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Schuster C, Hardiman O, Bede P. Development of an Automated MRI-Based Diagnostic Protocol for Amyotrophic Lateral Sclerosis Using Disease-Specific Pathognomonic Features: A Quantitative Disease-State Classification Study. PLoS One 2016; 11:e0167331. [PMID: 27907080 PMCID: PMC5132189 DOI: 10.1371/journal.pone.0167331] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 11/12/2016] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Despite significant advances in quantitative neuroimaging, the diagnosis of ALS remains clinical and MRI-based biomarkers are not currently used to aid the diagnosis. The objective of this study is to develop a robust, disease-specific, multimodal classification protocol and validate its diagnostic accuracy in independent, early-stage and follow-up data sets. METHODS 147 participants (81 ALS patients and 66 healthy controls) were divided into a training sample and a validation sample. Patients in the validation sample underwent follow-up imaging longitudinally. After removing age-related variability, indices of grey and white matter integrity in ALS-specific pathognomonic brain regions were included in a cross-validated binary logistic regression model to determine the probability of individual scans indicating ALS. The following anatomical regions were assessed for diagnostic classification: average grey matter density of the left and right precentral gyrus, the average fractional anisotropy and radial diffusivity of the left and right superior corona radiata, inferior corona radiata, internal capsule, mesencephalic crus of the cerebral peduncles, pontine segment of the corticospinal tract, and the average diffusivity values of the genu, corpus and splenium of the corpus callosum. RESULTS Using a 50% probability cut-off value of suffering from ALS, the model was able to discriminate ALS patients and HC with good sensitivity (80.0%) and moderate accuracy (70.0%) in the training sample and superior sensitivity (85.7%) and accuracy (78.4%) in the independent validation sample. CONCLUSIONS This diagnostic classification study endeavours to advance ALS biomarker research towards pragmatic clinical applications by providing an approach of automated individual-data interpretation based on group-level observations.
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Affiliation(s)
- Christina Schuster
- Quantitative Neuroimaging Group, Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Orla Hardiman
- Quantitative Neuroimaging Group, Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Peter Bede
- Quantitative Neuroimaging Group, Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Ireland
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102
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Westeneng HJ, Walhout R, Straathof M, Schmidt R, Hendrikse J, Veldink JH, van den Heuvel MP, van den Berg LH. Widespread structural brain involvement in ALS is not limited to the C9orf72 repeat expansion. J Neurol Neurosurg Psychiatry 2016; 87:1354-1360. [PMID: 27756805 PMCID: PMC5136726 DOI: 10.1136/jnnp-2016-313959] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 08/18/2016] [Accepted: 08/31/2016] [Indexed: 12/12/2022]
Abstract
BACKGROUND In patients with a C9orf72 repeat expansion (C9+), a neuroimaging phenotype with widespread structural cerebral changes has been found. We aimed to investigate the specificity of this neuroimaging phenotype in patients with amyotrophic lateral sclerosis (ALS). METHODS 156 C9- and 14 C9+ patients with ALS underwent high-resolution T1-weighted MRI; a subset (n=126) underwent diffusion-weighted imaging. Cortical thickness, subcortical volumes and white matter integrity were compared between C9+ and C9- patients. Using elastic net logistic regression, a model defining the neuroimaging phenotype of C9+ was determined and applied to C9- patients with ALS. RESULTS C9+ patients showed cortical thinning outside the precentral gyrus, extending to the bilateral pars opercularis, fusiform, lingual, isthmus-cingulate and superior parietal cortex, and smaller volumes of the right hippocampus and bilateral thalamus, and reduced white matter integrity of the inferior and superior longitudinal fasciculus compared with C9- patients (p<0.05). Among 128 C9- patients, we detected a subgroup of 27 (21%) with a neuroimaging phenotype congruent to C9+ patients, while 101 (79%) C9- patients showed cortical thinning restricted to the primary motor cortex. C9- patients with a 'C9+' neuroimaging phenotype had lower performance on the frontal assessment battery, compared with other C9- patients with ALS (p=0.004). CONCLUSIONS This study shows that widespread structural brain involvement is not limited to C9+ patients, but also presents in a subgroup of C9- patients with ALS and relates to cognitive deficits. Our neuroimaging findings reveal an intermediate phenotype that may provide insight into the complex relationship between genetic factors and clinical characteristics.
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Affiliation(s)
- Henk-Jan Westeneng
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Renée Walhout
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Milou Straathof
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ruben Schmidt
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Martijn P van den Heuvel
- Department of Psychiatry, 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
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103
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Alshikho MJ, Zürcher NR, Loggia ML, Cernasov P, Chonde DB, Izquierdo Garcia D, Yasek JE, Akeju O, Catana C, Rosen BR, Cudkowicz ME, Hooker JM, Atassi N. Glial activation colocalizes with structural abnormalities in amyotrophic lateral sclerosis. Neurology 2016; 87:2554-2561. [PMID: 27837005 PMCID: PMC5207001 DOI: 10.1212/wnl.0000000000003427] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 08/30/2016] [Indexed: 11/24/2022] Open
Abstract
Objective: In this cross-sectional study, we aimed to evaluate brain structural abnormalities in relation to glial activation in the same cohort of participants. Methods: Ten individuals with amyotrophic lateral sclerosis (ALS) and 10 matched healthy controls underwent brain imaging using integrated MR/PET and the radioligand [11C]-PBR28. Diagnosis history and clinical assessments including Upper Motor Neuron Burden Scale (UMNB) were obtained from patients with ALS. Diffusion tensor imaging (DTI) analyses including tract-based spatial statistics and tractography were applied. DTI metrics including fractional anisotropy (FA) and diffusivities (mean, axial, and radial) were measured in regions of interest. Cortical thickness was assessed using surface-based analysis. The locations of structural changes, measured by DTI and the areas of cortical thinning, were compared to regional glial activation measured by relative [11C]-PBR28 uptake. Results: In this cohort of individuals with ALS, reduced FA and cortical thinning colocalized with regions demonstrating higher radioligand binding. [11C]-PBR28 binding in the left motor cortex was correlated with FA (r = −0.68, p < 0.05) and cortical thickness (r = −0.75, p < 0.05). UMNB was correlated with glial activation (r = +0.75, p < 0.05), FA (r = −0.77, p < 0.05), and cortical thickness (r = −0.75, p < 0.05) in the motor cortex. Conclusions: Increased uptake of the glial marker [11C]-PBR28 colocalizes with changes in FA and cortical thinning. This suggests a link between disease mechanisms (gliosis and inflammation) and structural changes (cortical thinning and white and gray matter changes). In this multimodal neuroimaging work, we provide an in vivo model to investigate the pathogenesis of ALS.
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Affiliation(s)
- Mohamad J Alshikho
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Nicole R Zürcher
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Marco L Loggia
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Paul Cernasov
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Daniel B Chonde
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - David Izquierdo Garcia
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Julia E Yasek
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Oluwaseun Akeju
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Ciprian Catana
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Bruce R Rosen
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Merit E Cudkowicz
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Jacob M Hooker
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown.
| | - Nazem Atassi
- From A.A. Martinos Center for Biomedical Imaging, Department of Radiology (M.J.A., N.R.Z., M.L.L., D.B.C., D.I.G., C.C., B.R.R., J.M.H.), Neurological Clinical Research Institute, Department of Neurology (M.J.A., P.C., J.E.Y., M.E.C., N.A.), and Department of Anesthesiology (O.A.), Massachusetts General Hospital, Harvard Medical School, Charlestown.
