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Kleinerova J, Tahedl M, Tan EL, Delaney S, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Chang KM, Finegan E, Bede P. Supra- and infra-tentorial degeneration patterns in primary lateral sclerosis: a multimodal longitudinal neuroradiology study. J Neurol 2024; 271:3239-3255. [PMID: 38438819 PMCID: PMC11136747 DOI: 10.1007/s00415-024-12261-z] [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: 12/21/2023] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 03/06/2024]
Abstract
BACKGROUND Primary lateral sclerosis (PLS) is traditionally solely associated with progressive upper motor neuron dysfunction manifesting in limb spasticity, gait impairment, bulbar symptoms and pseudobulbar affect. Recent studies have described frontotemporal dysfunction in some patients resulting in cognitive manifestations. Cerebellar pathology is much less well characterised despite sporadic reports of cerebellar disease. METHODS A multi-timepoint, longitudinal neuroimaging study was conducted to characterise the evolution of both intra-cerebellar disease burden and cerebro-cerebellar connectivity. The volumes of deep cerebellar nuclei, cerebellar cortical volumes, cerebro-cerebellar structural and functional connectivity were assessed longitudinally in a cohort of 43 individuals with PLS. RESULTS Cerebello-frontal, -temporal, -parietal, -occipital and cerebello-thalamic structural disconnection was detected at baseline based on radial diffusivity (RD) and cerebello-frontal decoupling was also evident based on fractional anisotropy (FA) alterations. Functional connectivity changes were also detected in cerebello-frontal, parietal and occipital projections. Volume reductions were identified in the vermis, anterior lobe, posterior lobe, and crura. Among the deep cerebellar nuclei, the dorsal dentate was atrophic. Longitudinal follow-up did not capture statistically significant progressive changes. Significant primary motor cortex atrophy and inter-hemispheric transcallosal degeneration were also captured. CONCLUSIONS PLS is not only associated with upper motor neuron dysfunction, but cerebellar cortical volume loss and deep cerebellar nuclear atrophy can also be readily detected. In addition to intra-cerebellar disease burden, cerebro-cerebellar connectivity alterations also take place. Our data add to the evolving evidence of widespread neurodegeneration in PLS beyond the primary motor regions. Cerebellar dysfunction in PLS is likely to exacerbate bulbar, gait and dexterity impairment and contribute to pseudobulbar affect.
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Affiliation(s)
- Jana Kleinerova
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Marlene Tahedl
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Siobhan Delaney
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | | | - Mark A Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Orla Hardiman
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland.
- Department of Neurology, St James's Hospital, Dublin, Ireland.
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Imrell S, Fang F, Ingre C, Sennfält S. Increased incidence of motor neuron disease in Sweden: a population-based study during 2002-2021. J Neurol 2024; 271:2730-2735. [PMID: 38386047 PMCID: PMC11055737 DOI: 10.1007/s00415-024-12219-1] [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: 12/01/2023] [Revised: 01/17/2024] [Accepted: 01/20/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND Motor neuron diseases (MND), with amyotrophic lateral sclerosis constituting most cases, are rare conditions of unknown etiology. There have been reports of an increase in incidence during the latter half of the twentieth century in various Western countries, including Sweden. This study provides updated data on the incidence of MND in Sweden during the last 20 years. METHODS Data was obtained from the Swedish National Patient Register on individuals diagnosed with MND from 2002 to 2021 and analysed in relation to group level data for the entire Swedish population. Incidence rates were calculated and presented in relation to year, age, sex, and region. RESULTS In the early 2000s, there was a crude incidence rate of 3.5-3.7 per 100,000 person-years, which then increased to 4.0-4.6 from 2008 onward. Age standardization to the starting year (2002) partially mitigated this increase. The incidence rate was greater among men compared to women and was highest within the age range of 70 to 84 years. There were indications of a higher incidence rate in the northernmost parts of the country, although the difference was not statistically significant. CONCLUSIONS The incidence rate of MND in Sweden now seems to have surpassed 4 cases per 100,000 person-years. This is higher when compared to both other European countries and previous Swedish studies. It remains to be determined if this increase reflects an actual increasing incidence of MND in Sweden or is due to other factors such as better registry coverage.
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Affiliation(s)
- Sofia Imrell
- Department of Neurology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
| | - Fang Fang
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Caroline Ingre
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Stefan Sennfält
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
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3
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de Boer EMJ, Demaegd KC, de Bie CI, Veldink JH, van den Berg LH, van Es MA. Familial motor neuron disease: co-occurrence of PLS and ALS (-FTD). Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:53-60. [PMID: 37679883 DOI: 10.1080/21678421.2023.2255621] [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: 07/05/2023] [Accepted: 09/01/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVE To report the frequency and characteristics of patients diagnosed with primary lateral sclerosis (PLS) with a positive family history for motor neuron diseases (MND) in the Netherlands and to compare our findings to the literature. METHODS Patients were identified through our ongoing, prospective population-based study on MND in The Netherlands, which also includes a standardized collection of patient characteristics, genetic testing, and family history. Only patients meeting the latest consensus criteria for definite PLS were included. The family history was considered positive for MND if any family members had been diagnosed with PLS, amyotrophic lateral sclerosis (ALS)(-FTD), or progressive muscular atrophy (PMA). Additionally, the literature was reviewed on PLS cases in which MND co-occurred within the same family. RESULTS We identified 392 definite PLS cases, resulting in 9 families with a PLS patient and a positive family history for MND (2.3%). In only one of these pedigrees, a pathogenic variant (C9orf72 repeat expansion) was found. Our literature review revealed 23 families with a co-occurrence of PLS and MND, with 12 of them having a potentially pathogenic genetic variant. CONCLUSIONS The consistent observation of PLS patients with a positive family history for MND, evident in both our study and the literature, implies the presence of shared underlying genetic factors between PLS and ALS. However, these factors are yet to be elucidated.
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Affiliation(s)
- Eva M J de Boer
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands and
| | - Koen C Demaegd
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands and
| | - Charlotte I de Bie
- Department of Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands and
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands and
| | - Michael A van Es
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands and
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Vacchiano V, Bonan L, Liguori R, Rizzo G. Primary Lateral Sclerosis: An Overview. J Clin Med 2024; 13:578. [PMID: 38276084 PMCID: PMC10816328 DOI: 10.3390/jcm13020578] [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: 12/12/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
Primary lateral sclerosis (PLS) is a rare neurodegenerative disorder which causes the selective deterioration of the upper motor neurons (UMNs), sparing the lower motor neuron (LMN) system. The clinical course is defined by a progressive motor disability due to muscle spasticity which typically involves lower extremities and bulbar muscles. Although classically considered a sporadic disease, some familiar cases and possible causative genes have been reported. Despite it having been recognized as a rare but distinct entity, whether it actually represents an extreme end of the motor neuron diseases continuum is still an open issue. The main knowledge gap is the lack of specific biomarkers to improve the clinical diagnostic accuracy. Indeed, the diagnostic imprecision, together with some uncertainty about overlap with UMN-predominant ALS and Hereditary Spastic Paraplegia (HSP), has become an obstacle to the development of specific therapeutic trials. In this study, we provided a comprehensive analysis of the existing literature, including neuropathological, clinical, neuroimaging, and neurophysiological features of the disease, and highlighting the controversies still unsolved in the differential diagnoses and the current diagnostic criteria. We also discussed the current knowledge gaps still present in both diagnostic and therapeutic fields when approaching this rare condition.
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Affiliation(s)
- Veria Vacchiano
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, 40139 Bologna, Italy; (V.V.); (R.L.)
| | - Luigi Bonan
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy;
| | - Rocco Liguori
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, 40139 Bologna, Italy; (V.V.); (R.L.)
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy;
| | - Giovanni Rizzo
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, 40139 Bologna, Italy; (V.V.); (R.L.)
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Tan EL, Tahedl M, Lope J, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Chang KM, Finegan E, Bede P. Language deficits in primary lateral sclerosis: cortical atrophy, white matter degeneration and functional disconnection between cerebral regions. J Neurol 2024; 271:431-445. [PMID: 37759084 DOI: 10.1007/s00415-023-11994-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Primary lateral sclerosis (PLS) is traditionally regarded as a pure upper motor neuron disorder, but recent cases series have highlighted cognitive deficits in executive and language domains. METHODS A single-centre, prospective neuroimaging study was conducted with comprehensive clinical and genetic profiling. The structural and functional integrity of language-associated brain regions and networks were systematically evaluated in 40 patients with PLS in comparison to 111 healthy controls. The structural integrity of the arcuate fascicle, frontal aslant tract, inferior occipito-frontal fascicle, inferior longitudinal fascicle, superior longitudinal fascicle and uncinate fascicle was evaluated. Functional connectivity between the supplementary motor region and the inferior frontal gyrus and connectivity between Wernicke's and Broca's areas was also assessed. RESULTS Cortical thickness reductions were observed in both Wernicke's and Broca's areas. Fractional anisotropy reduction was noted in the aslant tract and increased radical diffusivity (RD) identified in the aslant tract, arcuate fascicle and superior longitudinal fascicle in the left hemisphere. Functional connectivity was reduced along the aslant track, i.e. between the supplementary motor region and the inferior frontal gyrus, but unaffected between Wernicke's and Broca's areas. Cortical thickness alterations, structural and functional connectivity changes were also noted in the right hemisphere. CONCLUSIONS Disease-burden in PLS is not confined to motor regions, but there is also a marked involvement of language-associated tracts, networks and cortical regions. Given the considerably longer survival in PLS compared to ALS, the impact of language impairment on the management of PLS needs to be carefully considered.
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Affiliation(s)
- Ee Ling Tan
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Marlene Tahedl
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Jasmin Lope
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | | | - Mark A Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Orla Hardiman
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Kai Ming Chang
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Eoin Finegan
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland.
- Department of Neurology, St James's Hospital, Dublin, Ireland.
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Bede P, Lulé D, Müller HP, Tan EL, Dorst J, Ludolph AC, Kassubek J. Presymptomatic grey matter alterations in ALS kindreds: a computational neuroimaging study of asymptomatic C9orf72 and SOD1 mutation carriers. J Neurol 2023; 270:4235-4247. [PMID: 37178170 PMCID: PMC10421803 DOI: 10.1007/s00415-023-11764-5] [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: 03/16/2023] [Revised: 05/02/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND The characterisation of presymptomatic disease-burden patterns in asymptomatic mutation carriers has a dual academic and clinical relevance. The understanding of disease propagation mechanisms is of considerable conceptual interests, and defining the optimal time of pharmacological intervention is essential for improved clinical trial outcomes. METHODS In a prospective, multimodal neuroimaging study, 22 asymptomatic C9orf72 GGGGCC hexanucleotide repeat carriers, 13 asymptomatic subjects with SOD1, and 54 "gene-negative" ALS kindreds were enrolled. Cortical and subcortical grey matter alterations were systematically appraised using volumetric, morphometric, vertex, and cortical thickness analyses. Using a Bayesian approach, the thalamus and amygdala were further parcellated into specific nuclei and the hippocampus was segmented into anatomically defined subfields. RESULTS Asymptomatic GGGGCC hexanucleotide repeat carriers in C9orf72 exhibited early subcortical changes with the preferential involvement of the pulvinar and mediodorsal regions of the thalamus, as well as the lateral aspect of the hippocampus. Volumetric approaches, morphometric methods, and vertex analyses were anatomically consistent in capturing focal subcortical changes in asymptomatic C9orf72 hexanucleotide repeat expansion carriers. SOD1 mutation carriers did not exhibit significant subcortical grey matter alterations. In our study, none of the two asymptomatic cohorts exhibited cortical grey matter alterations on either cortical thickness or morphometric analyses. DISCUSSION The presymptomatic radiological signature of C9orf72 is associated with selective thalamic and focal hippocampal degeneration which may be readily detectable before cortical grey matter changes ensue. Our findings confirm selective subcortical grey matter involvement early in the course of C9orf72-associated neurodegeneration.
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Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, D02 RS90, Ireland.
