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Dharmadasa T, Pavey N, Tu S, Menon P, Huynh W, Mahoney CJ, Timmins HC, Higashihara M, van den Bos M, Shibuya K, Kuwabara S, Grosskreutz J, Kiernan MC, Vucic S. Novel approaches to assessing upper motor neuron dysfunction in motor neuron disease/amyotrophic lateral sclerosis: IFCN handbook chapter. Clin Neurophysiol 2024; 163:68-89. [PMID: 38705104 DOI: 10.1016/j.clinph.2024.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 02/08/2024] [Accepted: 04/14/2024] [Indexed: 05/07/2024]
Abstract
Identifying upper motor neuron (UMN) dysfunction is fundamental to the diagnosis and understanding of disease pathogenesis in motor neuron disease (MND). The clinical assessment of UMN dysfunction may be difficult, particularly in the setting of severe muscle weakness. From a physiological perspective, transcranial magnetic stimulation (TMS) techniques provide objective biomarkers of UMN dysfunction in MND and may also be useful to interrogate cortical and network function. Single, paired- and triple pulse TMS techniques have yielded novel diagnostic and prognostic biomarkers in MND, and have provided important pathogenic insights, particularly pertaining to site of disease onset. Cortical hyperexcitability, as heralded by reduced short interval intracortical inhibition (SICI) and increased short interval intracortical facilitation, has been associated with the onset of lower motor neuron degeneration, along with patterns of disease spread, development of specific clinical features such as the split hand phenomenon, and may provide an indication about the rate of disease progression. Additionally, reduction of SICI has emerged as a potential diagnostic aid in MND. The triple stimulation technique (TST) was shown to enhance the diagnostic utility of conventional TMS measures in detecting UMN dysfunction in MND. Separately, sophisticated brain imaging techniques have uncovered novel biomarkers of neurodegeneration that have bene associated with progression. The present review will discuss the utility of TMS and brain neuroimaging derived biomarkers of UMN dysfunction in MND, focusing on recently developed TMS techniques and advanced neuroimaging modalities that interrogate structural and functional integrity of the corticomotoneuronal system, with an emphasis on pathogenic, diagnostic, and prognostic utility.
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Affiliation(s)
- Thanuja Dharmadasa
- Department of Neurology, The Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Nathan Pavey
- Brain and Nerve Research Center, The University of Sydney, Sydney, Australia
| | - Sicong Tu
- Brain and Mind Centre, The University of Sydney, and Department of Neurology, Royal Prince Alfred Hospital, Australia
| | - Parvathi Menon
- Brain and Nerve Research Center, The University of Sydney, Sydney, Australia
| | - William Huynh
- Brain and Mind Centre, The University of Sydney, and Department of Neurology, Royal Prince Alfred Hospital, Australia
| | - Colin J Mahoney
- Brain and Mind Centre, The University of Sydney, and Department of Neurology, Royal Prince Alfred Hospital, Australia
| | - Hannah C Timmins
- Brain and Mind Centre, The University of Sydney, and Department of Neurology, Royal Prince Alfred Hospital, Australia
| | - Mana Higashihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Mehdi van den Bos
- Brain and Nerve Research Center, The University of Sydney, Sydney, Australia
| | - Kazumoto Shibuya
- Neurology, Chiba University, Graduate School of Medicine, Chiba, Japan
| | - Satoshi Kuwabara
- Neurology, Chiba University, Graduate School of Medicine, Chiba, Japan
| | - Julian Grosskreutz
- Precision Neurology, Excellence Cluster Precision Medicine in Inflammation, University of Lübeck, University Hospital Schleswig-Holstein Campus, Lübeck, Germany
| | - Matthew C Kiernan
- Brain and Mind Centre, The University of Sydney, and Department of Neurology, Royal Prince Alfred Hospital, Australia
| | - Steve Vucic
- Brain and Nerve Research Center, The University of Sydney, Sydney, Australia.
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Shin-Yi Lin C, Howells J, Rutkove S, Nandedkar S, Neuwirth C, Noto YI, Shahrizaila N, Whittaker RG, Bostock H, Burke D, Tankisi H. Neurophysiological and imaging biomarkers of lower motor neuron dysfunction in motor neuron diseases/amyotrophic lateral sclerosis: IFCN handbook chapter. Clin Neurophysiol 2024; 162:91-120. [PMID: 38603949 DOI: 10.1016/j.clinph.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/07/2024] [Accepted: 03/12/2024] [Indexed: 04/13/2024]
Abstract
This chapter discusses comprehensive neurophysiological biomarkers utilised in motor neuron disease (MND) and, in particular, its commonest form, amyotrophic lateral sclerosis (ALS). These encompass the conventional techniques including nerve conduction studies (NCS), needle and high-density surface electromyography (EMG) and H-reflex studies as well as novel techniques. In the last two decades, new methods of assessing the loss of motor units in a muscle have been developed, that are more convenient than earlier methods of motor unit number estimation (MUNE),and may use either electrical stimulation (e.g. MScanFit MUNE) or voluntary activation (MUNIX). Electrical impedance myography (EIM) is another novel approach for the evaluation that relies upon the application and measurement of high-frequency, low-intensity electrical current. Nerve excitability techniques (NET) also provide insights into the function of an axon and reflect the changes in resting membrane potential, ion channel dysfunction and the structural integrity of the axon and myelin sheath. Furthermore, imaging ultrasound techniques as well as magnetic resonance imaging are capable of detecting the constituents of morphological changes in the nerve and muscle. The chapter provides a critical description of the ability of each technique to provide neurophysiological insight into the complex pathophysiology of MND/ALS. However, it is important to recognise the strengths and limitations of each approach in order to clarify utility. These neurophysiological biomarkers have demonstrated reliability, specificity and provide additional information to validate and assess lower motor neuron dysfunction. Their use has expanded the knowledge about MND/ALS and enhanced our understanding of the relationship between motor units, axons, reflexes and other neural circuits in relation to clinical features of patients with MND/ALS at different stages of the disease. Taken together, the ultimate goal is to aid early diagnosis, distinguish potential disease mimics, monitor and stage disease progression, quantify response to treatment and develop potential therapeutic interventions.
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Affiliation(s)
- Cindy Shin-Yi Lin
- Faculty of Medicine and Health, Central Clinical School, Brain and Mind Centre, University of Sydney, Sydney 2006, Australia.