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Dimond D, Ishaque A, Chenji S, Mah D, Chen Z, Seres P, Beaulieu C, Kalra S. White matter structural network abnormalities underlie executive dysfunction in amyotrophic lateral sclerosis. Hum Brain Mapp 2016; 38:1249-1268. [PMID: 27796080 DOI: 10.1002/hbm.23452] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Revised: 10/13/2016] [Accepted: 10/18/2016] [Indexed: 12/13/2022] Open
Abstract
Research in amyotrophic lateral sclerosis (ALS) suggests that executive dysfunction, a prevalent cognitive feature of the disease, is associated with abnormal structural connectivity and white matter integrity. In this exploratory study, we investigated the white matter constructs of executive dysfunction, and attempted to detect structural abnormalities specific to cognitively impaired ALS patients. Eighteen ALS patients and 22 age and education matched healthy controls underwent magnetic resonance imaging on a 4.7 Tesla scanner and completed neuropsychometric testing. ALS patients were categorized into ALS cognitively impaired (ALSci, n = 9) and ALS cognitively competent (ALScc, n = 5) groups. Tract-based spatial statistics and connectomics were used to compare white matter integrity and structural connectivity of ALSci and ALScc patients. Executive function performance was correlated with white matter FA and network metrics within the ALS group. Executive function performance in the ALS group correlated with global and local network properties, as well as FA, in regions throughout the brain, with a high predilection for the frontal lobe. ALSci patients displayed altered local connectivity and structural integrity in these same frontal regions that correlated with executive dysfunction. Our results suggest that executive dysfunction in ALS is related to frontal network disconnectivity, which potentially mediates domain-specific, or generalized cognitive impairment, depending on the degree of global network disruption. Furthermore, reported co-localization of decreased network connectivity and diminished white matter integrity suggests white matter pathology underlies this topological disruption. We conclude that executive dysfunction in ALSci is associated with frontal and global network disconnectivity, underlined by diminished white matter integrity. Hum Brain Mapp 38:1249-1268, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Dennis Dimond
- Neuroscience and Mental Health Institute, University of Alberta, 4-142 Katz Group Centre, 116 St. and 85 Ave, Edmonton, Alberta, T6G 2E1, Canada
| | - Abdullah Ishaque
- Neuroscience and Mental Health Institute, University of Alberta, 4-142 Katz Group Centre, 116 St. and 85 Ave, Edmonton, Alberta, T6G 2E1, Canada
| | - Sneha Chenji
- Neuroscience and Mental Health Institute, University of Alberta, 4-142 Katz Group Centre, 116 St. and 85 Ave, Edmonton, Alberta, T6G 2E1, Canada
| | - Dennell Mah
- Division of Neurology, Department of Medicine, University of Alberta, 7-132F Clinical Sciences Building, 11350-83 Ave, Edmonton, Alberta, T6G 2G3, Canada
| | - Zhang Chen
- Department of Biomedical Engineering, University of Alberta, 1098 Research Transition Facility, 8308-114 St, Edmonton, Alberta, T6G 2V2, Canada
| | - Peter Seres
- Department of Biomedical Engineering, University of Alberta, 1098 Research Transition Facility, 8308-114 St, Edmonton, Alberta, T6G 2V2, Canada
| | - Christian Beaulieu
- Neuroscience and Mental Health Institute, University of Alberta, 4-142 Katz Group Centre, 116 St. and 85 Ave, Edmonton, Alberta, T6G 2E1, Canada.,Department of Biomedical Engineering, University of Alberta, 1098 Research Transition Facility, 8308-114 St, Edmonton, Alberta, T6G 2V2, Canada
| | - Sanjay Kalra
- Neuroscience and Mental Health Institute, University of Alberta, 4-142 Katz Group Centre, 116 St. and 85 Ave, Edmonton, Alberta, T6G 2E1, Canada.,Division of Neurology, Department of Medicine, University of Alberta, 7-132F Clinical Sciences Building, 11350-83 Ave, Edmonton, Alberta, T6G 2G3, Canada.,Department of Biomedical Engineering, University of Alberta, 1098 Research Transition Facility, 8308-114 St, Edmonton, Alberta, T6G 2V2, Canada
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105
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Floeter MK, Bageac D, Danielian LE, Braun LE, Traynor BJ, Kwan JY. Longitudinal imaging in C9orf72 mutation carriers: Relationship to phenotype. NEUROIMAGE-CLINICAL 2016; 12:1035-1043. [PMID: 27995069 PMCID: PMC5153604 DOI: 10.1016/j.nicl.2016.10.014] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 10/17/2016] [Accepted: 10/19/2016] [Indexed: 11/24/2022]
Abstract
Expansion mutations in the C9orf72 gene may cause amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), or mixtures of the two clinical phenotypes. Different imaging findings have been described for C9orf72-associated diseases in comparison with sporadic patients with the same phenotypes, but it is uncertain whether different phenotypes have a common genotype-associated imaging signature. To address this question, 27 unrelated C9orf72 expansion mutation carriers (C9 +) with varied phenotypes, 28 age-matched healthy controls and 22 patients with sporadic ALS (sALS) underwent 3T MRI scanning and clinical phenotyping. Measures of brain volumes and cortical thickness were extracted from T1 images. Compared to healthy controls and sALS patients, symptomatic C9 + subjects had greater ventricular volume loss and thalamic atrophy for age, with diffuse, patchy cortical thinning. Asymptomatic carriers did not differ from controls. C9 + ALS and ALS-FTD patients had less thinning of the motor cortex than sALS patients, but more thinning in extramotor regions, particularly in frontal and temporal lobes. C9 + ALS patients differed from sporadic ALS patients in the thickness of the superior frontal gyrus and lateral orbitofrontal cortex. Thickness of the precentral gyrus was weakly correlated with the revised ALS functional rating scale. Thickness of many cortical regions, including several frontal and temporal regions, was moderately correlated with letter fluency scores. Letter fluency scores were weakly correlated with ventricular and thalamic volume. To better understand how imaging findings are related to disease progression, nineteen C9 + subjects and 23 healthy controls were scanned approximately 6 months later. Ventricular volume increased in C9 + patients with FTD and ALS-FTD phenotypes and remained stable in asymptomatic C9 + subjects. We conclude that diffuse atrophy is a common underlying feature of disease associated with C9orf72 mutations across its clinical phenotypes. Ventricular enlargement can be measured over a 6-month time frame, and appears to be faster in patients with cognitive impairment. Patchy cortical thinning and diffuse atrophy are a hallmark of symptomatic ALS and FTD C9orf72 mutation carriers. Symptomatic C9orf72 carriers have more atrophy and diffuse thinning than sporadic ALS patients and healthy controls. Ventricular enlargement can be detected over a 6-month interval in symptomatic C9orf72 carriers. Impaired letter fluency is associated with diffuse cortical thinning. Changes in letter fluency, but not ALSFRS-R are correlated with 6-month ventricular enlargement.
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Key Words
- ALS, amyotrophic lateral sclerosis
- ALSFRS-R, ALS functional rating scale — revised
- ANCOVA, analysis of covariance
- ANOVA, analysis of variance
- Amyotrophic lateral sclerosis
- C9orf72
- C9 +, subjects with C9orf72 expansion mutations
- CSF, cerebrospinal fluid
- Cortical thickness
- DRS-2, Mattis dementia rating scale
- DTI, diffusion tensor imaging
- Diffusion tensor imaging
- FBI, frontobehavioral inventory
- FDR, false discovery rate correction
- FTD, frontotemporal dementia
- Frontotemporal dementia
- MRI, magnetic resonance imaging
- SD, standard deviation
- TIV, total intracranial volume
- Ventricular volume
- bvFTD, behavioral variant frontotemporal dementia
- sALS, sporadic ALS
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Affiliation(s)
- Mary Kay Floeter
- Motor Neuron Disorders Unit, OCD, NINDS, NIH 10 Center Drive Room 7-5680 Bethesda, MD 20892-1404, United States
| | - Devin Bageac
- Motor Neuron Disorders Unit, OCD, NINDS, NIH 10 Center Drive Room 7-5680 Bethesda, MD 20892-1404, United States
| | - Laura E Danielian
- Motor Neuron Disorders Unit, OCD, NINDS, NIH 10 Center Drive Room 7-5680 Bethesda, MD 20892-1404, United States
| | - Laura E Braun
- Motor Neuron Disorders Unit, OCD, NINDS, NIH 10 Center Drive Room 7-5680 Bethesda, MD 20892-1404, United States
| | - Bryan J Traynor
- Neuromuscular Disease Research Section LNG, NIA, NIH 35 Convent Drive Room 1A213 Bethesda, MD 20892-3707, United States
| | - Justin Y Kwan
- Department of Neurology, University of Maryland, 110 S. Paca Street, Baltimore, MD 21201, United States
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106
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Grolez G, Moreau C, Danel-Brunaud V, Delmaire C, Lopes R, Pradat PF, El Mendili MM, Defebvre L, Devos D. The value of magnetic resonance imaging as a biomarker for amyotrophic lateral sclerosis: a systematic review. BMC Neurol 2016; 16:155. [PMID: 27567641 PMCID: PMC5002331 DOI: 10.1186/s12883-016-0672-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 08/10/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a fatal, rapidly progressive neurodegenerative disease that mainly affects the motor system. A number of potentially neuroprotective and neurorestorative disease-modifying drugs are currently in clinical development. At present, the evaluation of a drug's clinical efficacy in ALS is based on the ALS Functional Rating Scale Revised, motor tests and survival. However, these endpoints are general, variable and late-stage measures of the ALS disease process and thus require the long-term assessment of large cohorts. Hence, there is a need for more sensitive radiological biomarkers. Various sequences for magnetic resonance imaging (MRI) of the brain and spinal cord have may have value as surrogate biomarkers for use in future clinical trials. Here, we review the MRI findings in ALS, their clinical correlations, and their limitations and potential role as biomarkers. METHODS The PubMed database was screened to identify studies using MRI in ALS. We included general MRI studies with a control group and an ALS group and longitudinal studies even if a control group was lacking. RESULTS A total of 116 studies were analysed with MRI data and clinical correlations. The most disease-sensitive MRI patterns are in motor regions but the brain is more broadly affected. CONCLUSION Despite the existing MRI biomarkers, there is a need for large cohorts with long term MRI and clinical follow-up. MRI assessment could be improved by standardized MRI protocols with multicentre studies.
