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Kleinerova J, Tan EL, Delaney S, Smyth M, Bede P. Advances and research priorities in the respiratory management of ALS: Historical perspectives and new technologies. Rev Neurol (Paris) 2025:S0035-3787(25)00517-X. [PMID: 40328546 DOI: 10.1016/j.neurol.2025.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2025] [Revised: 03/24/2025] [Accepted: 04/24/2025] [Indexed: 05/08/2025]
Abstract
Respiratory involvement has been identified as a cardinal feature of amyotrophic lateral sclerosis (ALS) since its earliest descriptions in the 19th century. Since these initial reports, considerable research has been undertaken to clarify the pathophysiology and progression rates associated with respiratory compromise and effective management strategies have been developed. Clinical trials routinely incorporate respiratory measures as study end points, non-invasive ventilation is now widely used in the home setting, cough-assist techniques are commonly used, advanced neurophysiology techniques and wearable technologies have been integrated into respiratory monitoring protocols, and palliative guidelines have been developed to effectively manage respiratory distress. Despite the widespread implementation of these interventions, epidemiology studies are inconsistent and some studies suggest that survival in ALS has not improved significantly with the introduction of these measures. The outcomes of diaphragmatic pacing trials have been disappointing, advanced neurophysiology techniques are not routinely utilised, spinal and brainstem imaging are not commonly undertaken and significant geographical differences exist in proceeding to tracheostomy. The worldwide COVID pandemic has given impetus for remote monitoring, connected devices, video-consultations, and timely vaccinations in ALS; lessons that are invaluable long after the pandemic. Respiratory monitoring and management in ALS is a swiftly evolving facet of ALS care with considerable quality of life benefits.
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Affiliation(s)
- J Kleinerova
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - E L Tan
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - S Delaney
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland; Department of Neurology, St James's Hospital, Dublin, Ireland
| | - M Smyth
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | - P Bede
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland; Department of Neurology, St James's Hospital, Dublin, Ireland.
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2
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Wolmer PS, de Borba FC, de Rezende TJR, González-Salazar C, Pedroso JL, Barsottini OGP, Kleinerova J, Bede P, Marques W, França MC. Distinct patterns of cerebral and spinal pathology along the spectrum of ATXN2-related disorders. J Neurol 2025; 272:330. [PMID: 40204975 DOI: 10.1007/s00415-025-13037-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2025] [Revised: 03/10/2025] [Accepted: 03/11/2025] [Indexed: 04/11/2025]
Abstract
BACKGROUND The ATXN2 gene contains a polymorphic CAG-rich region encoding a polyglutamine tract in ataxin- 2. Normal alleles have fewer than 27 CAG repeats, 27-34 repeats pose a risk for ALS (ATXN2-ALS), and > 34 repeats cause spinocerebellar ataxia type 2 (SCA2). The striking phenotypic differences between these two ATXN2-related conditions are not yet fully understood. OBJECTIVE To characterize and compare the distinguishing radiological signatures of ATXN2-ALS, SCA2, sporadic ALS (sALS) and healthy controls in vivo using quantitative computational neuroimaging techniques. METHODS Four groups were defined: healthy controls (n = 34), sALS (n = 17), ATXN2-ALS (n = 16), and SCA2 (n = 17). Cortical, subcortical, brainstem, cerebellar and spinal regions were segmented based on T1-weighted data using validated segmentation tools and their volumes estimated. Group-specific morphometric data were correlated with cerebral ATXN2 expression maps from the Allen Human Brain Atlas. RESULTS Study groups were age and sex-matched. sALS, ATXN2-ALS and SCA2 have distinct structural CNS signatures, with disease burden restricted to the precentral gyri in the sALS group, to the spinal cord and brainstem in the ATXN2-ALS group and more diffusely distributed in the subcortical structures in the SCA2 group. Brain ATXN2 expression correlated with the structural signature of SCA2, but not with that of ATXN2-ALS. CONCLUSIONS Neuroimaging signatures differ in ATXN2-ALS and SCA2, indicating distinct mechanisms of ATXN2-mediated neurodegeneration. sALS and ATXN2-ALS also exhibit distinct patterns of CNS involvement. The unique imaging signatures and clinical profiles along the spectrum of ATXN2-related disorders raise important questions regarding the pathophysiology of the disease and have practical clinical ramifications.
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Affiliation(s)
| | | | - Thiago Junqueira Ribeiro de Rezende
- Department of Neurology, University of Campinas, Campinas, Brazil
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| | | | - José Luiz Pedroso
- Department of Neurology and Neurosurgery, Escola Paulista de Medicina, Federal University of São Paulo, São Paulo, SP, Brazil
| | | | - Jana Kleinerova
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Wilson Marques
- Department of Neurosciences, School of Medicine of Ribeirão Preto, University of São Paulo, São Paulo, Brazil
| | - Marcondes Cavalcante França
- Department of Neurology, University of Campinas, Campinas, Brazil.
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil.
- Faculdade de Ciências Médicas da UNICAMP, Departamento de Neurologia da FCM/UNICAMP, Universidade Estadual de Campinas, Cidade Universitária s/n Barão Geraldo, Campinas, SP, 13083-887, Brazil.
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3
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Khamaysa M, El Mendili M, Marchand V, Querin G, Pradat PF. Quantitative spinal cord imaging: Early ALS diagnosis and monitoring of disease progression. Rev Neurol (Paris) 2025; 181:172-183. [PMID: 39547910 DOI: 10.1016/j.neurol.2024.10.005] [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: 06/14/2024] [Revised: 08/23/2024] [Accepted: 10/08/2024] [Indexed: 11/17/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by the progressive degeneration of motor neurons in the cortex, brainstem, and spinal cord. This degeneration leads to muscular weakness, progressively impairing motor functions and ultimately resulting in respiratory failure. The clinical, genetic, and pathological heterogeneity of ALS, combined with the absence of reliable biomarkers, significantly challenge the efficacy of therapeutic trials. Despite these hurdles, neuroimaging, and particularly spinal cord imaging, has emerged as a promising tool. It provides insights into the involvement of both upper and lower motor neurons. Quantitative spinal imaging has the potential to facilitate early diagnosis, enable accurate monitoring of disease progression, and refine the design of clinical trials. In this review, we explore the utility of spinal cord imaging within the broader context of developing spinal imaging biomarkers in ALS. We focus on a both diagnostic and prognostic biomarker in ALS, highlighting its pivotal role in elucidating the disease's underlying pathology. We also discuss the existing limitations and future avenues for research, aiming to bridge the translational gap between academic research and its application in clinical practice and therapeutic trials.
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Affiliation(s)
- M Khamaysa
- Laboratoire d'Imagerie Biomédicale, Inserm, Sorbonne Université, CNRS, Paris, France
| | - M El Mendili
- Laboratoire d'Imagerie Biomédicale, Inserm, Sorbonne Université, CNRS, Paris, France
| | - V Marchand
- Laboratoire d'Imagerie Biomédicale, Inserm, Sorbonne Université, CNRS, Paris, France
| | - G Querin
- Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, AP-HP, Paris, France
| | - P-F Pradat
- Laboratoire d'Imagerie Biomédicale, Inserm, Sorbonne Université, CNRS, Paris, France; Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, AP-HP, Paris, France.
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McKenna MC, Kleinerova J, Power A, Garcia-Gallardo A, Tan EL, Bede P. Quantitative and Computational Spinal Imaging in Neurodegenerative Conditions and Acquired Spinal Disorders: Academic Advances and Clinical Prospects. BIOLOGY 2024; 13:909. [PMID: 39596864 PMCID: PMC11592215 DOI: 10.3390/biology13110909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 10/24/2024] [Accepted: 10/29/2024] [Indexed: 11/29/2024]
Abstract
Introduction: Quantitative spinal cord imaging has facilitated the objective appraisal of spinal cord pathology in a range of neurological conditions both in the academic and clinical setting. Diverse methodological approaches have been implemented, encompassing a range of morphometric, diffusivity, susceptibility, magnetization transfer, and spectroscopy techniques. Advances have been fueled both by new MRI platforms and acquisition protocols as well as novel analysis pipelines. The quantitative evaluation of specific spinal tracts and grey matter indices has the potential to be used in diagnostic and monitoring applications. The comprehensive characterization of spinal disease burden in pre-symptomatic cohorts, in carriers of specific genetic mutations, and in conditions primarily associated with cerebral disease, has contributed important academic insights. Methods: A narrative review was conducted to examine the clinical and academic role of quantitative spinal cord imaging in a range of neurodegenerative and acquired spinal cord disorders, including hereditary spastic paraparesis, hereditary ataxias, motor neuron diseases, Huntington's disease, and post-infectious or vascular disorders. Results: The clinical utility of specific methods, sample size considerations, academic role of spinal imaging, key radiological findings, and relevant clinical correlates are presented in each disease group. Conclusions: Quantitative spinal cord imaging studies have demonstrated the feasibility to reliably appraise structural, microstructural, diffusivity, and metabolic spinal cord alterations. Despite the notable academic advances, novel acquisition protocols and analysis pipelines are yet to be implemented in the clinical setting.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
- Department of Neurology, St James’s Hospital, James St, 8 D08 NHY1 Dublin, Ireland
| | - Jana Kleinerova
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
| | - Alan Power
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
- Department of Neurology, St James’s Hospital, James St, 8 D08 NHY1 Dublin, Ireland
| | - Angela Garcia-Gallardo
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
- Department of Neurology, St James’s Hospital, James St, 8 D08 NHY1 Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
- Department of Neurology, St James’s Hospital, James St, 8 D08 NHY1 Dublin, Ireland
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Wendebourg MJ, Weigel M, Weidensteiner C, Sander L, Kesenheimer E, Naumann N, Haas T, Madoerin P, Braun N, Neuwirth C, Weber M, Jahn K, Kappos L, Granziera C, Schweikert K, Sinnreich M, Bieri O, Schlaeger R. Cervical and thoracic spinal cord gray matter atrophy is associated with disability in patients with amyotrophic lateral sclerosis. Eur J Neurol 2024; 31:e16268. [PMID: 38465478 PMCID: PMC11235652 DOI: 10.1111/ene.16268] [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: 09/12/2023] [Revised: 01/24/2024] [Accepted: 02/14/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND AND PURPOSE In amyotrophic lateral sclerosis (ALS), there is an unmet need for more precise patient characterization through quantitative, ideally operator-independent, assessments of disease extent and severity. Radially sampled averaged magnetization inversion recovery acquisitions (rAMIRA) magnetic resonance imaging enables gray matter (GM) and white matter (WM) area quantitation in the cervical and thoracic spinal cord (SC) with optimized contrast. We aimed to investigate rAMIRA-derived SC GM and SC WM areas and their association with clinical phenotype and disability in ALS. METHODS A total of 36 patients with ALS (mean [SD] age 61.7 [12.6] years, 14 women) and 36 healthy, age- and sex-matched controls (HCs; mean [SD] age 63.1 [12.1] years, 14 women) underwent two-dimensional axial rAMIRA imaging at the inter-vertebral disc levels C2/3-C5/C6 and the lumbar enlargement level Tmax. ALS Functional Rating Scale-revised (ALSFRS-R) score, muscle strength, and sniff nasal inspiratory pressure (SNIP) were assessed. RESULTS Compared to HCs, GM and WM areas were reduced in patients at all cervical levels (p < 0.0001). GM area (p = 0.0001), but not WM area, was reduced at Tmax. Patients with King's Stage 3 showed significant GM atrophy at all levels, while patients with King's Stage 1 showed significant GM atrophy selectively at Tmax. SC GM area was significantly associated with muscle force at corresponding myotomes. GM area at C3/C4 was associated with ALSFRS-R (p < 0.001) and SNIP (p = 0.0016). CONCLUSION Patients with ALS assessed by rAMIRA imaging show significant cervical and thoracic SC GM and SC WM atrophy. SC GM area correlates with muscle strength and clinical disability. GM area reduction at Tmax may be an early disease sign. Longitudinal studies are warranted.