- Department of Neurology, St James's Hospital, Dublin, Ireland.
| | - Dorothée Lulé
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, D02 RS90, Ireland
| | - Johannes Dorst
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, University of Ulm, Ulm, Germany
- German Centre of Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
- German Centre of Neurodegenerative Diseases (DZNE), Ulm, Germany
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7
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Schito P, Russo T, Domi T, Mandelli A, Pozzi L, Del Carro U, Carrera P, Agosta F, Quattrini A, Furlan R, Filippi M, Riva N. Clinical Features and Biomarkers to Differentiate Primary and Amyotrophic Lateral Sclerosis in Patients With an Upper Motor Neuron Syndrome. Neurology 2023; 101:352-356. [PMID: 36927885 PMCID: PMC10449441 DOI: 10.1212/wnl.0000000000207223] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/09/2023] [Indexed: 03/18/2023] Open
Abstract
OBJECTIVES Differentiation between primary (PLS) and amyotrophic lateral sclerosis (ALS) entails relevant consequences for prognosis and management but is mostly unreliable at early stages. The objectives of the study are (1) to determine the features at onset that could help to differentiate between PLS and ALS, (2) to evaluate the diagnostic performance of an integrated serum biomarker panel, and (3) to identify the prognostic factors for patients presenting with upper motor neuron (UMN) syndrome. METHODS We selected and retrospectively analyzed the clinical data of patients presenting with UMN syndrome. At the first evaluation, when available, serum biomarkers were measured using ultrasensitive single molecule array. RESULTS The study population included 55 patients with PLS and 50 patients with ALS. Patients with PLS presented a longer time to first neurologic evaluation (PLS: 35.0 months, interquartile range [IQR] 17.0-38.0 months; ALS: 12.5 months, IQR 7.0-21.3 months; p < 0.01) and lower levels of neurofilament light chain (NfL) (PLS: 81.8 pg/mL, IQR 38.4-111.1 pg/mL; ALS: 155.9 pg/mL, IQR 85.1-366.4 pg/mL; p = 0.01). Two patients with PLS and 3 patients with ALS carried the C9orf72 expansion. NfL resulted an independent predictor of final diagnosis (odds ratio 1.01, 95% CI 1.00-1.02; p = 0.04) and an independent prognostic factor (hazard ratio 1.01, 95% CI 1.00-1.01; p < 0.01). DISCUSSION NfL might help to differentiate patients with PLS from patients with ALS and to predict prognosis in patients with UMN syndrome.
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Affiliation(s)
- Paride Schito
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Tommaso Russo
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Teuta Domi
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Alessandra Mandelli
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Laura Pozzi
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Ubaldo Del Carro
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Paola Carrera
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Federica Agosta
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Angelo Quattrini
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Roberto Furlan
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Massimo Filippi
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Nilo Riva
- From the Experimental Neuropathology Unit (P.S., T.R., T.D., L.P., A.Q., N.R.), Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute; Neurology Unit (P.S., T.R., M.F.), Neurophysiology Unit (P.S., U.D.C., M.F.), and Neurorehabilitation Unit (P.S., M.F.), IRCCS San Raffaele Scientific Institute; Clinical Neuroimmunology Unit (A.M., R.F.), Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute; Division of Genetics and Cell Biology (P.C.), Unit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele; Neuroimaging Research Unit (F.A., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (F.A., M.F.); and 3rd Neurology Unit and Motor Neuron Disease Centre (N.R.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
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8
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Tahedl M, Tan EL, Siah WF, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Finegan E, Bede P. Radiological correlates of pseudobulbar affect: Corticobulbar and cerebellar components in primary lateral sclerosis. J Neurol Sci 2023; 451:120726. [PMID: 37421883 DOI: 10.1016/j.jns.2023.120726] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/02/2023] [Accepted: 06/28/2023] [Indexed: 07/10/2023]
Abstract
INTRODUCTION Pseudobulbar affect (PBA) is a distressing symptom of a multitude of neurological conditions affecting patients with a rage of neuroinflammatory, neurovascular and neurodegenerative conditions. It manifests in disproportionate emotional responses to minimal or no contextual stimulus. It has considerable quality of life implications and treatment can be challenging. METHODS A prospective multimodal neuroimaging study was conducted to explore the neuroanatomical underpinnings of PBA in patients with primary lateral sclerosis (PLS). All participants underwent whole genome sequencing and screening for C9orf72 hexanucleotide repeat expansions, a comprehensive neurological assessment, neuropsychological screening (ECAS, HADS, FrSBe) and PBA was evaluated by the emotional lability questionnaire. Structural, diffusivity and functional MRI data were systematically evaluated in whole-brain (WB) data-driven and region of interest (ROI) hypothesis-driven analyses. In ROI analyses, functional and structural corticobulbar connectivity and cerebello-medullary connectivity alterations were evaluated separately. RESULTS Our data-driven whole-brain analyses revealed associations between PBA and white matter degeneration in descending corticobulbar as well as in commissural tracts. In our hypothesis-driven analyses, PBA was associated with increased right corticobulbar tract RD (p = 0.006) and decreased FA (p = 0.026). The left-hemispheric corticobulbar tract, as well as functional connectivity, showed similar tendencies. While uncorrected p-maps revealed both voxelwise and ROI trends for associations between PBA and cerebellar measures, these did not reach significance to unequivocally support the "cerebellar hypothesis". CONCLUSIONS Our data confirm associations between cortex-brainstem disconnection and the clinical severity of PBA. While our findings may be disease-specific, they are consistent with the classical cortico-medullary model of pseudobulbar affect.
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Affiliation(s)
- Marlene Tahedl
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | | | - Mark A Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Orla Hardiman
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland; Department of Neurology, St James's Hospital, Dublin, Ireland.
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9
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de Boer EMJ, de Vries BS, Pennings M, Kamsteeg EJ, Veldink JH, van den Berg LH, van Es MA. Genetic characterization of primary lateral sclerosis. J Neurol 2023:10.1007/s00415-023-11746-7. [PMID: 37133535 DOI: 10.1007/s00415-023-11746-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/05/2023] [Accepted: 04/25/2023] [Indexed: 05/04/2023]
Abstract
BACKGROUND AND OBJECTIVES Primary lateral sclerosis (PLS) is a motor neuron disease characterised by loss of the upper motor neurons. Most patients present with slowly progressive spasticity of the legs, which may also spread to the arms or bulbar regions. It is challenging to distinguish between PLS, early-stage amyotrophic lateral sclerosis (ALS) and hereditary spastic paraplegia (HSP). The current diagnostic criteria advise against extensive genetic testing. This recommendation is, however, based on limited data. METHODS We aim to genetically characterize a PLS cohort using whole exome sequencing (WES) for genes associated with ALS, HSP, ataxia and movement disorders (364 genes) and C9orf72 repeat expansions. Patients fulfilling the definite PLS criteria by Turner et al. and with available DNA samples of sufficient quality were recruited from an on-going, population-based epidemiological study. Genetic variants were classified according to the ACMG criteria and assigned to groups based on disease association. RESULTS WES was performed in 139 patients and the presence of repeat expansions in C9orf72 was analysed separately in 129 patients. This resulted in 31 variants of which 11 were (likely) pathogenic. (Likely) pathogenic variants resulted in 3 groups based on disease association: ALS-FTD (C9orf72, TBK1), pure HSP (SPAST, SPG7), "ALS-HSP-CMT overlap" (FIG4, NEFL, SPG11). DISCUSSION In a cohort of 139 PLS patients, genetic analyses resulted in 31 variants (22%) of which 10 (7%) (likely) pathogenic associated with different diseases (predominantly ALS and HSP). Based on these results and the literature, we advise to consider genetic analyses in the diagnostic work-up for PLS.
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Affiliation(s)
- Eva M J de Boer
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Balint S de Vries
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maartje Pennings
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Erik-Jan Kamsteeg
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Michael A van Es
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
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10
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Leighton DJ, Ansari M, Newton J, Parry D, Cleary E, Colville S, Stephenson L, Larraz J, Johnson M, Beswick E, Wong M, Gregory J, Carod Artal J, Davenport R, Duncan C, Morrison I, Smith C, Swingler R, Deary IJ, Porteous M, Aitman TJ, Chandran S, Gorrie GH, Pal S. Genotype-phenotype characterisation of long survivors with motor neuron disease in Scotland. J Neurol 2023; 270:1702-1712. [PMID: 36515702 PMCID: PMC9971124 DOI: 10.1007/s00415-022-11505-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/25/2022] [Accepted: 11/27/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND We investigated the phenotypes and genotypes of a cohort of 'long-surviving' individuals with motor neuron disease (MND) to identify potential targets for prognostication. METHODS Patients were recruited via the Clinical Audit Research and Evaluation for MND (CARE-MND) platform, which hosts the Scottish MND Register. Long survival was defined as > 8 years from diagnosis. 11 phenotypic variables were analysed. Whole genome sequencing (WGS) was performed and variants within 49 MND-associated genes examined. Each individual was screened for C9orf72 repeat expansions. Data from ancestry-matched Scottish populations (the Lothian Birth Cohorts) were used as controls. RESULTS 58 long survivors were identified. Median survival from diagnosis was 15.5 years. Long survivors were significantly younger at onset and diagnosis than incident patients and had a significantly longer diagnostic delay. 42% had the MND subtype of primary lateral sclerosis (PLS). WGS was performed in 46 individuals: 14 (30.4%) had a potentially pathogenic variant. 4 carried the known SOD1 p.(Ile114Thr) variant. Significant variants in FIG4, hnRNPA2B1, SETX, SQSTM1, TAF15, and VAPB were detected. 2 individuals had a variant in the SPAST gene suggesting phenotypic overlap with hereditary spastic paraplegia (HSP). No long survivors had pathogenic C9orf72 repeat expansions. CONCLUSIONS Long survivors are characterised by younger age at onset, increased prevalence of PLS and longer diagnostic delay. Genetic analysis in this cohort has improved our understanding of the phenotypes associated with the SOD1 variant p.(Ile114Thr). Our findings confirm that pathogenic expansion of C9orf72 is likely a poor prognostic marker. Genetic screening using targeted MND and/or HSP panels should be considered in those with long survival, or early-onset slowly progressive disease, to improve diagnostic accuracy and aid prognostication.
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Affiliation(s)
- Danielle J Leighton
- School of Psychology & Neuroscience, University of Glasgow, Glasgow, UK.
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK.
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK.
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
- Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, UK.
| | - Morad Ansari
- South East Scotland Genetics Service, Western General Hospital, Edinburgh, UK
| | - Judith Newton
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - David Parry
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Elaine Cleary
- South East Scotland Genetics Service, Western General Hospital, Edinburgh, UK
| | - Shuna Colville
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Laura Stephenson
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
| | - Juan Larraz
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
| | - Micheala Johnson
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
| | - Emily Beswick
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
| | - Michael Wong
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
| | - Jenna Gregory
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | | | - Richard Davenport
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
| | - Callum Duncan
- Department of Neurology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Ian Morrison
- Department of Neurology, NHS Tayside, Dundee, UK
| | - Colin Smith
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Robert Swingler
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Lothian Birth Cohorts Group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Mary Porteous
- South East Scotland Genetics Service, Western General Hospital, Edinburgh, UK
| | - Timothy J Aitman
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Siddharthan Chandran
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - George H Gorrie
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, UK
| | - Suvankar Pal
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development. Int J Mol Sci 2023; 24:ijms24031911. [PMID: 36768231 PMCID: PMC9915541 DOI: 10.3390/ijms24031911] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/11/2023] [Accepted: 01/16/2023] [Indexed: 01/21/2023] Open
Abstract
Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis. Alterations of diffusion metrics are indicative of the cerebral status of patients with amyotrophic lateral sclerosis (ALS) at the individual level. Using machine learning (ML) models to analyze complex and high-dimensional neuroimaging data sets, new opportunities for DTI-based biomarkers in ALS arise. This review aims to summarize how different ML models based on DTI parameters can be used for supervised diagnostic classifications and to provide individualized patient stratification with unsupervised approaches in ALS. To capture the whole spectrum of neuropathological signatures, DTI might be combined with additional modalities, such as structural T1w 3-D MRI in ML models. To further improve the power of ML in ALS and enable the application of deep learning models, standardized DTI protocols and multi-center collaborations are needed to validate multimodal DTI biomarkers. The application of ML models to multiparametric MRI/multimodal DTI-based data sets will enable a detailed assessment of neuropathological signatures in patients with ALS and the development of novel neuroimaging biomarkers that could be used in the clinical workup.