| | - James Howells
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Seward Rutkove
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sanjeev Nandedkar
- Natus Medical Inc, Middleton, Wisconsin, USA and Medical College of Wisconsin, Milwaukee, WI, USA
| | - Christoph Neuwirth
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital, St. Gallen, Switzerland
| | - Yu-Ichi Noto
- Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nortina Shahrizaila
- Division of Neurology, Department of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Roger G Whittaker
- Newcastle University Translational and Clinical Research Institute (NUTCRI), Newcastle University., Newcastle Upon Tyne, United Kingdom
| | - Hugh Bostock
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, Queen Square, WC1N 3BG, London, United Kingdom
| | - David Burke
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Hatice Tankisi
- Department of Clinical Neurophysiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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Ai Y, Li F, Hou Y, Li X, Li W, Qin K, Suo X, Lei D, Shang H, Gong Q. Differential cortical gray matter changes in early- and late-onset patients with amyotrophic lateral sclerosis. Cereb Cortex 2024; 34:bhad426. [PMID: 38061694 DOI: 10.1093/cercor/bhad426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 10/11/2023] [Accepted: 10/14/2023] [Indexed: 01/19/2024] Open
Abstract
Age at onset may be an important feature associated with distinct subtypes of amyotrophic lateral sclerosis (ALS). Little is known about the neuropathological mechanism of early-onset ALS (EO-ALS) and late-onset ALS (LO-ALS). Ninety ALS patients were divided into EO-ALS and LO-ALS group, and 128 healthy controls were matched into young controls(YCs) and old controls (OCs). A voxel-based morphometry approach was employed to investigate differences in gray matter volume (GMV). Significant age at onset-by-diagnosis interactions were found in the left parietal operculum, left precentral gyrus, bilateral postcentral gyrus, right occipital gyrus, and right orbitofrontal cortex. Post hoc analysis revealed a significant decrease in GMV in all affected regions of EO-ALS patients compared with YCs, with increased GMV in 5 of the 6 brain regions, except for the right orbitofrontal cortex, in LO-ALS patients compared with OCs. LO-ALS patients had a significantly increased GMV than EO-ALS patients after removing the aging effect. Correspondingly, GMV of the left postcentral gyrus correlated with disease severity in the 2 ALS groups. Our findings suggested that the pathological mechanisms in ALS patients with different ages at onset might differ. These findings provide unique insight into the clinical and biological heterogeneity of the 2 ALS subtypes.
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Affiliation(s)
- Yuan Ai
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Fei Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Yanbing Hou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Xiuli Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Wenbin Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Kun Qin
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Xueling Suo
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Du Lei
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
| | - Qiyong Gong
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan 610041, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, 699 Jinyuan Xi Road, Jimei District, Xiamen, Fujian 361021, China
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Ghaderi S, Fatehi F, Kalra S, Batouli SAH. MRI biomarkers for memory-related impairment in amyotrophic lateral sclerosis: a systematic review. Amyotroph Lateral Scler Frontotemporal Degener 2023:1-17. [PMID: 37469125 DOI: 10.1080/21678421.2023.2236651] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/06/2023] [Accepted: 06/30/2023] [Indexed: 07/21/2023]
Abstract
Introduction: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder associated with cognitive and behavioral impairments and motor symptoms. Magnetic resonance imaging (MRI) biomarkers have been investigated as potential tools for detecting and monitoring memory-related impairment in ALS. Our objective was to examine the importance of identifying MRI biomarkers for memory-related impairment in ALS, motor neuron disease (MND), and ALS frontotemporal dementia (FTD) (ALS-FTD) patients. Methods: PubMed and Scopus databases were searched. Keywords covering magnetic resonance imaging, ALS, MND, and memory impairments were searched. There were a total of 25 studies included in our work here. Results: The structural MRI (sMRI) studies reported gray matter (GM) atrophy in the regions associated with memory processing, such as the hippocampus and parahippocampal gyrus (PhG), in ALS patients. The diffusion tensor imaging (DTI) studies showed white matter (WM) alterations in the corticospinal tract (CST) and other tracts that are related to motor and extra-motor functions, and these alterations were associated with memory and executive function impairments in ALS. The functional MRI (fMRI) studies also demonstrated an altered activation in the prefrontal cortex, limbic system, and other brain regions involved in memory and emotional processing in ALS patients. Conclusion: MRI biomarkers show promise in uncovering the neural mechanisms of memory-related impairment in ALS. Nonetheless, addressing challenges such as sample sizes, imaging protocols, and longitudinal studies is crucial for future research. Ultimately, MRI biomarkers have the potential to be a tool for detecting and monitoring memory-related impairments in ALS.
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Affiliation(s)
- Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Neurology Department, Neuromuscular Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Fatehi
- Neurology Department, Neuromuscular Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sanjay Kalra
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Seyed Amir Hossein Batouli
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Milella G, Introna A, Mezzapesa DM, D'Errico E, Fraddosio A, Ucci M, Zoccolella S, Simone IL. Clinical Profiles and Patterns of Neurodegeneration in Amyotrophic Lateral Sclerosis: A Cluster-Based Approach Based on MR Imaging Metrics. AJNR Am J Neuroradiol 2023; 44:403-409. [PMID: 36958798 PMCID: PMC10084907 DOI: 10.3174/ajnr.a7823] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/20/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND AND PURPOSE The previous studies described phenotype-associated imaging findings in amyotrophic lateral sclerosis (ALS) with a prior categorization of patients based on clinical characteristics. We investigated the natural segregation of patients through a radiologic cluster-based approach without a priori patient categorization using 3 well-known prognostic MR imaging biomarkers in ALS, namely bilateral precentral and paracentral gyrus cortical thickness and medulla oblongata volume. We aimed to identify clinical/prognostic features that are cluster-associated. MATERIALS AND METHODS Bilateral precentral and paracentral gyri and medulla oblongata volume were calculated using FreeSurfer in 90 patients with amyotrophic lateral sclerosis and 25 healthy controls. A 2-step cluster analysis was performed using precentral and paracentral gyri (averaged pair-wise) and medulla oblongata volume. RESULTS We identified 3 radiologic clusters: 28 (31%) patients belonged to "cluster-1"; 51 (57%), to "cluster 2"; and 11 (12%), to "cluster 3." Patients in cluster 1 showed statistically significant cortical thinning of the analyzed cortical areas and lower medulla oblongata volume compared with subjects in cluster 2 and cluster 3, respectively. Patients in cluster 3 exhibited significant cortical thinning of both paracentral and precentral gyri versus those in cluster 2, and this latter cluster showed lower medulla oblongata volume than cluster 3. Patients in cluster 1 were characterized by older age, higher female prevalence, greater disease severity, higher progression rate, and lower survival compared with patients in clusters 2 and 3. CONCLUSIONS Patients with amyotrophic lateral sclerosis spontaneously segregate according to age and sex-specific patterns of neurodegeneration. Some patients with amyotrophic lateral sclerosis showed an early higher impairment of cortical motor neurons with relative sparing of bulbar motor neurons (cluster 3), while others expressed an opposite pattern (cluster 2). Moreover, 31% of patients showed an early simultaneous impairment of cortical and bulbar motor neurons (cluster 1), and they were characterized by higher disease severity and lower survival.