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Affiliation(s)
- Maria Janina Wendebourg
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Clinical ResearchUniversity Hospital Basel, University of BaselBaselSwitzerland
- Department of Biomedical Engineering, Translational Imaging in Neurology (ThINk)University of BaselBaselSwitzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB)University of BaselBaselSwitzerland
| | - Matthias Weigel
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Clinical ResearchUniversity Hospital Basel, University of BaselBaselSwitzerland
- Department of Biomedical Engineering, Translational Imaging in Neurology (ThINk)University of BaselBaselSwitzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB)University of BaselBaselSwitzerland
- Division of Radiological Physics, Department of RadiologyUniversity Hospital BaselBaselSwitzerland
- Department of Biomedical EngineeringUniversity of BaselBaselSwitzerland
| | - Claudia Weidensteiner
- Division of Radiological Physics, Department of RadiologyUniversity Hospital BaselBaselSwitzerland
- Department of Biomedical EngineeringUniversity of BaselBaselSwitzerland
| | - Laura Sander
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Clinical ResearchUniversity Hospital Basel, University of BaselBaselSwitzerland
- Department of Biomedical Engineering, Translational Imaging in Neurology (ThINk)University of BaselBaselSwitzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB)University of BaselBaselSwitzerland
| | - Eva Kesenheimer
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Clinical ResearchUniversity Hospital Basel, University of BaselBaselSwitzerland
- Department of Biomedical Engineering, Translational Imaging in Neurology (ThINk)University of BaselBaselSwitzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB)University of BaselBaselSwitzerland
| | - Nicole Naumann
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
| | - Tanja Haas
- Division of Radiological Physics, Department of RadiologyUniversity Hospital BaselBaselSwitzerland
| | - Philipp Madoerin
- Division of Radiological Physics, Department of RadiologyUniversity Hospital BaselBaselSwitzerland
| | - Nathalie Braun
- Neuromuscular Diseases Unit/ALS ClinicKantonsspital Sankt GallenSt. GallenSwitzerland
| | - Christoph Neuwirth
- Neuromuscular Diseases Unit/ALS ClinicKantonsspital Sankt GallenSt. GallenSwitzerland
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS ClinicKantonsspital Sankt GallenSt. GallenSwitzerland
| | - Kathleen Jahn
- Clinics of Respiratory MedicineUniversity Hospital Basel and University of BaselBaselSwitzerland
| | - Ludwig Kappos
- Department of Biomedical Engineering, Translational Imaging in Neurology (ThINk)University of BaselBaselSwitzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB)University of BaselBaselSwitzerland
| | - Cristina Granziera
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Clinical ResearchUniversity Hospital Basel, University of BaselBaselSwitzerland
- Department of Biomedical Engineering, Translational Imaging in Neurology (ThINk)University of BaselBaselSwitzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB)University of BaselBaselSwitzerland
| | - Kathi Schweikert
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
| | - Michael Sinnreich
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Biomedicine (DBE)University of BaselBaselSwitzerland
| | - Oliver Bieri
- Division of Radiological Physics, Department of RadiologyUniversity Hospital BaselBaselSwitzerland
- Department of Biomedical EngineeringUniversity of BaselBaselSwitzerland
| | - Regina Schlaeger
- Department of NeurologyUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Clinical ResearchUniversity Hospital Basel, University of BaselBaselSwitzerland
- Department of Biomedical Engineering, Translational Imaging in Neurology (ThINk)University of BaselBaselSwitzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB)University of BaselBaselSwitzerland
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El Mendili MM, Verschueren A, Ranjeva JP, Guye M, Attarian S, Zaaraoui W, Grapperon AM. Association between brain and upper cervical spinal cord atrophy assessed by MRI and disease aggressiveness in amyotrophic lateral sclerosis. Neuroradiology 2023; 65:1395-1403. [PMID: 37458788 DOI: 10.1007/s00234-023-03191-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/29/2023] [Indexed: 08/16/2023]
Abstract
PURPOSE To study the relative contributions of brain and upper cervical spinal cord compartmental atrophy to disease aggressiveness in amyotrophic lateral sclerosis (ALS). METHODS Twenty-nine ALS patients and 24 age- and gender-matched healthy controls (HC) were recruited. Disease duration and the Revised-ALS Functional Rating Scale (ALSFRS-R) at baseline, 3- and 6-months follow-up were assessed. Patients were clinically differentiated into fast (n=13) and slow (n=16) progressors according to their ALSFRS-R progression rate. Brain grey (GM) and white matter, brainstem sub-structures volumes and spinal cord cross-sectional area (SC-CSA) at C1-C2 vertebral levels were measured from a 3D-T1-weighted MRI. RESULTS Fast progressors showed significant GM, medulla oblongata and SC atrophy compared to HC (p<0.001, p=0.013 and p=0.008) and significant GM atrophy compared to slow progressors (p=0.008). GM volume correlated with the ALSFRS-R progression rate (Rho/p=-0.487/0.007), the ALSFRS-R at 3-months (Rho/p=0.622/0.002), and ALSFRS-R at 6-months (Rho/p=0.407/0.039). Medulla oblongata volume and SC-CSA correlated with the ALSFRS-R at 3-months (Rho/p=0.510/0.015 and Rho/p=0.479/0.024). MRI measures showed high performance to discriminate between fast and slow progressors. CONCLUSION Our study suggests an association between compartmental atrophy and disease aggressiveness. This result is consistent with the combination of upper and lower motor neuron degeneration as the main driver of disease worsening and severity in ALS. Our study highlights the potential of brain and spinal cord atrophy measured by MRI as biomarker of disease aggressiveness signature.
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Affiliation(s)
- Mohamed Mounir El Mendili
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.
- APHM, Hopital de la Timone, CEMEREM, Marseille, France.
- Centre de Résonance Magnétique Biologique et Médicale, CRMBM-CEMEREM, UMR 7339 CNRS - Aix-Marseille Université, 27 Bd Jean Moulin, 13005, Marseille, France.
| | - Annie Verschueren
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, Hopital de la Timone, CEMEREM, Marseille, France
- APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France
| | - Jean-Philippe Ranjeva
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, Hopital de la Timone, CEMEREM, Marseille, France
| | - Maxime Guye
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, Hopital de la Timone, CEMEREM, Marseille, France
| | - Shahram Attarian
- APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France
- Aix Marseille Univ, INSERM, MMG, Marseille, France
| | - Wafaa Zaaraoui
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, Hopital de la Timone, CEMEREM, Marseille, France
| | - Aude-Marie Grapperon
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, Hopital de la Timone, CEMEREM, Marseille, France
- APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France
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7
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Arnold FJ, Nguyen AD, Bedlack RS, Bennett CL, La Spada AR. Intercellular transmission of pathogenic proteins in ALS: Exploring the pathogenic wave. Neurobiol Dis 2023:106218. [PMID: 37394036 DOI: 10.1016/j.nbd.2023.106218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 06/16/2023] [Accepted: 06/28/2023] [Indexed: 07/04/2023] Open
Abstract
In patients with amyotrophic lateral sclerosis (ALS), disease symptoms and pathology typically spread in a predictable spatiotemporal pattern beginning at a focal site of onset and progressing along defined neuroanatomical tracts. Like other neurodegenerative diseases, ALS is characterized by the presence of protein aggregates in postmortem patient tissue. Cytoplasmic, ubiquitin-positive aggregates of TDP-43 are observed in approximately 97% of sporadic and familial ALS patients, while SOD1 inclusions are likely specific to cases of SOD1-ALS. Additionally, the most common subtype of familial ALS, caused by a hexanucleotide repeat expansion in the first intron of the C9orf72 gene (C9-ALS), is further characterized by the presence of aggregated dipeptide repeat proteins (DPRs). As we will describe, cell-to-cell propagation of these pathological proteins tightly correlates with the contiguous spread of disease. While TDP-43 and SOD1 are capable of seeding protein misfolding and aggregation in a prion-like manner, C9orf72 DPRs appear to induce (and transmit) a 'disease state' more generally. Multiple mechanisms of intercellular transport have been described for all of these proteins, including anterograde and retrograde axonal transport, extracellular vesicle secretion, and macropinocytosis. In addition to neuron-to-neuron transmission, transmission of pathological proteins occurs between neurons and glia. Given that the spread of ALS disease pathology corresponds with the spread of symptoms in patients, the various mechanisms by which ALS-associated protein aggregates propagate through the central nervous system should be closely examined.
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Affiliation(s)
- F J Arnold
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA; Department of Neurology, Duke University School of Medicine, Durham, NC 27710, USA
| | - A D Nguyen
- Department of Neurology, Duke University School of Medicine, Durham, NC 27710, USA
| | - R S Bedlack
- Department of Neurology, Duke University School of Medicine, Durham, NC 27710, USA
| | - C L Bennett
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA; Department of Neurology, Duke University School of Medicine, Durham, NC 27710, USA.
| | - A R La Spada
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA; Department of Neurology, Duke University School of Medicine, Durham, NC 27710, USA; Departments of Neurobiology and Behavior, University of California, Irvine, Irvine, CA 92697, USA; Department of Neurology, University of California, Irvine, Irvine, CA, USA; Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA; UCI Center for Neurotherapeutics, University of California, Irvine, Irvine, CA 92697, USA.
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8
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Khamaysa M, Lefort M, Pélégrini-Issac M, Lackmy-Vallée A, Preuilh A, Devos D, Rolland AS, Desnuelle C, Chupin M, Marchand-Pauvert V, Querin G, Pradat PF. Comparison of spinal magnetic resonance imaging and classical clinical factors in predicting motor capacity in amyotrophic lateral sclerosis. J Neurol 2023:10.1007/s00415-023-11727-w. [PMID: 37103756 DOI: 10.1007/s00415-023-11727-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 04/28/2023]
Abstract
BACKGROUND Motor capacity is crucial in amyotrophic lateral sclerosis (ALS) clinical trial design and patient care. However, few studies have explored the potential of multimodal MRI to predict motor capacity in ALS. This study aims to evaluate the predictive value of cervical spinal cord MRI parameters for motor capacity in ALS compared to clinical prognostic factors. METHODS Spinal multimodal MRI was performed shortly after diagnosis in 41 ALS patients and 12 healthy participants as part of a prospective multicenter cohort study, the PULSE study (NCT00002013-A00969-36). Motor capacity was assessed using ALSFRS-R scores. Multiple stepwise linear regression models were constructed to predict motor capacity at 3 and 6 months from diagnosis, based on clinical variables, structural MRI measurements, including spinal cord cross-sectional area (CSA), anterior-posterior, and left-to-right cross-section diameters at vertebral levels from C1 to T4, and diffusion parameters in the lateral corticospinal tracts (LCSTs) and dorsal columns. RESULTS Structural MRI measurements were significantly correlated with the ALSFRS-R score and its sub-scores. And as early as 3 months from diagnosis, structural MRI measurements fit the best multiple linear regression model to predict the total ALSFRS-R (R2 = 0.70, p value = 0.0001) and arm sub-score (R2 = 0.69, p value = 0.0002), and combined with DTI metric in the LCST and clinical factors fit the best multiple linear regression model to predict leg sub-score (R2 = 0.73, p value = 0.0002). CONCLUSIONS Spinal multimodal MRI could be promising as a tool to enhance prognostic accuracy and serve as a motor function proxy in ALS.
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Affiliation(s)
- M Khamaysa
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - M Lefort
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - M Pélégrini-Issac
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - A Lackmy-Vallée
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - A Preuilh
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - D Devos
- Département de Neurology, Centre Référent SLA, CHU de Lille, Centre LICEND COEN, Lille, France
- Départment de Pharmacologie Médicale, Université de Lille, INSERM UMRS_1172 LilNCog, CHU de Lille, Centre LICEND COEN, Lille, France
| | - A-S Rolland
- Départment de Pharmacologie Médicale, Université de Lille, INSERM UMRS_1172 LilNCog, CHU de Lille, Centre LICEND COEN, Lille, France
| | - C Desnuelle
- Faculté Médecine de Nice, Département de Neurologie, Université Cote d'Azur, Nice, France
| | - M Chupin
- CATI Multicenter Neuroimaging Platform, Paris, France
| | - V Marchand-Pauvert
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - G Querin
- APHP, Service de Neuromyologie, Hôpital Pitié-Salpêtrière, Centre Référent Maladies Neuromusculaires Rares, Paris, France
- Institut de Myologie, I-Motion Clinical Trials Platform, Hôpital Pitié-Salpêtrière, Paris, France
| | - Pierre-François Pradat
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre Référent SLA, Paris, France.
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute Ulster University, C-TRIC, Altnagelvin Hospital, Derry/Londonderry, UK.
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9
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Nigri A, Dalla Bella E, Ferraro S, Medina Carrion JP, Demichelis G, Bersano E, Consonni M, Bischof A, Stanziano M, Palermo S, Lauria G, Bruzzone MG, Papinutto N. Cervical spinal cord atrophy in amyotrophic lateral sclerosis across disease stages. Ann Clin Transl Neurol 2023; 10:213-224. [PMID: 36599092 PMCID: PMC9930423 DOI: 10.1002/acn3.51712] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 11/11/2022] [Accepted: 11/21/2022] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE Spinal cord degeneration is a hallmark of amyotrophic lateral sclerosis. The assessment of gray matter and white matter cervical spinal cord atrophy across clinical stages defined using the King's staging system could advance the understanding of amyotrophic lateral sclerosis progression. METHODS We assessed the in vivo spatial pattern of gray and white matter atrophy along cervical spinal cord (C2 to C6 segments) using 2D phase-sensitive inversion recovery imaging in a cohort of 44 amyotrophic lateral sclerosis patients, evaluating its change across the King's stages and the correlation with disability scored by the amyotrophic lateral sclerosis functional rating scale revised (ALSFRS-R) and disease duration. A mathematical model inferring the potential onset of cervical gray matter atrophy was developed. RESULTS In amyotrophic lateral sclerosis patients at King's stage 1, significant cervical spinal cord alterations were mainly identified in gray matter, whereas they involved both gray and white matter in patients at King's stage ≥ 2. Gray and white matter areas correlated with clinical disability at all cervical segments. C3-C4 level was the segment showing early gray matter atrophy starting about 7 to 20 months before symptom onset according to our model. INTERPRETATION Our findings suggest that cervical spinal cord atrophy spreads from gray to white matter across King's stages in amyotrophic lateral sclerosis, making spinal cord magnetic resonance imaging an in vivo assessment tool to measure the progression of the disease.
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Affiliation(s)
- Anna Nigri
- Neuroradiology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Eleonora Dalla Bella
- 3rd Neurology Unit and Motor Neuron Disease CentreFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Stefania Ferraro
- Neuroradiology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly,School of Life Science and Technology, MOE Key Laboratory for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengduChina
| | | | - Greta Demichelis
- Neuroradiology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Enrica Bersano
- 3rd Neurology Unit and Motor Neuron Disease CentreFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly,Department of Medical Biotechnology and Translational MedicineUniversity of MilanMilanItaly
| | - Monica Consonni
- 3rd Neurology Unit and Motor Neuron Disease CentreFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Antje Bischof
- Weill Institute for Neurosciences, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA,Department of Neurology with Institute for Translational NeurologyUniversity Hospital MünsterMünsterGermany
| | - Mario Stanziano
- Neuroradiology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly,ALS Centre, “Rita Levi Montalcini” Department of NeuroscienceUniversity of TurinTurinItaly
| | - Sara Palermo
- Neuroradiology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Giuseppe Lauria
- 3rd Neurology Unit and Motor Neuron Disease CentreFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly,Department of Medical Biotechnology and Translational MedicineUniversity of MilanMilanItaly
| | | | - Nico Papinutto
- Weill Institute for Neurosciences, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
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10
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Toh C, Keslake A, Payne T, Onwuegbuzie A, Harding J, Baster K, Hoggard N, Shaw PJ, Wilkinson ID, Jenkins TM. Analysis of brain and spinal MRI measures in a common domain to investigate directional neurodegeneration in motor neuron disease. J Neurol 2023; 270:1682-1690. [PMID: 36509983 PMCID: PMC9971079 DOI: 10.1007/s00415-022-11520-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/26/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) of the brain and cervical spinal cord is often performed in diagnostic evaluation of suspected motor neuron disease/amyotrophic lateral sclerosis (MND/ALS). Analysis of MRI-derived tissue damage metrics in a common domain facilitates group-level inferences on pathophysiology. This approach was applied to address competing hypotheses of directionality of neurodegeneration, whether anterograde, cranio-caudal dying-forward from precentral gyrus or retrograde, dying-back. METHODS In this cross-sectional study, MRI was performed on 75 MND patients and 13 healthy controls. Precentral gyral thickness was estimated from volumetric T1-weighted images using FreeSurfer, corticospinal tract fractional anisotropy (FA) from diffusion tensor imaging using FSL, and cross-sectional cervical cord area between C1-C8 levels using Spinal Cord Toolbox. To analyse these multimodal data within a common domain, individual parameter estimates representing tissue damage at each corticospinal tract level were first converted to z-scores, referenced to healthy control norms. Mixed-effects linear regression models were then fitted to these z-scores, with gradients hypothesised to represent directionality of neurodegeneration. RESULTS At group-level, z-scores did not differ significantly between precentral gyral and intracranial corticospinal tract tissue damage estimates (regression coefficient - 0.24, [95% CI - 0.62, 0.14], p = 0.222), but step-changes were evident between intracranial corticospinal tract and C1 (1.14, [95% CI 0.74, 1.53], p < 0.001), and between C5 and C6 cord levels (0.98, [95% CI 0.58, 1.38], p < 0.001). DISCUSSION Analysis of brain and cervical spinal MRI data in a common domain enabled investigation of pathophysiological hypotheses in vivo. A cranio-caudal step-change in MND patients was observed, and requires further investigation in larger cohorts.