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12
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Chipika RH, Mulkerrin G, Pradat PF, Murad A, Ango F, Raoul C, Bede P. Cerebellar pathology in motor neuron disease: neuroplasticity and neurodegeneration. Neural Regen Res 2022; 17:2335-2341. [PMID: 35535867 PMCID: PMC9120698 DOI: 10.4103/1673-5374.336139] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Amyotrophic lateral sclerosis is a relentlessly progressive multi-system condition. The clinical picture is dominated by upper and lower motor neuron degeneration, but extra-motor pathology is increasingly recognized, including cerebellar pathology. Post-mortem and neuroimaging studies primarily focus on the characterization of supratentorial disease, despite emerging evidence of cerebellar degeneration in amyotrophic lateral sclerosis. Cardinal clinical features of amyotrophic lateral sclerosis, such as dysarthria, dysphagia, cognitive and behavioral deficits, saccade abnormalities, gait impairment, respiratory weakness and pseudobulbar affect are likely to be exacerbated by co-existing cerebellar pathology. This review summarizes in vivo and post mortem evidence for cerebellar degeneration in amyotrophic lateral sclerosis. Structural imaging studies consistently capture cerebellar grey matter volume reductions, diffusivity studies readily detect both intra-cerebellar and cerebellar peduncle white matter alterations and functional imaging studies commonly report increased functional connectivity with supratentorial regions. Increased functional connectivity is commonly interpreted as evidence of neuroplasticity representing compensatory processes despite the lack of post-mortem validation. There is a scarcity of post-mortem studies focusing on cerebellar alterations, but these detect pTDP-43 in cerebellar nuclei. Cerebellar pathology is an overlooked facet of neurodegeneration in amyotrophic lateral sclerosis despite its contribution to a multitude of clinical symptoms, widespread connectivity to spinal and supratentorial regions and putative role in compensating for the degeneration of primary motor regions.
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Affiliation(s)
- Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Grainne Mulkerrin
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | | | - Aizuri Murad
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Fabrice Ango
- The Neuroscience Institute of Montpellier (INM), INSERM, CNRS, Montpellier, France
| | - Cédric Raoul
- The Neuroscience Institute of Montpellier (INM), INSERM, CNRS, Montpellier, France
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland; Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France
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13
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McKenna MC, Tahedl M, Lope J, Chipika RH, Li Hi Shing S, Doherty MA, Hengeveld JC, Vajda A, McLaughlin RL, Hardiman O, Hutchinson S, Bede P. Mapping cortical disease-burden at individual-level in frontotemporal dementia: implications for clinical care and pharmacological trials. Brain Imaging Behav 2022; 16:1196-1207. [PMID: 34882275 PMCID: PMC9107414 DOI: 10.1007/s11682-021-00523-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2021] [Indexed: 01/25/2023]
Abstract
Imaging studies of FTD typically present group-level statistics between large cohorts of genetically, molecularly or clinically stratified patients. Group-level statistics are indispensable to appraise unifying radiological traits and describe genotype-associated signatures in academic studies. However, in a clinical setting, the primary objective is the meaningful interpretation of imaging data from individual patients to assist diagnostic classification, inform prognosis, and enable the assessment of progressive changes compared to baseline scans. In an attempt to address the pragmatic demands of clinical imaging, a prospective computational neuroimaging study was undertaken in a cohort of patients across the spectrum of FTD phenotypes. Cortical changes were evaluated in a dual pipeline, using standard cortical thickness analyses and an individualised, z-score based approach to characterise subject-level disease burden. Phenotype-specific patterns of cortical atrophy were readily detected with both methodological approaches. Consistent with their clinical profiles, patients with bvFTD exhibited orbitofrontal, cingulate and dorsolateral prefrontal atrophy. Patients with ALS-FTD displayed precentral gyrus involvement, nfvPPA patients showed widespread cortical degeneration including insular and opercular regions and patients with svPPA exhibited relatively focal anterior temporal lobe atrophy. Cortical atrophy patterns were reliably detected in single individuals, and these maps were consistent with the clinical categorisation. Our preliminary data indicate that standard T1-weighted structural data from single patients may be utilised to generate maps of cortical atrophy. While the computational interpretation of single scans is challenging, it offers unrivalled insights compared to visual inspection. The quantitative evaluation of individual MRI data may aid diagnostic classification, clinical decision making, and assessing longitudinal changes.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Marlene Tahedl
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
- Institute for Psychology, University of Regensburg, Regensburg, Germany
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
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14
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Münch M, Müller HP, Behler A, Ludolph AC, Kassubek J. Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients. Neuroimage Clin 2022; 35:103061. [PMID: 35653913 PMCID: PMC9163839 DOI: 10.1016/j.nicl.2022.103061] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 05/15/2022] [Accepted: 05/26/2022] [Indexed: 10/29/2022]
Abstract
INTRODUCTION Within the core neuroimaging signature of amyotrophic lateral sclerosis (ALS), the corpus callosum (CC) is increasingly recognized as a consistent feature. The aim of this study was to investigate the sensitivity and specificity of the microstructural segmental CC morphology, assessed by diffusion tensor imaging (DTI) and high-resolution T1-weighted (T1w) imaging, in a large cohort of ALS patients including different clinical phenotypes. METHODS In a single-centre study, 575 patients with ALS (classical phenotype, N = 432; restricted phenotypes primary lateral sclerosis (PLS) N = 55, flail arm syndrome (FAS) N = 45, progressive bulbar palsy (PBP) N = 22, lower motor neuron disease (LMND) N = 21) and 112 healthy controls underwent multiparametric MRI, i.e. volume-rendering T1w scans and DTI. Tract-based fractional anisotropy statistics (TFAS) was applied to callosal tracts of CC areas I-V, identified from DTI data (tract-of-interest (TOI) analysis), and texture analysis was applied to T1w data. In order to further specify the callosal alterations, a support vector machine (SVM) algorithm was used to discriminate between motor neuron disease patients and controls. RESULTS The analysis of white matter integrity revealed predominantly FA reductions for tracts of the callosal areas I, II, and III (with highest reductions in callosal area III) for all ALS patients and separately for each phenotype when compared to controls; texture analysis demonstrated significant alterations of the parameters entropy and homogeneity for ALS patients and all phenotypes for the CC areas I, II, and III (with again highest reductions in callosal area III) compared to controls. With SVM applied on multiparametric callosal parameters of area III, a separation of all ALS patients including phenotypes from controls with 72% sensitivity and 73% specificity was achieved. These results for callosal area III parameters could be improved by an SVM of six multiparametric callosal parameters of areas I, II, and III, achieving a separation of all ALS patients including phenotypes from controls with 84% sensitivity and 85% specificity. DISCUSSION The multiparametric MRI texture and DTI analysis demonstrated substantial alterations of the frontal and central CC with most significant alterations in callosal area III (motor segment) in ALS and separately in all investigated phenotypes (PLS, FAS, PBP, LMND) in comparison to controls, while no significant differences were observed between ALS and its phenotypes. The combination of the texture and the DTI parameters in an unbiased SVM-based approach might contribute as a neuroimaging marker for the assessment of the CC in ALS, including subtypes.
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Affiliation(s)
| | | | - Anna Behler
- Department of Neurology, University of Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, University of Ulm, Germany; German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Germany; German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany.
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15
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Scarian E, Fiamingo G, Diamanti L, Palmieri I, Gagliardi S, Pansarasa O. The Role of VCP Mutations in the Spectrum of Amyotrophic Lateral Sclerosis-Frontotemporal Dementia. Front Neurol 2022; 13:841394. [PMID: 35273561 PMCID: PMC8902152 DOI: 10.3389/fneur.2022.841394] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/28/2022] [Indexed: 01/02/2023] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD) are two neurological diseases which, respectively, and primarily affect motor neurons and frontotemporal lobes. Although they can lead to different signs and symptoms, it is now evident that these two pathologies form a continuum and that hallmarks of both diseases can be present within the same person in the so-called ALS-FTD spectrum. Many studies have focused on the genetic overlap of these pathologies and it is now clear that different genes, such as C9orf72, TARDBP, SQSTM1, FUS, and p97/VCP can be mutated in both the diseases. VCP was one of the first genes associated with both FTD and ALS representing an early example of gene overlapping. VCP belongs to the type II AAA (ATPases Associated with diverse cellular activities) family and is involved in ubiquitinated proteins degradation, autophagy, lysosomal clearance and mitochondrial quality control. Since its numerous roles, mutations in this gene lead to different pathological features, first and foremost TDP-43 mislocalization. This review aims to outline recent findings on VCP roles and on how its mutations are linked to the neuropathology of ALS and FTD.
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Affiliation(s)
- Eveljn Scarian
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Cellular Models and Neuroepigenetics Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Giuseppe Fiamingo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Luca Diamanti
- Neuroncology Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Ilaria Palmieri
- Department of Molecular Medicine, University of Pavia, Pavia, Italy.,Neurogenetics Research Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Stella Gagliardi
- Molecular Biology and Transcriptomics Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Orietta Pansarasa
- Cellular Models and Neuroepigenetics Unit, IRCCS Mondino Foundation, Pavia, Italy
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16
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Li Hi Shing S, Bede P. The neuroradiology of upper motor neuron degeneration: PLS, HSP, ALS. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:1-3. [PMID: 34894929 DOI: 10.1080/21678421.2021.1951293] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Stacey Li Hi Shing
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
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17
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Kocar TD, Müller HP, Ludolph AC, Kassubek J. Feature selection from magnetic resonance imaging data in ALS: a systematic review. Ther Adv Chronic Dis 2021; 12:20406223211051002. [PMID: 34729157 PMCID: PMC8521429 DOI: 10.1177/20406223211051002] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/15/2021] [Indexed: 12/23/2022] Open
Abstract
Background: With the advances in neuroimaging in amyotrophic lateral sclerosis (ALS), it has been speculated that multiparametric magnetic resonance imaging (MRI) is capable to contribute to early diagnosis. Machine learning (ML) can be regarded as the missing piece that allows for the useful integration of multiparametric MRI data into a diagnostic classifier. The major challenges in developing ML classifiers for ALS are limited data quantity and a suboptimal sample to feature ratio which can be addressed by sound feature selection. Methods: We conducted a systematic review to collect MRI biomarkers that could be used as features by searching the online database PubMed for entries in the recent 4 years that contained cross-sectional neuroimaging data of subjects with ALS and an adequate control group. In addition to the qualitative synthesis, a semi-quantitative analysis was conducted for each MRI modality that indicated which brain regions were most commonly reported. Results: Our search resulted in 151 studies with a total of 221 datasets. In summary, our findings highly resembled generally accepted neuropathological patterns of ALS, with degeneration of the motor cortex and the corticospinal tract, but also in frontal, temporal, and subcortical structures, consistent with the neuropathological four-stage model of the propagation of pTDP-43 in ALS. Conclusions: These insights are discussed with respect to their potential for MRI feature selection for future ML-based neuroimaging classifiers in ALS. The integration of multiparametric MRI including DTI, volumetric, and texture data using ML may be the best approach to generate a diagnostic neuroimaging tool for ALS.