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Affiliation(s)
- G. Grolez
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - C. Moreau
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - V. Danel-Brunaud
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - C. Delmaire
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Neuroradiology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - R. Lopes
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Neuroradiology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - P. F. Pradat
- Laboratoire d’Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Paris, France
- Département des Maladies du Système Nerveux, Groupe Hospitalier Pitié-Salpêtrière, APHP, Paris, France
| | - M. M. El Mendili
- Laboratoire d’Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Paris, France
| | - L. Defebvre
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - D. Devos
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Medical Pharmacology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
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107
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Burrell JR, Halliday GM, Kril JJ, Ittner LM, Götz J, Kiernan MC, Hodges JR. The frontotemporal dementia-motor neuron disease continuum. Lancet 2016; 388:919-31. [PMID: 26987909 DOI: 10.1016/s0140-6736(16)00737-6] [Citation(s) in RCA: 246] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Early reports of cognitive and behavioural deficits in motor neuron disease might have been overlooked initially, but the concept of a frontotemporal dementia-motor neuron disease continuum has emerged during the past decade. Frontotemporal dementia-motor neuron disease is now recognised as an important dementia syndrome, which presents substantial challenges for diagnosis and management. Frontotemporal dementia, motor neuron disease, and frontotemporal dementia-motor neuron disease are characterised by overlapping patterns of TAR DNA binding protein (TDP-43) pathology, while the chromosome 9 open reading frame 72 (C9orf72) repeat expansion is common across the disease spectrum. Indeed, the C9orf72 repeat expansion provides important clues to disease pathogenesis and suggests potential therapeutic targets. Variable diagnostic criteria identify motor, cognitive, and behavioural deficits, but further refinement is needed to define the clinical syndromes encountered in frontotemporal dementia-motor neuron disease.
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Affiliation(s)
- James R Burrell
- Neuroscience Research Australia, Sydney, NSW, Australia; Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Glenda M Halliday
- Neuroscience Research Australia, Sydney, NSW, Australia; Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Jillian J Kril
- Disciplines of Medicine and Pathology, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Lars M Ittner
- Neuroscience Research Australia, Sydney, NSW, Australia; Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Jürgen Götz
- Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Matthew C Kiernan
- Neuroscience Research Australia, Sydney, NSW, Australia; Brain and Mind Centre, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - John R Hodges
- Neuroscience Research Australia, Sydney, NSW, Australia; Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
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Masuda M, Senda J, Watanabe H, Epifanio B, Tanaka Y, Imai K, Riku Y, Li Y, Nakamura R, Ito M, Ishigaki S, Atsuta N, Koike H, Katsuno M, Hattori N, Naganawa S, Sobue G. Involvement of the caudate nucleus head and its networks in sporadic amyotrophic lateral sclerosis-frontotemporal dementia continuum. Amyotroph Lateral Scler Frontotemporal Degener 2016; 17:571-579. [PMID: 27684890 DOI: 10.1080/21678421.2016.1211151] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
We investigated common structural and network changes across the sporadic amyotrophic lateral sclerosis (ALS)-frontotemporal dementia (FTD) continuum. Based on cluster analysis using the frontotemporal assessment battery, 51 patients with sporadic ALS were subdivided into three groups: 25 patients with ALS with cognitive deficiency (ALS-CD); seven patients who satisfied FTD criteria (ALS-FTD), and 19 patients with ALS with normal cognitive function (ALS-NC). Compared with the controls, gray matter images from patients with ALS-FTD showed atrophic changes in the following order of severity: caudate head, medial frontal gyrus, thalamus, amygdala, putamen, and cingulate gyrus (peak level, uncorrected p < 0.001). The caudate head was significant at the cluster level using FWE correction (p < 0.05). Diffusion tensor imaging with tract-based spatial statistics revealed white matter changes in the areas surrounding the caudate head, the internal capsule, and the anterior horn of the lateral ventricle in the ALS-CD and ALS-FTD. Probabilistic diffusion tractography showed a significant decrease in structural connectivity between the caudate head and the dorsomedial frontal cortex and the lateral orbitofrontal cortex, even in the ALS-NC. Our results indicated that the caudate head and its networks were the most vulnerable to lesion in sporadic ALS-FTD-spectrum patients associated with cognitive decline with FTD features.
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Affiliation(s)
| | | | - Hirohisa Watanabe
- a Department of Neurology and.,d Brain and Mind Research Center , Nagoya University , Nagoya
| | | | | | | | | | - Yuanzhe Li
- c Department of Neurology , Juntendo University School of Medicine , Tokyo , Japan , and
| | | | | | | | | | | | | | - Nobutaka Hattori
- c Department of Neurology , Juntendo University School of Medicine , Tokyo , Japan , and
| | - Shinji Naganawa
- b Department of Radiology , Nagoya University Graduate School of Medicine , Nagoya , Japan
| | - Gen Sobue
- a Department of Neurology and.,d Brain and Mind Research Center , Nagoya University , Nagoya
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109
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Ferguson R, Serafeimidou-Pouliou E, Subramanian V. Dynamic expression of the mouse orthologue of the human amyotropic lateral sclerosis associated gene C9orf72 during central nervous system development and neuronal differentiation. J Anat 2016; 229:871-891. [PMID: 27476503 DOI: 10.1111/joa.12526] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2016] [Indexed: 12/12/2022] Open
Abstract
The hexanucleotide repeat in the first intron of the C9orf72 gene is the most significant cause of amyotropic lateral sclerosis as well as some forms of fronto-temporal dementia. The C9orf72 protein has been previously reported to be expressed in post-mortem human brain as well as in late embryonic and some postnatal stages in mice. Herein, we present a detailed study of the distribution of C9orf72 protein in the embryonic, postnatal and adult mouse brain, spinal cord as well as during the differentiation of P19 embryonal carcinoma cells to neurons including motor neurons. We show that the expression levels of the C9orf72 transcripts in the developing and adult mouse brain as well as in differentiating neurons, are dynamic. Besides the strong expression in the cerebellum and motor cortex reported previously, we show for the first time that C9orf72 is expressed strongly in the olfactory bulb and also in the hippocampus. Our immunostaining data also reveal a hitherto unreported switch in the cellular distribution of C9orf72 from a predominantly cytoplasmic to a nucleo-cytoplasmic distribution during corticogenesis. This switch in distribution was also observed during differentiation of the pluripotent embryonal carcinoma P19 cell line to mature neurons. Our findings have implications for interpreting the pathophysiology caused by the repeat expansions in C9orf72 in mouse models.
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Affiliation(s)
- Ross Ferguson
- Department of Biology and Biochemistry, University of Bath, BA2 7AY, Bath, UK
| | | | - Vasanta Subramanian
- Department of Biology and Biochemistry, University of Bath, BA2 7AY, Bath, UK
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110
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Schuster C, Elamin M, Hardiman O, Bede P. The segmental diffusivity profile of amyotrophic lateral sclerosis associated white matter degeneration. Eur J Neurol 2016; 23:1361-71. [DOI: 10.1111/ene.13038] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 04/04/2016] [Indexed: 12/19/2022]
Affiliation(s)
- C. Schuster
- Quantitative Neuroimaging Group; Academic Unit of Neurology; Biomedical Sciences Institute; Trinity College Dublin; Dublin Ireland
| | - M. Elamin
- Quantitative Neuroimaging Group; Academic Unit of Neurology; Biomedical Sciences Institute; Trinity College Dublin; Dublin Ireland
| | - O. Hardiman
- Quantitative Neuroimaging Group; Academic Unit of Neurology; Biomedical Sciences Institute; Trinity College Dublin; Dublin Ireland
| | - P. Bede
- Quantitative Neuroimaging Group; Academic Unit of Neurology; Biomedical Sciences Institute; Trinity College Dublin; Dublin Ireland
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111
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Bede P, Iyer PM, Schuster C, Elamin M, Mclaughlin RL, Kenna K, Hardiman O. The selective anatomical vulnerability of ALS: 'disease-defining' and 'disease-defying' brain regions. Amyotroph Lateral Scler Frontotemporal Degener 2016; 17:561-570. [PMID: 27087114 DOI: 10.3109/21678421.2016.1173702] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
A large multiparametric MRI study has been undertaken to evaluate anatomical patterns of basal ganglia, white matter and cortical grey matter involvement in ALS. Unaffected brain regions are mapped in patients with significant disability. Multiple white matter diffusivity measures, cortical grey matter density alterations, basal ganglia volumes and subcortical grey matter atrophy patterns are evaluated. Results demonstrated a strikingly selective anatomical vulnerability pattern in ALS that preferentially affects specific grey matter structures, commissural white matter tracts and basal ganglia regions, suggestive of networkwise neurodegeneration in ALS. In conclusion, ALS pathology exhibits predilection for selective and inter-connected anatomical sites that can be comprehensively characterized in vivo by multiparametric neuroimaging. The systematic characterization of unaffected brain regions in ALS has implications for the development of classifier analyses and elucidation of disease biology. The involvement and sparing of contiguous brain regions raises important pathophysiological, phylogenetic and ontogenetic questions regarding ALS pathogenesis and disease spread.