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Affiliation(s)
- C Toh
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - A Keslake
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - T Payne
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - A Onwuegbuzie
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - J Harding
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - K Baster
- School of Mathematics and Statistics, University of Sheffield, Sheffield, UK
| | - N Hoggard
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - P J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - I D Wilkinson
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - T M Jenkins
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.
- Royal Perth Hospital, Victoria Square, Perth, WA, 6000, Australia.
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11
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Navas-Sánchez FJ, Marcos-Vidal L, de Blas DM, Fernández-Pena A, Alemán-Gómez Y, Guzmán-de-Villoria JA, Romero J, Catalina I, Lillo L, Muñoz-Blanco JL, Ordoñez-Ugalde A, Quintáns B, Sobrido MJ, Carmona S, Grandas F, Desco M. Tract-specific damage at spinal cord level in pure hereditary spastic paraplegia type 4: a diffusion tensor imaging study. J Neurol 2022; 269:3189-3203. [PMID: 34999956 DOI: 10.1007/s00415-021-10933-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 12/03/2021] [Accepted: 12/03/2021] [Indexed: 01/15/2023]
Abstract
BACKGROUND SPG4 is a subtype of hereditary spastic paraplegia (HSP), an upper motor neuron disorder characterized by axonal degeneration of the corticospinal tracts and the fasciculus gracilis. The few neuroimaging studies that have focused on the spinal cord in HSP are based mainly on the analysis of structural characteristics. METHODS We assessed diffusion-related characteristics of the spinal cord using diffusion tensor imaging (DTI), as well as structural and shape-related properties in 12 SPG4 patients and 14 controls. We used linear mixed effects models up to T3 in order to analyze the global effects of 'group' and 'clinical data' on structural and diffusion data. For DTI, we carried out a region of interest (ROI) analysis in native space for the whole spinal cord, the anterior and lateral funiculi, and the dorsal columns. We also performed a voxelwise analysis of the spinal cord to study local diffusion-related changes. RESULTS A reduced cross-sectional area was observed in the cervical region of SPG4 patients, with significant anteroposterior flattening. DTI analyses revealed significantly decreased fractional anisotropy (FA) and increased radial diffusivity at all the cervical and thoracic levels, particularly in the lateral funiculi and dorsal columns. The FA changes in SPG4 patients were significantly related to disease severity, measured as the Spastic Paraplegia Rating Scale score. CONCLUSIONS Our results in SPG4 indicate tract-specific axonal damage at the level of the cervical and thoracic spinal cord. This finding is correlated with the degree of motor disability.
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Affiliation(s)
- Francisco J Navas-Sánchez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain. .,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
| | - Luis Marcos-Vidal
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Departamento de Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Daniel Martín de Blas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Departamento de Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Alberto Fernández-Pena
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Departamento de Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Yasser Alemán-Gómez
- Department of Psychiatry, Centre Hospitalier Universitaire Vaudois, Prilly, Switzerland.,Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.,Medical Image Analysis Laboratory (MIAL), Centre d'Imagerie BioMédicale (CIBM), Lausanne, Switzerland
| | - Juan A Guzmán-de-Villoria
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Radiodiagnóstico, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Julia Romero
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Radiodiagnóstico, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Irene Catalina
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Neurología, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Laura Lillo
- Servicio de Neurología, Hospital Ruber Internacional, Madrid, Spain
| | - José L Muñoz-Blanco
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Neurología, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Andrés Ordoñez-Ugalde
- Instituto de Investigación Sanitaria, Hospital Clínico Universitario, Santiago de Compostela, Spain.,Laboratorio Biomolecular, Cuenca, Ecuador.,Unidad de Genética y Molecular, Hospital de Especialidades José Carrasco Arteaga, Cuenca, Ecuador
| | - Beatriz Quintáns
- Instituto de Investigación Sanitaria, Hospital Clínico Universitario, Santiago de Compostela, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER-U711), Madrid, Spain.,Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain
| | - María-Jesús Sobrido
- Instituto de Investigación Sanitaria, Hospital Clínico Universitario, Santiago de Compostela, Spain.,Instituto de Investigación Biomédica, Hospital Clínico Universitario de A Coruña, SERGAS, A Coruña, Spain
| | - Susanna Carmona
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Francisco Grandas
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Neurología, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Manuel Desco
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Departamento de Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.,Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
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12
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Leoni TB, Rezende TJR, Peluzzo TM, Martins MP, Neto ARC, Gonzalez-Salazar C, Cruzeiro MM, Camargos ST, de Souza LC, França MC. Structural brain and spinal cord damage in symptomatic and pre-symptomatic VAPB-related ALS. J Neurol Sci 2022; 434:120126. [PMID: 35007920 DOI: 10.1016/j.jns.2021.120126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 12/08/2021] [Accepted: 12/27/2021] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The VAPB gene is associated with fALS (fALS 8). This disease presents a variable phenotype and no study sought to characterize its neuroanatomical abnormalities until now. This study aims to evaluate structural brain and spinal cord abnormalities in symptomatic and pre-symptomatic VAPB-related ALS. METHODS This cohort included 10 presymptomatic and 20 symptomatic carriers of the Pro56Ser VAPB variant as well as 30 matched controls and 20 individuals with sporadic ALS. They underwent detailed clinical evaluation and MRI in a 3 T scanner. Using volumetric T1 sequence, we computed cerebral cortical thickness (FreeSurfer), basal ganglia volumetry (T1 Multi-atlas) and SC morphometry (SpineSeg). DTI was used to assess white matter integrity (DTI Multi-atlas). Groups were compared using a generalized linear model with Bonferroni-corrected p values<0.05. We also plotted VAPB brain expression map using Allen Human Brain Atlas to compare with imaging findings. RESULTS Mean age of presymptomatic and symptomatic subjects were 43.2 and 51.9 years, respectively. Most patients had a predominant lower motor neuron phenotype (16/20). Sleep complaints and tremor were the most frequent additional manifestations. Compared to controls, symptomatic subjects had pallidal, brainstem and SC atrophy, whereas presymptomatic only had SC atrophy. This pattern also contrasted with the sALS group that presented motor cortex and corticospinal abnormalities. Brain structural damage and VAPB expression maps were highly overlapping. CONCLUSION VAPB-related ALS has a distinctive structural signature that targets the basal ganglia, brainstem and SC, which are regions with high VAPB expression. Neuroanatomical SC changes are evident before clinical onset of the disease.
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Affiliation(s)
- Tauana B Leoni
- Department of Neurology, School of Medical Sciences - University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Thiago Junqueira R Rezende
- Department of Neurology, School of Medical Sciences - University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Thiago M Peluzzo
- Department of Medical Genetics, School of Medical Sciences - University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Melina P Martins
- Department of Neurology, School of Medical Sciences - University of Campinas (UNICAMP), Campinas, SP, Brazil
| | | | - Carelis Gonzalez-Salazar
- Department of Neurology, School of Medical Sciences - University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Marcelo Maroco Cruzeiro
- Department of Internal Medicine, Federal University of Juiz de Fora (UFJF), Juiz de Fora, MG, Brazil
| | - Sarah Teixeira Camargos
- Department of Internal Medicine, School of Medicine - Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Leonardo Cruz de Souza
- Department of Internal Medicine, School of Medicine - Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Marcondes C França
- Department of Neurology, School of Medical Sciences - University of Campinas (UNICAMP), Campinas, SP, Brazil.
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13
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Cohen-Adad J, Alonso-Ortiz E, Abramovic M, Arneitz C, Atcheson N, Barlow L, Barry RL, Barth M, Battiston M, Büchel C, Budde M, Callot V, Combes AJE, De Leener B, Descoteaux M, de Sousa PL, Dostál M, Doyon J, Dvorak A, Eippert F, Epperson KR, Epperson KS, Freund P, Finsterbusch J, Foias A, Fratini M, Fukunaga I, Wheeler-Kingshott CAMG, Germani G, Gilbert G, Giove F, Gros C, Grussu F, Hagiwara A, Henry PG, Horák T, Hori M, Joers J, Kamiya K, Karbasforoushan H, Keřkovský M, Khatibi A, Kim JW, Kinany N, Kitzler H, Kolind S, Kong Y, Kudlička P, Kuntke P, Kurniawan ND, Kusmia S, Labounek R, Laganà MM, Laule C, Law CS, Lenglet C, Leutritz T, Liu Y, Llufriu S, Mackey S, Martinez-Heras E, Mattera L, Nestrasil I, O'Grady KP, Papinutto N, Papp D, Pareto D, Parrish TB, Pichiecchio A, Prados F, Rovira À, Ruitenberg MJ, Samson RS, Savini G, Seif M, Seifert AC, Smith AK, Smith SA, Smith ZA, Solana E, Suzuki Y, Tackley G, Tinnermann A, Valošek J, Van De Ville D, Yiannakas MC, Weber KA, Weiskopf N, Wise RG, Wyss PO, Xu J. Generic acquisition protocol for quantitative MRI of the spinal cord. Nat Protoc 2021; 16:4611-4632. [PMID: 34400839 PMCID: PMC8811488 DOI: 10.1038/s41596-021-00588-0] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 06/10/2021] [Indexed: 02/08/2023]
Abstract
Quantitative spinal cord (SC) magnetic resonance imaging (MRI) presents many challenges, including a lack of standardized imaging protocols. Here we present a prospectively harmonized quantitative MRI protocol, which we refer to as the spine generic protocol, for users of 3T MRI systems from the three main manufacturers: GE, Philips and Siemens. The protocol provides guidance for assessing SC macrostructural and microstructural integrity: T1-weighted and T2-weighted imaging for SC cross-sectional area computation, multi-echo gradient echo for gray matter cross-sectional area, and magnetization transfer and diffusion weighted imaging for assessing white matter microstructure. In a companion paper from the same authors, the spine generic protocol was used to acquire data across 42 centers in 260 healthy subjects. The key details of the spine generic protocol are also available in an open-access document that can be found at https://github.com/spine-generic/protocols . The protocol will serve as a starting point for researchers and clinicians implementing new SC imaging initiatives so that, in the future, inclusion of the SC in neuroimaging protocols will be more common. The protocol could be implemented by any trained MR technician or by a researcher/clinician familiar with MRI acquisition.
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Affiliation(s)
- Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada.
- Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, Quebec, Canada.
- Mila-Quebec AI Institute, Montreal, Quebec, Canada.
