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Lulé DE, Müller HP, Finsel J, Weydt P, Knehr A, Winroth I, Andersen P, Weishaupt J, Uttner I, Kassubek J, Ludolph AC. Deficits in verbal fluency in presymptomatic C9orf72 mutation gene carriers-a developmental disorder. J Neurol Neurosurg Psychiatry 2020; 91:1195-1200. [PMID: 32855285 PMCID: PMC7569387 DOI: 10.1136/jnnp-2020-323671] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 06/19/2020] [Accepted: 06/28/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND A mutation in C9orf72 constitute a cross-link between amyotrophic lateral sclerosis (ALS) and fronto-temporal dementia (FTD). At clinical manifestation, both patient groups may present with either cognitive impairment of predominantly behaviour or language (in FTD) or motor dysfunctions (in ALS). METHODS In total, 36 non-symptomatic mutation carriers from ALS or FTD families were examined, including 21 subjects with C9orf72 and 15 with SOD1 mutations. Data were compared with 91 age-matched, education-matched and gender-matched healthy subjects (56 were first-degree relatives from ALS or FTD families, 35 with no known family history of ALS/FTD). MRI scanning for diffusion tensor imaging was performed to map fractional anisotropy (FA). Subjects performed an extensive neuropsychological assessment to address verbal fluency, language, executive, memory and visuospatial function. Measurements were repeated after 12 months. RESULTS C9orf72 expansion carriers performed significantly worse in verbal fluency and non-verbal memory and presented with distinct alterations in structural white matter integrity indicated by lower FA values in inferior and orbitofrontal cortical areas compared with carriers of SOD1 mutations or healthy subjects. Loss of structural integrity was associated with decreased verbal fluency performance. White matter alterations and cognitive performance showed no changes over 12 months in all subjects. DISCUSSION Reduced verbal fluency performance seems to be a distinct clinical feature of C9orf72 carriers before symptomatic disease onset without evidence for change over time in our cohort. The results support the emerging hypothesis of a general disorder in development in addition to neurodegeneration in C9orf72 carriers.
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Affiliation(s)
- Dorothée E Lulé
- Department of Neurology, Neuropsychology, Ulm University, Ulm, Germany
| | | | - Julia Finsel
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Patrick Weydt
- Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Antje Knehr
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | | | | | - Ingo Uttner
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
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Bede P, Siah WF, McKenna MC, Li Hi Shing S. Consideration of C9orf72-associated ALS-FTD as a neurodevel-opmental disorder: insights from neuroimaging. J Neurol Neurosurg Psychiatry 2020; 91:1138. [PMID: 32855286 DOI: 10.1136/jnnp-2020-324416] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 12/13/2022]
Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Mary Clare McKenna
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
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Chipika RH, Siah WF, McKenna MC, Li Hi Shing S, Hardiman O, Bede P. The presymptomatic phase of amyotrophic lateral sclerosis: are we merely scratching the surface? J Neurol 2020; 268:4607-4629. [PMID: 33130950 DOI: 10.1007/s00415-020-10289-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/18/2020] [Accepted: 10/20/2020] [Indexed: 02/06/2023]
Abstract
Presymptomatic studies in ALS have consistently captured considerable disease burden long before symptom manifestation and contributed important academic insights. With the emergence of genotype-specific therapies, however, there is a pressing need to address practical objectives such as the estimation of age of symptom onset, phenotypic prediction, informing the optimal timing of pharmacological intervention, and identifying a core panel of biomarkers which may detect response to therapy. Existing presymptomatic studies in ALS have adopted striking different study designs, relied on a variety of control groups, used divergent imaging and electrophysiology methods, and focused on different genotypes and demographic groups. We have performed a systematic review of existing presymptomatic studies in ALS to identify common themes, stereotyped shortcomings, and key learning points for future studies. Existing presymptomatic studies in ALS often suffer from sample size limitations, lack of disease controls and rarely follow their cohort until symptom manifestation. As the characterisation of presymptomatic processes in ALS serves a multitude of academic and clinical purposes, the careful review of existing studies offers important lessons for future initiatives.
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Affiliation(s)
- Rangariroyashe H Chipika
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - Mary Clare McKenna
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland.