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Affiliation(s)
- Peter Bede
- a Quantitative Neuroimaging Group, Academic Unit of Neurology , Biomedical Sciences Institute, Trinity College Dublin , Ireland
| | - Parameswaran M Iyer
- a Quantitative Neuroimaging Group, Academic Unit of Neurology , Biomedical Sciences Institute, Trinity College Dublin , Ireland
| | - Christina Schuster
- a Quantitative Neuroimaging Group, Academic Unit of Neurology , Biomedical Sciences Institute, Trinity College Dublin , Ireland
| | - Marwa Elamin
- a Quantitative Neuroimaging Group, Academic Unit of Neurology , Biomedical Sciences Institute, Trinity College Dublin , Ireland
| | - Russell L Mclaughlin
- a Quantitative Neuroimaging Group, Academic Unit of Neurology , Biomedical Sciences Institute, Trinity College Dublin , Ireland
| | - Kevin Kenna
- a Quantitative Neuroimaging Group, Academic Unit of Neurology , Biomedical Sciences Institute, Trinity College Dublin , Ireland
| | - Orla Hardiman
- a Quantitative Neuroimaging Group, Academic Unit of Neurology , Biomedical Sciences Institute, Trinity College Dublin , Ireland
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112
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Kassubek J, Müller HP. Computer-based magnetic resonance imaging as a tool in clinical diagnosis in neurodegenerative diseases. Expert Rev Neurother 2016; 16:295-306. [PMID: 26807776 DOI: 10.1586/14737175.2016.1146590] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Magnetic resonance imaging (MRI) is one of the core elements within the differential diagnostic work-up of patients with neurodegenerative diseases such as dementia syndromes, Parkinsonian syndromes, and motor neuron diseases. Currently, computerized MRI analyses are not routinely used for individual diagnosis; however, they have improved the anatomical understanding of pathomorphological alterations in various neurodegenerative diseases by quantitative comparisons between patients and controls at the group level. For multiparametric MRI protocols, including T1-weighted MRI, diffusion-weighted imaging, and intrinsic functional connectivity MRI, the potential as a surrogate marker is a subject of investigation. The additional value of MRI with respect to diagnosis at the individual level and for future disease-modifying multicentre trials remains to be defined. Here, we give an overview of recent applications of multiparametric MRI to patients with various neurodegenerative diseases. Starting from applications at the group level, continuous progress of a transfer to individual diagnostic classification is ongoing.
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Affiliation(s)
- Jan Kassubek
- a Department of Neurology , University of Ulm , Ulm , Germany
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113
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Agosta F, Ferraro PM, Riva N, Spinelli EG, Chiò A, Canu E, Valsasina P, Lunetta C, Iannaccone S, Copetti M, Prudente E, Comi G, Falini A, Filippi M. Structural brain correlates of cognitive and behavioral impairment in MND. Hum Brain Mapp 2016; 37:1614-26. [PMID: 26833930 DOI: 10.1002/hbm.23124] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Revised: 12/23/2015] [Accepted: 01/11/2016] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE To assess the structural correlates of cognitive and behavioral impairment in motor neuron diseases (MND) using multimodal MRI. METHODS One hundred one patients with sporadic MND (56 classic amyotrophic lateral sclerosis, 31 upper motor neuron phenotype, and 14 lower motor neuron phenotype) and 51 controls were enrolled. Patients were classified into MND with a pure motor syndrome (MND-motor) and with cognitive/behavioral symptoms (MND-plus). Cortical thickness measures and diffusion tensor (DT) metrics of white matter (WM) tracts were assessed. A random forest approach was used to explore the independent role of cortical and WM abnormalities in explaining major cognitive and behavioral symptoms. RESULTS There were 48 MND-motor and 53 MND-plus patients. Relative to controls, both patient groups showed a distributed cortical thinning of the bilateral precentral gyrus, insular and cingulate cortices, and frontotemporal regions. In all regions, there was a trend toward a more severe involvement in MND-plus cases, particularly in the temporal lobes. Both patient groups showed damage to the motor callosal fibers, which was more severe in MND-plus. MND-plus patients also showed a more severe involvement of the extra-motor WM tracts. The best predictors of executive and non-executive deficits and behavioral symptoms in MND were diffusivity abnormalities of the corpus callosum and frontotemporal tracts, including the uncinate, cingulum, and superior longitudinal fasciculi. CONCLUSIONS Cortical thinning and WM degeneration are highly associated with neuropsychological and behavioral symptoms in patients with MND. DT MRI metrics seem to be the most sensitive markers of extra-motor deficits within the MND spectrum.
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Affiliation(s)
- Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Pilar M Ferraro
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Nilo Riva
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Edoardo G Spinelli
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Adriano Chiò
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Center, University of Torino, Torino, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | | | - Sandro Iannaccone
- Department of Clinical Neurosciences, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimiliano Copetti
- Biostatistics Unit, IRCCS-Ospedale Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Foggia, Italy
| | - Evelina Prudente
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neuroradiology and CERMAC, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Giancarlo Comi
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Andrea Falini
- Serena Onlus Foundation, NEuroMuscular Omnicenter, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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114
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Prado LDGR, Bicalho ICS, Magalhães D, Caramelli P, Teixeira AL, de Souza LC. C9ORF72 and the FTD-ALS spectrum: A systematic review of neuroimaging studies. Dement Neuropsychol 2015; 9:413-421. [PMID: 29213991 PMCID: PMC5619324 DOI: 10.1590/1980-57642015dn94000413] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Objective To perform a systematic review of the literature on the neuroimaging
investigation of frontotemporal dementia (FTD) and amyotrophic lateral
sclerosis (ALS) associated with C9ORF72 mutation. Methods The search was performed on PubMed and LILACS with the following terms:
C9ORF72, MRI, SPECT, PET, ALS, FTD. No filters were
added. Results Twenty articles were selected. Most studies found consistent involvement of
frontotemporal regions in C9ORF72 carriers, including
prefrontal cortex, and also cingulate, subcortical regions, especially the
thalami, and posterior regions such as the parietal and occipital lobes.
Functional connectivity was also explored and impaired sensorimotor
connectivity in striatum and thalami was found in behavioral variant FTD
C9ORF72 carriers. Some papers have reported an absence
of significant abnormalities on brain imaging. Conclusion The inclusion of patients at different stages of the disease, differences in
neuroimaging methods across studies, and distinct clinical phenotypes
associated with C9ORF72 may account for the heterogeneity
of results.
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Affiliation(s)
- Laura de Godoy Rousseff Prado
- Postgraduate Program of Neuroscience, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.,Neuromuscular Diseases Center, Department of Neurology, University Hospital, UFMG
| | - Isabella Carolina Santos Bicalho
- Postgraduate Program of Neuroscience, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.,Neuromuscular Diseases Center, Department of Neurology, University Hospital, UFMG
| | - Daiane Magalhães
- Universidade José do Rosário Vellano - UNIFENAS, Belo Horizonte, MG, Brazil
| | - Paulo Caramelli
- Postgraduate Program of Neuroscience, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.,Internal Medicine Department, Medical School, UFMG.,Department of Neurology - University Hospital, UFMG
| | - Antônio Lúcio Teixeira
- Postgraduate Program of Neuroscience, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.,Neuromuscular Diseases Center, Department of Neurology, University Hospital, UFMG.,Internal Medicine Department, Medical School, UFMG.,Department of Neurology - University Hospital, UFMG
| | - Leonardo Cruz de Souza
- Postgraduate Program of Neuroscience, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.,Neuromuscular Diseases Center, Department of Neurology, University Hospital, UFMG.,Internal Medicine Department, Medical School, UFMG.,Department of Neurology - University Hospital, UFMG
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116
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Walhout R, Schmidt R, Westeneng HJ, Verstraete E, Seelen M, van Rheenen W, de Reus MA, van Es MA, Hendrikse J, Veldink JH, van den Heuvel MP, van den Berg LH. Brain morphologic changes in asymptomatic C9orf72 repeat expansion carriers. Neurology 2015; 85:1780-8. [PMID: 26497991 DOI: 10.1212/wnl.0000000000002135] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Accepted: 07/21/2015] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To investigate possible effects of the C9orf72 repeat expansion before disease onset, we assessed brain morphology in asymptomatic carriers. METHODS Aiming to diminish the effects of genetic variation between subjects, apart from the C9orf72 repeat expansion, 16 carriers of the repeat expansion were compared with 23 noncarriers from the same large family with a history of amyotrophic lateral sclerosis (ALS). Cortical thickness, subcortical volumes, and white matter connectivity, as assessed from high-resolution T1-weighted and diffusion-weighted MRIs, were evaluated. For comparison, we included 14 C9orf72 carriers with ALS and 28 healthy, unrelated controls. RESULTS We found temporal, parietal, and occipital regions to be thinner (p < 0.05) and the left caudate and putamen to be smaller (p < 0.05) in asymptomatic carriers compared with noncarriers. Cortical thinning of the primary motor cortex and decreased connectivity of white matter pathways (global, corticospinal tract, and corpus callosum) were observed in patients with C9orf72-associated ALS, but not in asymptomatic carriers. CONCLUSIONS Asymptomatic C9orf72 carriers show cortical and subcortical differences compared with noncarriers from the same family, possibly effects of the C9orf72 repeat expansion on the brain. Of note, changes in the primary motor regions and motor-related tracts were found exclusively in patients with ALS, indicating that such motor changes may be a disease phenomenon.
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Affiliation(s)
- Renée Walhout
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Ruben Schmidt
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Henk-Jan Westeneng
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Esther Verstraete
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Meinie Seelen
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Wouter van Rheenen
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Marcel A de Reus
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Michael A van Es
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Jeroen Hendrikse
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Jan H Veldink
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Martijn P van den Heuvel
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Leonard H van den Berg
- From the Departments of Neurology (R.W., R.S., H.J.W., E.V., M.S., W.v.R., M.A.v.E., J.H.V., L.H.v.d.B.), Psychiatry (M.A.d.R., M.P.v.d.H.), and Radiology (J.H.), Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands.