| | - Eva Alonso-Ortiz
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
| | - Mihael Abramovic
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Carina Arneitz
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Nicole Atcheson
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia
| | - Laura Barlow
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert L Barry
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
- Harvard-Massachusetts Institute of Technology Health Sciences & Technology, Cambridge, MA, USA
| | - Markus Barth
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia
| | - Marco Battiston
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Christian Büchel
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthew Budde
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Virginie Callot
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, Hopital Universitaire Timone, CEMEREM, Marseille, France
| | - Anna J E Combes
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Benjamin De Leener
- Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
- CHU Sainte-Justine Research Centre, Montreal, Quebec, Canada
| | - Maxime Descoteaux
- Centre de Recherche CHUS, CIMS, Sherbrooke, Quebec, Canada
- Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science department, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | | | - Marek Dostál
- UHB - University Hospital Brno and Masaryk University, Department of Radiology and Nuclear Medicine, Brno, Czech Republic
| | - Julien Doyon
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Adam Dvorak
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Falk Eippert
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Karla R Epperson
- Richard M. Lucas Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Kevin S Epperson
- Richard M. Lucas Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Patrick Freund
- Spinal Cord Injury Center Balgrist, University of Zurich, Zurich, Switzerland
| | - Jürgen Finsterbusch
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexandru Foias
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
| | - Michela Fratini
- Institute of Nanotechnology, CNR, Rome, Italy
- IRCCS Santa Lucia Foundation, Rome, Italy
| | - Issei Fukunaga
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Giancarlo Germani
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | | | - Federico Giove
- IRCCS Santa Lucia Foundation, Rome, Italy
- CREF - Museo storico della fisica e Centro studi e ricerche Enrico Fermi, Rome, Italy
| | - Charley Gros
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia
| | - Francesco Grussu
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Akifumi Hagiwara
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Pierre-Gilles Henry
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Tomáš Horák
- Multimodal and functional imaging laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic
| | - Masaaki Hori
- Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan
| | - James Joers
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Kouhei Kamiya
- Department of Radiology, the University of Tokyo, Tokyo, Japan
| | - Haleh Karbasforoushan
- Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - Miloš Keřkovský
- UHB - University Hospital Brno and Masaryk University, Department of Radiology and Nuclear Medicine, Brno, Czech Republic
| | - Ali Khatibi
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Joo-Won Kim
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nawal Kinany
- Institute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Hagen Kitzler
- Institute of Diagnostic and Interventional Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Shannon Kolind
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Yazhuo Kong
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Petr Kudlička
- Multimodal and functional imaging laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic
| | - Paul Kuntke
- Institute of Diagnostic and Interventional Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Nyoman D Kurniawan
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia
| | - Slawomir Kusmia
- CUBRIC, Cardiff University, Wales, UK
- Centre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering Department, University College London, London, UK
- Epilepsy Society MRI Unit, Chalfont St Peter, UK
| | - René Labounek
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Departments of Neurology and Biomedical Engineering, University Hospital Olomouc, Olomouc, Czech Republic
| | | | - Cornelia Laule
- Departments of Radiology, Pathology & Laboratory Medicine, Physics & Astronomy; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia, Canada
| | - Christine S Law
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Christophe Lenglet
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Tobias Leutritz
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Tiantan Image Research Center, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Sara Llufriu
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Sean Mackey
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Eloy Martinez-Heras
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Loan Mattera
- Fondation Campus Biotech Genève, Geneva, Switzerland
| | - Igor Nestrasil
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Kristin P O'Grady
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nico Papinutto
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Daniel Papp
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
- Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Deborah Pareto
- Neuroradiology Section, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Todd B Parrish
- Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Anna Pichiecchio
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering Department, University College London, London, UK
- E-health Centre, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Àlex Rovira
- Neuroradiology Section, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Marc J Ruitenberg
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Rebecca S Samson
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Giovanni Savini
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Maryam Seif
- Spinal Cord Injury Center Balgrist, University of Zurich, Zurich, Switzerland
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Alan C Seifert
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alex K Smith
- Wellcome Centre For Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zachary A Smith
- University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Elisabeth Solana
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Yuichi Suzuki
- Department of Radiology, the University of Tokyo, Tokyo, Japan
| | | | - Alexandra Tinnermann
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Valošek
- Department of Neurology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Dimitri Van De Ville
- Institute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Marios C Yiannakas
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Kenneth A Weber
- Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany
| | - Richard G Wise
- CUBRIC, Cardiff University, Wales, UK
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio University" of Chieti-Pescara, Chieti, Italy
| | - Patrik O Wyss
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Junqian Xu
- BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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14
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van de Stadt SIW, van Ballegoij WJC, Labounek R, Huffnagel IC, Kemp S, Nestrasil I, Engelen M. Spinal cord atrophy as a measure of severity of myelopathy in adrenoleukodystrophy. J Inherit Metab Dis 2020; 43:852-860. [PMID: 32077106 PMCID: PMC7383492 DOI: 10.1002/jimd.12226] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 02/13/2020] [Accepted: 02/17/2020] [Indexed: 12/13/2022]
Abstract
All men and most women with X-linked adrenoleukodystrophy (ALD) develop myelopathy in adulthood. As clinical trials with new potential disease-modifying therapies are emerging, sensitive outcome measures for quantifying myelopathy are needed. This prospective cohort study evaluated spinal cord size (cross-sectional area - CSA) and shape (eccentricity) as potential new quantitative outcome measures for myelopathy in ALD. Seventy-four baseline magnetic resonance imaging (MRI) scans, acquired in 42 male ALD patients and 32 age-matched healthy controls, and 26 follow-up scans of ALD patients were included in the study. We used routine T1 -weighted MRI sequences to measure mean CSA, eccentricity, right-left and anteroposterior diameters in the cervical spinal cord. We compared MRI measurements between groups and correlated CSA with clinical outcome measures of disease severity. Longitudinally, we compared MRI measurements between baseline and 1-year follow-up. CSA was significantly smaller in patients compared to controls on all measured spinal cord levels (P < .001). The difference was completely explained by the effect of the symptomatic subgroup. Furthermore, the spinal cord showed flattening (higher eccentricity and smaller anteroposterior diameters) in patients. CSA correlated strongly with all clinical measures of severity of myelopathy. There was no detectable change in CSA after 1-year follow-up. The cervical spinal cord in symptomatic ALD patients is smaller and flattened compared to controls, possibly due to atrophy of the dorsal columns. CSA is a reliable marker of disease severity and can be a valuable outcome measure in long-term follow-up studies in ALD. SYNOPSIS: A prospective cohort study in 42 adrenoleukodystrophy (ALD) patients and 32 controls demonstrated that the spinal cord cross-sectional area of patients is smaller compared to healthy controls and correlates with severity of myelopathy in patients, hence it could be valuable as a much needed surrogate outcome measure.
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Affiliation(s)
- Stephanie I. W. van de Stadt
- Department of Pediatric NeurologyEmma Children's Hospital, Amsterdam University Medical CentersAmsterdamThe Netherlands
| | - Wouter J. C. van Ballegoij
- Department of Pediatric NeurologyEmma Children's Hospital, Amsterdam University Medical CentersAmsterdamThe Netherlands
| | - René Labounek
- Division of Clinical Behavioral Neuroscience, Department of PediatricsUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Irene C. Huffnagel
- Department of Pediatric NeurologyEmma Children's Hospital, Amsterdam University Medical CentersAmsterdamThe Netherlands
| | - Stephan Kemp
- Laboratory Genetic Metabolic DiseasesAmsterdam University Medical CentersAmsterdamThe Netherlands
| | - Igor Nestrasil
- Division of Clinical Behavioral Neuroscience, Department of PediatricsUniversity of MinnesotaMinneapolisMinnesotaUSA
- Center for Magnetic Resonance Research, Department of RadiologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Marc Engelen
- Department of Pediatric NeurologyEmma Children's Hospital, Amsterdam University Medical CentersAmsterdamThe Netherlands
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15
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Harvey HB, Watson LC, Subramaniam RM, Burns J, Bykowski J, Chakraborty S, Ledbetter LN, Lee RK, Pannell JS, Pollock JM, Powers WJ, Rosenow JM, Shih RY, Slavin K, Utukuri PS, Corey AS. ACR Appropriateness Criteria® Movement Disorders and Neurodegenerative Diseases. J Am Coll Radiol 2020; 17:S175-S187. [PMID: 32370961 DOI: 10.1016/j.jacr.2020.01.042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 01/25/2020] [Indexed: 12/12/2022]
Abstract
Movement disorders and neurodegenerative diseases are a variety of conditions that involve progressive neuronal degeneration, injury, or death. Establishing the correct diagnosis of a movement disorder or neurodegenerative process can be difficult due to the variable features of these conditions, unusual clinical presentations, and overlapping symptoms and characteristics. MRI has an important role in the initial assessment of these patients, although a combination of imaging and laboratory and genetic tests is often needed for complete evaluation and management. This document summarizes the imaging appropriateness data for rapidly progressive dementia, chorea, Parkinsonian syndromes, suspected neurodegeneration with brain iron accumulation, and suspected motor neuron disease. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Laura C Watson
- Research Author, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Judah Burns
- Panel Chair, Montefiore Medical Center, Bronx, New York
| | | | - Santanu Chakraborty
- Ottawa Hospital Research Institute and the Department of Radiology, The University of Ottawa, Ottawa, Ontario, Canada; Canadian Association of Radiologists
| | | | - Ryan K Lee
- Einstein Healthcare Network, Philadelphia, Pennsylvania
| | - Jeffrey S Pannell
- University of California San Diego Medical Center, San Diego, California
| | | | - William J Powers
- University of North Carolina School of Medicine, Chapel Hill, North Carolina; American Academy of Neurology
| | - Joshua M Rosenow
- Northwestern University Feinberg School of Medicine, Chicago, Illinois; Neurosurgery expert
| | - Robert Y Shih
- Walter Reed National Military Medical Center, Bethesda, Maryland
| | | | | | - Amanda S Corey
- Specialty Chair, Atlanta VA Health Care System and Emory University, Atlanta, Georgia
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16
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Van Weehaeghe D, Devrome M, Schramm G, De Vocht J, Deckers W, Baete K, Van Damme P, Koole M, Van Laere K. Combined brain and spinal FDG PET allows differentiation between ALS and ALS mimics. Eur J Nucl Med Mol Imaging 2020; 47:2681-2690. [PMID: 32314027 DOI: 10.1007/s00259-020-04786-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 03/20/2020] [Indexed: 12/11/2022]
Abstract
PURPOSE Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder with on average a 1-year delay between symptom onset and diagnosis. Studies have demonstrated the value of [18F]-FDG PET as a sensitive diagnostic biomarker, but the discriminatory potential to differentiate ALS from patients with symptoms mimicking ALS has not been investigated. We investigated the combination of brain and spine [18F]-FDG PET-CT for differential diagnosis between ALS and ALS mimics in a real-life clinical diagnostic setting. METHODS Patients with a suspected diagnosis of ALS (n = 98; 64.8 ± 11 years; 61 M) underwent brain and spine [18F]-FDG PET-CT scans. In 62 patients, ALS diagnosis was confirmed (67.8 ± 10 years; 35 M) after longitudinal follow-up (average 18.1 ± 8.4 months). In 23 patients, another disease was diagnosed (ALS mimics, 60.9 ± 12.9 years; 17 M) and 13 had a variant motor neuron disease, primary lateral sclerosis (PLS; n = 4; 53.6 ± 2.5 years; 2 M) and progressive muscular atrophy (PMA; n = 9; 58.4 ± 7.3 years; 7 M). Spine metabolism was determined after manual and automated segmentation. VOI- and voxel-based comparisons were performed. Moreover, a support vector machine (SVM) approach was applied to investigate the discriminative power of regional brain metabolism, spine metabolism and the combination of both. RESULTS Brain metabolism was very similar between ALS mimics and ALS, whereas cervical and thoracic spine metabolism was significantly different (in standardised uptake values; cervical: ALS 2.1 ± 0.5, ALS mimics 1.9 ± 0.4; thoracic: ALS 1.8 ± 0.3, ALS mimics 1.5 ± 0.3). As both brain and spine metabolisms were very similar between ALS mimics and PLS/PMA, groups were pooled for accuracy analyses. Mean discrimination accuracy was 65.4%, 80.0% and 81.5%, using only brain metabolism, using spine metabolism and using both, respectively. CONCLUSION The combination of brain and spine FDG PET-CT with SVM classification is useful as discriminative biomarker between ALS and ALS mimics in a real-life clinical setting.
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Affiliation(s)
- Donatienne Van Weehaeghe
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
- Division of Nuclear Medicine, UZ Leuven, Herestraat 49, 3000, Leuven, Belgium.
| | - Martijn Devrome
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Georg Schramm
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Joke De Vocht
- Department of Neurology, University Hospital Leuven, Leuven, Belgium
| | - Wies Deckers
- Division of Nuclear Medicine, UZ Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Kristof Baete
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Division of Nuclear Medicine, UZ Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Philip Van Damme
- Department of Neurology, University Hospital Leuven, Leuven, Belgium
- Laboratory of Neurobiology, Center for Brain & Disease Research, VIB and KU Leuven, Leuven, Belgium
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Koen Van Laere
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Division of Nuclear Medicine, UZ Leuven, Herestraat 49, 3000, Leuven, Belgium
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17
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The upper cervical spinal cord in ALS assessed by cross-sectional and longitudinal 3T MRI. Sci Rep 2020; 10:1783. [PMID: 32020025 PMCID: PMC7000761 DOI: 10.1038/s41598-020-58687-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 01/20/2020] [Indexed: 02/08/2023] Open
Abstract
The upper cervical spinal cord is measured in a large longitudinal amyotrophic lateral sclerosis (ALS) cohort to evaluate its role as a biomarker. Specifically, the cervical spinal cord´s cross-sectional area (CSA) in plane of the segments C1–C3 was measured semi-automatically with T1-weighted 3T MRI sequences in 158 ALS patients and 86 controls. Six-month longitudinal follow-up MRI scans were analyzed in 103 patients. Compared to controls, in ALS there was a significant mean spinal cord atrophy (63.8 mm² vs. 60.8 mm², p = 0.001) which showed a trend towards worsening over time (mean spinal cord CSA decrease from 61.4 mm² to 60.6 mm² after 6 months, p = 0.06). Findings were most pronounced in the caudal segments of the upper cervical spinal cord and in limb-onset ALS. Baseline CSA was related to the revised ALS functional rating scale, disease duration, precentral gyrus thickness and total brain gray matter volume. In conclusion, spinal cord atrophy as assessed in brain MRIs in ALS patients mirrors the extent of overall neurodegeneration and parallels disease severity.
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18
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Sass LR, Khani M, Romm J, Schmid Daners M, McCain K, Freeman T, Carter GT, Weeks DL, Petersen B, Aldred J, Wingett D, Martin BA. Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients. Fluids Barriers CNS 2020; 17:4. [PMID: 31959193 PMCID: PMC6971921 DOI: 10.1186/s12987-019-0164-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 12/19/2019] [Indexed: 02/07/2023] Open
Abstract
Background Developing novel therapeutic agents to treat amyotrophic lateral sclerosis (ALS) has been difficult due to multifactorial pathophysiologic processes at work. Intrathecal drug administration shows promise due to close proximity of cerebrospinal fluid (CSF) to affected tissues. Development of effective intrathecal pharmaceuticals will rely on accurate models of how drugs are dispersed in the CSF. Therefore, a method to quantify these dynamics and a characterization of differences across disease states is needed. Methods Complete intrathecal 3D CSF geometry and CSF flow velocities at six axial locations in the spinal canal were collected by T2-weighted and phase-contrast MRI, respectively. Scans were completed for eight people with ALS and ten healthy controls. Manual segmentation of the spinal subarachnoid space was performed and coupled with an interpolated model of CSF flow within the spinal canal. Geometric and hydrodynamic parameters were then generated at 1 mm slice intervals along the entire spine. Temporal analysis of the waveform spectral content and feature points was also completed. Results Comparison of ALS and control groups revealed a reduction in CSF flow magnitude and increased flow propagation velocities in the ALS cohort. Other differences in spectral harmonic content and geometric comparisons may support an overall decrease in intrathecal compliance in the ALS group. Notably, there was a high degree of variability between cases, with one ALS patient displaying nearly zero CSF flow along the entire spinal canal. Conclusion While our sample size limits statistical confidence about the differences observed in this study, it was possible to measure and quantify inter-individual and cohort variability in a non-invasive manner. Our study also shows the potential for MRI based measurements of CSF geometry and flow to provide information about the hydrodynamic environment of the spinal subarachnoid space. These dynamics may be studied further to understand the behavior of CSF solute transport in healthy and diseased states.