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Affiliation(s)
- G Milella
- From the Neurology Unit (G.M., A.I., D.M.M., E.D., A.F., M.U., I.L.S.), Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | - A Introna
- From the Neurology Unit (G.M., A.I., D.M.M., E.D., A.F., M.U., I.L.S.), Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | - D M Mezzapesa
- From the Neurology Unit (G.M., A.I., D.M.M., E.D., A.F., M.U., I.L.S.), Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | - E D'Errico
- From the Neurology Unit (G.M., A.I., D.M.M., E.D., A.F., M.U., I.L.S.), Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | - A Fraddosio
- From the Neurology Unit (G.M., A.I., D.M.M., E.D., A.F., M.U., I.L.S.), Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | - M Ucci
- From the Neurology Unit (G.M., A.I., D.M.M., E.D., A.F., M.U., I.L.S.), Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | - S Zoccolella
- Azienda Sanitaria Locale Bari (S.Z.), San Paolo Hospital, Bari, Italy
| | - I L Simone
- From the Neurology Unit (G.M., A.I., D.M.M., E.D., A.F., M.U., I.L.S.), Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
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Vieira S, Strymecka P, Stanaszek L, Silva-Correia J, Drela K, Fiedorowicz M, Malysz-Cymborska I, Janowski M, Reis RL, Łukomska B, Walczak P, Oliveira JM. Mn-Based Methacrylated Gellan Gum Hydrogels for MRI-Guided Cell Delivery and Imaging. Bioengineering (Basel) 2023; 10:bioengineering10040427. [PMID: 37106614 PMCID: PMC10135712 DOI: 10.3390/bioengineering10040427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/20/2023] [Accepted: 03/23/2023] [Indexed: 03/30/2023] Open
Abstract
This work aims to engineer a new stable injectable Mn-based methacrylated gellan gum (Mn/GG-MA) hydrogel for real-time monitored cell delivery into the central nervous system. To enable the hydrogel visualization under Magnetic Resonance Imaging (MRI), GG-MA solutions were supplemented with paramagnetic Mn2+ ions before its ionic crosslink with artificial cerebrospinal fluid (aCSF). The resulting formulations were stable, detectable by T1-weighted MRI scans and also injectable. Cell-laden hydrogels were prepared using the Mn/GG-MA formulations, extruded into aCSF for crosslink, and after 7 days of culture, the encapsulated human adipose-derived stem cells remained viable, as assessed by Live/Dead assay. In vivo tests, using double mutant MBPshi/shi/rag2 immunocompromised mice, showed that the injection of Mn/GG-MA solutions resulted in a continuous and traceable hydrogel, visible on MRI scans. Summing up, the developed formulations are suitable for both non-invasive cell delivery techniques and image-guided neurointerventions, paving the way for new therapeutic procedures.
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Affiliation(s)
- Sílvia Vieira
- 3B’s Research Group, I3Bs—Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark—Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, 4805-017 Guimarães, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4806-909 Braga/Guimarães, Portugal
| | - Paulina Strymecka
- NeuroRepair Department, Mossakowski Medical Research Centre, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Luiza Stanaszek
- NeuroRepair Department, Mossakowski Medical Research Centre, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Joana Silva-Correia
- 3B’s Research Group, I3Bs—Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark—Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, 4805-017 Guimarães, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4806-909 Braga/Guimarães, Portugal
| | - Katarzyna Drela
- NeuroRepair Department, Mossakowski Medical Research Centre, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Michał Fiedorowicz
- Small Animal Magnetic Resonance Imaging Laboratory, Mossakowski Medical Research Centre, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Izabela Malysz-Cymborska
- Department of Neurology and Neurosurgery, School of Medicine, Collegium Medicum, University of Warmia and Mazury, 10-082 Olsztyn, Poland
| | - Miroslaw Janowski
- NeuroRepair Department, Mossakowski Medical Research Centre, Polish Academy of Sciences, 02-106 Warsaw, Poland
- Center for Advanced Imaging Research, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland, Baltimore, MD 21201, USA
| | - Rui Luís Reis
- 3B’s Research Group, I3Bs—Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark—Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, 4805-017 Guimarães, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4806-909 Braga/Guimarães, Portugal
| | - Barbara Łukomska
- NeuroRepair Department, Mossakowski Medical Research Centre, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Piotr Walczak
- Department of Neurology and Neurosurgery, School of Medicine, Collegium Medicum, University of Warmia and Mazury, 10-082 Olsztyn, Poland
- Center for Advanced Imaging Research, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland, Baltimore, MD 21201, USA
| | - Joaquim Miguel Oliveira
- 3B’s Research Group, I3Bs—Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark—Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, 4805-017 Guimarães, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4806-909 Braga/Guimarães, Portugal
- Correspondence: ; Tel.: +351-253510931; Fax: +351-253510909
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Schreiber S, Bernal J, Arndt P, Schreiber F, Müller P, Morton L, Braun-Dullaeus RC, Valdés-Hernández MDC, Duarte R, Wardlaw JM, Meuth SG, Mietzner G, Vielhaber S, Dunay IR, Dityatev A, Jandke S, Mattern H. Brain Vascular Health in ALS Is Mediated through Motor Cortex Microvascular Integrity. Cells 2023; 12:957. [PMID: 36980297 PMCID: PMC10047140 DOI: 10.3390/cells12060957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/07/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Brain vascular health appears to be critical for preventing the development of amyotrophic lateral sclerosis (ALS) and slowing its progression. ALS patients often demonstrate cardiovascular risk factors and commonly suffer from cerebrovascular disease, with evidence of pathological alterations in their small cerebral blood vessels. Impaired vascular brain health has detrimental effects on motor neurons: vascular endothelial growth factor levels are lowered in ALS, which can compromise endothelial cell formation and the integrity of the blood-brain barrier. Increased turnover of neurovascular unit cells precedes their senescence, which, together with pericyte alterations, further fosters the failure of toxic metabolite removal. We here provide a comprehensive overview of the pathogenesis of impaired brain vascular health in ALS and how novel magnetic resonance imaging techniques can aid its detection. In particular, we discuss vascular patterns of blood supply to the motor cortex with the number of branches from the anterior and middle cerebral arteries acting as a novel marker of resistance and resilience against downstream effects of vascular risk and events in ALS. We outline how certain interventions adapted to patient needs and capabilities have the potential to mechanistically target the brain microvasculature towards favorable motor cortex blood supply patterns. Through this strategy, we aim to guide novel approaches to ALS management and a better understanding of ALS pathophysiology.
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Affiliation(s)
- Stefanie Schreiber
- Department of Neurology, Otto von Guericke University Magdeburg, Medical Faculty, 39120 Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), 39106 Magdeburg, Germany
| | - Jose Bernal
- Department of Neurology, Otto von Guericke University Magdeburg, Medical Faculty, 39120 Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany
| | - Philipp Arndt
- Department of Neurology, Otto von Guericke University Magdeburg, Medical Faculty, 39120 Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany
| | - Frank Schreiber
- Department of Neurology, Otto von Guericke University Magdeburg, Medical Faculty, 39120 Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany
| | - Patrick Müller
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany
- Department of Internal Medicine/Cardiology and Angiology, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany
| | - Lorena Morton
- Institute of Inflammation and Neurodegeneration, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany
| | | | | | - Roberto Duarte
- Centre for Clinical Brain Sciences, The University of Edinburgh, UK Dementia Research Institute Centre, Edinburgh EH16 4UX, UK
| | - Joanna Marguerite Wardlaw
- Centre for Clinical Brain Sciences, The University of Edinburgh, UK Dementia Research Institute Centre, Edinburgh EH16 4UX, UK
| | - Sven Günther Meuth
- Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Grazia Mietzner
- Department of Neurology, Otto von Guericke University Magdeburg, Medical Faculty, 39120 Magdeburg, Germany
| | - Stefan Vielhaber
- Department of Neurology, Otto von Guericke University Magdeburg, Medical Faculty, 39120 Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), 39106 Magdeburg, Germany
| | - Ildiko Rita Dunay
- Center for Behavioral Brain Sciences (CBBS), 39106 Magdeburg, Germany
- Institute of Inflammation and Neurodegeneration, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany
| | - Alexander Dityatev
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), 39106 Magdeburg, Germany
- Medical Faculty, Otto von Guericke University, 39120 Magdeburg, Germany
| | - Solveig Jandke
- Department of Neurology, Otto von Guericke University Magdeburg, Medical Faculty, 39120 Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany
| | - Hendrik Mattern
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), 39106 Magdeburg, Germany
- Department of Biomedical Magnetic Resonance, Faculty of Natural Sciences, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany
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8
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Weil EL, Nakawah MO, Masdeu JC. Advances in the neuroimaging of motor disorders. HANDBOOK OF CLINICAL NEUROLOGY 2023; 195:359-381. [PMID: 37562878 DOI: 10.1016/b978-0-323-98818-6.00039-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Neuroimaging is a valuable adjunct to the history and examination in the evaluation of motor system disorders. Conventional imaging with computed tomography or magnetic resonance imaging depicts important anatomic information and helps to identify imaging patterns which may support diagnosis of a specific motor disorder. Advanced imaging techniques can provide further detail regarding volume, functional, or metabolic changes occurring in nervous system pathology. This chapter is an overview of the advances in neuroimaging with particular emphasis on both standard and less well-known advanced imaging techniques and findings, such as diffusion tensor imaging or volumetric studies, and their application to specific motor disorders. In addition, it provides reference to emerging imaging biomarkers in motor system disorders such as Parkinson disease, amyotrophic lateral sclerosis, and Huntington disease, and briefly reviews the neuroimaging findings in different causes of myelopathy and peripheral nerve disorders.