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Häkkinen S, Chu SA, Lee SE. Neuroimaging in genetic frontotemporal dementia and amyotrophic lateral sclerosis. Neurobiol Dis 2020; 145:105063. [PMID: 32890771 DOI: 10.1016/j.nbd.2020.105063] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/30/2020] [Accepted: 08/26/2020] [Indexed: 02/06/2023] Open
Abstract
Frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) have a strong clinical, genetic and pathological overlap. This review focuses on the current understanding of structural, functional and molecular neuroimaging signatures of genetic FTD and ALS. We overview quantitative neuroimaging studies on the most common genes associated with FTD (MAPT, GRN), ALS (SOD1), and both (C9orf72), and summarize visual observations of images reported in the rarer genes (CHMP2B, TARDBP, FUS, OPTN, VCP, UBQLN2, SQSTM1, TREM2, CHCHD10, TBK1).
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Affiliation(s)
- Suvi Häkkinen
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Stephanie A Chu
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Suzee E Lee
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
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Finegan E, Li Hi Shing S, Siah WF, Chipika RH, Chang KM, McKenna MC, Doherty MA, Hengeveld JC, Vajda A, Donaghy C, Hutchinson S, McLaughlin RL, Hardiman O, Bede P. Evolving diagnostic criteria in primary lateral sclerosis: The clinical and radiological basis of "probable PLS". J Neurol Sci 2020; 417:117052. [PMID: 32731060 DOI: 10.1016/j.jns.2020.117052] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 07/15/2020] [Accepted: 07/17/2020] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Primary lateral sclerosis is a rare neurodegenerative disorder of the upper motor neurons. Diagnostic criteria have changed considerably over the years, and the recent consensus criteria introduced 'probable PLS' for patients with a symptom duration of 2-4 years. The objective of this study is the systematic evaluation of clinical and neuroimaging characteristics in early PLS by studying a group of 'probable PLS patients' in comparison to a cohort of established PLS patients. METHODS In a prospective neuroimaging study, thirty-nine patients were stratified by the new consensus criteria into 'probable' (symptom duration 2-4 years) or 'definite' PLS (symptom duration >4 years). Patients were evaluated with a standardised battery of clinical instruments (ALSFRS-r, Penn upper motor neuron score, the modified Ashworth spasticity scale), whole genome sequencing, and underwent structural and diffusion MRI. The imaging profile of the two PLS cohorts were contrasted to a dataset of 100 healthy controls. All 'probable PLS' patients subsequently fulfilled criteria for 'definite' PLS on longitudinal follow-up and none transitioned to develop ALS. RESULTS PLS patients tested negative for known ALS- or HSP-associated mutations on whole genome sequencing. Despite their shorter symptom duration, 'probable PLS' patients already exhibited considerable functional disability, upper motor neuron disease burden and the majority of them required walking aids for safe ambulation. Their ALSFRS-r, UMN and modified Ashworth score means were 83%, 98% and 85% of the 'definite' group respectively. Motor cortex thickness was significantly reduced in both PLS groups in comparison to controls, but cortical changes were less widespread in 'probable' PLS on morphometric analyses. Corticospinal tract and corpus callosum metrics were relatively well preserved in the 'probable' group in contrast to the widespread white matter degeneration observed in the 'definite' group. CONCLUSIONS Our clinical and radiological analyses support the recent introduction of the 'probable' PLS category, as this cohort already exhibits considerable disability and cerebral changes consistent with established PLS. Before the publication of the new consensus criteria, these patients would have not been diagnosed with PLS on the basis of their symptom duration despite their significant functional impairment and motor cortex atrophy. The introduction of this new category will facilitate earlier recruitment into clinical trials, and shorten the protracted diagnostic uncertainty the majority of PLS patients face.
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Affiliation(s)
- Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland; Electronics and Computer Science, University of Southampton, Southampton, United Kingdom
| | - Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Ireland
| | - Colette Donaghy
- Department of Neurology, Belfast, Western Health & Social Care Trust, UK
| | | | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland.