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Affiliation(s)
- Lucas R Sass
- Neurophysiological Imaging and Modeling Laboratory, University of Idaho, 875 Perimeter Dr. MS1122, Moscow, ID, 83844, USA
| | - Mohammadreza Khani
- Neurophysiological Imaging and Modeling Laboratory, University of Idaho, 875 Perimeter Dr. MS1122, Moscow, ID, 83844, USA
| | - Jacob Romm
- Neurophysiological Imaging and Modeling Laboratory, University of Idaho, 875 Perimeter Dr. MS1122, Moscow, ID, 83844, USA.,University of Washington School of Medicine, 1959 NE Pacific St, Seattle, WA, 98195, USA
| | - Marianne Schmid Daners
- Product Development Group Zurich, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
| | - Kyle McCain
- Neurophysiological Imaging and Modeling Laboratory, University of Idaho, 875 Perimeter Dr. MS1122, Moscow, ID, 83844, USA
| | - Tavara Freeman
- Neurophysiological Imaging and Modeling Laboratory, University of Idaho, 875 Perimeter Dr. MS1122, Moscow, ID, 83844, USA
| | - Gregory T Carter
- St. Luke's Rehabilitation Institute, 711 South Cowley St., Spokane, WA, 99202, USA
| | - Douglas L Weeks
- St. Luke's Rehabilitation Institute, 711 South Cowley St., Spokane, WA, 99202, USA
| | - Brian Petersen
- Inland Imaging PS and LLC, 801 South Stevens St., Spokane, WA, 99204, USA
| | - Jason Aldred
- Selkirk Neurology, 610 South Sherman St. #201, Spokane, WA, 99202, USA
| | - Dena Wingett
- Inland Imaging LLC, 801 South Stevens St., Spokane, WA, 99204, USA
| | - Bryn A Martin
- Neurophysiological Imaging and Modeling Laboratory, University of Idaho, 875 Perimeter Dr. MS1122, Moscow, ID, 83844, USA. .,Biological Engineering, University of Idaho, 875 Perimeter Dr. MS0904, Moscow, ID, 83844-0904, USA.
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19
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van der Burgh HK, Westeneng HJ, Meier JM, van Es MA, Veldink JH, Hendrikse J, van den Heuvel MP, van den Berg LH. Cross-sectional and longitudinal assessment of the upper cervical spinal cord in motor neuron disease. NEUROIMAGE-CLINICAL 2019; 24:101984. [PMID: 31499409 PMCID: PMC6734179 DOI: 10.1016/j.nicl.2019.101984] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 08/12/2019] [Accepted: 08/13/2019] [Indexed: 11/28/2022]
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease characterized by both upper and lower motor neuron degeneration. While neuroimaging studies of the brain can detect upper motor neuron degeneration, these brain MRI scans also include the upper part of the cervical spinal cord, which offers the possibility to expand the focus also towards lower motor neuron degeneration. Here, we set out to investigate cross-sectional and longitudinal disease effects in the upper cervical spinal cord in patients with ALS, progressive muscular atrophy (PMA: primarily lower motor neuron involvement) and primary lateral sclerosis (PLS: primarily upper motor neuron involvement), and their relation to disease severity and grey and white matter brain measurements. Methods We enrolled 108 ALS patients without C9orf72 repeat expansion (ALS C9–), 26 ALS patients with C9orf72 repeat expansion (ALS C9+), 28 PLS patients, 56 PMA patients and 114 controls. During up to five visits, longitudinal T1-weighted brain MRI data were acquired and used to segment the upper cervical spinal cord (UCSC, up to C3) and individual cervical segments (C1 to C4) to calculate cross-sectional areas (CSA). Using linear (mixed-effects) models, the CSA differences were assessed between groups and correlated with disease severity. Furthermore, a relationship between CSA and brain measurements was examined in terms of cortical thickness of the precentral gyrus and white matter integrity of the corticospinal tract. Results Compared to controls, CSAs at baseline showed significantly thinner UCSC in all groups in the MND spectrum. Over time, ALS C9– patients demonstrated significant thinning of the UCSC and, more specifically, of segment C3 compared to controls. Progressive thinning over time was also observed in C1 of PMA patients, while ALS C9+ and PLS patients did not show any longitudinal changes. Longitudinal spinal cord measurements showed a significant relationship with disease severity and we found a significant correlation between spinal cord and motor cortex thickness or corticospinal tract integrity for PLS and PMA, but not for ALS patients. Discussion Our findings demonstrate atrophy of the upper cervical spinal cord in the motor neuron disease spectrum, which was progressive over time for all but PLS patients. Cervical spinal cord imaging in ALS seems to capture different disease effects than brain neuroimaging. Atrophy of the cervical spinal cord is therefore a promising additional biomarker for both diagnosis and disease progression and could help in the monitoring of treatment effects in future clinical trials. Atrophy of upper cervical spinal cord is shown in the motor neuron disease spectrum. Progressive cervical spinal cord thinning occurs over time for all but PLS patients. Cervical spinal cord imaging is a potential biomarker for disease progression in ALS.
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Affiliation(s)
- Hannelore K van der Burgh
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Henk-Jan Westeneng
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Jil M Meier
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Michael A van Es
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Jeroen Hendrikse
- Department of Radiology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Martijn P van den Heuvel
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, VU University Amsterdam, Amsterdam, The Netherlands.
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
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20
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Querin G, Bede P, El Mendili MM, Li M, Pélégrini-Issac M, Rinaldi D, Catala M, Saracino D, Salachas F, Camuzat A, Marchand-Pauvert V, Cohen-Adad J, Colliot O, Le Ber I, Pradat PF. Presymptomatic spinal cord pathology in c9orf72 mutation carriers: A longitudinal neuroimaging study. Ann Neurol 2019; 86:158-167. [PMID: 31177556 DOI: 10.1002/ana.25520] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 06/03/2019] [Accepted: 06/06/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVE C9orf72 hexanucleotide repeats expansions account for almost half of familial amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) cases. Recent imaging studies in asymptomatic C9orf72 carriers have demonstrated cerebral white (WM) and gray matter (GM) degeneration before the age of 40 years. The objective of this study was to characterize cervical spinal cord (SC) changes in asymptomatic C9orf72 hexanucleotide carriers. METHODS Seventy-two asymptomatic individuals were enrolled in a prospective study of first-degree relatives of ALS and FTD patients carrying the c9orf72 hexanucleotide expansion. Forty of them carried the pathogenic mutation (C9+ ). Each subject underwent quantitative cervical cord imaging. Structural GM and WM metrics and diffusivity parameters were evaluated at baseline and 18 months later. Data were analyzed in C9+ and C9- subgroups, and C9+ subjects were further stratified by age. RESULTS At baseline, significant WM atrophy was detected at each cervical vertebral level in C9+ subjects older than 40 years without associated changes in GM and diffusion tensor imaging parameters. At 18-month follow-up, WM atrophy was accompanied by significant corticospinal tract (CST) fractional anisotropy (FA) reductions. Intriguingly, asymptomatic C9+ subjects older than 40 years with family history of ALS (as opposed to FTD) also exhibited significant CST FA reduction at baseline. INTERPRETATION Cervical SC imaging detects WM atrophy exclusively in C9+ subjects older than 40 years, and progressive CST FA reductions can be identified on 18-month follow-up. Cervical SC magnetic resonance imaging readily captures presymptomatic pathological changes and disease propagation in c9orf72-associated conditions. ANN NEUROL 2019;86:158-167.
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Affiliation(s)
- Giorgia Querin
- Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France.,Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France
| | - Peter Bede
- Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France.,Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France.,Computational Neuroimaging Group, Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
| | - Mohamed Mounir El Mendili
- Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Menghan Li
- Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France
| | - Mélanie Pélégrini-Issac
- Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France
| | - Daisy Rinaldi
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France.,Reference Center for Rare or Early Dementia, Pitié-Salpêtrière Hospital, Paris, France
| | - Martin Catala
- Department of Neurology, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Sorbonne University, National Center for Scientific Research Mixed Unit of Research 7622, National Institute of Health and Medical Research Accademic Research Unit 1156, Biology Institute Paris-Seine, Paris, France
| | - Dario Saracino
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France
| | - François Salachas
- Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France
| | - Agnes Camuzat
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France
| | - Véronique Marchand-Pauvert
- Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France
| | - Julien Cohen-Adad
- NeuroPoly Laboratory, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada.,Functional Neuroimaging Unit, Research Center of the University Institute of Geriatrics of Montreal, University of Montreal, Montreal, Quebec, Canada
| | - Olivier Colliot
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France.,Aramis Project Team, Inria Research Center of Paris, Paris, France.,Center for Image Acquisition and Processing, Brain and Spinal Cord Institute, Paris, France
| | - Isabelle Le Ber
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France.,Reference Center for Rare or Early Dementia, Pitié-Salpêtrière Hospital, Paris, France.,Institute of Memory and Alzheimer's Disease, Center of Excellence of Neurodegenerative Disease, Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France
| | - Pierre-François Pradat
- Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France.,Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France.,Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Clinical-Translational Research and Innovation Center, Altnagelvin Hospital, Londonderry, United Kingdom
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21
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El Mendili MM, Querin G, Bede P, Pradat PF. Spinal Cord Imaging in Amyotrophic Lateral Sclerosis: Historical Concepts-Novel Techniques. Front Neurol 2019; 10:350. [PMID: 31031688 PMCID: PMC6474186 DOI: 10.3389/fneur.2019.00350] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 03/21/2019] [Indexed: 01/13/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is the most common adult onset motor neuron disease with no effective disease modifying therapies at present. Spinal cord degeneration is a hallmark feature of ALS, highlighted in the earliest descriptions of the disease by Lockhart Clarke and Jean-Martin Charcot. The anterior horns and corticospinal tracts are invariably affected in ALS, but up to recently it has been notoriously challenging to detect and characterize spinal pathology in vivo. With recent technological advances, spinal imaging now offers unique opportunities to appraise lower motor neuron degeneration, sensory involvement, metabolic alterations, and interneuron pathology in ALS. Quantitative spinal imaging in ALS has now been used in cross-sectional and longitudinal study designs, applied to presymptomatic mutation carriers, and utilized in machine learning applications. Despite its enormous clinical and academic potential, a number of physiological, technological, and methodological challenges limit the routine use of computational spinal imaging in ALS. In this review, we provide a comprehensive overview of emerging spinal cord imaging methods and discuss their advantages, drawbacks, and biomarker potential in clinical applications, clinical trial settings, monitoring, and prognostic roles.
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Affiliation(s)
- Mohamed Mounir El Mendili
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Biomedical Imaging Laboratory (LIB), Sorbonne University, CNRS, INSERM, Paris, France
| | - Giorgia Querin
- Biomedical Imaging Laboratory (LIB), Sorbonne University, CNRS, INSERM, Paris, France.,Department of Neurology, Pitié-Salpêtrière University Hospital (APHP), Paris, France
| | - Peter Bede
- Biomedical Imaging Laboratory (LIB), Sorbonne University, CNRS, INSERM, Paris, France.,Department of Neurology, Pitié-Salpêtrière University Hospital (APHP), Paris, France.,Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Pierre-François Pradat
- Biomedical Imaging Laboratory (LIB), Sorbonne University, CNRS, INSERM, Paris, France.,Department of Neurology, Pitié-Salpêtrière University Hospital (APHP), Paris, France
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22
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Berning BA, Walker AK. The Pathobiology of TDP-43 C-Terminal Fragments in ALS and FTLD. Front Neurosci 2019; 13:335. [PMID: 31031584 PMCID: PMC6470282 DOI: 10.3389/fnins.2019.00335] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 03/22/2019] [Indexed: 12/11/2022] Open
Abstract
During neurodegenerative disease, the multifunctional RNA-binding protein TDP-43 undergoes a vast array of post-translational modifications, including phosphorylation, acetylation, and cleavage. Many of these alterations may directly contribute to the pathogenesis of TDP-43 proteinopathies, which include most forms of amyotrophic lateral sclerosis (ALS) and approximately half of all frontotemporal dementia, pathologically identified as frontotemporal lobar degeneration (FTLD) with TDP-43 pathology. However, the relative contributions of the various TDP-43 post-translational modifications to disease remain unclear, and indeed some may be secondary epiphenomena rather than disease-causative. It is therefore critical to determine the involvement of each modification in disease processes to allow the design of targeted treatments. In particular, TDP-43 C-terminal fragments (CTFs) accumulate in the brains of people with ALS and FTLD and are therefore described as a neuropathological signature of these diseases. Remarkably, these TDP-43 CTFs are rarely observed in the spinal cord, even in ALS which involves dramatic degeneration of spinal motor neurons. Therefore, TDP-43 CTFs are not produced non-specifically in the course of all forms of TDP-43-related neurodegeneration, but rather variably arise due to additional factors influenced by regional heterogeneity in the central nervous system. In this review, we summarize how TDP-43 CTFs are generated and degraded by cells, and critique evidence from studies of TDP-43 CTF pathology in human disease tissues, as well as cell and animal models, to analyze the pathophysiological relevance of TDP-43 CTFs to ALS and FTLD. Numerous studies now indicate that, although TDP-43 CTFs are prevalent in ALS and FTLD brains, disease-related pathology is only variably reproduced in TDP-43 CTF cell culture models. Furthermore, TDP-43 CTF expression in both transgenic and viral-mediated in vivo models largely fails to induce motor or behavioral dysfunction reminiscent of human disease. We therefore conclude that although TDP-43 CTFs are a hallmark of TDP-43-related neurodegeneration in the brain, they are not a primary cause of ALS or FTLD.