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Affiliation(s)
- Erika L Weil
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States; Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States.
| | - Mohammad Obadah Nakawah
- Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States; Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Joseph C Masdeu
- Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States; Department of Neurology, Weill Cornell Medicine, New York, NY, United States
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9
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Kor DZL, Jbabdi S, Huszar IN, Mollink J, Tendler BC, Foxley S, Wang C, Scott C, Smart A, Ansorge O, Pallebage-Gamarallage M, Miller KL, Howard AFD. An automated pipeline for extracting histological stain area fraction for voxelwise quantitative MRI-histology comparisons. Neuroimage 2022; 264:119726. [PMID: 36368503 PMCID: PMC10933753 DOI: 10.1016/j.neuroimage.2022.119726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 10/27/2022] [Accepted: 10/31/2022] [Indexed: 11/11/2022] Open
Abstract
The acquisition of MRI and histology in the same post-mortem tissue sample enables direct correlation between MRI and histologically-derived parameters. However, there still lacks a standardised automated pipeline to process histology data, with most studies relying on manual intervention. Here, we introduce an automated pipeline to extract a quantitative histological measure for staining density (stain area fraction, SAF) from multiple immunohistochemical (IHC) stains. The pipeline is designed to directly address key IHC artefacts related to tissue staining and slide digitisation. Here, the pipeline was applied to post-mortem human brain data from multiple subjects, relating MRI parameters (FA, MD, RD, AD, R2*, R1) to IHC slides stained for myelin, neurofilaments, microglia and activated microglia. Utilising high-quality MRI-histology co-registrations, we then performed whole-slide voxelwise comparisons (simple correlations, partial correlations and multiple regression analyses) between multimodal MRI- and IHC-derived parameters. The pipeline was found to be reproducible, robust to artefacts and generalisable across multiple IHC stains. Our partial correlation results suggest that some simple MRI-SAF correlations should be interpreted with caution, due to the co-localisation of other tissue features (e.g., myelin and neurofilaments). Further, we find activated microglia-a generic biomarker of inflammation-to consistently be the strongest predictor of high DTI FA and low RD, which may suggest sensitivity of diffusion MRI to aspects of neuroinflammation related to microglial activation, even after accounting for other microstructural changes (demyelination, axonal loss and general microglia infiltration). Together, these results show the utility of this approach in carefully curating IHC data and performing multimodal analyses to better understand microstructural relationships with MRI.
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Affiliation(s)
- Daniel Z L Kor
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom.
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom
| | - Istvan N Huszar
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom
| | - Jeroen Mollink
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom
| | - Benjamin C Tendler
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom
| | - Sean Foxley
- Department of Radiology, University of Chicago, Chicago, IL, United States of America
| | - Chaoyue Wang
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom
| | - Connor Scott
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Adele Smart
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom; Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Olaf Ansorge
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Menuka Pallebage-Gamarallage
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Karla L Miller
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom
| | - Amy F D Howard
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Headington, Oxford OX3 9DU, , United Kingdom
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10
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Zejlon C, Nakhostin D, Winklhofer S, Pangalu A, Kulcsar Z, Lewandowski S, Finnsson J, Piehl F, Ingre C, Granberg T, Ineichen BV. Structural magnetic resonance imaging findings and histopathological correlations in motor neuron diseases—A systematic review and meta-analysis. Front Neurol 2022; 13:947347. [PMID: 36110394 PMCID: PMC9468579 DOI: 10.3389/fneur.2022.947347] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesThe lack of systematic evidence on neuroimaging findings in motor neuron diseases (MND) hampers the diagnostic utility of magnetic resonance imaging (MRI). Thus, we aimed at performing a systematic review and meta-analysis of MRI features in MND including their histopathological correlation.MethodsIn a comprehensive literature search, out of 5941 unique publications, 223 records assessing brain and spinal cord MRI findings in MND were eligible for a qualitative synthesis. 21 records were included in a random effect model meta-analysis.ResultsOur meta-analysis shows that both T2-hyperintensities along the corticospinal tracts (CST) and motor cortex T2*-hypointensitites, also called “motor band sign”, are more prevalent in ALS patients compared to controls [OR 2.21 (95%-CI: 1.40–3.49) and 10.85 (95%-CI: 3.74–31.44), respectively]. These two imaging findings correlate to focal axonal degeneration/myelin pallor or glial iron deposition on histopathology, respectively. Additionally, certain clinical MND phenotypes such as amyotrophic lateral sclerosis (ALS) seem to present with distinct CNS atrophy patterns.ConclusionsAlthough CST T2-hyperintensities and the “motor band sign” are non-specific imaging features, they can be leveraged for diagnostic workup of suspected MND cases, together with certain brain atrophy patterns. Collectively, this study provides high-grade evidence for the usefulness of MRI in the diagnostic workup of suspected MND cases.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42020182682.