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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: 2.8] [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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Lorente Pons A, Higginbottom A, Cooper-Knock J, Alrafiah A, Alofi E, Kirby J, Shaw PJ, Wood JD, Highley JR. Oligodendrocyte pathology exceeds axonal pathology in white matter in human amyotrophic lateral sclerosis. J Pathol 2020; 251:262-271. [PMID: 32391572 DOI: 10.1002/path.5455] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 04/11/2020] [Accepted: 04/27/2020] [Indexed: 12/12/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease. The majority of cases are sporadic (sALS), while the most common inherited form is due to C9orf72 mutation (C9ALS). A high burden of inclusion pathology is seen in glia (including oligodendrocytes) in ALS, especially in C9ALS. Myelin basic protein (MBP) messenger RNA (mRNA) must be transported to oligodendrocyte processes for myelination, a possible vulnerability for normal function. TDP43 is found in pathological inclusions in ALS and is a component of mRNA transport granules. Thus, TDP43 aggregation could lead to MBP loss. Additionally, the hexanucleotide expansion of mutant C9ALS binds hnRNPA2/B1, a protein essential for mRNA transport, causing potential further impairment of hnRNPA2/B1 function, and thus myelination. Using immunohistochemistry for p62 and TDP43 in human post-mortem tissue, we found a high burden of glial inclusions in the prefrontal cortex, precentral gyrus, and spinal cord in ALS, which was greater in C9ALS than in sALS cases. Double staining demonstrated that the majority of these inclusions were in oligodendrocytes. Using immunoblotting, we demonstrated reduced MBP protein levels relative to PLP (a myelin component that relies on protein not mRNA transport) and neurofilament protein (an axonal marker) in the spinal cord. This MBP loss was disproportionate to the level of PLP and axonal loss, suggesting that impaired mRNA transport may be partly responsible. Finally, we show that in C9ALS cases, the level of oligodendroglial inclusions correlates inversely with levels of hnRNPA2/B1 and the number of oligodendrocyte precursor cells. We conclude that there is considerable oligodendrocyte pathology in ALS, which at least partially reflects impairment of mRNA transport. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Alejandro Lorente Pons
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,School of Biochemistry, University of Bristol, Bristol, UK
| | - Adrian Higginbottom
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Aziza Alrafiah
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Medical Laboratory Technology Department, Faculty of Applied Medical Sciences, Medical School, King AbdulAziz University, Jeddah, Saudi Arabia
| | - Ebtisam Alofi
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Physiology, Faculty of Medicine, Medical School, King AbdulAziz University, Jeddah, Saudi Arabia
| | - Janine Kirby
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Jonathan D Wood
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - J Robin Highley
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
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Le Blanc G, Jetté Pomerleau V, McCarthy J, Borroni B, Swieten J, Galimberti D, Sanchez‐Valle R, LaForce R, Moreno F, Synofzik M, Graff C, Masellis M, Tartaglia MC, Rowe JB, Vandenberghe R, Finger E, Tagliavini F, Mendonça A, Santana I, Butler C, Gerhard A, Danek A, Levin J, Otto M, Frisoni G, Sorbi S, Rohrer JD, Ducharme S, Almeida MR, Anderl‐Straub S, Andersson C, Antonell A, Arighi A, Balasa M, Barandiaran M, Bargalló N, Bartha R, Bender B, Benussi L, Binetti G, Black S, Bocchetta M, Borrego S, Bras J, Bruffaerts R, Caroppo P, Cash D, Castelo‐Branco M, Convery R, Cope T, Arriba M, Di Fede G, Díaz Z, Dick KM, Duro D, Fenoglio C, Ferreira C, Ferreira CB, Flanagan T, Fox N, Freedman M, Fumagalli G, Gabilondo A, Gauthier S, Ghidoni R, Giaccone G, Gorostidi A, Greaves C, Guerreiro R, Heller C, Hoegen T, Indakoetxea B, Jelic V, Jiskoot L, Karnath H, Keren R, Leitão MJ, Lladó A, Lombardi G, Loosli S, Maruta C, Mead S, Meeter L, Miltenberger G, Minkelen R, Mitchell S, Nacmias B, Neason M, Nicholas J, Öijerstedt L, Olives J, Panman J, Papma J, Patzig M, Pievani M, Pijnenburg Y, Prioni S, Prix C, Rademakers R, Redaelli V, Rittman T, Rogaeva E, Rosa‐Neto P, Rossi G, Rossor M, Santiago B, Scarpini E, Semler E, Shafei R, Shoesmith C, Tábuas‐Pereira M, Tainta M, Tang‐Wai D, Thomas DL, Thonberg H, Timberlake C, Tiraboschi P, Vandamme P, Vandenbulcke M, Veldsman M, Verdelho A, Villanua J, Warren J, Wilke C, Zetterberg H, Zulaica M. Faster Cortical Thinning and Surface Area Loss in Presymptomatic and Symptomatic
C9orf72
Repeat Expansion Adult Carriers. Ann Neurol 2020; 88:113-122. [DOI: 10.1002/ana.25748] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 04/08/2020] [Accepted: 04/10/2020] [Indexed: 12/13/2022]
Affiliation(s)
| | - Vincent Jetté Pomerleau
- Department of Psychiatry McGill University Health Centre, McGill University Montreal Quebec Canada
| | - Jillian McCarthy
- McConnell Brain Imaging Centre Montreal Neurological Institute Montreal Quebec Canada