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Affiliation(s)
- Thomas D Kocar
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Albert C Ludolph
- Department of Neurology, University of Ulm, Ulm, Germany Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Oberer Eselsberg 45, 89081 Ulm, Germany
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18
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Electromyographic findings in primary lateral sclerosis during disease progression. Clin Neurophysiol 2021; 132:2996-3001. [PMID: 34715424 DOI: 10.1016/j.clinph.2021.08.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 08/05/2021] [Accepted: 08/29/2021] [Indexed: 01/28/2023]
Abstract
OBJECTIVE To characterize electromyographic (EMG) findings in patients with primary lateral sclerosis (PLS) during the disease course. METHODS In PLS patients we scored spontaneous activity and motor unit action potential (MUP) pattern on EMG. We compared patients according to lower (group A) and higher (group B) EMG scores. EMG studies were repeated at intervals longer than 11 months; two or three repeat studies were required for inclusion in the analysis. RESULTS We studied 22 patients. Fasciculation potentials were found in 13 and fibrillations/positive sharp waves (fibs/sw) in 3 patients. Both were stable over time. Most patients had MUP abnormalities (n = 17), with worsening in the lower limbs in patients with three evaluations (p = 0.010). Compared to group A (n = 12), patients of group B (n = 10) had a significant shorter disease duration (median 10.9 vs 15.2 years, p < 0.001), lower functional score at both first (39 vs 45, p = 0.034) and last (29 vs 38, p = 0.003) evaluations, and had a faster functional decline (0.19 vs 0.08, p = 0.004). CONCLUSIONS Most PLS patients showed minor and stable EMG abnormalities, without progression to ALS. Patients with more EMG abnormalities have a faster progression. SIGNIFICANCE EMG abnormalities in most PLS patients are minor and stable.
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19
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Bublitz SK, Weck C, Egger-Rainer A, Lex K, Paal P, Lorenzl S. Palliative Care Challenges of Patients With Progressive Bulbar Palsy: A Retrospective Case Series of 14 Patients. Front Neurol 2021; 12:700103. [PMID: 34630279 PMCID: PMC8497697 DOI: 10.3389/fneur.2021.700103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 08/25/2021] [Indexed: 01/13/2023] Open
Abstract
Progressive bulbar palsy (PBP) is a form of motoneuron disease and is widely classified as a subtype of amyotrophic lateral sclerosis (ALS) with a shorter time of survival and female predominance. In this retrospective case series of 14 patients with PBP, we focus on challenges in palliative care for this patient cohort, including symptom control, gastrostomy, non-invasive ventilation, and end-of-life phase. We show that rapid physical decline at the end of life is associated with bronchopulmonary infection and excessive oral secretion leading to a high level of symptom burden. Early and regular advance care planning discussions with a focus on oral secretion management with patients and caregivers are crucial.
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Affiliation(s)
- Sarah K Bublitz
- Palliative Care Research Hub at the Institute of Nursing Science and Practice, Paracelsus Medical University, Salzburg, Austria.,Department of Neurology, Agatharied Hospital, Hausham, Germany
| | - Christiane Weck
- Palliative Care Research Hub at the Institute of Nursing Science and Practice, Paracelsus Medical University, Salzburg, Austria.,Department of Neurology, Agatharied Hospital, Hausham, Germany
| | - Andrea Egger-Rainer
- Palliative Care Research Hub at the Institute of Nursing Science and Practice, Paracelsus Medical University, Salzburg, Austria
| | - Katharina Lex
- Palliative Care Research Hub at the Institute of Nursing Science and Practice, Paracelsus Medical University, Salzburg, Austria
| | - Piret Paal
- Palliative Care Research Hub at the Institute of Nursing Science and Practice, Paracelsus Medical University, Salzburg, Austria
| | - Stefan Lorenzl
- Palliative Care Research Hub at the Institute of Nursing Science and Practice, Paracelsus Medical University, Salzburg, Austria.,Department of Neurology, Agatharied Hospital, Hausham, Germany
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20
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Tahedl M, Li Hi Shing S, Finegan E, Chipika RH, Lope J, Hardiman O, Bede P. Propagation patterns in motor neuron diseases: Individual and phenotype-associated disease-burden trajectories across the UMN-LMN spectrum of MNDs. Neurobiol Aging 2021; 109:78-87. [PMID: 34656922 DOI: 10.1016/j.neurobiolaging.2021.04.031] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/29/2021] [Accepted: 04/13/2021] [Indexed: 01/18/2023]
Abstract
Motor neuron diseases encompass a divergent group of conditions with considerable differences in clinical manifestations, survival, and genetic vulnerability. One of the key aspects of clinical heterogeneity is the preferential involvement of upper (UMN) and lower motor neurons (LMN). While longitudinal imaging patters are relatively well characterized in ALS, progressive cortical changes in UMN,- and LMN-predominant conditions are seldom evaluated. Accordingly, the objective of this study is the juxtaposition of longitudinal trajectories in 3 motor neuron phenotypes; a UMN-predominant syndrome (PLS), a mixed UMN-LMN condition (ALS), and a lower motor neuron condition (poliomyelitis survivors). A standardized imaging protocol was implemented in a prospective, multi-timepoint longitudinal study with a uniform follow-up interval of 4 months. Forty-five poliomyelitis survivors, 61 patients with amyotrophic lateral sclerosis (ALS), and 23 patients with primary lateral sclerosis (PLS) were included. Cortical thickness alterations were evaluated in a dual analysis pipeline, using standard cortical thickness analyses, and a z-score-based individualized approach. Our results indicate that PLS patients exhibit rapidly progressive cortical thinning primarily in motor regions; ALS patients show cortical atrophy in both motor and extra-motor regions, while poliomyelitis survivors exhibit cortical thickness gains in a number of cerebral regions. Our findings suggest that dynamic cortical changes in motor neuron diseases may depend on relative UMN and/or LMN involvement, and increased cortical thickness in LMN-predominant conditions may represent compensatory, adaptive processes.
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Affiliation(s)
- Marlene Tahedl
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland; Department of Psychiatry and Psychotherapy and Institute for Psychology, University of Regensburg, 93053 Regensburg, Germany
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, 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; Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France.
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21
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Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features. J Neurol 2021; 269:2440-2452. [PMID: 34585269 PMCID: PMC9021106 DOI: 10.1007/s00415-021-10801-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 09/07/2021] [Accepted: 09/09/2021] [Indexed: 12/26/2022]
Abstract
The description of group-level, genotype- and phenotype-associated imaging traits is academically important, but the practical demands of clinical neurology centre on the accurate classification of individual patients into clinically relevant diagnostic, prognostic and phenotypic categories. Similarly, pharmaceutical trials require the precision stratification of participants based on quantitative measures. A single-centre study was conducted with a uniform imaging protocol to test the accuracy of an artificial neural network classification scheme on a cohort of 378 participants composed of patients with ALS, healthy subjects and disease controls. A comprehensive panel of cerebral volumetric measures, cortical indices and white matter integrity values were systematically retrieved from each participant and fed into a multilayer perceptron model. Data were partitioned into training and testing and receiver-operating characteristic curves were generated for the three study-groups. Area under the curve values were 0.930 for patients with ALS, 0.958 for disease controls, and 0.931 for healthy controls relying on all input imaging variables. The ranking of variables by classification importance revealed that white matter metrics were far more relevant than grey matter indices to classify single subjects. The model was further tested in a subset of patients scanned within 6 weeks of their diagnosis and an AUC of 0.915 was achieved. Our study indicates that individual subjects may be accurately categorised into diagnostic groups in an observer-independent classification framework based on multiparametric, spatially registered radiology data. The development and validation of viable computational models to interpret single imaging datasets are urgently required for a variety of clinical and clinical trial applications.
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22
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Imaging data indicate cerebral reorganisation in poliomyelitis survivors: Possible compensation for longstanding lower motor neuron pathology. Data Brief 2021; 38:107316. [PMID: 34485646 PMCID: PMC8397913 DOI: 10.1016/j.dib.2021.107316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 08/16/2021] [Accepted: 08/19/2021] [Indexed: 12/14/2022] Open
Abstract
A standardised, single-centre cross-sectional imaging protocol was utilised to investigate cortical grey matter and cerebral white matter alterations in 36 poliomyelitis survivors in contrast to healthy individuals and patients with amyotrophic lateral sclerosis (ALS) as a 'disease-control' group. [1] T1-weighted imaging and 32-direction diffusion tensor imaging data were obtained on a 3 Tesla Philips Achieva MRI system, using an IR-SPGR sequence and SE-EPI sequence respectively. Raw region-of-interest data and percentage change with respect to reference estimated marginal mean values are presented for grey and white matter metrics in key anatomical regions. Poliomyelitis survivors exhibit no frank grey or white matter degeneration. To the contrary, increased partial volumes can be detected in the brainstem, cerebellum and occipital lobes compared to healthy individuals. Higher fractional anisotropy was also noted in the corticospinal tracts, cerebellum, bilateral mesial temporal lobes and inferior frontal brain regions in poliomyelitis survivors in contrast to controls. Anatomical patterns of superior integrity metrics in polio survivors were concordant with anatomical regions of focal degeneration in ALS. Our imaging data indicate cortical and white matter reorganisation in polio survivors, which may be interpreted as compensatory adaptation to severe lower motor neuron injury acquired in infancy.
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23
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Canna A, Trojsi F, Di Nardo F, Caiazzo G, Tedeschi G, Cirillo M, Esposito F. Combining structural and metabolic markers in a quantitative MRI study of motor neuron diseases. Ann Clin Transl Neurol 2021; 8:1774-1785. [PMID: 34342169 PMCID: PMC8419394 DOI: 10.1002/acn3.51418] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/13/2021] [Accepted: 06/18/2021] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To assess the performance of a combination of three quantitative MRI markers (iron deposition, basal neuronal metabolism, and regional atrophy) for differential diagnosis between amyotrophic lateral sclerosis (ALS) and primary lateral sclerosis (PLS). METHODS In total, 33 ALS, 12 PLS, and 28 healthy control (HC) subjects underwent a 3T MRI study including single- and multi-echo sequences for gray matter (GM) volumetry and quantitative susceptibility mapping (QSM) and a pseudo-continuous arterial spin labeling (ASL) sequence for cerebral blood flow (CBF) measurement. Mean values of QSM, CBF, and GM volumes were extracted in the motor cortex, basal ganglia, thalamus, amygdala, and hippocampus. A generalized linear model was applied to the three measures to binary discriminate between groups. The diagnostic performances were evaluated via receiver operating characteristic analyses. RESULTS A significant discrimination was obtained: between ALS and HCs in the left and right motor cortex, where QSM increases were respectively associated with disability scores and disease duration; between PLS and ALS in the left motor cortex, where PLS patients resulted significantly more atrophic; between ALS and HC in the right motor cortex, where GM volumes were associated with upper motor neuron scores. Significant discrimination between ALS and HC was achieved in subcortical structures only combining all three parameters. INTERPRETATION While increased QSM values in the motor cortex of ALS patients is a consolidated finding, combining QSM, CBF, and GM volumetry shows higher diagnostic potential for differentiating ALS patients from HC subjects and, in the motor cortex, between ALS and PLS.
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Affiliation(s)
- Antonietta Canna
- Department of Advanced Medical and Surgical SciencesUniversity of Campania "Luigi Vanvitelli”NaplesItaly
| | - Francesca Trojsi
- Department of Advanced Medical and Surgical SciencesUniversity of Campania "Luigi Vanvitelli”NaplesItaly
| | - Federica Di Nardo
- Department of Advanced Medical and Surgical SciencesUniversity of Campania "Luigi Vanvitelli”NaplesItaly
| | - Giuseppina Caiazzo
- Department of Advanced Medical and Surgical SciencesUniversity of Campania "Luigi Vanvitelli”NaplesItaly
| | - Gioacchino Tedeschi
- Department of Advanced Medical and Surgical SciencesUniversity of Campania "Luigi Vanvitelli”NaplesItaly
| | - Mario Cirillo
- Department of Advanced Medical and Surgical SciencesUniversity of Campania "Luigi Vanvitelli”NaplesItaly
| | - Fabrizio Esposito
- Department of Advanced Medical and Surgical SciencesUniversity of Campania "Luigi Vanvitelli”NaplesItaly
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24
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Barohn RJ, Fink JK, Heiman-Patterson T, Huey ED, Murphy J, Statland JM, Turner MR, Elman L. The clinical spectrum of primary lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2021; 21:3-10. [PMID: 33602013 DOI: 10.1080/21678421.2020.1837178] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Primary lateral sclerosis is a distinct entity that has recently been classified as a "restricted phenotype" of ALS. It is characterized by a pattern of isolated upper motor neuron involvement that often begins in the legs and spreads diffusely. Distinction from other conditions requires careful consideration of clinical presentation and time course of disease. Mills' Syndrome is a rare unilateral variant of primary lateral sclerosis. Cognitive and behavioral involvement may occur.