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Affiliation(s)
- Charlotte Zejlon
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Dominik Nakhostin
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
| | - Sebastian Winklhofer
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
| | - Athina Pangalu
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
| | - Zsolt Kulcsar
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
| | | | - Johannes Finnsson
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center of Neurology, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden
| | - Caroline Ingre
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Tobias Granberg
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Benjamin Victor Ineichen
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
- *Correspondence: Benjamin Victor Ineichen
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11
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Colvin LE, Foster ZW, Stein TD, Thakore-James M, Salajegheh MK, Carr K, Spencer KR, Rauf NA, Adams L, Averill JG, Walker SE, Robey I, Alvarez VE, Huber BR, McKee AC, Kowall NW, Brady CB. Utility of the ALSFRS-R for predicting ALS and comorbid disease neuropathology: The Veterans Affairs Biorepository Brain Bank. Muscle Nerve 2022; 66:167-174. [PMID: 35585776 PMCID: PMC9308705 DOI: 10.1002/mus.27635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 05/09/2022] [Accepted: 05/13/2022] [Indexed: 01/03/2023]
Abstract
INTRODUCTION/AIMS The amyotrophic lateral sclerosis (ALS) functional rating scale-revised (ALSFRS-R) is commonly used to track ALS disease progression; however, there are gaps in the literature regarding the extent to which the ALSFRS-R relates to underlying central nervous system (CNS) pathology. The current study explored the association between ALSFRS-R (total and subdomain) scores and postmortem neuropathology (both ALS-specific and comorbid disease). METHODS Within our sample of 93 military veterans with autopsy-confirmed ALS, we utilized hierarchical cluster analysis (HCA) to identify discrete profiles of motor dysfunction based on ALSFRS-R subdomain scores. We examined whether emergent clusters were associated with neuropathology. Separate analyses of variance and covariance with post-hoc comparisons were performed to examine relevant cluster differences. RESULTS Analyses revealed significant correlations between ALSFRS-R total and subdomain scores with some, but not all, neuropathological variables. The HCA illustrated three groups: Cluster 1-predominantly diffuse functional impairment; Cluster 2-spared respiratory/bulbar and impaired motor function; and Cluster 3-spared bulbar and impaired respiratory, and fine and gross motor function. Individuals in Cluster 1 (and to a lesser degree, Cluster 3) exhibited greater accumulation of ALS-specific neuropathology and less comorbid neuropathology than those in Cluster 2. DISCUSSION These results suggest that discrete patterns of motor dysfunction based on ALSFRS-R subdomain scores are related to postmortem neuropathology. Findings support use of ALSFRS-R subdomain scores to capture the heterogeneity of clinical presentation and disease progression in ALS, and may assist researchers in identifying endophenotypes for separate assessment in clinical trials.
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Affiliation(s)
| | | | - Thor D. Stein
- VA Boston Healthcare System, Boston, MA
- Boston University School of Medicine, Boston, MA
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Veterans Affairs Medical Center, Bedford, MA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA
| | - Manisha Thakore-James
- VA Boston Healthcare System, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
| | - M. Kian Salajegheh
- VA Boston Healthcare System, Boston, MA
- Harvard Medical School, Boston, MA
- Brigham and Women’s Hospital
| | | | | | | | | | | | | | - Ian Robey
- Southern Arizona VA Healthcare System, Tucson, Arizona
| | - Victor E. Alvarez
- VA Boston Healthcare System, Boston, MA
- Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Veterans Affairs Medical Center, Bedford, MA
| | - Bertrand R. Huber
- VA Boston Healthcare System, Boston, MA
- Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Veterans Affairs Medical Center, Bedford, MA
| | - Ann C. McKee
- VA Boston Healthcare System, Boston, MA
- Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Veterans Affairs Medical Center, Bedford, MA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA
| | - Neil W. Kowall
- VA Boston Healthcare System, Boston, MA
- Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, MA
| | - Christopher B. Brady
- VA Boston Healthcare System, Boston, MA
- Boston University School of Medicine, Boston, MA
- Harvard Medical School, Boston, MA
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12
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Wendebourg MJ, Kuhle J, Hardmeier M. Case Report: A 72-Year-Old Woman With Progressive Motor Weakness, Dry Eyes and High Levels of Serum Neurofilament Light Chain. Front Neurol 2022; 13:889894. [PMID: 35899270 PMCID: PMC9309382 DOI: 10.3389/fneur.2022.889894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundDiagnosis of Amyotrophic Lateral Sclerosis (ALS) is challenging as initial presentations are various and diagnostic biomarkers are lacking. The diagnosis relies on the presence of both upper and lower motor neuron signs and thorough exclusion of differential diagnoses, particularly as receiving an ALS diagnosis has major implications for the patient. Sjögren's syndrome may mimic peripheral ALS phenotypes and should be considered in the work-up.CaseA 72-year-old female presented with a mono-neuropathy of the right leg and a complaint of dry eyes and mouth. Initial diagnostic work-up confirmed a regional sensorimotor neuropathy and a Sjögren's syndrome; a causal relationship was assumed. However, motor symptoms spread progressively despite immunosuppressive treatment, eventually including both legs, both arms and the diaphragm. Clinically, unequivocal central signs were lacking, but further along in the disease course, the atrophy pattern followed a split phenotype and deep tendon reflexes were preserved. Nerve biopsy did not show vasculitic infiltration; however, serum neurofilament light chain (sNfL) concentrations were and remained persistently highly elevated despite immunosuppressive treatment. Electrodiagnostic re-evaluation confirmed denervation in 3 regions. A diagnosis of familial ALS was finally confirmed by a C9orf 72 repeat expansion. Stationary sensory symptoms were best explained by a neuropathy associated with concomitant Sjögren's syndromeDiscussionOur instructive case shows the difficulties of diagnosing ALS in the setting of a peripheral symptom onset and a concurrent but unrelated condition also causing neuropathy. Such cases require high clinical vigilance and readiness to reappraise diagnostic findings if the disease course deviates from expectation. Recently proposed simplified diagnostic criteria, genetic testing and body fluid biomarkers such as sNfL may facilitate the diagnostic process and lead to an earlier diagnosis of ALS.
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Affiliation(s)
- Maria Janina Wendebourg
- Department of Neurology, University Hospital Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Department of Neurology, University Hospital Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Martin Hardmeier
- Department of Neurology, University Hospital Basel, Basel, Switzerland
- *Correspondence: Martin Hardmeier
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13
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Medulla oblongata volume as a promising predictor of survival in amyotrophic lateral sclerosis. Neuroimage Clin 2022; 34:103015. [PMID: 35561555 PMCID: PMC9111981 DOI: 10.1016/j.nicl.2022.103015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 03/29/2022] [Accepted: 04/19/2022] [Indexed: 11/21/2022]
Abstract
Brainstem volumes reflect the disease severity expressed as ALSFRS-r (total score and its bulbar and spinal subscores). Medulla oblongata volume demonstrated a significant accuracy to discriminate long and short survivors ALS patients. Brainstem volumes may reflect the impairment of corticospinal and corticobulbar tracts as well as lower bulbar motor neurons. Furthermore, medulla oblongata could be used as an early predictor of survival in ALS patients.