| | - Barbara Borroni
- Center for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences University of Brescia Brescia Italy
| | - John Swieten
- Department of Neurology, Erasmus Medical Center Rotterdam the Netherlands
| | - Daniela Galimberti
- Department of Pathophysiology and Transplantation, Dino Ferrari Center University of Milan, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico Milan Italy
| | - Raquel Sanchez‐Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi I Sunyer, University of Barcelona Barcelona Spain
| | - Robert LaForce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine Laval University Quebec City Quebec Canada
| | - Fermin Moreno
- Department of Neurology Hospital Universitario Donostia San Sebastian Spain
| | - Matthis Synofzik
- Department of Cognitive Neurology, Center for Neurology and Hertie Institute for Clinical Brain Research Tübingen Germany
| | - Caroline Graff
- Department NVS, Center for Alzheimer Research, Division of Neurogenetics Karolinska Institute Stockholm Sweden
| | - Mario Masellis
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute Toronto Ontario Canada
| | - Maria C. Tartaglia
- Toronto Western Hospital, Tanz Centre for Research in Neurodegenerative Disease Toronto Ontario Canada
| | - James B. Rowe
- Department of Clinical Neurosciences University of Cambridge Cambridge United Kingdom
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences KU Leuven Leuven Belgium
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences University of Western Ontario London Ontario Canada
| | - Fabrizio Tagliavini
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Istituto Neurologico Carlo Besta Milan Italy
| | | | - Isabel Santana
- Neurology Department Centro Hospitalar e Universitário de Coimbra Coimbra Portugal
| | - Chris Butler
- Department of Clinical Neurology University of Oxford Oxford United Kingdom
| | - Alex Gerhard
- Institute of Brain, Behaviour, and Mental Health, University of Manchester, Withington Manchester United Kingdom
| | - Adrian Danek
- Neurologische Klinik und Poliklinik, Ludwig Maximilian University Munich Germany
- German Center for Neurodegenerative Diseases Munich Germany
| | - Johannes Levin
- Department of Neurology University Hospital Ulm Ulm Germany
| | - Markus Otto
- Istituto di Ricovero e Cura a Carattere Scientifico Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
| | - Giovanni Frisoni
- Istituto di Ricovero e Cura a Carattere Scientifico Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
- Memory Clinic and LANVIE‐Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva Geneva Switzerland
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research, and Child Health University of Florence Florence Italy
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Florence Italy
| | - Jonathan D. Rohrer
- Dementia Research Centre University College London Institute of Neurology London United Kingdom
| | - Simon Ducharme
- Department of Psychiatry McGill University Health Centre, McGill University Montreal Quebec Canada
- McConnell Brain Imaging Centre Montreal Neurological Institute Montreal Quebec Canada
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Bede P, Chipika RH. Commissural fiber degeneration in motor neuron diseases. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:321-323. [PMID: 32290711 DOI: 10.1080/21678421.2020.1752253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group (CNG), Trinity Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group (CNG), Trinity Biomedical Sciences Institute, Trinity College Dublin, Ireland
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The French national protocol for Kennedy's disease (SBMA): consensus diagnostic and management recommendations. Orphanet J Rare Dis 2020; 15:90. [PMID: 32276665 PMCID: PMC7149864 DOI: 10.1186/s13023-020-01366-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 03/19/2020] [Indexed: 02/07/2023] Open
Abstract
Background Kennedy’s disease (KD), also known as spinal and bulbar muscular atrophy (SBMA), is a rare, adult-onset, X-linked recessive neuromuscular disease caused by CAG expansions in exon 1 of the androgen receptor gene (AR). The objective of the French national diagnostic and management protocol is to provide evidence-based best practice recommendations and outline an optimised care pathway for patients with KD, based on a systematic literature review and consensus multidisciplinary observations. Results The initial evaluation, confirmation of the diagnosis, and management should ideally take place in a tertiary referral centre for motor neuron diseases, and involve an experienced multidisciplinary team of neurologists, endocrinologists, cardiologists and allied healthcare professionals. The diagnosis should be suspected in an adult male presenting with slowly progressive lower motor neuron symptoms, typically affecting the lower limbs at onset. Bulbar involvement (dysarthria and dysphagia) is often a later manifestation of the disease. Gynecomastia is not a constant feature, but is suggestive of a suspected diagnosis, which is further supported by electromyography showing diffuse motor neuron involvement often with asymptomatic