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Affiliation(s)
- Richard J Barohn
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA
| | - John K Fink
- Department of Neurology, Ann Arbor Veterans Affairs Medical Center, University of Michigan, Ann Arbor, MI, USA
| | - Terry Heiman-Patterson
- Department of Neurology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA
| | - Edward D Huey
- College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jennifer Murphy
- Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Jeffrey M Statland
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Martin R Turner
- Nuffield Department of Neurosciences, University of Oxford, Oxford, UK
| | - Lauren Elman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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25
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Bede P, Siah WF. The diagnostic challenge of primary lateral sclerosis: the integration of clinical, genetic and radiological cues. Eur J Neurol 2021; 28:3875-3876. [PMID: 34339556 DOI: 10.1111/ene.15049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 07/30/2021] [Indexed: 11/30/2022]
Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland.,Salpêtrière University Hospital, Sorbonne University, Paris, France
| | - We Fong Siah
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
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26
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Tahedl M, Murad A, Lope J, Hardiman O, Bede P. Evaluation and categorisation of individual patients based on white matter profiles: Single-patient diffusion data interpretation in neurodegeneration. J Neurol Sci 2021; 428:117584. [PMID: 34315000 DOI: 10.1016/j.jns.2021.117584] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 07/13/2021] [Accepted: 07/19/2021] [Indexed: 12/18/2022]
Abstract
The majority of radiology studies in neurodegenerative conditions infer group-level imaging traits from group comparisons. While this strategy is helpful to define phenotype-specific imaging signatures for academic use, the meaningful interpretation of single scans of individual subjects is more important in everyday clinical practice. Accordingly, we present a computational method to evaluate individual subject diffusion tensor data to highlight white matter integrity alterations. Fifty white matter tracts were quantitatively evaluated in 132 patients with amyotrophic lateral sclerosis (ALS) with respect to normative values from 100 healthy subjects. Fractional anisotropy and radial diffusivity alterations were assessed individually in each patient. The approach was validated against standard tract-based spatial statistics and further scrutinised by the assessment of 78 additional data sets with a blinded diagnosis. Our z-score-based approach readily detected white matter degeneration in individual ALS patients and helped to categorise single subjects with a 'blinded diagnosis' as likely 'ALS' or 'control'. The group-level inferences from the z-score-based approach were analogous to the standard TBSS output maps. The benefit of the z-score-based strategy is that it enables the interpretation of single DTI datasets as well as the comparison of study groups. Outputs can be summarised either visually by highlighting the affected tracts, or, listing the affected tracts in a text file with reference to normative data, making it particularly useful for clinical applications. While individual diffusion data cannot be visually appraised, our approach provides a viable framework for single-subject imaging data interpretation.
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Affiliation(s)
- Marlene Tahedl
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland; Department of Psychiatry and Psychotherapy, Institute for Psychology, University of Regensburg, Germany
| | - Aizuri Murad
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland; Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France.
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27
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Longinetti E, Sveinsson O, Press R, Ye W, Ingre C, Piehl F, Fang F. ALS patients with concurrent neuroinflammatory disorders; a nationwide clinical records study. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:209-219. [PMID: 34852680 DOI: 10.1080/21678421.2021.1946084] [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] [Indexed: 10/20/2022]
Abstract
Objective:To determine if inflammation in proximity of the motor unit may contribute to neurodegeneration in amyotrophic lateral sclerosis (ALS). Methods: We identified all patients diagnosed in Sweden with concurrent ALS and multiple sclerosis (MS), myasthenia gravis (MG), inflammatory polyneuropathies (IP), or dermatopolymyositis (DMPM) during 1991-2014 according to the Swedish Patient Register (N = 263). We validated medical records for 92% of these patients (18 records were not retrieved and three did not contain enough information) and compared patients with a confirmed overlap (N = 28) with an independent sample of patients with solely ALS (N = 271). Results: Ninety-one patients were deemed as not having ALS (34.6%). Among the remaining 151 with validated ALS, 12 had also a confirmed MS diagnosis, nine a confirmed MG diagnosis, four a confirmed IP diagnosis, and three a confirmed DMPM diagnosis. Seventeen of the patients were women and 11 were men. Seventy-nine percent of the patients with a confirmed overlap had MS, MG, IP, or DMPM diagnosed prior to ALS. Compared to patients with only ALS, the concurrent patients were significantly older at symptoms onset, had higher prevalence of bulbar onset, but used Riluzole and noninvasive ventilation less frequently. Conclusions: We found that a high concurrence of ALS and MS/MG/IP/DMPM diagnoses is largely due to diagnostic uncertainty. A minority of patients had a true concurrence, where MS, MG, IP, and DMPM preceded the ALS diagnosis, which might be due to chance alone. Four patients were diagnosed with MG shortly after onset of ALS, suggesting that neurodegeneration might trigger autoimmunity.
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Affiliation(s)
- Elisa Longinetti
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Olafur Sveinsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Rayomand Press
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Ingre
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Fang Fang
- Fang Fang, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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28
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Bede P, Pradat PF, Lope J, Vourc'h P, Blasco H, Corcia P. Primary Lateral Sclerosis: Clinical, radiological and molecular features. Rev Neurol (Paris) 2021; 178:196-205. [PMID: 34243936 DOI: 10.1016/j.neurol.2021.04.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/23/2021] [Accepted: 04/29/2021] [Indexed: 10/20/2022]
Abstract
Primary Lateral Sclerosis (PLS) is an uncommon motor neuron disorder. Despite the well-recognisable constellation of clinical manifestations, the initial diagnosis can be challenging and therapeutic options are currently limited. There have been no recent clinical trials of disease-modifying therapies dedicated to this patient cohort and awareness of recent research developments is limited. The recent consensus diagnostic criteria introduced the category 'probable' PLS which is likely to curtail the diagnostic journey of patients. Extra-motor clinical manifestations are increasingly recognised, challenging the view of PLS as a 'pure' upper motor neuron condition. The post mortem literature of PLS has been expanded by seminal TDP-43 reports and recent PLS studies increasingly avail of meticulous genetic profiling. Research in PLS has gained unprecedented momentum in recent years generating novel academic insights, which may have important clinical ramifications.
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Affiliation(s)
- P Bede
- Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France; Computational Neuroimaging Group, Trinity College Dublin, Ireland.
| | - P-F Pradat
- Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France
| | - J Lope
- Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - P Vourc'h
- Department of Biochemistry and Molecular Biology, CHRU Bretonneau, Tours, France; UMR 1253 iBrain, Université de Tours, Inserm, France
| | - H Blasco
- Department of Biochemistry and Molecular Biology, CHRU Bretonneau, Tours, France; UMR 1253 iBrain, Université de Tours, Inserm, France
| | - P Corcia
- UMR 1253 iBrain, Université de Tours, Inserm, France; ALS and MND centre (FILSLAN), University of Tours, "iBrain", inserm, France
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29
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Lipidomics study of plasma from patients suggest that ALS and PLS are part of a continuum of motor neuron disorders. Sci Rep 2021; 11:13562. [PMID: 34193885 PMCID: PMC8245424 DOI: 10.1038/s41598-021-92112-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 12/14/2020] [Indexed: 12/04/2022] Open
Abstract
Motor neuron disorders (MND) include a group of pathologies that affect upper and/or lower motor neurons. Among them, amyotrophic lateral sclerosis (ALS) is characterized by progressive muscle weakness, with fatal outcomes only in a few years after diagnosis. On the other hand, primary lateral sclerosis (PLS), a more benign form of MND that only affects upper motor neurons, results in life-long progressive motor dysfunction. Although the outcomes are quite different, ALS and PLS present with similar symptoms at disease onset, to the degree that both disorders could be considered part of a continuum. These similarities and the lack of reliable biomarkers often result in delays in accurate diagnosis and/or treatment. In the nervous system, lipids exert a wide variety of functions, including roles in cell structure, synaptic transmission, and multiple metabolic processes. Thus, the study of the absolute and relative concentrations of a subset of lipids in human pathology can shed light into these cellular processes and unravel alterations in one or more pathways. In here, we report the lipid composition of longitudinal plasma samples from ALS and PLS patients initially, and after 2 years following enrollment in a clinical study. Our analysis revealed common aspects of these pathologies suggesting that, from the lipidomics point of view, PLS and ALS behave as part of a continuum of motor neuron disorders.
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McKenna MC, Chipika RH, Li Hi Shing S, Christidi F, Lope J, Doherty MA, Hengeveld JC, Vajda A, McLaughlin RL, Hardiman O, Hutchinson S, Bede P. Infratentorial pathology in frontotemporal dementia: cerebellar grey and white matter alterations in FTD phenotypes. J Neurol 2021; 268:4687-4697. [PMID: 33983551 PMCID: PMC8563547 DOI: 10.1007/s00415-021-10575-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/19/2021] [Accepted: 04/19/2021] [Indexed: 12/16/2022]
Abstract
The contribution of cerebellar pathology to cognitive and behavioural manifestations is increasingly recognised, but the cerebellar profiles of FTD phenotypes are relatively poorly characterised. A prospective, single-centre imaging study has been undertaken with a high-resolution structural and diffusion tensor protocol to systematically evaluate cerebellar grey and white matter alterations in behavioural-variant FTD(bvFTD), non-fluent variant primary progressive aphasia(nfvPPA), semantic-variant primary progressive aphasia(svPPA), C9orf72-positive ALS-FTD(C9 + ALSFTD) and C9orf72-negative ALS-FTD(C9-ALSFTD). Cerebellar cortical thickness and complementary morphometric analyses were carried out to appraise atrophy patterns controlling for demographic variables. White matter integrity was assessed in a study-specific white matter skeleton, evaluating three diffusivity metrics: fractional anisotropy (FA), axial diffusivity (AD) and radial diffusivity (RD). Significant cortical thickness reductions were identified in: lobule VII and crus I in bvFTD; lobule VI VII, crus I and II in nfvPPA; and lobule VII, crus I and II in svPPA; lobule IV, VI, VII and Crus I and II in C9 + ALSFTD. Morphometry revealed volume reductions in lobule V in all groups; in addition to lobule VIII in C9 + ALSFTD; lobule VI, VIII and vermis in C9-ALSFTD; lobule V, VII and vermis in bvFTD; and lobule V, VI, VIII and vermis in nfvPPA. Widespread white matter alterations were demonstrated by significant fractional anisotropy, axial diffusivity and radial diffusivity changes in each FTD phenotype that were more focal in those with C9 + ALSFTD and svPPA. Our findings indicate that FTD subtypes are associated with phenotype-specific cerebellar signatures with the selective involvement of specific lobules instead of global cerebellar atrophy.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Foteini Christidi
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland. .,Department of Neurology, St James's Hospital, Dublin, Ireland.
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Couratier P, Lautrette G, Luna JA, Corcia P. Phenotypic variability in amyotrophic lateral sclerosis. Rev Neurol (Paris) 2021; 177:536-543. [PMID: 33902945 DOI: 10.1016/j.neurol.2021.03.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/14/2021] [Accepted: 03/16/2021] [Indexed: 10/21/2022]
Abstract
Clinically, ALS phenotypes depend on the areas of the body that are affected, the different degrees of involvement of upper and lower motor neurons, the degrees of involvement of other systems, particularly cognition and behavior, and rates of progression. Phenotypic variability of ALS is characteristic and can be declined on the distribution of motor manifestations but also on the presence of extra-motor signs present in a variable manner in ALS patients. Neuropathologically, ALS is defined by the loss of UMN and LMN and the presence of two representative motor neuronal cytoplasmic inclusions, Bunina bodies and 43kDa Transactivation Response DNA Binding Protein (TDP-43) - positive cytoplasmic inclusions. The distribution of cytopathology and neuronal loss in patients is variable and this variability is directly related to phenotypic variability. Key regulators of phenotypic variability in ALS have not been determined. The functional decrement of TDP-43, and region-specific neuronal susceptibility to ALS, may be involved. Due to the selective vulnerability among different neuronal systems, lesions are multicentric, region-oriented, and progress at different rates. They may vary from patient to patient, which may be linked to the clinicopathological variability across patients.