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Affiliation(s)
- Britt A. Berning
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Adam K. Walker
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
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23
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Rezende TJR, de Paiva JLR, Martinez ARM, Lopes-Cendes I, Pedroso JL, Barsottini OGP, Cendes F, França MC. Structural signature of SCA3: From presymptomatic to late disease stages. Ann Neurol 2018; 84:401-408. [PMID: 30014526 DOI: 10.1002/ana.25297] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 07/09/2018] [Accepted: 07/11/2018] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Machado-Joseph disease (SCA3/MJD) is the most frequent spinocerebellar ataxia worldwide and characterized by brainstem, basal ganglia, and cerebellar damage. However, little is known about the natural history of the disease. This motivated us to determine the extension and progression of central nervous system involvement in SCA3/MJD using multimodal magnetic resonance imaging (MRI)-based analyses in a large cohort of patients (n = 79) and presymptomatic subjects (n = 12). METHODS All subjects underwent MRI in a 3T device to assess gray and white matter. To evaluate the cerebral and cerebellar cortices, we used measures from FreeSurfer and SUIT. T1-multiatlas assessed deep gray matter. Diffusion tensor imaging multiatlas was used to investigate cerebral white matter (WM) and SpineSeg to assess the cervical spinal cord. RESULTS There was widespread WM and cerebellar damage, in contrast to the restricted motor cortex involvement when all patients are compared to age- and sex-matched controls. Presymtomatic patients showed WM microstructural abnormalities mainly in the cerebellar and cerebral peduncles and volumetric reduction of midbrain, spinal cord, and substantia nigra. To assess the disease progression, we divided patients into four subgroups defined by time from ataxia onset. There was a clear pattern of evolving structural compromise, starting in infratentorial structures and progressing up to the cerebral cortex. CONCLUSION Structural damage in SCA3/MJD begins in the spinal cord, cerebellar peduncles, as well as substantia nigra and progresses to cerebral areas in the long term. These structural differences reveal some insights into the pathogenesis of SCA3/MJD and suggest a staging scheme to map the progression of the disease. Ann Neurol 2018;84:401-408.
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Affiliation(s)
| | | | | | - Iscia Lopes-Cendes
- Department of Medical Genetics, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
| | - José Luiz Pedroso
- Department of Neurology, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | | | - Fernando Cendes
- Department of Neurology, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
| | - Marcondes C França
- Department of Neurology, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
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24
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Piaggio N, Pardini M, Roccatagliata L, Scialò C, Cabona C, Bonzano L, Inglese M, Mancardi GL, Caponnetto C. Cord cross-sectional area at foramen magnum as a correlate of disability in amyotrophic lateral sclerosis. Eur Radiol Exp 2018; 2:13. [PMID: 29984352 PMCID: PMC6015117 DOI: 10.1186/s41747-018-0045-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 04/12/2018] [Indexed: 11/10/2022] Open
Abstract
Spinal cord atrophy is one of the hallmarks of amyotrophic lateral sclerosis (ALS); however, it is not routinely assessed in routine clinical practice. In the present study, we evaluated whether spinal cord cross-sectional area measured at the foramen magnum level using a magnetic resonance imaging head scan represents a clinically meaningful measure to be added to the whole-brain volume assessment. Using an active surface approach, we measured the cord area at the foramen magnum and brain parenchymal fraction on T1-weighted three-dimensional spoiled gradient recalled head scans in two groups of subjects: 23 patients with ALS (males/females, 13/10; mean ± standard deviation [SD] age 61.7 ± 10.3 years; median ALS Functional Rating Scale-Revised score 39, range 27-46) and 18 age- and sex-matched healthy volunteers (mean ± SD age 55.7 ± 10.2 years). Spinal cord area at the foramen magnum was significantly less in patients than in control subjects and was significantly correlated with disability as measured with the ALS Functional Rating Scale-Revised (ρ = 0.593, p < 0.005). This correlation remained significant after taking into account inter-individual differences in brain parenchymal fraction (ρ = 0.684, p < 0.001). Our data show that spinal cord area at the foramen magnum correlates with disability in ALS independently of whole-brain atrophy, thus indicating its potential as a disease biomarker.
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Affiliation(s)
- Niccolò Piaggio
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Matteo Pardini
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Luca Roccatagliata
- 2Department of Health Sciences (DISSAL), University of Genova, Via Pastore 1, 16132 Genoa, Italy.,3Department of Diagnostic and Interventional Neuroradiology, IRCCS AOU San Martino - IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Carlo Scialò
- 4Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST; International School for Advanced Studies (SISSA), Via Bonomea 265, Trieste, Italy
| | - Corrado Cabona
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Laura Bonzano
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Matilde Inglese
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy.,5Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY USA.,6Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA.,7Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Giovanni L Mancardi
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Claudia Caponnetto
- IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
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25
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Faber I, Martinez ARM, de Rezende TJR, Martins CR, Martins MP, Lourenço CM, Marques W, Montecchiani C, Orlacchio A, Pedroso JL, Barsottini OGP, Lopes-Cendes Í, França MC. SPG11 mutations cause widespread white matter and basal ganglia abnormalities, but restricted cortical damage. Neuroimage Clin 2018; 19:848-857. [PMID: 29946510 PMCID: PMC6008284 DOI: 10.1016/j.nicl.2018.05.031] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 05/20/2018] [Accepted: 05/22/2018] [Indexed: 12/12/2022]
Abstract
SPG11 mutations are the major cause of autosomal recessive Hereditary Spastic Paraplegia. The disease has a wide phenotypic variability indicating many regions of the nervous system besides the corticospinal tract are affected. Despite this, anatomical and phenotypic characterization is restricted. In the present study, we investigate the anatomical abnormalities related to SPG11 mutations and how they relate to clinical and cognitive measures. Moreover, we aim to depict how the disease course influences the regions affected, unraveling different susceptibility of specific neuronal populations. We performed clinical and paraclinical studies encompassing neuropsychological, neuroimaging, and neurophysiological tools in a cohort of twenty-five patients and age matched controls. We assessed cortical thickness (FreeSurfer software), deep grey matter volumes (T1-MultiAtlas tool), white matter microstructural damage (DTI-MultiAtlas) and spinal cord morphometry (Spineseg software) on a 3 T MRI scan. Mean age and disease duration were 29 and 13.2 years respectively. Sixty-four percent of the patients were wheelchair bound while 84% were demented. We were able to unfold a diffuse pattern of white matter integrity loss as well as basal ganglia and spinal cord atrophy. Such findings contrasted with a restricted pattern of cortical thinning (motor, limbic and parietal cortices). Electromyography revealed motor neuronopathy affecting 96% of the probands. Correlations with disease duration pointed towards a progressive degeneration of multiple grey matter structures and spinal cord, but not of the white matter. SPG11-related hereditary spastic paraplegia is characterized by selective neuronal vulnerability, in which a precocious and widespread white matter involvement is later followed by a restricted but clearly progressive grey matter degeneration.
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Key Words
- ACE-R, Addenbrooke's Cognitive Examination Revised
- ALS, amyotrophic lateral sclerosis
- CA, cord area
- CE, cord eccentricity
- CMAP, compound muscle action potential
- CST, corticospinal tract
- Complicated hereditary spastic paraplegia
- DTI, diffusion tensor imaging
- FA, fractional anisotropy
- GM, grey matter
- Grey matter
- HSP, hereditary spastic paraplegia
- LH, left hemisphere
- MD, mean diffusivity
- MOCA, Montreal cognitive assessment
- Motor neuron disorder
- NPI, neuropsychiatric inventory
- PNP, sensory-motor polyneuropathy
- PNS, peripheral nervous system
- RH, right hemisphere
- ROI, region of interest
- SC, spinal cord
- SNAP, sensory nerve action potential
- SPG11
- SPRS, Spastic Paraplegia Rating Scale
- STS, cortex adjacent to the superior temporal sulcus
- Spinal cord
- Thinning of the corpus callosum
- WES, whole exome sequencing
- WM, white matter
- White matter
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Affiliation(s)
- Ingrid Faber
- Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil
| | | | | | | | | | | | - Wilson Marques
- Department of Neurology, University of São Paulo (USP-RP), Ribeirão Preto, Brazil
| | - Celeste Montecchiani
- Laboratorio di Neurogenetica, Centro Europeo di Ricerca sul Cervello (CERC) - Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia, Rome, Italy
| | - Antonio Orlacchio
- Laboratorio di Neurogenetica, Centro Europeo di Ricerca sul Cervello (CERC) - Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia, Rome, Italy; Dipartimento di Scienze Chirurgiche e Biomediche, Università di Perugia, Perugia, Italy
| | - Jose Luiz Pedroso
- Department of Neurology, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | | | - Íscia Lopes-Cendes
- Department of Medical Genetics, University of Campinas (UNICAMP), Campinas, Brazil
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26
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Gama MTD, Piccinin CC, Rezende TJR, Dion PA, Rouleau GA, França Junior MC, Barsottini OGP, Pedroso JL. Multimodal neuroimaging analysis in patients with SYNE1 Ataxia. J Neurol Sci 2018; 390:227-230. [PMID: 29801895 DOI: 10.1016/j.jns.2018.05.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 04/17/2018] [Accepted: 05/03/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND The gene SYNE1 is highly expressed in the cerebellum and its dysfunction is related to an autosomal recessive ataxia (SYNE1-ataxia). The disease was firstly considered a pure cerebellar ataxia however, recent studies have described a broader clinical presentation, including motor neuron disease symptoms. OBJECTIVES To investigate cerebellar and potential extra-cerebellar changes in SYNE1-ataxia using multimodal neuroimaging analyses. METHODS Six patients completed clinical and imaging exams, and were compared to age-gender-matched healthy controls. Gray matter was analyzed using FreeSurfer and CERES for brain and cerebellum, respectively. White matter was analyzed with DTI-TBSS while we used SpineSeg for spinal cord analysis. RESULTS We found significantly reduced cortical thickness (p < 0.05, FDR-corrected) in primary and association cortices, and volume reduction in subcortical structures, brainstem and cerebellum. White matter was found disrupted in both brain and cerebellum (p < 0.05, FWE-corrected). These results are consistent with the expression of the SYNE1 mRNA and its encoded protein in the brain. We failed to demonstrate spinal cord changes. CONCLUSIONS SYNE1-ataxia is, therefore, a relatively common cause of recessive ataxia characterized by complex multisystemic neurostructural changes consistent with the phenotypic heterogeneity and neuroimaging configures a potential marker of the disease.
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Affiliation(s)
- Maria T D Gama
- Division of General Neurology and Ataxia Unit, Department of Neurology, Federal University of Sao Paulo, Sao Paulo, Brazil
| | - Camila C Piccinin
- Neuroimaging Laboratory and Department of Neurology, State University of Campinas, Campinas, Sao Paulo, Brazil
| | - Thiago J R Rezende
- Neuroimaging Laboratory and Department of Neurology, State University of Campinas, Campinas, Sao Paulo, Brazil
| | - Patrick A Dion
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, Montreal, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, Montreal, Canada
| | - Marcondes C França Junior
- Neuroimaging Laboratory and Department of Neurology, State University of Campinas, Campinas, Sao Paulo, Brazil.
| | - Orlando G P Barsottini
- Division of General Neurology and Ataxia Unit, Department of Neurology, Federal University of Sao Paulo, Sao Paulo, Brazil
| | - José Luiz Pedroso
- Division of General Neurology and Ataxia Unit, Department of Neurology, Federal University of Sao Paulo, Sao Paulo, Brazil
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27
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Abstract
Spinocerebellar ataxia type 1 (SCA1) is an autosomal dominant disorder caused by a CAG repeat expansion, characterized by progressive cerebellar ataxia and pyramidal signs. Non-motor and extracerebellar symptoms may occur. MRI-based studies in SCA1 focused in the cerebellum and connections, but there are no data about cord damage in the disease and its clinical relevance. To evaluate in vivo spinal cord damage in SCA1, a group of 31 patients with SCA1 and 31 age- and gender-matched healthy controls underwent MRI on a 3T scanner. We used T1-weighted 3D images to estimate the cervical spinal cord area (CA) and eccentricity (CE) at three C2/C3 levels based on a semi-automatic image segmentation protocol. The scale for assessment and rating of ataxia (SARA) was used to quantify disease severity. The groups were significantly different regarding CA (47.26 ± 7.4 vs. 68.8 ± 5.7 mm2, p < 0.001) and CE values (0.803 ± 0.044 vs. 0.774 ± 0.043, p < 0.05). Furthermore, in the patient group, CA presented significant correlation with SARA scores (R = -0.633, p < 0.001) and CAGn expansion (R = -0.658, p < 0.001). CE was not associated with SARA scores (p = 0.431). In the multiple variable regression, CA was strongly associated with disease duration (coefficient -0.360, p < 0.05) and CAGn expansion (coefficient -1.124, p < 0.001). SCA1 is characterized by cervical cord atrophy and anteroposterior flattening. Morphometric analyses of the spinal cord MRI might be a useful biomarker in the disease.
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28
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Agosta F, Spinelli EG, Marjanovic IV, Stevic Z, Pagani E, Valsasina P, Salak-Djokic B, Jankovic M, Lavrnic D, Kostic VS, Filippi M. Unraveling ALS due to SOD1 mutation through the combination of brain and cervical cord MRI. Neurology 2018; 90:e707-e716. [PMID: 29367447 DOI: 10.1212/wnl.0000000000005002] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 11/09/2017] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To explore structural and functional changes of the brain and cervical cord in patients with amyotrophic lateral sclerosis (ALS) due to mutation in the superoxide dismutase (SOD1) gene compared with sporadic ALS. METHODS Twenty patients with SOD1 ALS, 11 with sporadic ALS, and 33 healthy controls underwent clinical evaluation and brain MRI. Cortical thickness analysis, diffusion tensor MRI of the corticospinal tracts (CST) and corpus callosum, and resting-state functional connectivity were performed. Patients with ALS also underwent cervical cord MRI to evaluate cord cross-sectional area and magnetization transfer ratio (MTR). RESULTS Patients with SOD1 ALS showed longer disease duration and slower rate of functional decline relative to those with sporadic ALS. No cortical thickness abnormalities were found in patients with ALS compared with controls. Fractional anisotropy showed that sporadic ALS patients had significant CST damage relative to both healthy controls (p = 0.001-0.02) and SOD1-related ALS (p = 0.05), although the latter showed alterations that were intermediate between controls and sporadic ALS. Functional hyperconnectivity of the motor cortex in the sensorimotor network was observed in patients with sporadic ALS relative to controls. Conversely, patients with SOD1 ALS showed lower cord cross-sectional area along the whole cervical cord relative to those with sporadic ALS (p < 0.001). No cord MTR differences were found between patient groups. CONCLUSIONS Patients with SOD1 ALS showed cervical cord atrophy relative to those with sporadic ALS and a relative preservation of brain motor structural and functional networks. Neurodegeneration in SOD1 ALS is likely to occur primarily in the spinal cord. An objective and accurate estimate of spinal cord damage has potential in the future assessment of preventive SOD1 ALS therapies.