sensory changes. A suspected diagnosis is confirmed by genetic testing. The multidisciplinary assessment should ascertain extra-neurological involvement such as cardiac repolarisation abnormalities (Brugada syndrome), signs of androgen resistance, genitourinary abnormalities, endocrine and metabolic changes (glucose intolerance, hyperlipidemia). In the absence of effective disease modifying therapies, the mainstay of management is symptomatic support using rehabilitation strategies (physiotherapy and speech therapy). Nutritional evaluation by an expert dietician is essential, and enteral nutrition (gastrostomy) may be required. Respiratory management centres on the detection and treatment of bronchial obstructions, as well as screening for aspiration pneumonia (chest physiotherapy, drainage, positioning, breath stacking, mechanical insufflation-exsufflation, cough assist machnie, antibiotics). Non-invasive mechanical ventilation is seldom needed. Symptomatic pharmaceutical therapy includes pain management, endocrine and metabolic interventions. There is no evidence for androgen substitution therapy. Conclusion The French national Kennedy’s disease protocol provides management recommendations for patients with KD. In a low-incidence condition, sharing and integrating regional expertise, multidisciplinary experience and defining consensus best-practice recommendations is particularly important. Well-coordinated collaborative efforts will ultimately pave the way to the development of evidence-based international guidelines.
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Kassubek J, Müller HP. Advanced neuroimaging approaches in amyotrophic lateral sclerosis: refining the clinical diagnosis. Expert Rev Neurother 2020; 20:237-249. [PMID: 31937156 DOI: 10.1080/14737175.2020.1715798] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: In the last decade, multiparametric magnetic resonance imaging (MRI) has achieved tremendous advances in applications to amyotrophic lateral sclerosis (ALS) to increase the understanding of the associated pathophysiology. The aim of this review is to summarize recent progress in the development of MRI-based techniques aiming to support the clinical diagnosis in ALS.Areas covered: The review of structural and functional MRI applications to ALS and its variants (restricted phenotypes) is focused on the potential of MRI techniques which contribute to the diagnostic work-up of patients with the clinical presentation of a motor neuron disease. The potential of specific MRI methods for patient diagnosis and monitoring is discussed, and the future design of clinical MRI applications to ALS is conceptualized.Expert opinion: Current multiparametric MRI allows for the use as a clinical biological marker and a technical instrument in the clinical diagnosis of patients with ALS and also of patients with ALS variants. Composite neuroimaging indices of specific anatomical areas derived from different MRI techniques might guide in the diagnostic applications to ALS. Such a development of ALS-specific MRI-based composite scores with sufficient discriminative power versus ALS mimics at an individual level requires standardized advanced protocols and comprehensive analysis approaches.
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Affiliation(s)
- Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
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62
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Bede P, Pradat PF. Editorial: Biomarkers and Clinical Indicators in Motor Neuron Disease. Front Neurol 2020; 10:1318. [PMID: 31920939 PMCID: PMC6920250 DOI: 10.3389/fneur.2019.01318] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 11/28/2019] [Indexed: 12/18/2022] Open
Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, Pitié-Salpêtrière University Hospital, Paris, France.,Sorbonne University, CNRS, INSERM, Biomedical Imaging Laboratory, Paris, France
| | - Pierre-Francois Pradat
- Department of Neurology, Pitié-Salpêtrière University Hospital, Paris, France.,Sorbonne University, CNRS, INSERM, Biomedical Imaging Laboratory, Paris, France
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63
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Bede P, Chipika RH, Finegan E, Li Hi Shing S, Doherty MA, Hengeveld JC, Vajda A, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O. Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: A longitudinal neuroimaging study. NEUROIMAGE-CLINICAL 2019; 24:102054. [PMID: 31711033 PMCID: PMC6849418 DOI: 10.1016/j.nicl.2019.102054] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 10/10/2019] [Accepted: 10/21/2019] [Indexed: 01/06/2023]
Abstract
Computational neuroimaging captures focal brainstem pathology in motor neuron diseases in contrast to both healthy- and disease controls. ALS patients exhibit progressive medulla oblongata, pontine and mesencephalic volume loss over time. Brainstem atrophy in ALS and PLS is dominated by medulla oblongata volume reductions. Vertex analyses of ALS patients reveal flattening of the medullary pyramids bilaterally. Morphometric analyses in ALS detect density reductions in the mesencephalic crura consistent with corticospinal tract degeneration.