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Schuster C, Elamin M, Hardiman O, Bede P. Presymptomatic and longitudinal neuroimaging in neurodegeneration--from snapshots to motion picture: a systematic review. J Neurol Neurosurg Psychiatry 2015; 86:1089-96. [PMID: 25632156 DOI: 10.1136/jnnp-2014-309888] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2014] [Accepted: 01/07/2015] [Indexed: 12/11/2022]
Abstract
BACKGROUND Recent quantitative neuroimaging studies have been successful in capturing phenotype and genotype-specific changes in dementia syndromes, amyotrophic lateral sclerosis, Parkinson's disease and other neurodegenerative conditions. However, the majority of imaging studies are cross-sectional, despite the obvious superiority of longitudinal study designs in characterising disease trajectories, response to therapy, progression rates and evaluating the presymptomatic phase of neurodegenerative conditions. OBJECTIVES The aim of this work is to perform a systematic review of longitudinal imaging initiatives in neurodegeneration focusing on methodology, optimal statistical models, follow-up intervals, attrition rates, primary study outcomes and presymptomatic studies. METHODS Longitudinal imaging studies were identified from 'PubMed' and reviewed from 1990 to 2014. The search terms 'longitudinal', 'MRI', 'presymptomatic' and 'imaging' were utilised in combination with one of the following degenerative conditions; Alzheimer's disease, amyotrophic lateral sclerosis/motor neuron disease, frontotemporal dementia, Huntington's disease, multiple sclerosis, Parkinson's disease, ataxia, HIV, alcohol abuse/dependence. RESULTS A total of 423 longitudinal imaging papers and 103 genotype-based presymptomatic studies were identified and systematically reviewed. Imaging techniques, follow-up intervals and attrition rates showed significant variation depending on the primary diagnosis. Commonly used statistical models included analysis of annualised percentage change, mixed and random effect models, and non-linear cumulative models with acceleration-deceleration components. DISCUSSION AND CONCLUSIONS Although longitudinal imaging studies have the potential to provide crucial insights into the presymptomatic phase and natural trajectory of neurodegenerative processes a standardised design is required to enable meaningful data interpretation.
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Affiliation(s)
- Christina Schuster
- Quantitative Neuroimaging Group, Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Marwa Elamin
- Quantitative Neuroimaging Group, Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Orla Hardiman
- Quantitative Neuroimaging Group, Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Peter Bede
- Quantitative Neuroimaging Group, Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Ireland
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118
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Machts J, Loewe K, Kaufmann J, Jakubiczka S, Abdulla S, Petri S, Dengler R, Heinze HJ, Vielhaber S, Schoenfeld MA, Bede P. Basal ganglia pathology in ALS is associated with neuropsychological deficits. Neurology 2015; 85:1301-9. [DOI: 10.1212/wnl.0000000000002017] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Accepted: 06/18/2015] [Indexed: 12/12/2022] Open
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119
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Motor and extra-motor gray matter atrophy in amyotrophic lateral sclerosis: quantitative meta-analyses of voxel-based morphometry studies. Neurobiol Aging 2015; 36:3288-3299. [PMID: 26362941 DOI: 10.1016/j.neurobiolaging.2015.08.018] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Revised: 08/11/2015] [Accepted: 08/14/2015] [Indexed: 02/05/2023]
Abstract
Considerable evidence from previous voxel-based morphometry studies indicates widespread but heterogeneous gray matter (GM) deficits in amyotrophic lateral sclerosis (ALS). Here, we aimed to investigate the concurrence across voxel-based morphometry studies to help clarify the spatial pattern of GM abnormalities that underlie this condition. Comprehensive meta-analyses to assess regional GM anomalies in ALS were conducted with the Anisotropic Effect Size version of Signed Differential Mapping software package. Twenty studies, which reported 22 comparisons and were composed of 454 ALS patients and 426 healthy controls, were included in the meta-analyses. Regional GM atrophy in ALS was consistently found in the frontal, temporal, and somatosensory areas. Meta-regression demonstrated that the disease duration, disease severity, and age were significantly related to GM deficits in ALS patients. The present meta-analysis provides convergent evidence that ALS is a multisystem degenerative disorder that is accompanied by a unique and widespread pattern of robust cortical GM atrophy. Future studies should investigate whether this atrophy pattern is a diagnostic and prognostic marker.
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120
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Burke T, Wynne B, O'Brien C, Elamin M, Bede P, Hardiman O, Pender N. Retrospective investigations of practice effects on repeated neuropsychological measures of executive functioning. ACTA ACUST UNITED AC 2015. [DOI: 10.1080/03033910.2015.1044554] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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121
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Abstract
Amyotrophic lateral sclerosis (ALS) is now recognised to be a heterogeneous neurodegenerative syndrome of the motor system and its frontotemporal cortical connections. The development and application of structural and functional imaging over the last three decades, in particular magnetic resonance imaging (MRI), has allowed traditional post mortem histopathological and emerging molecular findings in ALS to be placed in a clinical context. Cerebral grey and white matter structural MRI changes are increasingly being understood in terms of brain connectivity, providing insights into the advancing degenerative process and producing candidate biomarkers. Such markers may refine the prognostic stratification of patients and the diagnostic pathway, as well as providing an objective assessment of changes in disease activity in response to future therapeutic agents. Studies are being extended to the spinal cord, and the application of neuroimaging to unaffected carriers of highly penetrant genetic mutations linked to the development of ALS offers a unique window to the pre-symptomatic landscape.
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Affiliation(s)
- Martin R. Turner
- />Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- />John Radcliffe Hospital, West Wing Level 3, Oxford, OX3 9DU UK
| | - Esther Verstraete
- />University of Utrecht, Utrecht, Netherlands
- />University Medical Center, Heidelberglaan 100, Utrecht, Netherlands
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De Marco M, Merico A, Berta G, Segato N, Citton V, Baglione A, Venneri A. Morphometric correlates of dysarthric deficit in amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2015; 16:464-72. [DOI: 10.3109/21678421.2015.1056191] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Matteo De Marco
- San Camillo Hospital Foundation, Venice Lido, Venice, Italy
- Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Antonio Merico
- San Camillo Hospital Foundation, Venice Lido, Venice, Italy
| | - Giulia Berta
- San Camillo Hospital Foundation, Venice Lido, Venice, Italy
| | | | | | | | - Annalena Venneri
- San Camillo Hospital Foundation, Venice Lido, Venice, Italy
- Department of Neuroscience, University of Sheffield, Sheffield, UK
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123
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Ahmed RM, Newcombe REA, Piper AJ, Lewis SJ, Yee BJ, Kiernan MC, Grunstein RR. Sleep disorders and respiratory function in amyotrophic lateral sclerosis. Sleep Med Rev 2015; 26:33-42. [PMID: 26166297 DOI: 10.1016/j.smrv.2015.05.007] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Revised: 05/07/2015] [Accepted: 05/20/2015] [Indexed: 12/11/2022]
Abstract
Sleep disorders in amyotrophic lateral sclerosis (ALS) present a significant challenge to the management of patients. Issues include the maintenance of adequate ventilatory status through techniques such as non-invasive ventilation, which has the ability to modulate survival and improve patient quality of life. Here, a multidisciplinary approach to the management of these disorders is reviewed, from concepts about the underlying neurobiological basis, through to current management approaches and future directions for research.
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Affiliation(s)
- Rebekah M Ahmed
- Brain and Mind Research Institute and Department of Neurology Royal Prince Alfred Hospital, University of Sydney, Sydney, New South Wales, Australia.
| | - Rowena E A Newcombe
- NHMRC Centre for Integrated Research and Understanding of Sleep (CIRUS), Woolcock Institute of Medical Research and NeuroSleep NHMRC Centre for Research Excellence, Australia
| | - Amanda J Piper
- NHMRC Centre for Integrated Research and Understanding of Sleep (CIRUS), Woolcock Institute of Medical Research and NeuroSleep NHMRC Centre for Research Excellence, Australia; Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney Local Health District, Australia
| | - Simon J Lewis
- Brain and Mind Research Institute and Department of Neurology Royal Prince Alfred Hospital, University of Sydney, Sydney, New South Wales, Australia; NHMRC Centre for Integrated Research and Understanding of Sleep (CIRUS), Woolcock Institute of Medical Research and NeuroSleep NHMRC Centre for Research Excellence, Australia
| | - Brendon J Yee
- NHMRC Centre for Integrated Research and Understanding of Sleep (CIRUS), Woolcock Institute of Medical Research and NeuroSleep NHMRC Centre for Research Excellence, Australia; Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney Local Health District, Australia
| | - Matthew C Kiernan
- Brain and Mind Research Institute and Department of Neurology Royal Prince Alfred Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - Ron R Grunstein
- NHMRC Centre for Integrated Research and Understanding of Sleep (CIRUS), Woolcock Institute of Medical Research and NeuroSleep NHMRC Centre for Research Excellence, Australia; Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney Local Health District, Australia
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124
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Agosta F, Weiler M, Filippi M. Propagation of pathology through brain networks in neurodegenerative diseases: from molecules to clinical phenotypes. CNS Neurosci Ther 2015; 21:754-67. [PMID: 26031656 DOI: 10.1111/cns.12410] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 04/29/2015] [Accepted: 04/30/2015] [Indexed: 12/11/2022] Open
Abstract
The cellular mechanisms underlying the stereotypical progression of pathology in neurodegenerative diseases are incompletely understood, but increasing evidence indicates that misfolded protein aggregates can spread by a self-perpetuating neuron-to-neuron transmission. Novel neuroimaging techniques can help elucidating how these disorders spread across brain networks. Recent knowledge from structural and functional connectivity studies suggests that the relation between neurodegenerative diseases and distinct brain networks is likely to be a strict consequence of diffuse network dynamics. Diffusion tensor magnetic resonance imaging also showed that measurement of white matter tract involvement can be a valid surrogate to assess the in vivo spreading of pathological proteins in these conditions. This review will introduce briefly the main molecular and pathological substrates of the most frequent neurodegenerative diseases and provide a comprehensive overview of neuroimaging findings that support the "network-based neurodegeneration" hypothesis in these disorders. Characterizing network breakdown in neurodegenerative diseases will help anticipate and perhaps prevent the devastating impact of these conditions.