Background Unconventional magnetic resonance imaging studies of the brainstem have recently acquired a growing interest in amyotrophic lateral sclerosis (ALS) pathology since they provide a unique opportunity to evaluate motor tract degeneration and bulbar lower motor neuron involvement. The aim of this study was to investigate the role of brainstem structures as accurate biomarkers of disease severity and predictors of survival. Materials and Methods A total of 60 ALS patients and 30 healthy controls subjects (CS) were recruited in this study. Patients were divided in two subgroups according to the onset of the disease: 42 spinal (S-ALS) and 18 bulbar (B-ALS). All subjects underwent 3D-structural MRI. Brainstem volume both of the entire cohort of ALS patients and S-ALS and B-ALS onset were compared with those of CS. In addition the two ALS subgroups were tested for differences in brainstem volumes. Volumetric, vertex-wise, and voxel-based approaches were implemented to assess correlations between MR structural features and clinical characteristics expressed as ALSFRS-r and its bulbar (ALSFSR-r-B) and spinal subscores (ALSFSR-r-S). ROC curves were performed to test the accuracy of midbrain, pons, and medulla oblongata volumes able to discriminate patients dichotomized into long and short survivors by using Two-Steps cluster analysis. Univariate and multivariate survival analyses were carried out to test the prognostic role of brainstem structures’ volume, trichotomized by applying a k-means clustering algorithm. Results Both the entire cohort of ALS patients and B-ALS and S-ALS showed significant lower volumes of both medulla oblongata and pons compared to CS. Furthermore, B-ALS showed a significant lower volume of medulla oblongata, compared to S-ALS. Lower score of ALSFRS-r correlated to atrophy in the anterior compartment of midbrain, pons, and medulla oblongata, as well as in the posterior portion of only this latter region. ALSFSR-r-S positively correlated with shape deformation and density reduction of the anterior portion of the entire brainstem, along the corticospinal tracts. ALSFSR-r-B instead showed a positive correlation with shape deformation of the floor of the fourth ventricle in the medulla oblongata and the crus cerebri in the midbrain. Only medulla oblongata volume demonstrated a significant accuracy to discriminate long and short survivors ALS patients (ROC AUC 0.76, p < 0.001). Univariate and multivariate analysis confirmed the survival predictive role of the medulla oblongata (log rank test p: 0.003). Discussions Our findings suggest that brainstem volume may reflect the impairment of corticospinal and corticobulbar tracts as well as lower bulbar motor neurons. Furthermore, medulla oblongata could be used as an early predictor of survival in ALS patients.
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14
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Kocar TD, Müller HP, Ludolph AC, Kassubek J. Feature selection from magnetic resonance imaging data in ALS: a systematic review. Ther Adv Chronic Dis 2021; 12:20406223211051002. [PMID: 34729157 PMCID: PMC8521429 DOI: 10.1177/20406223211051002] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/15/2021] [Indexed: 12/23/2022] Open
Abstract
Background: With the advances in neuroimaging in amyotrophic lateral sclerosis (ALS), it has been speculated that multiparametric magnetic resonance imaging (MRI) is capable to contribute to early diagnosis. Machine learning (ML) can be regarded as the missing piece that allows for the useful integration of multiparametric MRI data into a diagnostic classifier. The major challenges in developing ML classifiers for ALS are limited data quantity and a suboptimal sample to feature ratio which can be addressed by sound feature selection. Methods: We conducted a systematic review to collect MRI biomarkers that could be used as features by searching the online database PubMed for entries in the recent 4 years that contained cross-sectional neuroimaging data of subjects with ALS and an adequate control group. In addition to the qualitative synthesis, a semi-quantitative analysis was conducted for each MRI modality that indicated which brain regions were most commonly reported. Results: Our search resulted in 151 studies with a total of 221 datasets. In summary, our findings highly resembled generally accepted neuropathological patterns of ALS, with degeneration of the motor cortex and the corticospinal tract, but also in frontal, temporal, and subcortical structures, consistent with the neuropathological four-stage model of the propagation of pTDP-43 in ALS. Conclusions: These insights are discussed with respect to their potential for MRI feature selection for future ML-based neuroimaging classifiers in ALS. The integration of multiparametric MRI including DTI, volumetric, and texture data using ML may be the best approach to generate a diagnostic neuroimaging tool for ALS.
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Affiliation(s)
- Thomas D Kocar
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Albert C Ludolph
- Department of Neurology, University of Ulm, Ulm, Germany Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Oberer Eselsberg 45, 89081 Ulm, Germany
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15
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Ogura A, Kawabata K, Watanabe H, Choy SW, Bagarinao E, Kato T, Imai K, Masuda M, Ohdake R, Hara K, Nakamura R, Atsuta N, Nakamura T, Katsuno M, Sobue G. Fiber-specific white matter analysis reflects upper motor neuron impairment in amyotrophic lateral sclerosis. Eur J Neurol 2021; 29:432-440. [PMID: 34632672 DOI: 10.1111/ene.15136] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 09/30/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE To clarify the relationship between fiber-specific white matter changes in amyotrophic lateral sclerosis (ALS) and clinical signs of upper motor neuron (UMN) involvement, we performed a fixel-based analysis (FBA), a novel framework for diffusion-weighted imaging analysis. METHODS We enrolled 96 participants, including 48 nonfamilial ALS patients and 48 age- and sex-matched healthy controls (HCs), in this study and conducted whole-brain FBA and voxel-based morphometry analysis. We compared the fiber density (FD), fiber morphology (fiber cross-section [FC]), and a combined index of FD and FC (FDC) between the ALS and HC groups. We performed a tract-of-interest analysis to extract FD values across the significant regions in the whole-brain analysis. Then, we evaluated the associations between FD values and clinical variables. RESULTS The bilateral corticospinal tracts (CSTs) and the corpus callosum (CC) showed reduced FD and FDC in ALS patients compared with HCs (p < 0.05, familywise error-corrected), and the comparison of FCs revealed no region that was significantly different from another. Voxel-based morphometry showed cortical volume reduction in the regions, including the primary motor area. Clinical scores showed correlations with FD values in the CSTs (UMN score: rho = -0.530, p < 0.001; central motor conduction time [CMCT] in the upper limb: rho = -0.474, p = 0.008; disease duration: rho = -0.383, p = 0.007; ALS Functional Rating Scale-Revised: rho = 0.340, p = 0.018). In addition, patients whose CMCT was not calculated due to unevoked waves also showed FD reduction in the CSTs. CONCLUSIONS Our findings suggest that FD values in the CST estimated via FBA can be potentially used in evaluating UMN impairments.
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Affiliation(s)
- Aya Ogura
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuya Kawabata
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hirohisa Watanabe
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Neurology, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Shao Wei Choy
- Center for Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
| | - Epifanio Bagarinao
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Toshiyasu Kato
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazunori Imai
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Michihito Masuda
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Reiko Ohdake
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan
| | - Kazuhiro Hara
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ryoichi Nakamura
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Atsuta
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tomohiko Nakamura
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Department of Laboratory Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Gen Sobue
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Research Division of Dementia and Neurodegenerative Disease, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Aichi Medical University, Nagakute, Japan
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16
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Lichtenstein T, Sprenger A, Weiss K, Große Hokamp N, Maintz D, Schlamann M, Fink GR, Lehmann HC, Henning TD. MRI DTI and PDFF as Biomarkers for Lower Motor Neuron Degeneration in ALS. Front Neurosci 2021; 15:682126. [PMID: 34512239 PMCID: PMC8428530 DOI: 10.3389/fnins.2021.682126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 07/26/2021] [Indexed: 11/23/2022] Open
Abstract
Objective To evaluate the utility of nerve magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), and muscle MRI multi-echo Dixon for assessing lower motor neuron (LMN) degeneration in amyotrophic lateral sclerosis (ALS). Methods In this prospective observational cohort study, 14 patients with ALS and 13 healthy controls underwent a multiparametric MRI protocol, including DTI of the sciatic nerve and assessment of muscle proton density fat fraction of the biceps femoris and the quadriceps femoris muscles by a multi-echo Dixon sequence. Results In ALS patients, mean fractional anisotropy values of the sciatic nerve were significantly lower than those of healthy controls. The quadriceps femoris, but not the biceps femoris muscle, showed significantly higher intramuscular fat fractions in ALS. Interpretation Our study provides evidence that multiparametric MRI protocols might help estimate structural nerve damage and neurogenic muscle changes in ALS.