Background Brainstem pathology is a hallmark feature of ALS, yet most imaging studies focus on cortical grey matter alterations and internal capsule white matter pathology. Brainstem imaging in ALS provides a unique opportunity to appraise descending motor tract degeneration and bulbar lower motor neuron involvement. Methods A prospective longitudinal imaging study has been undertaken with 100 patients with ALS, 33 patients with PLS, 30 patients with FTD and 100 healthy controls. Volumetric, vertex and morphometric analyses were conducted correcting for demographic factors to characterise disease-specific patterns of brainstem pathology. Using a Bayesian segmentation algorithm, the brainstem was segmented into the medulla, pons and mesencephalon to measure regional volume reductions, shape analyses were performed to ascertain the atrophy profile of each study group and region-of-interest morphometry was used to evaluate focal density alterations. Results ALS and PLS patients exhibit considerable brainstem atrophy compared to both disease- and healthy controls. Volume reductions in ALS and PLS are dominated by medulla oblongata pathology, but pontine atrophy can also be detected. In ALS, vertex analyses confirm the flattening of the medullary pyramids bilaterally in comparison to healthy controls and widespread pontine shape deformations in contrast to PLS. The ALS cohort exhibit bilateral density reductions in the mesencephalic crura in contrast to healthy controls, central pontine atrophy compared to disease controls, peri-aqueduct mesencephalic and posterior pontine changes in comparison to PLS patients. Conclus ions: Computational brainstem imaging captures the degeneration of both white and grey matter components in ALS. Our longitudinal data indicate progressive brainstem atrophy over time, underlining the biomarker potential of quantitative brainstem measures in ALS. At a time when a multitude of clinical trials are underway worldwide, there is an unprecedented need for accurate biomarkers to monitor disease progression and detect response to therapy. Brainstem imaging is a promising addition to candidate biomarkers of ALS and PLS.
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Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland.
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Siobhan Hutchinson
- Department of Neurology, St James's Hospital, James's St, Ushers, Dublin 8 D08 NHY1, Ireland
| | - Colette Donaghy
- Department of Neurology, Western Health & Social Care Trust, Belfast, UK
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
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Fortanier E, Grapperon AM, Le Troter A, Verschueren A, Ridley B, Guye M, Attarian S, Ranjeva JP, Zaaraoui W. Structural Connectivity Alterations in Amyotrophic Lateral Sclerosis: A Graph Theory Based Imaging Study. Front Neurosci 2019; 13:1044. [PMID: 31632235 PMCID: PMC6783612 DOI: 10.3389/fnins.2019.01044] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 09/17/2019] [Indexed: 12/15/2022] Open
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a relentlessly progressive neurodegenerative disorder. Diffusion magnetic resonance imagining (MRI) studies have consistently showed widespread alterations in both motor and non-motor brain regions. However, connectomics and graph theory based approaches have shown inconsistent results. Hub-centered lesion patterns and their impact on local and large-scale brain networks remain to be established. The objective of this work is to characterize topological properties of structural brain connectivity in ALS using an array of local, global and hub-based network metrics. Materials and Methods Magnetic resonance imagining data were acquired from 25 patients with ALS and 26 age-matched healthy controls. Structural network graphs were constructed from diffusion tensor MRI. Network-based statistics (NBS) and graph theory metrics were used to compare structural networks without a priori regions of interest. Results Patients with ALS exhibited global network alterations with decreased global efficiency (Eglob) (p = 0.03) and a trend of reduced whole brain mean degree (p = 0.05) compared to controls. Six nodes showed significantly decreased mean degree in ALS: left postcentral gyrus, left interparietal and transverse parietal sulcus, left calcarine sulcus, left occipital temporal medial and lingual sulcus, right precentral gyrus and right frontal inferior sulcus (p < 0.01). Hub distribution was comparable between the two groups. There was no selective hub vulnerability or topological reorganization centered on these regions as the hub disruption index (κ) was not significant for the relevant metrics (degree, local efficiency and betweenness centrality). Using NBS, we identified an impaired motor subnetwork of 11 nodes and 10 edges centered on the precentral and the paracentral nodes (p < 0.01). Significant clinical correlations were identified between degree in the frontal area and the disease progression rate of ALS patients (p < 0.01). Conclusion Our study provides evidence that alterations of structural connectivity in ALS are primarily driven by node degree and white matter tract degeneration within an extended network around the precentral and the paracentral areas without hub-centered reorganization.