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Affiliation(s)
- Federica Agosta
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Edoardo Gioele Spinelli
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Ivan V Marjanovic
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Zorica Stevic
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Paola Valsasina
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Biljana Salak-Djokic
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Milena Jankovic
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Dragana Lavrnic
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Vladimir S Kostic
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia
| | - Massimo Filippi
- From the Neuroimaging Research Unit (F.A., E.G.S., E.P., P.V., M.F.) and Department of Neurology (M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; and Clinic of Neurology (I.V.M., Z.S., B.S.-D., M.J., D.L., V.S.K.), Faculty of Medicine, University of Belgrade, Serbia.
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Rasoanandrianina H, Grapperon AM, Taso M, Girard OM, Duhamel G, Guye M, Ranjeva JP, Attarian S, Verschueren A, Callot V. Region-specific impairment of the cervical spinal cord (SC) in amyotrophic lateral sclerosis: A preliminary study using SC templates and quantitative MRI (diffusion tensor imaging/inhomogeneous magnetization transfer). NMR IN BIOMEDICINE 2017; 30:e3801. [PMID: 28926131 DOI: 10.1002/nbm.3801] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 07/24/2017] [Accepted: 08/07/2017] [Indexed: 06/07/2023]
Abstract
In this preliminary study, our objective was to investigate the potential of high-resolution anatomical imaging, diffusion tensor imaging (DTI) and conventional/inhomogeneous magnetization transfer imaging [magnetization transfer (MT)/inhomogeneous magnetization transfer (ihMT)] at 3 T, analyzed with template-extracted regions of interest, to measure the atrophy and structural changes of white (WM) and gray (GM) matter spinal cord (SC) occurring in patients with amyotrophic lateral sclerosis (ALS). Ten patients with ALS and 20 age-matched healthy controls were recruited. SC GM and WM areas were automatically segmented using dedicated templates. Atrophy indices were evaluated from T2 *-weighted images at each vertebral level from cervical C1 to C6. DTI and ihMT metrics were quantified within the corticospinal tract (CST), posterior sensory tract (PST) and anterior GM (aGM) horns at the C2 and C5 levels. Clinical disabilities of patients with ALS were evaluated using the Revised ALS Functional Rating Scale, upper motor neuron (UMN) and Medical Research Council scorings, and correlated with MR metrics. Compared with healthy controls, GM and WM atrophy was observed in patients with ALS, especially at lower cervical levels, where a strong correlation was also observed between GM atrophy and the UMN score (R = -0.75, p = 0.05 at C6). Interestingly, a significant decrease in ihMT ratio was found in all regions of interest (p < 0.0008), fractional anisotropy (FA) and MT ratios decreased significantly in CST, especially at C5 (p < 0.005), and λ// (axial diffusivity) decreased significantly in CST (p = 0.0004) and PST (p = 0.003) at C2. Strong correlations between MRI metrics and clinical scores were also found (0.47 < |R| < 0.87, p < 0.05). Altogether, these preliminary results suggest that high-resolution anatomical imaging and ihMT imaging, in addition to DTI, are valuable for the characterization of SC tissue impairment in ALS. In this study, in addition to an important SC WM demyelination, we also observed, for the first time in ALS, impairments of cervical aGM.
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Affiliation(s)
- Henitsoa Rasoanandrianina
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
- iLab-Spine International Associated Laboratory, Marseille-Montreal, France-Canada
- Aix-Marseille Université, IFSTTAR, LBA UMR T 24, Marseille, France
| | - Aude-Marie Grapperon
- Centre de Référence des Maladies neuro-musculaires et de la SLA, Hopital de La Timone, Marseille, France
| | - Manuel Taso
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
- iLab-Spine International Associated Laboratory, Marseille-Montreal, France-Canada
- Aix-Marseille Université, IFSTTAR, LBA UMR T 24, Marseille, France
| | - Olivier M Girard
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Guillaume Duhamel
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Maxime Guye
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Jean-Philippe Ranjeva
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Shahram Attarian
- Centre de Référence des Maladies neuro-musculaires et de la SLA, Hopital de La Timone, Marseille, France
- Aix Marseille Université, INSERM, GMGF, Marseille, France
| | - Annie Verschueren
- Centre de Référence des Maladies neuro-musculaires et de la SLA, Hopital de La Timone, Marseille, France
| | - Virginie Callot
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
- iLab-Spine International Associated Laboratory, Marseille-Montreal, France-Canada
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30
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Querin G, El Mendili MM, Lenglet T, Delphine S, Marchand-Pauvert V, Benali H, Pradat PF. Spinal cord multi-parametric magnetic resonance imaging for survival prediction in amyotrophic lateral sclerosis. Eur J Neurol 2017; 24:1040-1046. [PMID: 28586096 DOI: 10.1111/ene.13329] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 04/13/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE Assessing survival is a critical issue in patients with amyotrophic lateral sclerosis (ALS). Neuroimaging seems to be promising in the assessment of disease severity and several studies also suggest a strong relationship between spinal cord (SC) atrophy described by magnetic resonance imaging (MRI) and disease progression. The aim of the study was to determine the predictive added value of multimodal SC MRI on survival. METHODS Forty-nine ALS patients were recruited and clinical data were collected. Patients were scored on the Revised ALS Functional Rating Scale and manual muscle testing. They were followed longitudinally to assess survival. The cervical SC was imaged using the 3 T MRI system. Cord volume and cross-sectional area (CSA) at each vertebral level were computed. Diffusion tensor imaging metrics were measured. Imaging metrics and clinical variables were used as inputs for a multivariate Cox regression survival model. RESULTS On building a multivariate Cox regression model with clinical and MRI parameters, fractional anisotropy, magnetization transfer ratio and CSA at C2-C3, C4-C5, C5-C6 and C6-C7 vertebral levels were significant. Moreover, the hazard ratio calculated for CSA at the C3-C4 and C5-C6 levels indicated an increased risk for patients with SC atrophy (respectively 0.66 and 0.68). In our cohort, MRI parameters seem to be more predictive than clinical variables, which had a hazard ratio very close to 1. CONCLUSIONS It is suggested that multimodal SC MRI could be a useful tool in survival prediction especially if used at the beginning of the disease and when combined with clinical variables. To validate it as a biomarker, confirmation of the results in bigger independent cohorts of patients is warranted.
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Affiliation(s)
- G Querin
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France
| | - M M El Mendili
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,Department of Neurology, Icahn School of Medicine, Mount Sinai, NY, USA
| | - T Lenglet
- Département de Neurophysiologie, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - S Delphine
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,Institut des Neurosciences Translationnelles, Institut Du Cerveau Et De La Moelle Épinière - IHU-A-ICM, Paris, France
| | - V Marchand-Pauvert
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France
| | - H Benali
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France
| | - P-F Pradat
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,Département des Maladies du Système Nerveux, Centre référent SLA, APHP, Hôpital Pitié-Salpêtrière Paris, Paris, France
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31
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de Albuquerque M, Branco LMT, Rezende TJR, de Andrade HMT, Nucci A, França MC. Longitudinal evaluation of cerebral and spinal cord damage in Amyotrophic Lateral Sclerosis. NEUROIMAGE-CLINICAL 2017; 14:269-276. [PMID: 28203530 PMCID: PMC5294732 DOI: 10.1016/j.nicl.2017.01.024] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2016] [Revised: 01/19/2017] [Accepted: 01/23/2017] [Indexed: 11/29/2022]
Abstract
Objective To evaluate MRI-based parameters as biomarkers of Amyotrophic Lateral Sclerosis (ALS) progression. Methods Twenty-seven patients and 27 controls performed two clinical and MRI acquisitions 8 months apart. ALSFRS-R scale was used to quantify disease severity at both time points. Multimodal analyses of MRI included cortical thickness measurements (FreeSurfer software), analysis of white matter integrity using diffusion-tensor imaging (tract-based spatial statistics-TBSS) and measurement of cervical spinal cord cross-sectional area (SpineSeg software). All analyses were corrected for multiple comparisons. The standardized response mean (SRM = mean score change / standard deviation of score change) was calculated for all methods herein employed and used for comparison purposes. Results There were 18 men and mean age at first examination was 51.9 years. Mean ALSFRS-R scores at baseline and follow-up were 34.0 and 29.0, respectively. There was no region with progressive cortical thinning, but there was significant brainstem volumetric reduction (p = 0.001). TBSS analyses revealed progressive increase of AD (axial diffusivity) and MD (mean diffusivity) at the corpus callosum (p < 0.05), whereas SpineSeg showed progressive cord area reduction (p = 0.002). Cervical spinal cord cross-sectional area reduction was the only MRI parameter that correlated with ALSFRS-R change (r = 0.309, p = 0.038). SRM for ALSFRS-R was 0.95, for cord area 0.95, for corpus callosum AD 0.62 and MD 0.65, and for brainstem volume 0.002. Conclusions Structural MRI is able to detect short term longitudinal changes in ALS. Cervical spinal cord morphometry is a promising neuroimaging marker to assess ALS course. We identified reduction of the cervical spine area in patients with ALS. Clinical score and cervical spinal cord area were correlated in patients. Brainstem atrophy in ALS patients is progressive over 8 months. There is evidence of progressive damage to the corpus callosum and cervical cord. The progressive reduction in cord area correlates with clinical deterioration.
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Affiliation(s)
- Milena de Albuquerque
- Department of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil
| | - Lucas Melo T Branco
- Department of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil
| | - Thiago Junqueira R Rezende
- Department of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil
| | - Helen Maia Tavares de Andrade
- Department of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil
| | - Anamarli Nucci
- Department of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil
| | - Marcondes Cavalcante França
- Department of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil
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Grolez G, Moreau C, Danel-Brunaud V, Delmaire C, Lopes R, Pradat PF, El Mendili MM, Defebvre L, Devos D. The value of magnetic resonance imaging as a biomarker for amyotrophic lateral sclerosis: a systematic review. BMC Neurol 2016; 16:155. [PMID: 27567641 PMCID: PMC5002331 DOI: 10.1186/s12883-016-0672-6] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 08/10/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a fatal, rapidly progressive neurodegenerative disease that mainly affects the motor system. A number of potentially neuroprotective and neurorestorative disease-modifying drugs are currently in clinical development. At present, the evaluation of a drug's clinical efficacy in ALS is based on the ALS Functional Rating Scale Revised, motor tests and survival. However, these endpoints are general, variable and late-stage measures of the ALS disease process and thus require the long-term assessment of large cohorts. Hence, there is a need for more sensitive radiological biomarkers. Various sequences for magnetic resonance imaging (MRI) of the brain and spinal cord have may have value as surrogate biomarkers for use in future clinical trials. Here, we review the MRI findings in ALS, their clinical correlations, and their limitations and potential role as biomarkers. METHODS The PubMed database was screened to identify studies using MRI in ALS. We included general MRI studies with a control group and an ALS group and longitudinal studies even if a control group was lacking. RESULTS A total of 116 studies were analysed with MRI data and clinical correlations. The most disease-sensitive MRI patterns are in motor regions but the brain is more broadly affected. CONCLUSION Despite the existing MRI biomarkers, there is a need for large cohorts with long term MRI and clinical follow-up. MRI assessment could be improved by standardized MRI protocols with multicentre studies.
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Affiliation(s)
- G. Grolez
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - C. Moreau
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - V. Danel-Brunaud
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - C. Delmaire
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Neuroradiology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - R. Lopes
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Neuroradiology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - P. F. Pradat
- Laboratoire d’Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Paris, France
- Département des Maladies du Système Nerveux, Groupe Hospitalier Pitié-Salpêtrière, APHP, Paris, France
| | - M. M. El Mendili
- Laboratoire d’Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Paris, France
| | - L. Defebvre
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - D. Devos
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Medical Pharmacology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
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Abstract
Hereditary and metabolic myelopathies are a heterogeneous group of neurologic disorders characterized by clinical signs suggesting spinal cord dysfunction. Spastic weakness, limb ataxia without additional cerebellar signs, impaired vibration, and positional sensation are hallmark phenotypic features of these disorders. Hereditary, and to some extent, metabolic myelopathies are now recognized as more widespread systemic processes with axonal loss and demyelination. However, the concept of predominantly spinal cord disorders remains clinically helpful to differentiate these disorders from other neurodegenerative conditions. Furthermore, metabolic myelopathies are potentially treatable and an earlier diagnosis increases the likelihood of a good clinical recovery. This chapter reviews major types of degenerative myelopathies, hereditary spastic paraplegia, motor neuron disorders, spastic ataxias, and metabolic disorders, including leukodystrophies and nutritionally induced myelopathies, such as vitamin B12, E, and copper deficiencies. Neuroimaging studies usually detect a nonspecific spinal cord atrophy or demyelination of the corticospinal tracts and dorsal columns. Brain imaging can be also helpful in myelopathies caused by generalized neurodegeneration. Given the nonspecific nature of neuroimaging findings, we also review metabolic or genetic assays needed for the specific diagnosis of hereditary and metabolic myelopathies.
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Affiliation(s)
- Peter Hedera
- Department of Neurology, Vanderbilt University, Nashville, TN, USA.