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Affiliation(s)
- Thorsten Lichtenstein
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Alina Sprenger
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Kilian Weiss
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Philips Healthcare, Hamburg, Germany
| | - Nils Große Hokamp
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - David Maintz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Marc Schlamann
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gereon R Fink
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany.,Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Helmar C Lehmann
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Tobias D Henning
- Department of Neuroradiology, Center Hospital Luxembourg, Luxembourg City, Luxembourg
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17
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Amor S, Nutma E, Marzin M, Puentes F. Imaging immunological processes from blood to brain in amyotrophic lateral sclerosis. Clin Exp Immunol 2021; 206:301-313. [PMID: 34510431 PMCID: PMC8561688 DOI: 10.1111/cei.13660] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/18/2021] [Accepted: 08/29/2021] [Indexed: 12/12/2022] Open
Abstract
Neuropathology studies of amyotrophic lateral sclerosis (ALS) and animal models of ALS reveal a strong association between aberrant protein accumulation and motor neurone damage, as well as activated microglia and astrocytes. While the role of neuroinflammation in the pathology of ALS is unclear, imaging studies of the central nervous system (CNS) support the idea that innate immune activation occurs early in disease in both humans and rodent models of ALS. In addition, emerging studies also reveal changes in monocytes, macrophages and lymphocytes in peripheral blood as well as at the neuromuscular junction. To more clearly understand the association of neuroinflammation (innate and adaptive) with disease progression, the use of biomarkers and imaging modalities allow monitoring of immune parameters in the disease process. Such approaches are important for patient stratification, selection and inclusion in clinical trials, as well as to provide readouts of response to therapy. Here, we discuss the different imaging modalities, e.g. magnetic resonance imaging, magnetic resonance spectroscopy and positron emission tomography as well as other approaches, including biomarkers of inflammation in ALS, that aid the understanding of the underlying immune mechanisms associated with motor neurone degeneration in ALS.
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Affiliation(s)
- Sandra Amor
- Department of Pathology, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands.,Department of Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Erik Nutma
- Department of Pathology, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands
| | - Manuel Marzin
- Department of Pathology, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands
| | - Fabiola Puentes
- Department of Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
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18
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Barton SK, Gregory JM, Selvaraj BT, McDade K, Henstridge CM, Spires-Jones TL, James OG, Mehta AR, Story D, Burr K, Magnani D, Isaacs AM, Smith C, Chandran S. Dysregulation in Subcellular Localization of Myelin Basic Protein mRNA Does Not Result in Altered Myelination in Amyotrophic Lateral Sclerosis. Front Neurosci 2021; 15:705306. [PMID: 34539336 PMCID: PMC8440970 DOI: 10.3389/fnins.2021.705306] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 07/23/2021] [Indexed: 11/13/2022] Open
Abstract
Pathological hallmarks of amyotrophic lateral sclerosis (ALS), including protein misfolding, are well established in oligodendrocytes. More recently, an RNA trafficking deficit of key myelin proteins has been suggested in oligodendrocytes in ALS but the extent to which this affects myelination and the relative contribution of this to disease pathogenesis is unclear. ALS autopsy research findings showing demyelination contrasts with the routine clinical-pathological workup of ALS cases where it is rare to see white matter abnormalities other than simple Wallerian degeneration secondary to widespread neuronal loss. To begin to address this apparent variance, we undertook a comprehensive evaluation of myelination at an RNA, protein and structural level using human pathological material from sporadic ALS patients, genetic ALS patients (harboring C9orf72 mutation) and age- and sex-matched non-neurological controls. We performed (i) quantitative spatial profiling of the mRNA transcript encoding myelin basic protein (MBP), (ii) quantification of MBP protein and (iii) the first quantitative structural assessment of myelination in ALS post-mortem specimens by electron microscopy. We show no differences in MBP protein levels or ultrastructural myelination, despite a significant dysregulation in the subcellular trafficking of MBP mRNA in ALS patients compared to controls. We therefore confirm that whilst there are cell autonomous mRNA trafficking deficits affecting oligodendrocytes in ALS, this has no effect on myelin structure.
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Affiliation(s)
- Samantha K. Barton
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
| | - Jenna M. Gregory
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
| | - Bhuvaneish T. Selvaraj
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
| | - Karina McDade
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Christopher M. Henstridge
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Discovery Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Tara L. Spires-Jones
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Discovery Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Owen G. James
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
| | - Arpan R. Mehta
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
| | - David Story
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
| | - Karen Burr
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
| | - Dario Magnani
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
| | - Adrian M. Isaacs
- UK Dementia Research Institute at UCL, Faculty of Brain Sciences, University College London, London, United Kingdom
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Colin Smith
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Siddharthan Chandran
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at The University of Edinburgh, The University of Edinburgh, Edinburgh, United Kingdom
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19
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Distaso E, Milella G, Mezzapesa DM, Introna A, D'Errico E, Fraddosio A, Zoccolella S, Dicuonzo F, Simone IL. Magnetic resonance metrics to evaluate the effect of therapy in amyotrophic lateral sclerosis: the experience with edaravone. J Neurol 2021; 268:3307-3315. [PMID: 33655342 PMCID: PMC8357666 DOI: 10.1007/s00415-021-10495-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 02/20/2021] [Accepted: 02/23/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Edaravone was approved as a new treatment for amyotrophic lateral sclerosis (ALS), although there are different opinions on its effectiveness. Magnetic resonance (MRI) measures appear promising as diagnostic and prognostic indicators of disease. However, published studies on MRI using to monitor treatment efficacy in ALS are lacking. PURPOSE The objective of this study was to investigate changes in brain MRI measures in patients treated with edaravone. METHODS Thirteen ALS patients assuming edaravone (ALS-EDA) underwent MRI at baseline (T0) and after 6 months (T6) to measure cortical thickness (CT) and fractional anisotropy (FA) of white matter (WM) tracts. MRI data of ALS-EDA were compared at T0 with those of 12 control subjects (CS), and at T6 with those of 11 ALS patients assuming only riluzole (ALS-RIL), extracted from our ALS cohort using a propensity-score-matching. A longitudinal MRI analysis was performed in ALS-EDA between T6 and T0. RESULTS At T0, ALS-EDA showed a cortical widespread thinning in both hemispheres, particularly in the bilateral precentral gyrus, and a reduction of FA in bilateral corticospinal tracts, in comparison to CS. Thinning in bilateral precentral cortex and significant widespread reduction of FA in several WM tracts were observed in ALS-EDA at T6 compared to T0. At T6, no significant differences in MRI measures of ALS-EDA versus ALS-RIL were found. CONCLUSIONS Patients treated with edaravone showed progression of damage in the motor cortex and several WM tracts, at a six-month follow-up. Moreover, this study showed no evidence of a difference between edaravone and riluzole.
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Affiliation(s)
- Eugenio Distaso
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Giammarco Milella
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Domenico Maria Mezzapesa
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Alessandro Introna
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Eustachio D'Errico
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Angela Fraddosio
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy
| | | | - Franca Dicuonzo
- Neuroradiology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70100, Bari, Italy
| | - Isabella Laura Simone
- Neurology Unit, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy.