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Affiliation(s)
- Etienne Fortanier
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Aude-Marie Grapperon
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Arnaud Le Troter
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Annie Verschueren
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Ben Ridley
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Maxime Guye
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital 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, GMGF, Marseille, France
| | - Jean-Philippe Ranjeva
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Wafaa Zaaraoui
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
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Abidi M, de Marco G, Couillandre A, Feron M, Mseddi E, Termoz N, Querin G, Pradat PF, Bede P. Adaptive functional reorganization in amyotrophic lateral sclerosis: coexisting degenerative and compensatory changes. Eur J Neurol 2019; 27:121-128. [PMID: 31310452 DOI: 10.1111/ene.14042] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 07/10/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND PURPOSE Considerable functional reorganization takes place in amyotrophic lateral sclerosis (ALS) in face of relentless structural degeneration. This study evaluates functional adaptation in ALS patients with lower motor neuron predominant (LMNp) and upper motor neuron predominant (UMNp) dysfunction. METHODS Seventeen LMNp ALS patients, 14 UMNp ALS patients and 14 controls participated in a functional magnetic resonance imaging study. Study-group-specific activation patterns were evaluated during preparation for a motor task. Connectivity analyses were carried out using the supplementary motor area (SMA), cerebellum and striatum as seed regions and correlations were explored with clinical measures. RESULTS Increased cerebellar, decreased dorsolateral prefrontal cortex and decreased SMA activation were detected in UMNp patients compared to controls. Increased cerebellar activation was also detected in UMNp patients compared to LMNp patients. UMNp patients exhibit increased effective connectivity between the cerebellum and caudate, and decreased connectivity between the SMA and caudate and between the SMA and cerebellum when performing self-initiated movement. In UMNp patients, a positive correlation was detected between clinical variables and striato-cerebellar connectivity. CONCLUSIONS Our findings indicate that, despite the dysfunction of SMA-striatal and SMA-cerebellar networks, cerebello-striatal connectivity increases in ALS indicative of compensatory processes. The coexistence of circuits with decreased and increased connectivity suggests concomitant neurodegenerative and adaptive changes in ALS.
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Affiliation(s)
- M Abidi
- CeRSM Laboratory, Nanterre University, UPL, Paris, France
| | - G de Marco
- CeRSM Laboratory, Nanterre University, UPL, Paris, France.,COMUE Paris Lumières University, Paris, France
| | - A Couillandre
- CeRSM Laboratory, Nanterre University, UPL, Paris, France.,COMUE Paris Lumières University, Paris, France
| | - M Feron
- CeRSM Laboratory, Nanterre University, UPL, Paris, France
| | - E Mseddi
- CeRSM Laboratory, Nanterre University, UPL, Paris, France
| | - N Termoz
- CeRSM Laboratory, Nanterre University, UPL, Paris, France.,COMUE Paris Lumières University, Paris, France
| | - G Querin
- Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France.,Biomedical Imaging Laboratory, Sorbonne University, Paris, France
| | - P-F Pradat
- Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France.,Biomedical Imaging Laboratory, Sorbonne University, Paris, France
| | - P Bede
- Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France.,Biomedical Imaging Laboratory, Sorbonne University, Paris, France.,Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
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66
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Bede P. The histological correlates of imaging metrics: postmortem validation of in vivo findings. Amyotroph Lateral Scler Frontotemporal Degener 2019; 20:457-460. [PMID: 31293187 DOI: 10.1080/21678421.2019.1639195] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin , Dublin , Ireland
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