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Affiliation(s)
- P Couratier
- Service de neurologie, centre de référence maladies rares SLA et autres maladies du neurone moteur, CHU de Limoges, Limoges, France; Inserm, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, université de Limoges, CHU de Limoges, Limoges, France; Fédération des Centres SLA de Limoges et Tours, Litorals, Limoges, France.
| | - G Lautrette
- Service de neurologie, centre de référence maladies rares SLA et autres maladies du neurone moteur, CHU de Limoges, Limoges, France; Fédération des Centres SLA de Limoges et Tours, Litorals, Limoges, France
| | - J A Luna
- Inserm, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, université de Limoges, CHU de Limoges, Limoges, France
| | - P Corcia
- Fédération des Centres SLA de Limoges et Tours, Litorals, Limoges, France; Centre de référence maladies rares SLA et autres maladies du neurone moteur, CHU Bretonneau, Tours, France
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Extra-motor manifestations in post-polio syndrome (PPS): fatigue, cognitive symptoms and radiological features. Neurol Sci 2021; 42:4569-4581. [PMID: 33635429 DOI: 10.1007/s10072-021-05130-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/20/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND There is a paucity of cerebral neuroimaging studies in post-polio syndrome (PPS), despite the severity of neurological and neuropsychological sequelae associated with the condition. Fatigue, poor concentration, limited exercise tolerance, paraesthesia and progressive weakness are frequently reported, but the radiological underpinnings of these symptoms are poorly characterised. OBJECTIVE The aim of this study is to evaluate cortical and subcortical alterations in a cohort of adult polio survivors to explore the anatomical substrate of extra-motor manifestations. METHODS Thirty-six patients with post-polio syndrome, a disease-control group with amyotrophic lateral sclerosis patients and a cohort of healthy individuals were included in a prospective neuroimaging study with a standardised clinical and radiological protocol. Validated clinical instruments were utilised to assess mood, cognitive and behavioural domains and specific aspects of fatigue. Cortical thickness analyses, subcortical volumetry, brainstem segmentation and region-of-interest (ROI) white matter analyses were undertaken to assess regional grey and white matter alterations. RESULTS A high proportion of PPS patients exhibited apathy, verbal fluency deficits and reported self-perceived fatigue. On ROI analyses, cortical atrophy was limited to the cingulate gyrus, and the temporal pole and subcortical atrophy were only detected in the left nucleus accumbens. No FA reductions were noted to indicate white matter degeneration in any of the lobes. CONCLUSIONS Despite the high incidence of extra-motor manifestations in PPS, only limited cortical, subcortical and white matter degeneration was identified. Our findings suggest that non-structural causes, such as polypharmacy and poor sleep, may contribute to the complex symptomatology of post-polio syndrome.
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Extra-motor cerebral changes and manifestations in primary lateral sclerosis. Brain Imaging Behav 2021; 15:2283-2296. [PMID: 33409820 DOI: 10.1007/s11682-020-00421-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/12/2020] [Indexed: 12/22/2022]
Abstract
Primary lateral sclerosis (PLS) is classically considered a 'pure' upper motor neuron disorder. Motor cortex atrophy and pyramidal tract degeneration are thought to be pathognomonic of PLS, but extra-motor cerebral changes are poorly characterized. In a prospective neuroimaging study, forty PLS patients were systematically evaluated with a standardised imaging, genetic and clinical protocol. Patients were screened for ALS and HSP associated mutations, as well as C9orf72 hexanucleotide repeats. Clinical assessment included composite reflex scores, spasticity scales, functional rating scales, and screening for cognitive and behavioural deficits. The neuroimaging protocol evaluated cortical atrophy patterns, subcortical grey matter changes and white matter alterations in whole-brain and region-of-interest analyses. PLS patients tested negative for known ALS- and HSP-associated mutations and C9orf72 repeat expansions. Voxel-wise analyses revealed anterior cingulate, dorsolateral prefrontal, insular, opercular, orbitofrontal and bilateral mesial temporal grey matter changes and white matter alterations in the fornix, brainstem, temporal lobes, and cerebellum. Significant thalamus, caudate, hippocampus, putamen and accumbens nucleus volume reductions were also identified. Extra-motor clinical manifestations were dominated by verbal fluency deficits, language deficits, apathy and pseudobulbar affect. Our clinical and radiological evaluation confirms considerable extra-motor changes in a population-based cohort of PLS patients. Our data suggest that PLS should no longer be considered a neurodegenerative disorder selectively affecting the pyramidal system. PLS is associated with widespread extra-motor changes and manifestations which should be carefully considered in the multidisciplinary management of this low-incidence condition.
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Cortical progression patterns in individual ALS patients across multiple timepoints: a mosaic-based approach for clinical use. J Neurol 2021; 268:1913-1926. [PMID: 33399966 DOI: 10.1007/s00415-020-10368-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 12/09/2020] [Accepted: 12/10/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION The majority of imaging studies in ALS infer group-level imaging signatures from group comparisons, as opposed to estimating disease burden in individual patients. In a condition with considerable clinical heterogeneity, the characterisation of individual patterns of pathology is hugely relevant. In this study, we evaluate a strategy to track progressive cortical involvement in single patients by using subject-specific reference cohorts. METHODS We have interrogated a multi-timepoint longitudinal dataset of 61 ALS patients to demonstrate the utility of estimating cortical disease burden and the expansion of cerebral atrophy over time. We contrast our strategy to the gold-standard approach to gauge the advantages and drawbacks of our method. We modelled the evolution of cortical integrity in a conditional growth model, in which we accounted for age, gender, disability, symptom duration, education and handedness. We hypothesised that the variance associated with demographic variables will be successfully eliminated in our approach. RESULTS In our model, the only covariate which modulated the expansion of atrophy was motor disability as measured by the ALSFRS-r (t(153) = - 2.533, p = 0.0123). Using the standard approach, age also significantly influenced progression of CT change (t(153) = - 2.151, p = 0.033) demonstrating the validity and potential clinical utility of our approach. CONCLUSION Our strategy of estimating the extent of cortical atrophy in individual patients with ALS successfully corrects for demographic factors and captures relevant cortical changes associated with clinical disability. Our approach provides a framework to interpret single T1-weighted images in ALS and offers an opportunity to track cortical propagation patterns both at individual subject level and at cohort level.
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Li Hi Shing S, McKenna MC, Siah WF, Chipika RH, Hardiman O, Bede P. The imaging signature of C9orf72 hexanucleotide repeat expansions: implications for clinical trials and therapy development. Brain Imaging Behav 2021; 15:2693-2719. [PMID: 33398779 DOI: 10.1007/s11682-020-00429-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2020] [Indexed: 01/14/2023]
Abstract
While C9orf72-specific imaging signatures have been proposed by both ALS and FTD research groups and considerable presymptomatic alterations have also been confirmed in young mutation carriers, considerable inconsistencies exist in the literature. Accordingly, a systematic review of C9orf72-imaging studies has been performed to identify consensus findings, stereotyped shortcomings, and unique contributions to outline future directions. A formal literature review was conducted according to the STROBE guidelines. All identified papers were individually reviewed for sample size, choice of controls, study design, imaging modalities, statistical models, clinical profiling, and identified genotype-associated pathological patterns. A total of 74 imaging papers were systematically reviewed. ALS patients with GGGGCC repeat expansions exhibit relatively limited motor cortex involvement and widespread extra-motor pathology. C9orf72 positive FTD patients often show preferential posterior involvement. Reports of thalamic involvement are relatively consistent across the various phenotypes. Asymptomatic hexanucleotide repeat carriers often exhibit structural and functional changes decades prior to symptom onset. Common shortcomings included sample size limitations, lack of disease-controls, limited clinical profiling, lack of genetic testing in healthy controls, and absence of post mortem validation. There is a striking paucity of longitudinal studies and existing presymptomatic studies have not evaluated the predictive value of radiological changes with regard to age of onset and phenoconversion. With the advent of antisense oligonucleotide therapies, the meticulous characterisation of C9orf72-associated changes has gained practical relevance. Neuroimaging offers non-invasive biomarkers for future clinical trials, presymptomatic ascertainment, diagnostic and prognostic applications.
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Affiliation(s)
- Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
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Pioro EP, Turner MR, Bede P. Neuroimaging in primary lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:18-27. [PMID: 33602015 DOI: 10.1080/21678421.2020.1837176] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 10/08/2020] [Accepted: 10/09/2020] [Indexed: 12/15/2022]
Abstract
Increased interest in the underlying pathogenesis of primary lateral sclerosis (PLS) and its relationship to amyotrophic lateral sclerosis (ALS) has corresponded to a growing number of CNS imaging studies, especially in the past decade. Both its rarity and uncertainty of definite diagnosis prior to 4 years from symptom onset have resulted in PLS being less studied than ALS. In this review, we highlight most relevant papers applying magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), and positron emission tomography (PET) to analyzing CNS changes in PLS, often in relation to ALS. In patients with PLS, mostly brain, but also spinal cord has been evaluated since significant neurodegeneration is essentially restricted to upper motor neuron (UMN) structures and related pathways. Abnormalities of cortex and subcortical white matter tracts have been identified by structural and functional MRI and MRS studies, while metabolic and cell-specific changes in PLS brain have been revealed using various PET radiotracers. Future neuroimaging studies will continue to explore the interface between the PLS-ALS continuum, identify more changes unique to PLS, apply novel MRI and MRS sequences showing greater structural and neurochemical detail, as well as expand the repertoire of PET radiotracers that reveal various cellular pathologies. Neuroimaging has the potential to play an important role in the evaluation of novel therapies for patients with PLS.
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Affiliation(s)
- Erik P Pioro
- Section of ALS & Related Disorders, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
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Ozdinler PH, Gautam M, Gozutok O, Konrad C, Manfredi G, Gomez EA, Mitsumoto H, Erb ML, Tian Z, Haase G. Better understanding the neurobiology of primary lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:35-46. [PMID: 33602014 PMCID: PMC8016556 DOI: 10.1080/21678421.2020.1837175] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 08/10/2020] [Accepted: 08/23/2020] [Indexed: 12/19/2022]
Abstract
Primary lateral sclerosis (PLS) is a rare neurodegenerative disease characterized by progressive degeneration of upper motor neurons (UMNs). Recent studies shed new light onto the cellular events that are particularly important for UMN maintenance including intracellular trafficking, mitochondrial energy homeostasis and lipid metabolism. This review summarizes these advances including the role of Alsin as a gene linked to atypical forms of juvenile PLS, and discusses wider aspects of cellular pathology that have been observed in adult forms of PLS. The review further discusses the prospects of new transgenic upper motor neuron reporter mice, human stem cell-derived UMN cultures, cerebral organoids and non-human primates as future model systems to better understand and ultimately treat PLS.
