contributions to the VEP-signal, which may relate to distinct pathophysiological mechanisms in MS.
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Affiliation(s)
- Athina Papadopoulou
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Armanda Pfister
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Charidimos Tsagkas
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD, USA
| | | | - Shaumiya Sellathurai
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Marcus D'Souza
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland; Neurostatus AG, University Hospital of Basel, Basel, Switzerland
| | - Nuria Cerdá-Fuertes
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland; Neurostatus AG, University Hospital of Basel, Basel, Switzerland
| | - Konstantin Gugleta
- University Eye Clinic Basel, University Hospital Basel and University of Basel, Basel, Switzerland
| | | | - Mallar M Chakravarty
- Douglas Mental Health University Institute, Departments of Psychiatry and Biomedical Engineering (M.M.C.), McGill University, Montreal, University of Sherbrooke (M.D.), Canada
| | - Peter Fuhr
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Switzerland
| | - Ludwig Kappos
- Department of Clinical Research, University of Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefano Magon
- Pharma Research and Early Development, Neuroscience and Rare Diseases Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | | | - Martin Hardmeier
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland.
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3
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Mey GM, DeSilva TM. Utility of the visual system to monitor neurodegeneration in multiple sclerosis. Front Mol Neurosci 2023; 16:1125115. [PMID: 37063369 PMCID: PMC10090562 DOI: 10.3389/fnmol.2023.1125115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/14/2023] [Indexed: 03/31/2023] Open
Abstract
Neurodegeneration occurs early in the multiple sclerosis (MS) disease course and is an important driver of permanent disability. Current immunomodulatory therapies do not directly target neuronal health; thus, there is a critical need to develop neuroprotective strategies in MS. Outcome measures in clinical trials primarily evaluate disease activity and clinical disability scores rather than measures of neurodegeneration. The visual system provides a noninvasive correlate of brain atrophy and neuronal function through structural and functional exams. Furthermore, optic nerve axons and their respective neuronal cell bodies in the retina, in addition to their synaptic input to the thalamus, provide a distinct anatomy to investigate neurodegenerative processes. This review discusses the utility of the visual system as an early output measure of neurodegeneration in MS as well as an important platform to evaluate neuroprotective strategies in preclinical models.
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Affiliation(s)
| | - Tara M. DeSilva
- Department of Neurosciences, Cleveland Clinic, Cleveland, OH, United States
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4
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Krijnen EA, Ngamsombat C, George IC, Yu FF, Fan Q, Tian Q, Huang SY, Klawiter EC. Axonal and myelin changes and their inter-relationship in the optic radiations in people with multiple sclerosis. Mult Scler J Exp Transl Clin 2023; 9:20552173221147620. [PMID: 36814811 PMCID: PMC9940187 DOI: 10.1177/20552173221147620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023] Open
Abstract
Background The imaging g-ratio, estimated from axonal volume fraction (AVF) and myelin volume fraction (MVF), is a novel biomarker of microstructural tissue integrity in multiple sclerosis (MS). Objective To assess axonal and myelin changes and their inter-relationship as measured by g-ratio in the optic radiations (OR) in people with MS (pwMS) with and without previous optic neuritis (ON) compared to healthy controls (HC). Methods Thirty pwMS and 17 HCs were scanned on a 3Tesla Connectom scanner. AVF and MVF, derived from a multi-shell diffusion protocol and macromolecular tissue volume, respectively, were measured in normal-appearing white matter (NAWM) and lesions within the OR and used to calculate imaging g-ratio. Results OR AVF and MVF were decreased in pwMS compared to HC, and in OR lesions compared to NAWM, whereas the g-ratio was not different. Compared to pwMS with previous ON, AVF and g-ratio tended to be higher in pwMS without prior ON. AVF and MVF, particularly in NAWM, were positively correlated with retinal thickness, which was more pronounced in pwMS with prior ON. Conclusion Axonal measures reflect microstructural tissue damage in the OR, particularly in the setting of remote ON, and correlate with established metrics of visual health in MS.
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Affiliation(s)
- Eva A Krijnen
- MS Center Amsterdam, Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Chanon Ngamsombat
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Ilena C George
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Fang F Yu
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Qiuyun Fan
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
- Academy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin, China
| | - Qiyuan Tian
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Susie Y Huang
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Eric C Klawiter
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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5
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Abdelhak A, Cordano C, Boscardin WJ, Caverzasi E, Kuhle J, Chan B, Gelfand JM, Yiu HH, Oertel FC, Beaudry-Richard A, Condor Montes S, Oksenberg JR, Lario Lago A, Boxer A, Rojas-Martinez JC, Elahi FM, Chan JR, Green AJ. Plasma neurofilament light chain levels suggest neuroaxonal stability following therapeutic remyelination in people with multiple sclerosis. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2022-329221. [PMID: 35710320 PMCID: PMC9984688 DOI: 10.1136/jnnp-2022-329221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/23/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Chronic demyelination is a major contributor to axonal vulnerability in multiple sclerosis (MS). Therefore, remyelination could provide a potent neuroprotective strategy. The ReBUILD trial was the first study showing evidence for successful remyelination following treatment with clemastine in people with MS (pwMS) with no evidence of disease activity or progression (NEDAP). Whether remyelination was associated with neuroprotection remains unexplored. METHODS Plasma neurofilament light chain (NfL) levels were measured from ReBUILD trial's participants. Mixed linear effect models were fit for individual patients, epoch and longitudinal measurements to compare NfL concentrations between samples collected during the active and placebo treatment period. RESULTS NfL concentrations were 9.6% lower in samples collected during the active treatment with clemastine (n=53, geometric mean=6.33 pg/mL) compared to samples collected during treatment with placebo (n=73, 7.00 pg/mL) (B=-0.035 [-0.068 to -0.001], p=0.041). Applying age- and body mass index-standardised NfL Z-scores and percentiles revealed similar results (0.04 vs 0.35, and 27.5 vs 33.3, p=0.023 and 0.042, respectively). Higher NfL concentrations were associated with more delayed P100 latencies (B=1.33 [0.26 to 2.41], p=0.015). In addition, improvement of P100 latencies between visits was associated with a trend for lower NfL values (B=0.003 [-0.0004 to 0.007], p=0.081). Based on a Cohen's d of 0.248, a future 1:1 parallel-arm placebo-controlled study using a remyelinating agent with comparable effect as clemastine would need 202 subjects per group to achieve 80% power. CONCLUSIONS In pwMS, treatment with the remyelinating agent clemastine was associated with a reduction of blood NfL, suggesting that neuroprotection is achievable and measurable with therapeutic remyelination. TRIAL REGISTRATION NUMBER NCT02040298.
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Affiliation(s)
- Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Christian Cordano
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - W John Boscardin
- Departments of Medicine and Epidemiology & Biostatistics, University of California at San Francisco, San Francisco, California, USA
| | - Eduardo Caverzasi
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Jens Kuhle
- Multiple Sclerosis Centre, Neurology, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Brandon Chan
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Jeffrey M Gelfand
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Hao H Yiu
- Department of Biology, University of Maryland, College Park, Maryland, USA
| | - Frederike C Oertel
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Alexandra Beaudry-Richard
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Shivany Condor Montes
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Jorge R Oksenberg
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Argentina Lario Lago
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Adam Boxer
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Julio C Rojas-Martinez
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Fanny M Elahi
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Jonah R Chan
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Ari J Green
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco (UCSF), San Francisco, California, USA
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