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Affiliation(s)
- Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Marina Weiler
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Laboratory of Neuroimaging, University of Campinas, Campinas, Brazil
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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125
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Devenney E, Vucic S, Hodges JR, Kiernan MC. Motor neuron disease-frontotemporal dementia: a clinical continuum. Expert Rev Neurother 2015; 15:509-22. [DOI: 10.1586/14737175.2015.1034108] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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126
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Bede P, Elamin M, Byrne S, McLaughlin RL, Kenna K, Vajda A, Fagan A, Bradley DG, Hardiman O. Patterns of cerebral and cerebellar white matter degeneration in ALS. J Neurol Neurosurg Psychiatry 2015; 86:468-70. [PMID: 25053771 PMCID: PMC4392231 DOI: 10.1136/jnnp-2014-308172] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- P Bede
- Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - M Elamin
- Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - S Byrne
- Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - R L McLaughlin
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - K Kenna
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - A Vajda
- Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - A Fagan
- Centre for Advanced Medical Imaging, St James's Hospital and Trinity College Dublin, Dublin, Ireland
| | - D G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - O Hardiman
- Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
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McMillan CT, Russ J, Wood EM, Irwin DJ, Grossman M, McCluskey L, Elman L, Van Deerlin V, Lee EB. C9orf72 promoter hypermethylation is neuroprotective: Neuroimaging and neuropathologic evidence. Neurology 2015; 84:1622-30. [PMID: 25795648 DOI: 10.1212/wnl.0000000000001495] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Accepted: 12/05/2014] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To use in vivo neuroimaging and postmortem neuropathologic analysis in C9orf72 repeat expansion patients to investigate the hypothesis that C9orf72 promoter hypermethylation is neuroprotective and regionally selective. METHODS Twenty patients with a C9orf72 repeat expansion participating in a high-resolution MRI scan and a clinical examination and a subset of patients (n = 11) were followed longitudinally with these measures. Gray matter (GM) density was related to C9orf72 promoter hypermethylation using permutation-based testing. Regional neuronal loss was measured in an independent autopsy series (n = 35) of C9orf72 repeat expansion patients. RESULTS GM analysis revealed that hippocampus, frontal cortex, and thalamus are associated with hypermethylation and thus appear to be relatively protected from mutant C9orf72. Neuropathologic analysis demonstrated an association between reduced neuronal loss and hypermethylation in hippocampus and frontal cortex. Longitudinal neuroimaging revealed that hypermethylation is associated with reduced longitudinal decline in GM regions protected by hypermethylation and longitudinal neuropsychological assessment demonstrated that longitudinal decline in verbal recall is protected by hypermethylation. CONCLUSIONS These cross-sectional and longitudinal neuroimaging studies, along with neuropathologic validation studies, provide converging evidence for neuroprotective properties of C9orf72 promoter hypermethylation. These findings converge with prior postmortem studies suggesting that C9orf72 promoter hypermethylation may be a neuroprotective target for drug discovery.
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Affiliation(s)
- Corey T McMillan
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Jenny Russ
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Elisabeth M Wood
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - David J Irwin
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Murray Grossman
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Leo McCluskey
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Lauren Elman
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Vivanna Van Deerlin
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Edward B Lee
- From the Penn Frontotemporal Degeneration Center (C.T.M., D.J.I., M.G.), Penn Medicine Neuroscience Center at Pennsylvania Hospital (L.M., L.E.), Department of Neurology (C.T.M., D.J.I., M.G., L.M., L.E.), Translational Neuropathology Research Laboratory (J.R., E.B.L.), Center for Neurodegenerative Disease Research, Department of Pathology & Laboratory Medicine (E.M.W., D.J.I., V.V.D.), Institute for Translation Medicine & Therapeutics (C.T.M., D.J.I.), the University of Pennsylvania Perelman School of Medicine, Philadelphia.
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Chiò A, Pagani M, Agosta F, Calvo A, Cistaro A, Filippi M. Neuroimaging in amyotrophic lateral sclerosis: insights into structural and functional changes. Lancet Neurol 2014; 13:1228-40. [PMID: 25453462 DOI: 10.1016/s1474-4422(14)70167-x] [Citation(s) in RCA: 166] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
In the past two decades, structural and functional neuroimaging findings have greatly modified longstanding notions regarding the pathophysiology of amyotrophic lateral sclerosis (ALS). Neuroimaging studies have shown that anatomical and functional lesions spread beyond precentral cortices and corticospinal tracts, to include the corpus callosum; frontal, sensory, and premotor cortices; thalamus; and midbrain. Both MRI and PET studies have shown early and diffuse loss of inhibitory cortical interneurons in the motor cortex (increased levels of functional connectivity and loss of GABAergic neurons, respectively) and diffuse gliosis in white-matter tracts. In ALS endophenotypes, neuroimaging has also shown a diverse spreading of lesions and a dissimilar impairment of functional and structural connections. A possible role of PET in the diagnosis of ALS has recently been proposed. However, most neuroimaging studies have pitfalls, such as a small number and poor clinical characterisation of patients, absence of adequate controls, and scarcity of longitudinal assessments. Studies involving international collaborations, standardised assessments, and large patient cohorts will overcome these shortcomings and provide further insight into the pathogenesis of ALS.
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Affiliation(s)
- Adriano Chiò
- ALS Center, "Rita Levi Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.
| | - Marco Pagani
- Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche (CNR), Rome, Italy; Department of Nuclear Medicine, Karolinska Hospital, Stockholm, Sweden
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Andrea Calvo
- ALS Center, "Rita Levi Montalcini" Department of Neuroscience, University of Turin, Turin, Italy
| | - Angelina Cistaro
- Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche (CNR), Rome, Italy; Positron Emission Tomography Center IRMET S.p.A, Euromedic Inc, Torino, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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131
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Mendez EF, Sattler R. Biomarker development for C9orf72 repeat expansion in ALS. Brain Res 2014; 1607:26-35. [PMID: 25261695 DOI: 10.1016/j.brainres.2014.09.041] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2014] [Revised: 09/09/2014] [Accepted: 09/16/2014] [Indexed: 12/11/2022]
Abstract
The expanded GGGGCC hexanucleotide repeat in the non-coding region of the C9orf72 gene on chromosome 9p21 has been discovered as the cause of approximately 20-50% of familial and up to 5-20% of sporadic amyotrophic lateral sclerosis (ALS) cases, making this the most common known genetic mutation of ALS to date. At the same time, it represents the most common genetic mutation in frontotemporal dementia (FTD; 10-30%). Because of the high prevalence of mutant C9orf72, pre-clinical efforts in identifying therapeutic targets and developing novel therapeutics for this mutation are highly pursued in the hope of providing a desperately needed disease-modifying treatment for ALS patients, as well as other patient populations affected by the C9orf72 mutation. The current lack of effective treatments for ALS is partially due to the lack of appropriate biomarkers that aide in assessing drug efficacy during clinical trials independent of clinical outcome measures, such as increased survival. In this review we will summarize the opportunities for biomarker development specifically targeted to the newly discovered C9orf72 repeat expansion. While drugs are being developed for this mutation, it will be crucial to provide a reliable biomarker to accompany the clinical development of these novel therapeutic interventions to maximize the chances of a successful clinical trial. This article is part of a Special Issue entitled ALS complex pathogenesis.
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Affiliation(s)
- Emily F Mendez
- Brain Science Institute and Department of Neurology, Johns Hopkins University School of Medicine, 855N Wolfe Street, Rangos 2-223, Baltimore, MD 21205, USA
| | - Rita Sattler
- Brain Science Institute and Department of Neurology, Johns Hopkins University School of Medicine, 855N Wolfe Street, Rangos 2-223, Baltimore, MD 21205, USA.