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Affiliation(s)
- P. Hande Ozdinler
- Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Mukesh Gautam
- Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Oge Gozutok
- Weill Cornell Medicine, Feil Family Brain and Mind Research Institute, New York, NY USA
| | - Csaba Konrad
- Weill Cornell Medicine, Feil Family Brain and Mind Research Institute, New York, NY USA
| | - Giovanni Manfredi
- Weill Cornell Medicine, Feil Family Brain and Mind Research Institute, New York, NY USA
| | - Estela Area Gomez
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Hiroshi Mitsumoto
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Eleanor and Lou Gehrig ALS Center, Columbia University Medical Center, New York, NY, USA
| | - Marcella L. Erb
- School of Medicine Light Microscopy Core, University of California San Diego, La Jolla, CA, USA
| | - Zheng Tian
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92093, USA
| | - Georg Haase
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Institute of Systems Neuroscience, Marseille, France
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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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Paganoni S, De Marchi F, Chan J, Thrower SK, Staff NP, Datta N, Kisanuki YY, Drory V, Fournier C, Pioro EP, Goutman SA, Atassi N, Jeon M, Caldwell S, Mcdonough T, Gentile C, Liu J, Turner M, Denny C, Felice K, Green M, Scarberry S, Abu-Saleh S, Nefussy B, Hastings D, Kim S, Swihart B, Arcila-Londono X, Newman DS, Silverman M, Genge A, Salmon K, Elman L, Mccluskey L, Almasy K, Gotkine M, Goslin K, Cummings A, Edwards EK, Rivner M, Bouchard K, Quarles B, Kwan J, Jaffa M, Baloh R, Allred P, Walk D, Maiser S, Manousakis G, Ferment V, Fernandes JAM, Thaisetthawatkul P, Heimes D, Phillips M, Sams L, Kahler M, Corcoran A, Larriviere DG, Chotto S, Juba G. The NEALS primary lateral sclerosis registry. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:74-81. [PMID: 32915077 DOI: 10.1080/21678421.2020.1804591] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND AND OBJECTIVE Primary lateral sclerosis (PLS) is a neurodegenerative disease characterized by progressive upper motor neuron dysfunction. Because PLS patients represent only 1 to 4% of patients with adult motor neuron diseases, there is limited information about the disease's natural history. The objective of this study was to establish a large multicenter retrospective longitudinal registry of PLS patients seen at Northeast ALS Consortium (NEALS) sites to better characterize the natural progression of PLS. Methods: Clinical characteristics, electrophysiological findings, laboratory values, disease-related symptoms, and medications for symptom management were collected from PLS patients seen between 2000 and 2015. Results: The NEALS registry included data from 250 PLS patients. Median follow-up time was 3 years. The mean rate of functional decline measured by ALSFRS-R total score was -1.6 points/year (SE:0.24, n = 124); the mean annual decline in vital capacity was -3%/year (SE:0.55, n = 126). During the observational period, 18 patients died, 17 patients had a feeding tube placed and 7 required permanent assistive ventilation. Conclusions: The NEALS PLS Registry represents the largest available aggregation of longitudinal clinical data from PLS patients and provides a description of expected natural disease progression. Data from the registry will be available to the PLS community and can be leveraged to plan future clinical trials in this rare disease.
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Affiliation(s)
- Sabrina Paganoni
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | - Fabiola De Marchi
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | - James Chan
- Department of Biostatistics, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Sara K Thrower
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | | | - Neil Datta
- Hospital for Special Care, New Britain, CT/University of Connecticut School of Medicine, Farmington, CT, USA
| | - Yaz Y Kisanuki
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Vivian Drory
- Tel Aviv Sourasky Medical Center, Tel Aviv-Yafo, Israel
| | | | - Erik P Pioro
- Neuromuscular Center, Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Nazem Atassi
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | | | - Maryangel Jeon
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | - Sarah Caldwell
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | - Timothy Mcdonough
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | - Caroline Gentile
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | - Jianing Liu
- Department of Neurology, Sean M. Healey & AMG Center for ALS at Mass General, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Kevin Felice
- Hospital for Special Care, New Britain, CT/University of Connecticut School of Medicine, Farmington, CT, USA
| | - Misty Green
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Stephanie Scarberry
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | | | - Debbie Hastings
- Neuromuscular Center, Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Sangri Kim
- Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Blake Swihart
- Neurology, University of Michigan, Ann Arbor, MI, USA
| | | | | | | | - Angela Genge
- Montreal Neurological Institute & Hospital, Montreal, Canada
| | | | - Lauren Elman
- Department of Neurology, University of Pennsylvania Medical Center, Philadelphia, PA, USA
| | - Leo Mccluskey
- Department of Neurology, University of Pennsylvania Medical Center, Philadelphia, PA, USA
| | - Kelly Almasy
- Department of Neurology, University of Pennsylvania Medical Center, Philadelphia, PA, USA
| | - Marc Gotkine
- Department of Neurology, The Agnes Ginges Center for Human Neurogenetics, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | | | | | | | - Michael Rivner
- Department of Neurology, Augusta University, Augusta, GA, USA
| | - Kristy Bouchard
- Department of Neurology, Augusta University, Augusta, GA, USA
| | - Brandy Quarles
- Department of Neurology, Augusta University, Augusta, GA, USA
| | - Justin Kwan
- University of Maryland Medical Center, College Park, MD, USA
| | - Matthew Jaffa
- University of Maryland Medical Center, College Park, MD, USA
| | - Robert Baloh
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Peggy Allred
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - David Walk
- Department of Neurology, University of Minnesota Medical Center, Minneapolis, MN, USA
| | - Samuel Maiser
- Department of Neurology, University of Minnesota Medical Center, Minneapolis, MN, USA
| | - Georgios Manousakis
- Department of Neurology, University of Minnesota Medical Center, Minneapolis, MN, USA
| | - Valerie Ferment
- Department of Neurology, University of Minnesota Medical Center, Minneapolis, MN, USA
| | - J Americo M Fernandes
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | | | - Deborah Heimes
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | | | - Laura Sams
- Department of Neuroscience, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Melissa Kahler
- Department of Neuroscience, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Alecia Corcoran
- Department of Neuroscience, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | | | | | - Gracy Juba
- Ochsner Health System, New Orleans, LA, USA
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Manifold learning for amyotrophic lateral sclerosis functional loss assessment : Development and validation of a prognosis model. J Neurol 2020; 268:825-850. [PMID: 32886252 DOI: 10.1007/s00415-020-10181-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/05/2020] [Accepted: 08/06/2020] [Indexed: 12/11/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is an inexorably progressive neurodegenerative condition with no effective disease-modifying therapy at present. Given the striking clinical heterogeneity of the condition, the development and validation of reliable prognostic models is a recognised research priority. We present a prognostic model for functional decline in ALS where outcome uncertainty is taken into account. Patient data were reduced and projected onto a 2D space using Uniform Manifold Approximation and Projection (UMAP), a novel non-linear dimension reduction technique. Information from 3756 patients was included. Development data were sourced from past clinical trials. Real-world population data were used as validation data. Predictors included age, gender, region of onset, symptom duration, weight at baseline, functional impairment, and estimated rate of functional loss. UMAP projection of patients showed an informative 2D data distribution. As limited data availability precluded complex model designs, the projection was divided into three zones defined by a functional impairment range probability. Zone membership allowed individual patient prediction. Patients belonging to the first zone had a probability of [Formula: see text] (± [Formula: see text]) to have an ALSFRS score over 20 at 1-year follow-up. Patients within the second zone had a probability of [Formula: see text] (± [Formula: see text]) to have an ALSFRS score between 10 and 30 at 1 year follow-up. Finally, patients within the third zone had a probability of [Formula: see text] (± [Formula: see text]) to have an ALSFRS score lower than 20 at 1 year follow-up. This approach requires a limited set of features, is easily updated, improves with additional patient data, and accounts for results uncertainty. This method could therefore be used in a clinical setting for patient stratification and outcome projection.
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MRI data confirm the selective involvement of thalamic and amygdalar nuclei in amyotrophic lateral sclerosis and primary lateral sclerosis. Data Brief 2020; 32:106246. [PMID: 32944601 PMCID: PMC7481815 DOI: 10.1016/j.dib.2020.106246] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 08/12/2020] [Accepted: 08/25/2020] [Indexed: 12/20/2022] Open
Abstract
A standardised imaging protocol was implemented to evaluate disease burden in specific thalamic and amygdalar nuclei in 133 carefully phenotyped and genotyped motor neuron disease patients. “Switchboard malfunction in motor neuron diseases: selective pathology of thalamic nuclei in amyotrophic lateral sclerosis and primary lateral sclerosis” [1] “Amygdala pathology in amyotrophic lateral sclerosis and primary lateral sclerosis” [2] Raw volumetric data, group comparisons, effect sizes and percentage change are presented. Both ALS and PLS patients exhibited focal thalamus atrophy in ventral lateral and ventral anterior regions revealing extrapyramidal motor degeneration. Reduced accessory basal nucleus and cortical nucleus volumes were noted in the amygdala of C9orf72 negative ALS patients compared to healthy controls. ALS patients carrying the GGGGCC hexanucleotide repeats in C9orf72 exhibited preferential pathology in the mediodorsal-paratenial-reuniens thalamic nuclei and in the lateral nucleus and cortico-amygdaloid transition area of the amygdala. Considerable thalamic atrophy was observed in the sensory nuclei and lateral geniculate region of PLS patients. Our data demonstrate genotype-specific patterns of thalamus and amygdala involvement in ALS and a distinct disease-burden pattern in PLS. The dataset may be utilised for validation purposes, meta-analyses and the interpretation of thalamic and amygdalar profiles from other ALS genotypes.
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Finegan E, Siah WF, Shing SLH, Chipika RH, Chang KM, McKenna MC, Doherty MA, Hengeveld JC, Vajda A, Donaghy C, Hutchinson S, McLaughlin RL, Hardiman O, Bede P. Imaging and clinical data indicate considerable disease burden in 'probable' PLS: Patients with UMN symptoms for 2-4 years. Data Brief 2020; 32:106247. [PMID: 32944602 PMCID: PMC7481824 DOI: 10.1016/j.dib.2020.106247] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 08/12/2020] [Accepted: 08/25/2020] [Indexed: 11/19/2022] Open
Abstract
Primary lateral sclerosis (PLS) is an adult-onset upper motor neuron disease manifesting in progressive spasticity and gradually resulting in considerably motor disability. In the absence of early disease-specific diagnostic indicators, the majority of patients with PLS face a circuitous diagnostic journey. Until the recent publication of consensus diagnostic criteria, 4-year symptom duration was required to establish the diagnosis. The new diagnostic criteria introduced the category of ‘probable PLS’ for patients with a symptom duration of 2–4 years. “Evolving diagnostic criteria in primary lateral sclerosis: The clinical and radiological basis of "probable PLS" [1]. This dataset provides radiological metrics in a cohort of ‘probable PLS’ patients, ‘definite PLS’ patients and age-matched healthy controls. Region-of-interest radiological data include diffusivity metrics in the corticospinal tracts and corpus callosum as well as mean cortical thickness values in the pre- and para-central gyri in each hemisphere. Our data indicate considerable grey matter and relatively limited white matter involvement in ‘probable PLS’ which supports the rationale for this diagnostic category as a clinically useful entity. The introduction of this diagnostic category will likely facilitate the timely recruitment of PLS patients into research studies and pharmacological trials before widespread neurodegenerative change ensues.
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Affiliation(s)
- Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Stacey Li Hi Shing
- 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, Western Health & Social Care Trust, Belfast, United Kingdom
| | | | - Russel 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
- Corresponding author.
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Grollemund V, Chat GL, Secchi-Buhour MS, Delbot F, Pradat-Peyre JF, Bede P, Pradat PF. Development and validation of a 1-year survival prognosis estimation model for Amyotrophic Lateral Sclerosis using manifold learning algorithm UMAP. Sci Rep 2020; 10:13378. [PMID: 32770027 PMCID: PMC7414917 DOI: 10.1038/s41598-020-70125-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 07/23/2020] [Indexed: 02/08/2023] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS) is an inexorably progressive neurodegenerative condition with no effective disease modifying therapies. The development and validation of reliable prognostic models is a recognised research priority. We present a prognostic model for survival in ALS where result uncertainty is taken into account. Patient data were reduced and projected onto a 2D space using Uniform Manifold Approximation and Projection (UMAP), a novel non-linear dimension reduction technique. Information from 5,220 patients was included as development data originating from past clinical trials, and real-world population data as validation data. Predictors included age, gender, region of onset, symptom duration, weight at baseline, functional impairment, and estimated rate of functional loss. UMAP projection of patients shows an informative 2D data distribution. As limited data availability precluded complex model designs, the projection was divided into three zones with relevant survival rates. These rates were defined using confidence bounds: high, intermediate, and low 1-year survival rates at respectively [Formula: see text] ([Formula: see text]), [Formula: see text] ([Formula: see text]) and [Formula: see text] ([Formula: see text]). Predicted 1-year survival was estimated using zone membership. This approach requires a limited set of features, is easily updated, improves with additional patient data, and accounts for results uncertainty.
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Affiliation(s)
- Vincent Grollemund
- Laboratoire d'Informatique de Paris 6, Sorbonne Université, Paris, 75005, France.