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Fahl CN, Branco LMT, Bergo FPG, D'Abreu A, Lopes-Cendes I, França MC. Spinal cord damage in Machado-Joseph disease. THE CEREBELLUM 2015; 14:128-32. [PMID: 25370748 DOI: 10.1007/s12311-014-0619-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Machado-Joseph disease (SCA3) is the most frequent spinocerebellar ataxia worldwide and characterized by remarkable phenotypic heterogeneity. MRI-based studies in SCA3 focused in the cerebellum and connections, but little is known about cord damage in the disease and its clinical relevance. To evaluate the spinal cord damage in SCA3 through quantitative analysis of MRI scans. A group of 48 patients with SCA3 and 48 age and gender-matched healthy controls underwent MRI on a 3T scanner. We used T1-weighted 3D images to estimate the cervical spinal cord area (CA) and eccentricity (CE) at three C2/C3 levels based on a semi-automatic image segmentation protocol. The scale for assessment and rating of ataxia (SARA) was employed to quantify disease severity. The two groups-SCA3 and controls-were significantly different regarding CA (49.5 ± 7.3 vs 67.2 ± 6.3 mm(2), p < 0.001) and CE values (0.79 ± 0.06 vs 0.75 ± 0.05, p = 0.005). In addition, CA presented a significant correlation with SARA scores in the patient group (p = 0.010). CE was not associated with SARA scores (p = 0.857). In the multiple variable regression, we found that disease duration was the only variable associated with CA (coefficient = -0.629, p = 0.025). SCA3 is characterized by cervical cord atrophy and antero-posterior flattening. In addition, the spinal cord areas did correlate with disease severity. This suggests that quantitative analyses of the spinal cord MRI might be a useful biomarker in SCA3.
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Affiliation(s)
- Camila N Fahl
- Department of Neurology and Neuroimaging Laboratory, University of Campinas (UNICAMP), Campinas, Sao Paulo, Brazil
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Logroscino G, Tortelli R, Rizzo G, Marin B, Preux PM, Malaspina A. Amyotrophic Lateral Sclerosis: An Aging-Related Disease. CURRENT GERIATRICS REPORTS 2015. [DOI: 10.1007/s13670-015-0127-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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El Mendili MM, Chen R, Tiret B, Villard N, Trunet S, Pélégrini-Issac M, Lehéricy S, Pradat PF, Benali H. Fast and accurate semi-automated segmentation method of spinal cord MR images at 3T applied to the construction of a cervical spinal cord template. PLoS One 2015; 10:e0122224. [PMID: 25816143 PMCID: PMC4376938 DOI: 10.1371/journal.pone.0122224] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Accepted: 02/19/2015] [Indexed: 12/11/2022] Open
Abstract
Objective To design a fast and accurate semi-automated segmentation method for spinal cord 3T MR images and to construct a template of the cervical spinal cord. Materials and Methods A semi-automated double threshold-based method (DTbM) was proposed enabling both cross-sectional and volumetric measures from 3D T2-weighted turbo spin echo MR scans of the spinal cord at 3T. Eighty-two healthy subjects, 10 patients with amyotrophic lateral sclerosis, 10 with spinal muscular atrophy and 10 with spinal cord injuries were studied. DTbM was compared with active surface method (ASM), threshold-based method (TbM) and manual outlining (ground truth). Accuracy of segmentations was scored visually by a radiologist in cervical and thoracic cord regions. Accuracy was also quantified at the cervical and thoracic levels as well as at C2 vertebral level. To construct a cervical template from healthy subjects’ images (n=59), a standardization pipeline was designed leading to well-centered straight spinal cord images and accurate probability tissue map. Results Visual scoring showed better performance for DTbM than for ASM. Mean Dice similarity coefficient (DSC) was 95.71% for DTbM and 90.78% for ASM at the cervical level and 94.27% for DTbM and 89.93% for ASM at the thoracic level. Finally, at C2 vertebral level, mean DSC was 97.98% for DTbM compared with 98.02% for TbM and 96.76% for ASM. DTbM showed similar accuracy compared with TbM, but with the advantage of limited manual interaction. Conclusion A semi-automated segmentation method with limited manual intervention was introduced and validated on 3T images, enabling the construction of a cervical spinal cord template.
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Affiliation(s)
- Mohamed-Mounir El Mendili
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75013, Paris, Île de France, France
- * E-mail:
| | - Raphaël Chen
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75013, Paris, Île de France, France
| | - Brice Tiret
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75013, Paris, Île de France, France
| | - Noémie Villard
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75013, Paris, Île de France, France
| | - Stéphanie Trunet
- APHP, Groupe Hospitalier Pitié-Salpêtrière, Service de Neuroradiologie, F-75013, Paris, Île de France, France
| | - Mélanie Pélégrini-Issac
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75013, Paris, Île de France, France
| | - Stéphane Lehéricy
- APHP, Groupe Hospitalier Pitié-Salpêtrière, Service de Neuroradiologie, F-75013, Paris, Île de France, France
- Sorbonne Universités, UPMC Univ Paris 06, UMR-S975, Inserm U975, CNRS UMR7225, Centre de recherche de l’Institut du Cerveau et de la Moelle épinière—CRICM, Centre de Neuroimagerie de Recherche—CENIR, F-75013, Paris, Île de France, France
| | - Pierre-François Pradat
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75013, Paris, Île de France, France
- APHP, Groupe Hospitalier Pitié-Salpêtrière, Département des Maladies du Système Nerveux, F-75013, Paris, Île de France, France
| | - Habib Benali
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75013, Paris, Île de France, France
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Rezende TJR, de Albuquerque M, Lamas GM, Martinez ARM, Campos BM, Casseb RF, Silva CB, Branco LMT, D'Abreu A, Lopes-Cendes I, Cendes F, França MC. Multimodal MRI-based study in patients with SPG4 mutations. PLoS One 2015; 10:e0117666. [PMID: 25658484 PMCID: PMC4320056 DOI: 10.1371/journal.pone.0117666] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Accepted: 12/29/2014] [Indexed: 01/18/2023] Open
Abstract
Mutations in the SPG4 gene (SPG4-HSP) are the most frequent cause of hereditary spastic paraplegia, but the extent of the neurodegeneration related to the disease is not yet known. Therefore, our objective is to identify regions of the central nervous system damaged in patients with SPG4-HSP using a multi-modal neuroimaging approach. In addition, we aimed to identify possible clinical correlates of such damage. Eleven patients (mean age 46.0 ± 15.0 years, 8 men) with molecular confirmation of hereditary spastic paraplegia, and 23 matched healthy controls (mean age 51.4 ± 14.1years, 17 men) underwent MRI scans in a 3T scanner. We used 3D T1 images to perform volumetric measurements of the brain and spinal cord. We then performed tract-based spatial statistics and tractography analyses of diffusion tensor images to assess microstructural integrity of white matter tracts. Disease severity was quantified with the Spastic Paraplegia Rating Scale. Correlations were then carried out between MRI metrics and clinical data. Volumetric analyses did not identify macroscopic abnormalities in the brain of hereditary spastic paraplegia patients. In contrast, we found extensive fractional anisotropy reduction in the corticospinal tracts, cingulate gyri and splenium of the corpus callosum. Spinal cord morphometry identified atrophy without flattening in the group of patients with hereditary spastic paraplegia. Fractional anisotropy of the corpus callosum and pyramidal tracts did correlate with disease severity. Hereditary spastic paraplegia is characterized by relative sparing of the cortical mantle and remarkable damage to the distal portions of the corticospinal tracts, extending into the spinal cord.
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Affiliation(s)
- Thiago J. R. Rezende
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Milena de Albuquerque
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Gustavo M. Lamas
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | | | - Brunno M. Campos
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Raphael F. Casseb
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Cynthia B. Silva
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Lucas M. T. Branco
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Anelyssa D'Abreu
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Iscia Lopes-Cendes
- Department of Medical Genetics, University of Campinas (UNICAMP), São Paulo, Campinas, Brazil
| | - Fernando Cendes
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Marcondes C. França
- Departament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
- * E-mail:
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Chiò A, Pagani M, Agosta F, Calvo A, Cistaro A, Filippi M. Neuroimaging in amyotrophic lateral sclerosis: insights into structural and functional changes. Lancet Neurol 2014; 13:1228-40. [PMID: 25453462 DOI: 10.1016/s1474-4422(14)70167-x] [Citation(s) in RCA: 169] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
In the past two decades, structural and functional neuroimaging findings have greatly modified longstanding notions regarding the pathophysiology of amyotrophic lateral sclerosis (ALS). Neuroimaging studies have shown that anatomical and functional lesions spread beyond precentral cortices and corticospinal tracts, to include the corpus callosum; frontal, sensory, and premotor cortices; thalamus; and midbrain. Both MRI and PET studies have shown early and diffuse loss of inhibitory cortical interneurons in the motor cortex (increased levels of functional connectivity and loss of GABAergic neurons, respectively) and diffuse gliosis in white-matter tracts. In ALS endophenotypes, neuroimaging has also shown a diverse spreading of lesions and a dissimilar impairment of functional and structural connections. A possible role of PET in the diagnosis of ALS has recently been proposed. However, most neuroimaging studies have pitfalls, such as a small number and poor clinical characterisation of patients, absence of adequate controls, and scarcity of longitudinal assessments. Studies involving international collaborations, standardised assessments, and large patient cohorts will overcome these shortcomings and provide further insight into the pathogenesis of ALS.
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Affiliation(s)
- Adriano Chiò
- ALS Center, "Rita Levi Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.
| | - Marco Pagani
- Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche (CNR), Rome, Italy; Department of Nuclear Medicine, Karolinska Hospital, Stockholm, Sweden
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Andrea Calvo
- ALS Center, "Rita Levi Montalcini" Department of Neuroscience, University of Turin, Turin, Italy
| | - Angelina Cistaro
- Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche (CNR), Rome, Italy; Positron Emission Tomography Center IRMET S.p.A, Euromedic Inc, Torino, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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El Mendili MM, Cohen-Adad J, Pelegrini-Issac M, Rossignol S, Morizot-Koutlidis R, Marchand-Pauvert V, Iglesias C, Sangari S, Katz R, Lehericy S, Benali H, Pradat PF. Multi-parametric spinal cord MRI as potential progression marker in amyotrophic lateral sclerosis. PLoS One 2014; 9:e95516. [PMID: 24755826 PMCID: PMC3995720 DOI: 10.1371/journal.pone.0095516] [Citation(s) in RCA: 85] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Accepted: 03/27/2014] [Indexed: 12/11/2022] Open
Abstract
Objective To evaluate multimodal MRI of the spinal cord in predicting disease progression and one-year clinical status in amyotrophic lateral sclerosis (ALS) patients. Materials and Methods After a first MRI (MRI1), 29 ALS patients were clinically followed during 12 months; 14/29 patients underwent a second MRI (MRI2) at 11±3 months. Cross-sectional area (CSA) that has been shown to be a marker of lower motor neuron degeneration was measured in cervical and upper thoracic spinal cord from T2-weighted images. Fractional anisotropy (FA), axial/radial/mean diffusivities (λ⊥, λ//, MD) and magnetization transfer ratio (MTR) were measured within the lateral corticospinal tract in the cervical region. Imaging metrics were compared with clinical scales: Revised ALS Functional Rating Scale (ALSFRS-R) and manual muscle testing (MMT) score. Results At MRI1, CSA correlated significantly (P<0.05) with MMT and arm ALSFRS-R scores. FA correlated significantly with leg ALFSRS-R scores. One year after MRI1, CSA predicted (P<0.01) arm ALSFSR-R subscore and FA predicted (P<0.01) leg ALSFRS-R subscore. From MRI1 to MRI2, significant changes (P<0.01) were detected for CSA and MTR. CSA rate of change (i.e. atrophy) highly correlated (P<0.01) with arm ALSFRS-R and arm MMT subscores rate of change. Conclusion Atrophy and DTI metrics predicted ALS disease progression. Cord atrophy was a better biomarker of disease progression than diffusion and MTR. Our study suggests that multimodal MRI could provide surrogate markers of ALS that may help monitoring the effect of disease-modifying drugs.
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Affiliation(s)
- Mohamed-Mounir El Mendili
- Sorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- CNRS, UMR 7371, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- INSERM, U 1146, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
| | - Julien Cohen-Adad
- Ecole Polytechnique de Montréal, Département de Génie Électrique, Montréal, Québec, Canada
| | - Mélanie Pelegrini-Issac
- Sorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- CNRS, UMR 7371, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- INSERM, U 1146, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
| | - Serge Rossignol
- Université de Montréal, GRSNC, Faculty de Médecine, Montréal, Québec, Canada
| | - Régine Morizot-Koutlidis
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département d’Explorations Fonctionnelles Neurologiques, Paris, Île-de-France, France
| | - Véronique Marchand-Pauvert
- Sorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- CNRS, UMR 7371, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- INSERM, U 1146, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
| | - Caroline Iglesias
- Sorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- CNRS, UMR 7371, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- INSERM, U 1146, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
| | - Sina Sangari
- Sorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- CNRS, UMR 7371, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- INSERM, U 1146, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
| | - Rose Katz
- Sorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- CNRS, UMR 7371, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- INSERM, U 1146, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
| | - Stéphane Lehericy
- Inserm U975, UPMC Univ Paris 6, UMR-S975, CNRS UMR7225, Centre de recherche de l’Institut du Cerveau et de la Moelle épinière – CRICM, Centre de Neuroimagerie de Recherche – CENIR, Paris, Île-de-France, France
- APHP, Groupe Hospitalier Pitié-Salpêtrière, Service de Neuroradiologie, Paris, Île-de-France, France
| | - Habib Benali
- Sorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- CNRS, UMR 7371, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- INSERM, U 1146, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
| | - Pierre-François Pradat
- Sorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- CNRS, UMR 7371, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- INSERM, U 1146, Laboratoire d’Imagerie Biomédicale, Paris, Île-de-France, France
- APHP, Groupe Hospitalier Pitié-Salpêtrière, Département des Maladies du système Nerveux, Paris, Île-de-France, France
- * E-mail:
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