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Menke RAL, Körner S, Filippini N, Douaud G, Knight S, Talbot K, Turner MR. Widespread grey matter pathology dominates the longitudinal cerebral MRI and clinical landscape of amyotrophic lateral sclerosis. ACTA ACUST UNITED AC 2014; 137:2546-55. [PMID: 24951638 PMCID: PMC4132644 DOI: 10.1093/brain/awu162] [Citation(s) in RCA: 141] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Menke/Koerner et al. use structural MRI to explore the extent of longitudinal changes in cerebral pathology in amyotrophic lateral sclerosis, and their relationship to clinical features. A characteristic white matter tract pathological signature is seen cross-sectionally, while cortical involvement dominates longitudinally. This has implications for the development of biomarkers for diagnosis versus therapeutic monitoring. Diagnosis, stratification and monitoring of disease progression in amyotrophic lateral sclerosis currently rely on clinical history and examination. The phenotypic heterogeneity of amyotrophic lateral sclerosis, including extramotor cognitive impairments is now well recognized. Candidate biomarkers have shown variable sensitivity and specificity, and studies have been mainly undertaken only cross-sectionally. Sixty patients with sporadic amyotrophic lateral sclerosis (without a family history of amyotrophic lateral sclerosis or dementia) underwent baseline multimodal magnetic resonance imaging at 3 T. Grey matter pathology was identified through analysis of T1-weighted images using voxel-based morphometry. White matter pathology was assessed using tract-based spatial statistics analysis of indices derived from diffusion tensor imaging. Cross-sectional analyses included group comparison with a group of healthy controls (n = 36) and correlations with clinical features, including regional disability, clinical upper motor neuron signs and cognitive impairment. Patients were offered 6-monthly follow-up MRI, and the last available scan was used for a separate longitudinal analysis (n = 27). In cross-sectional study, the core signature of white matter pathology was confirmed within the corticospinal tract and callosal body, and linked strongly to clinical upper motor neuron burden, but also to limb disability subscore and progression rate. Localized grey matter abnormalities were detected in a topographically appropriate region of the left motor cortex in relation to bulbar disability, and in Broca’s area and its homologue in relation to verbal fluency. Longitudinal analysis revealed progressive and widespread changes in the grey matter, notably including the basal ganglia. In contrast there was limited white matter pathology progression, in keeping with a previously unrecognized limited change in individual clinical upper motor neuron scores, despite advancing disability. Although a consistent core white matter pathology was found cross-sectionally, grey matter pathology was dominant longitudinally, and included progression in clinically silent areas such as the basal ganglia, believed to reflect their wider cortical connectivity. Such changes were significant across a range of apparently sporadic patients rather than being a genotype-specific effect. It is also suggested that the upper motor neuron lesion in amyotrophic lateral sclerosis may be relatively constant during the established symptomatic period. These findings have implications for the development of effective diagnostic versus therapeutic monitoring magnetic resonance imaging biomarkers. Amyotrophic lateral sclerosis may be characterized initially by a predominantly white matter tract pathological signature, evolving as a widespread cortical network degeneration.
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Affiliation(s)
- Ricarda A L Menke
- 1 Oxford Centre for Functional Magnetic Resonance of the Brain, University of Oxford, UK2 Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Sonja Körner
- 3 Department of Neurology, Hannover Medical School, Germany
| | - Nicola Filippini
- 1 Oxford Centre for Functional Magnetic Resonance of the Brain, University of Oxford, UK4 Department of Psychiatry, University of Oxford, UK
| | - Gwenaëlle Douaud
- 1 Oxford Centre for Functional Magnetic Resonance of the Brain, University of Oxford, UK2 Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Steven Knight
- 5 Oxford Centre for Magnetic Resonance Imaging Research, University of Oxford, UK
| | - Kevin Talbot
- 2 Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Martin R Turner
- 1 Oxford Centre for Functional Magnetic Resonance of the Brain, University of Oxford, UK2 Nuffield Department of Clinical Neurosciences, University of Oxford, UK5 Oxford Centre for Magnetic Resonance Imaging Research, University of Oxford, UK
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Neuroimaging to investigate multisystem involvement and provide biomarkers in amyotrophic lateral sclerosis. BIOMED RESEARCH INTERNATIONAL 2014; 2014:467560. [PMID: 24949452 PMCID: PMC4052676 DOI: 10.1155/2014/467560] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2014] [Accepted: 03/25/2014] [Indexed: 12/11/2022]
Abstract
Neuroimaging allows investigating the extent of neurological systems degeneration in amyotrophic lateral sclerosis (ALS). Advanced MRI methods can detect changes related to the degeneration of upper motor neurons but have also demonstrated the participation of other systems such as the sensory system or basal ganglia, demonstrating in vivo that ALS is a multisystem disorder. Structural and functional imaging also allows studying dysfunction of brain areas associated with cognitive signs. From a biomarker perspective, numerous studies using diffusion tensor imaging showed a decrease of fractional anisotropy in the intracranial portion of the corticospinal tract but its diagnostic value at the individual level remains limited. A multiparametric approach will be required to use MRI in the diagnostic workup of ALS. A promising avenue is the new methodological developments of spinal cord imaging that has the advantage to investigate the two motor system components that are involved in ALS, that is, the lower and upper motor neuron. For all neuroimaging modalities, due to the intrinsic heterogeneity of ALS, larger pooled banks of images with standardized image acquisition and analysis procedures are needed. In this paper, we will review the main findings obtained with MRI, PET, SPECT, and nuclear magnetic resonance spectroscopy in ALS.
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134
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Kassubek J, Müller HP, Del Tredici K, Brettschneider J, Pinkhardt EH, Lulé D, Böhm S, Braak H, Ludolph AC. Diffusion tensor imaging analysis of sequential spreading of disease in amyotrophic lateral sclerosis confirms patterns of TDP-43 pathology. Brain 2014; 137:1733-40. [PMID: 24736303 DOI: 10.1093/brain/awu090] [Citation(s) in RCA: 151] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Diffusion tensor imaging can identify amyotrophic lateral sclerosis-associated patterns of brain alterations at the group level. Recently, a neuropathological staging system for amyotrophic lateral sclerosis has shown that amyotrophic lateral sclerosis may disseminate in a sequential regional pattern during four disease stages. The objective of the present study was to apply a new methodological diffusion tensor imaging-based approach to automatically analyse in vivo the fibre tracts that are prone to be involved at each neuropathological stage of amyotrophic lateral sclerosis. Two data samples, consisting of 130 diffusion tensor imaging data sets acquired at 1.5 T from 78 patients with amyotrophic lateral sclerosis and 52 control subjects; and 55 diffusion-tensor imaging data sets at 3.0 T from 33 patients with amyotrophic lateral sclerosis and 22 control subjects, were analysed by a tract of interest-based fibre tracking approach to analyse five tracts that become involved during the course of amyotrophic lateral sclerosis: the corticospinal tract (stage 1); the corticorubral and the corticopontine tracts (stage 2); the corticostriatal pathway (stage 3); the proximal portion of the perforant path (stage 4); and two reference pathways. The statistical analyses of tracts of interest showed differences between patients with amyotrophic lateral sclerosis and control subjects for all tracts. The significance level of the comparisons at the group level was lower, the higher the disease stage with corresponding involved fibre tracts. Both the clinical phenotype as assessed by the amyotrophic lateral sclerosis functional rating scale-revised and disease duration correlated significantly with the resulting staging scheme. In summary, the tract of interest-based technique allowed for individual analysis of predefined tract structures, thus making it possible to image in vivo the disease stages in amyotrophic lateral sclerosis. This approach can be used not only for individual clinical work-up purposes, but enlarges the spectrum of potential non-invasive surrogate markers as a neuroimaging-based read-out for amyotrophic lateral sclerosis studies within a clinical context.
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Affiliation(s)
- Jan Kassubek
- 1 Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Kelly Del Tredici
- 2 Section Clinical Neuroanatomy, Department of Neurology, University of Ulm, Ulm, Germany
| | - Johannes Brettschneider
- 1 Department of Neurology, University of Ulm, Ulm, Germany2 Section Clinical Neuroanatomy, Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Dorothée Lulé
- 1 Department of Neurology, University of Ulm, Ulm, Germany
| | - Sarah Böhm
- 1 Department of Neurology, University of Ulm, Ulm, Germany
| | - Heiko Braak
- 2 Section Clinical Neuroanatomy, Department of Neurology, University of Ulm, Ulm, Germany
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Yokoyama JS, Sirkis DW, Miller BL. C9ORF72 hexanucleotide repeats in behavioral and motor neuron disease: clinical heterogeneity and pathological diversity. AMERICAN JOURNAL OF NEURODEGENERATIVE DISEASE 2014; 3:1-18. [PMID: 24753999 PMCID: PMC3986607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 02/10/2014] [Accepted: 03/10/2014] [Indexed: 06/03/2023]
Abstract
Hexanucleotide repeat expansion in C9ORF72 is the most common genetic cause of frontotemporal dementia (FTD), a predominantly behavioral disease, and amyotrophic lateral sclerosis (ALS), a disease of motor neurons. The primary objectives of this review are to highlight the clinical heterogeneity associated with C9ORF72 pathogenic expansion and identify potential molecular mechanisms underlying selective vulnerability of distinct neural populations. The proposed mechanisms by which C9ORF72 expansion causes behavioral and motor neuron disease highlight the emerging role of impaired RNA and protein homeostasis in a spectrum of neurodegeneration and strengthen the biological connection between FTD and ALS.
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Affiliation(s)
| | - Daniel W Sirkis
- Department of Molecular and Cell Biology and Howard Hughes Medical Institute, University of California at BerkeleyBerkeley, CA, USA
| | - Bruce L Miller
- Department of Neurology, University of CaliforniaSan Francisco, CA, USA
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Proudfoot M, Gutowski NJ, Edbauer D, Hilton DA, Stephens M, Rankin J, Mackenzie IRA. Early dipeptide repeat pathology in a frontotemporal dementia kindred with C9ORF72 mutation and intellectual disability. Acta Neuropathol 2014; 127:451-8. [PMID: 24445903 DOI: 10.1007/s00401-014-1245-7] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 01/08/2014] [Indexed: 12/12/2022]
Abstract
Familial cases of frontotemporal dementia (FTD) provide an opportunity to study the pathophysiology of this clinically diverse condition. The C9ORF72 mutation is the most common cause of familial FTD, recent pathological descriptions challenge existing TDP-43 based hypotheses of sporadic FTD pathogenesis. Non-ATG dependent translation of the hexanucleotide expansion into aggregating dipeptide repeat (DPR) proteins may represent a novel pathomechanism. We report detection of the DPR aggregates very early in C9ORF72 FTD development and also describe childhood intellectual disability as a clinical feature preceding dementia. The index case presented with psychiatric symptoms, progressing into typical FTD. Autopsy revealed extensive neuronal DPR aggregates but only minimal TDP-43 pathology. Her intellectually disabled elder son, also carrying the C9ORF72 mutation, died aged 26 years and at autopsy only DPR aggregates without TDP-43 were found. A second son also has intellectual disability, his C9ORF72 status is unknown, but chromosomal microarray revealed no other cause of disability. These cases both extend the existing phenotype of C9ORF72 mutation and highlight the potential significance of DPR translation early in disease development.