- FRS Consulting, Paris, 75009, France.
| | | | | | - François Delbot
- Laboratoire d'Informatique de Paris 6, Sorbonne Université, Paris, 75005, France
- Nanterre Université, Modal'X, Nanterre, 92014, France
| | - Jean-François Pradat-Peyre
- Laboratoire d'Informatique de Paris 6, Sorbonne Université, Paris, 75005, France
- Nanterre Université, Modal'X, Nanterre, 92014, France
| | - Peter Bede
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, Paris, 75005, France
- Département de Neurologie, Pitié-Salpêtrière University Hospital, APHP, Paris, 75013, France
- Computational Neuroimaging Group, Trinity College, Dublin, D02 PN40, Ireland
| | - Pierre-François Pradat
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, Paris, 75005, France
- Département de Neurologie, Pitié-Salpêtrière University Hospital, APHP, Paris, 75013, France
- Antnagelvin Hospital, Northern Ireland Center for Stratified Medecine, Biomedical Sciences Research Institute Ulster University, C-TRIC, Londonderry, BT47 6SB, United Kingdom
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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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Chipika RH, Christidi F, Finegan E, Li Hi Shing S, McKenna MC, Chang KM, Karavasilis E, Doherty MA, Hengeveld JC, Vajda A, Pender N, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O, Bede P. Amygdala pathology in amyotrophic lateral sclerosis and primary lateral sclerosis. J Neurol Sci 2020; 417:117039. [PMID: 32713609 DOI: 10.1016/j.jns.2020.117039] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/19/2020] [Accepted: 07/13/2020] [Indexed: 12/26/2022]
Abstract
Temporal lobe studies in motor neuron disease overwhelmingly focus on white matter alterations and cortical grey matter atrophy. Reports on amygdala involvement are conflicting and the amygdala is typically evaluated as single structure despite consisting of several functionally and cytologically distinct nuclei. A prospective, single-centre, neuroimaging study was undertaken to comprehensively characterise amygdala pathology in 100 genetically-stratified ALS patients, 33 patients with PLS and 117 healthy controls. The amygdala was segmented into groups of nuclei using a Bayesian parcellation algorithm based on a probabilistic atlas and shape deformations were additionally assessed by vertex analyses. The accessory basal nucleus (p = .021) and the cortical nucleus (p = .022) showed significant volume reductions in C9orf72 negative ALS patients compared to controls. The lateral nucleus (p = .043) and the cortico-amygdaloid transition (p = .024) were preferentially affected in C9orf72 hexanucleotide carriers. A trend of total volume reduction was identified in C9orf72 positive ALS patients (p = .055) which was also captured in inferior-medial shape deformations on vertex analyses. Our findings highlight that the amygdala is affected in ALS and our study demonstrates the selective involvement of specific nuclei as opposed to global atrophy. The genotype-specific patterns of amygdala involvement identified by this study are consistent with the growing literature of extra-motor clinical features. Mesial temporal lobe pathology in ALS is not limited to hippocampal pathology but, as a key hub of the limbic system, the amygdala is also affected in ALS.
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Affiliation(s)
- Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Foteini Christidi
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; Department of Neurology, Aeginition Hospital, University of Athens, Greece
| | - 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
| | - Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, United Kingdom
| | - Efstratios Karavasilis
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; 2nd Department of Radiology, Attikon University Hospital, University of Athens, Athens, Greece
| | - 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
| | - Niall Pender
- Department of psychology, Beaumont Hospital Dublin, Ireland
| | - Siobhan Hutchinson
- Department of Neurology, St James's Hospital, James's St, Ushers, Dublin 8 D08 NHY1, 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, 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
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland.
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Mackenzie IRA, Briemberg H. TDP-43 pathology in primary lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:52-58. [PMID: 32657153 DOI: 10.1080/21678421.2020.1790607] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Primary lateral sclerosis (PLS) is a controversial form of motor neuron disease (MND), with uncertainty whether it represents a distinct clinico-pathological entity or is simply a variant of classical amyotrophic lateral sclerosis (ALS). Neuropathological studies provide an opportunity to investigate these issues; however, there have been very few published descriptions of postmortem findings in clinically defined PLS, using modern techniques. Here, we report the neuropathological features of seven cases of PLS with age at onset ranging from 47 to 73 years and disease duration from 3.5 to 35 years. All cases showed chronic degeneration of the primary motor cortex and/or the corticospinal tracts with preservation of lower motor neurons (LMN). All five cases, in which motor cortex was available, had TDP-43 immunoreactive (TDP-ir) cortical pathology. In all seven cases, TDP-ir inclusions were also present in LMN; however, these were always rare, averaging less than one inclusion per tissue section. The finding of TDP-ir pathology in all our cases suggests that PLS and ALS are closely related conditions. Importantly however, the extremely minor involvement of LMN, even after very long disease duration in some cases, suggests that PLS is a distinct form of MND in which LMN are spared or protected.
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Affiliation(s)
- Ian R A Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, and
| | - Hannah Briemberg
- Division of Neurology, University of British Columbia, Vancouver, BC, Canada
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"Switchboard" malfunction in motor neuron diseases: Selective pathology of thalamic nuclei in amyotrophic lateral sclerosis and primary lateral sclerosis. NEUROIMAGE-CLINICAL 2020; 27:102300. [PMID: 32554322 PMCID: PMC7303672 DOI: 10.1016/j.nicl.2020.102300] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 05/22/2020] [Accepted: 05/23/2020] [Indexed: 02/06/2023]
Abstract
The thalamus is a key cerebral hub relaying a multitude of corticoefferent and corticoafferent connections and mediating distinct extrapyramidal, sensory, cognitive and behavioural functions. While the thalamus consists of dozens of anatomically well-defined nuclei with distinctive physiological roles, existing imaging studies in motor neuron diseases typically evaluate the thalamus as a single structure. Based on the unique cortical signatures observed in ALS and PLS, we hypothesised that similarly focal thalamic involvement may be observed if the nuclei are individually evaluated. A prospective imaging study was undertaken with 100 patients with ALS, 33 patients with PLS and 117 healthy controls to characterise the integrity of thalamic nuclei. ALS patients were further stratified for the presence of GGGGCC hexanucleotide repeat expansions in C9orf72. The thalamus was segmented into individual nuclei to examine their volumetric profile. Additionally, thalamic shape deformations were evaluated by vertex analyses and focal density alterations were examined by region-of-interest morphometry. Our data indicate that C9orf72 negative ALS patients and PLS patients exhibit ventral lateral and ventral anterior involvement, consistent with the ‘motor’ thalamus. Degeneration of the sensory nuclei was also detected in C9orf72 negative ALS and PLS. Both ALS groups and the PLS cohort showed focal changes in the mediodorsal-paratenial-reuniens nuclei, which mediate memory and executive functions. PLS patients exhibited distinctive thalamic changes with marked pulvinar and lateral geniculate atrophy compared to both controls and C9orf72 negative ALS. The considerable ventral lateral and ventral anterior pathology detected in both ALS and PLS support the emerging literature of extrapyramidal dysfunction in MND. The involvement of sensory nuclei is consistent with sporadic reports of sensory impairment in MND. The unique thalamic signature of PLS is in line with the distinctive clinical features of the phenotype. Our data confirm phenotype-specific patterns of thalamus involvement in motor neuron diseases with the preferential involvement of nuclei mediating motor and cognitive functions. Given the selective involvement of thalamic nuclei in ALS and PLS, future biomarker and natural history studies in MND should evaluate individual thalamic regions instead overall thalamic changes.
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Hensiek N, Schreiber F, Wimmer T, Kaufmann J, Machts J, Fahlbusch L, Garz C, Vogt S, Prudlo J, Dengler R, Petri S, Nestor PJ, Vielhaber S, Schreiber S. Sonographic and 3T-MRI-based evaluation of the tongue in ALS. NEUROIMAGE-CLINICAL 2020; 26:102233. [PMID: 32171167 PMCID: PMC7068685 DOI: 10.1016/j.nicl.2020.102233] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 02/18/2020] [Accepted: 02/29/2020] [Indexed: 10/27/2022]
Abstract
A few systematic imaging studies employing ultrasound (HRUS) and magnetic resonance imaging (MRI) have suggested tongue measures to aid in diagnosis of amyotrophic lateral sclerosis (ALS). The relationship between structural tongue alterations and the ALS patients' bulbar and overall motor function has not yet been elucidated. We here thus aimed to understand how in-vivo tongue alterations relate to motor function and motor function evolution over time in ALS. Our study included 206 ALS patients and 104 age- and sex-matched controls that underwent HRUS and 3T MRI of the tongue at baseline. Sonographic measures comprised coronal tongue echointensity, area, height, width and height/width ratio, while MRI measures comprised sagittal T1 intensity, tongue area, position and shape. Imaging-derived markers were related to baseline and longitudinal bulbar and overall motor function. Baseline T1 intensity was lower in ALS patients with more severe bulbar involvement at baseline. Smaller baseline coronal (HRUS) and sagittal (MRI) tongue area, smaller coronal height (HRUS) and width (HRUS) as well as more rounded sagittal tongue shape predicated more rapid functional impairment - not only of bulbar, but also of overall motor function - in ALS. Our results suggest that in-vivo sonography und MRI tongue measures could aid as biomarkers to reflect bulbar and motor function impairment.
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Affiliation(s)
- Nathalie Hensiek
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Frank Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - Thomas Wimmer
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Jörn Kaufmann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Judith Machts
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - Laura Fahlbusch
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Cornelia Garz
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - Susanne Vogt
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - Johannes Prudlo
- Department of Neurology, Rostock University Medical Center, Germany; German Center for Neurodegenerative Diseases (DNZE) within the Helmholtz Association, Rostock, Germany
| | - Reinhard Dengler
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Peter J Nestor
- Queensland Brain Institute, University of Queensland, Brisbane 4072, Australia
| | - Stefan Vielhaber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany; Center for behavioral brain sciences (CBBS), Magdeburg, Germany
| | - Stefanie Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany; Center for behavioral brain sciences (CBBS), Magdeburg, Germany.
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49
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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: 1.0] [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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50
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Bede P, Chipika RH, Finegan E, Li Hi Shing S, Chang KM, Doherty MA, Hengeveld JC, Vajda A, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O. Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis. Data Brief 2020; 29:105229. [PMID: 32083157 PMCID: PMC7016370 DOI: 10.1016/j.dib.2020.105229] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 01/24/2020] [Accepted: 01/27/2020] [Indexed: 12/22/2022] Open
Abstract
A standardised, single-centre, longitudinal imaging protocol was used to evaluate longitudinal brainstem alterations in 100 patients with amyotrophic lateral sclerosis (ALS) with reference to 33 patients with primary lateral sclerosis (PLS), 30 patients with frontotemporal dementia (FTD) and 100 healthy controls. “Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: A longitudinal neuroimaging study” [1] ALS patients were scanned twice; 4 months apart. T1-weighted imaging data were acquired on a 3 T Philips Achieva MRI system, using a 3D Inversion Recovery prepared Spoiled Gradient Recalled echo (IR-SPGR) sequence. Raw MRI data underwent meticulous quality control before pre-processing. A Bayesian segmentation algorithm was utilised to parcellate the brainstem into the medulla oblongata, pons and mesencephalon before estimating the volume of each segment. Vertex-based shape analyses were carried out to characterise anatomical patterns of atrophy. Brainstem volume loss in ALS was dominated by medulla oblongata atrophy, but significant pontine pathology was also detected. Brainstem volume reductions were more significant in PLS than in ALS after correcting for demographic variables and total intracranial volume. Shape analyses revealed bilateral ‘flattening’ of the medullary pyramids in ALS compared to healthy controls. Our data demonstrate that computational neuroimaging readily detects brainstem pathology in vivo in both amyotrophic lateral sclerosis and primary lateral sclerosis.
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Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
- Corresponding author.
| | - 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
| | - Kai Ming Chang
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
- Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, United Kingdom
| | - Mark A. Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Jennifer C. Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, 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, Belfast, Western Health & Social Care Trust, UK
| | - Russell L. McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, 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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