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Affiliation(s)
- Malcolm Proudfoot
- Department of Neurology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK,
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Woollacott IOC, Mead S. The C9ORF72 expansion mutation: gene structure, phenotypic and diagnostic issues. Acta Neuropathol 2014; 127:319-32. [PMID: 24515836 DOI: 10.1007/s00401-014-1253-7] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Revised: 01/27/2014] [Accepted: 01/28/2014] [Indexed: 12/11/2022]
Abstract
The discovery of the C9ORF72 hexanucleotide repeat expansion in 2011 and the immediate realisation of a remarkably high prevalence in both familial and sporadic frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS) triggered an explosion of interest in studies aiming to define the associated clinical and investigation phenotypes and attempts to develop technologies to measure more accurately the size of the repeat region. This article reviews progress in these areas over the subsequent 2 years, focussing on issues directly relevant to the practising physician. First, we summarise findings from studies regarding the global prevalence of the expansion, not only in FTLD and ALS cases, but also in other neurological diseases and its concurrence with other genetic mutations associated with FTLD and ALS. Second, we discuss the variability in normal repeat number in cases and controls and the theories regarding the relevance of intermediate and pathological repeat number for disease risk and clinical phenotype. Third, we discuss the usefulness of various features within the FTLD and ALS clinical phenotype in aiding differentiation between cases with and without the C9ORF72 expansion. Fourth, we review clinical investigations used to identify cases with the expansion, including neuroimaging and cerebrospinal fluid markers, and describe the mechanisms and limitations of the various diagnostic laboratory techniques used to quantify repeat number in cases and controls. Finally, we discuss the issues surrounding accurate clinical and technological diagnosis of patients with FTLD and/or ALS associated with the C9ORF72 expansion, and outline areas for future research that might aid better diagnosis and genetic counselling of patients with seemingly sporadic or familial FTLD or ALS and their relatives.
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Affiliation(s)
- Ione O C Woollacott
- MRC Prion Unit, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
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138
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Lessons of ALS imaging: Pitfalls and future directions - A critical review. NEUROIMAGE-CLINICAL 2014; 4:436-43. [PMID: 24624329 PMCID: PMC3950559 DOI: 10.1016/j.nicl.2014.02.011] [Citation(s) in RCA: 90] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/22/2013] [Revised: 02/23/2014] [Accepted: 02/23/2014] [Indexed: 12/19/2022]
Abstract
Background While neuroimaging in ALS has gained unprecedented momentum in recent years, little progress has been made in the development of viable diagnostic, prognostic and monitoring markers. Objectives To identify and discuss the common pitfalls in ALS imaging studies and to reflect on optimal study designs based on pioneering studies. Methods A “PubMed”-based literature search on ALS was performed based on neuroimaging-related keywords. Study limitations were systematically reviewed and classified so that stereotypical trends could be identified. Results Common shortcomings, such as relatively small sample sizes, statistically underpowered study designs, lack of disease controls, poorly characterised patient cohorts and a large number of conflicting studies, remain a significant challenge to the field. Imaging data of ALS continue to be interpreted at a group-level, as opposed to meaningful individual-patient inferences. Conclusions A systematic, critical review of ALS imaging has identified stereotypical shortcomings, the lessons of which should be considered in the design of future prospective MRI studies. At a time when large multicentre studies are underway a candid discussion of these factors is particularly timely. Stereotypical shortcomings can be identified in ALS neuroimaging studies. A systematic discussion of ALS study limitations is particularly timely. Individual patient data meta-analyses and multicentre studies are urgently required. The gaps identified in ALS imaging indicate exciting research opportunities.
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Key Words
- AD, axial diffusivity
- Amyotrophic lateral sclerosis
- Biomarker
- C9orf72, chromosome 9 open reading frame 72
- DTI, diffusion tensor imaging
- FA, fractional anisotropy
- MD, mean diffusivity
- MEG, magnetoencephalography
- MRI
- MRS, magnetic resonance spectroscopy
- MUNE, motor unit number estimation
- PET
- PET, positron emission tomography
- PNS, peripheral nervous system
- RD, radial diffusivity
- ROI, region of interest
- SPECT, single photon emission computed tomography
- Spectroscopy
- TMS, transcranial magnetic stimulation
- VBM, voxel-based morphometry
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The metabolic signature of C9ORF72-related ALS: FDG PET comparison with nonmutated patients. Eur J Nucl Med Mol Imaging 2014; 41:844-52. [PMID: 24445987 DOI: 10.1007/s00259-013-2667-5] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Accepted: 12/05/2013] [Indexed: 10/25/2022]
Abstract
PURPOSE Recently, a GGGGCC hexanucleotide repeat expansion in the C9ORF72 gene, located on chromosome 9p21 has been demonstrated to be the commonest cause of familial amyotrophic lateral sclerosis (ALS) and to account for 5 to 10 % of apparently sporadic ALS. Relatively little is known about the brain metabolism profile of patients carrying the expansion. Our aim was to identify the [(18)F]FDG PET profile in ALS patients with the C9ORF72 expansion (C9ORF72-ALS). METHODS Fifteen C9ORF72-ALS patients were compared with 12 patients with ALS and comorbid frontotemporal dementia (FTD) without the C9ORF72 expansion (ALS-FTD) and 30 cognitively normal patients with ALS without mutations of ALS-related genes (sALS). The three groups were then cross-matched to 40 neurologically normal controls. All patients underwent FDG PET within 4 months of diagnosis. RESULTS The C9ORF72-ALS patients compared with the sALS patients showed significant hypometabolism in the anterior and posterior cingulate cortex, insula, caudate and thalamus, the left frontal and superior temporal cortex, and hypermetabolism in the midbrain, bilateral occipital cortex, globus pallidus and left inferior temporal cortex. The ALS-FTD patients compared with the sALS patients showed more limited hypometabolic areas, including the orbitofrontal, prefrontal, anterior cingulate and insular cortex, and hypermetabolic areas, including the bilateral occipital cortex, the left precentral and postcentral cortex and superior temporal gyrus. The C9ORF72-ALS patients compared with the ALS-FTD patients showed hypometabolism in the left temporal cortex. CONCLUSION ALS patients with the C9ORF72 hexanucleotide repeat expansion had a more widespread central nervous system involvement than ALS patients without genetic mutations, with or without comorbid FTD, consistent with their more severe clinical picture.
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Mezzapesa DM, D’Errico E, Tortelli R, Distaso E, Cortese R, Tursi M, Federico F, Zoccolella S, Logroscino G, Dicuonzo F, Simone IL. Cortical thinning and clinical heterogeneity in amyotrophic lateral sclerosis. PLoS One 2013; 8:e80748. [PMID: 24278317 PMCID: PMC3835750 DOI: 10.1371/journal.pone.0080748] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Accepted: 10/07/2013] [Indexed: 12/14/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) has heterogeneous clinical features that could be translated into specific patterns of brain atrophy. In the current study we have evaluated the relationship between different clinical expressions of classical ALS and measurements of brain cortical thickness. Cortical thickness analysis was conducted from 3D-MRI using FreeSurfer software in 29 ALS patients and 20 healthy controls. We explored three clinical traits of the disease, subdividing the patients into two groups for each of them: the bulbar or spinal onset, the higher or lower upper motor neuron burden, the faster or slower disease progression. We used both a whole brain vertex-wise analysis and a ROI analysis on primary motor areas. ALS patients showed cortical thinning in bilateral precentral gyrus, bilateral middle frontal gyrus, right superior temporal gyrus and right occipital cortex. ALS patients with higher upper motor neuron burden showed a significant cortical thinning in the right precentral gyrus and in other frontal extra-motor areas, compared to healthy controls. ALS patients with spinal onset showed a significant cortical thinning in the right precentral gyrus and paracentral lobule, compared to healthy controls. ALS patients with faster progressive disease showed a significant cortical thinning in widespread bilateral frontal and temporal areas, including the bilateral precentral gyrus, compared to healthy controls. Focusing on the primary motor areas, the ROI analysis revealed that the mean cortical thickness values were significantly reduced in ALS patients with higher upper motor neuron burden, spinal onset and faster disease progression related to healthy controls. In conclusion, the thickness of primary motor cortex could be a useful surrogate marker of upper motor neuron involvement in ALS; also our results suggest that cortical thinning in motor and non motor areas seem to reflect the clinical heterogeneity of the disease.
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Affiliation(s)
- Domenico Maria Mezzapesa
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Eustachio D’Errico
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Rosanna Tortelli
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Eugenio Distaso
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Rosa Cortese
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Marianna Tursi
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Francesco Federico
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Stefano Zoccolella
- Neurophysiopathology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Giancarlo Logroscino
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Franca Dicuonzo
- Neuroradiology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
| | - Isabella Laura Simone
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
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