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20
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Ravanfar P, Loi SM, Syeda WT, Van Rheenen TE, Bush AI, Desmond P, Cropley VL, Lane DJR, Opazo CM, Moffat BA, Velakoulis D, Pantelis C. Systematic Review: Quantitative Susceptibility Mapping (QSM) of Brain Iron Profile in Neurodegenerative Diseases. Front Neurosci 2021; 15:618435. [PMID: 33679303 PMCID: PMC7930077 DOI: 10.3389/fnins.2021.618435] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 01/07/2021] [Indexed: 12/11/2022] Open
Abstract
Iron has been increasingly implicated in the pathology of neurodegenerative diseases. In the past decade, development of the new magnetic resonance imaging technique, quantitative susceptibility mapping (QSM), has enabled for the more comprehensive investigation of iron distribution in the brain. The aim of this systematic review was to provide a synthesis of the findings from existing QSM studies in neurodegenerative diseases. We identified 80 records by searching MEDLINE, Embase, Scopus, and PsycInfo databases. The disorders investigated in these studies included Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, Wilson's disease, Huntington's disease, Friedreich's ataxia, spinocerebellar ataxia, Fabry disease, myotonic dystrophy, pantothenate-kinase-associated neurodegeneration, and mitochondrial membrane protein-associated neurodegeneration. As a general pattern, QSM revealed increased magnetic susceptibility (suggestive of increased iron content) in the brain regions associated with the pathology of each disorder, such as the amygdala and caudate nucleus in Alzheimer's disease, the substantia nigra in Parkinson's disease, motor cortex in amyotrophic lateral sclerosis, basal ganglia in Huntington's disease, and cerebellar dentate nucleus in Friedreich's ataxia. Furthermore, the increased magnetic susceptibility correlated with disease duration and severity of clinical features in some disorders. Although the number of studies is still limited in most of the neurodegenerative diseases, the existing evidence suggests that QSM can be a promising tool in the investigation of neurodegeneration.
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Affiliation(s)
- Parsa Ravanfar
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Samantha M Loi
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.,Neuropsychiatry, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Warda T Syeda
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.,Centre for Mental Health, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Ashley I Bush
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience & Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Patricia Desmond
- Melbourne Brain Centre Imaging Unit, Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia.,Department of Radiology, The Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Vanessa L Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.,Centre for Mental Health, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Darius J R Lane
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience & Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Carlos M Opazo
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Bradford A Moffat
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.,Melbourne Brain Centre Imaging Unit, Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia
| | - Dennis Velakoulis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.,Neuropsychiatry, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.,Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
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21
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Štětkářová I, Ehler E. Diagnostics of Amyotrophic Lateral Sclerosis: Up to Date. Diagnostics (Basel) 2021; 11:231. [PMID: 33546386 PMCID: PMC7913557 DOI: 10.3390/diagnostics11020231] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/27/2021] [Accepted: 01/29/2021] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by gradual loss of upper and lower motor neurons and their pathways, usually without affecting the extraocular and sphincter muscles. The cause of the disease is not yet known. It is a chain of subsequent events, ending in programmed cell death in selective neuronal subpopulations. The prognosis for survival is rather short with a median of 2 to 4 years. Survival may be prolonged based on prompt diagnosis, ALS subtype and proper management with supportive treatment (tracheostomy, gastrostomy, etc.). According to the clinical picture, the typical form of ALS with upper and lower motoneuron involvement and progressive bulbar paralysis with bulbar muscle involvement is observed. The ALS form with progressive muscle atrophy, where only the lower motoneuron is affected, and primary lateral sclerosis with only upper motoneuron damage are rare. Familiar forms of ALS (FALS) associated with specific genes (the most common is C9orf72) have been discovered. FALS is usually associated with dementia (frontotemporal lobar dementia, FTLD), behavioral disorders, cognitive dysfunction and impairment of executive functions. The diagnosis of ALS is determined by excluding other conditions and utilizing clinical examinations, laboratory and genetic tests and nerve conduction/needle electromyography studies (EMG). Needle EMG records abnormal activities at rest and looks for neurogenic patterns during muscle contraction. Motor evoked potentials after transcranial magnetic stimulation remain the test of choice to identify impairment of upper motor neurons. New biochemical, neurophysiological and morphological biomarkers are extensively studied as early diagnostic and prognostic factors and have implications for clinical trials, research and drug development.
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Affiliation(s)
- Ivana Štětkářová
- Department of Neurology, Third Faculty of Medicine, Charles University and Faculty Hospital Královské Vinohrady, 100 34 Prague, Czech Republic
| | - Edvard Ehler
- Neurological Department, Faculty of Health Studies, Pardubice University and Pardubice Regional Hospital, 530 03 Pardubice, Czech Republic;
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22
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Tae WS, Sung JH, Baek SH, Lee CN, Kim BJ. Shape Analysis of the Subcortical Nuclei in Amyotrophic Lateral Sclerosis without Cognitive Impairment. J Clin Neurol 2020; 16:592-598. [PMID: 33029965 PMCID: PMC7541997 DOI: 10.3988/jcn.2020.16.4.592] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 05/25/2020] [Accepted: 05/26/2020] [Indexed: 12/20/2022] Open
Abstract
Background and Purpose Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that mainly affects the pyramidal motor system. However, recent studies have suggested that degeneration of the extramotor system plays a role in the disability experienced by patients with ALS. We investigated the local shape changes and mean volumes of the subcortical nuclei in sporadic ALS patients with preserved cognition. Methods The participants comprised 32 patients with ALS and 43 age- and sex-matched healthy controls. Three-dimensional T1-weighted structural images were acquired. Surface-based vertex analysis was performed with fully automated segmentation of both amygdalae, hippocampi, caudate nuclei, nuclei accumbens, putamina, pallida, and thalami, and the brainstem. The scalar distances from the mean surfaces of the individual subcortical nuclei were compared between groups, and correlations of the local shape distances with initial Amyotrophic Lateral Sclerosis Functional Rating Scale Revised (ALS-FRS-R) scores and the delta FRS-R and with the disease duration were analyzed. Results ALS patients showed regional shape contractions on the lateral surfaces of both pallida, the lateroposterior surface of the right putamen, and the anterior basal surface of the right accumbens. Delta FRS-R scores were negatively correlated with local shape distances in the right hippocampus and the putamina. However, the initial ALS-FRS-R score and disease duration were not correlated with local shape distances. Conclusions Subcortical gray-matter structures are involved in the neurodegenerative process of ALS before cognitive impairment becomes evident.
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Affiliation(s)
- Woo Suk Tae
- Brain Convergence Research Center, Korea University, Seoul, Korea
| | - Joo Hye Sung
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Seol Hee Baek
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chan Nyoung Lee
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Byung Jo Kim
- Brain Convergence Research Center, Korea University, Seoul, Korea.,Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
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23
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Kamiya K, Hori M, Aoki S. NODDI in clinical research. J Neurosci Methods 2020; 346:108908. [PMID: 32814118 DOI: 10.1016/j.jneumeth.2020.108908] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 08/08/2020] [Accepted: 08/09/2020] [Indexed: 12/11/2022]
Abstract
Diffusion MRI (dMRI) has proven to be a useful imaging approach for both clinical diagnosis and research investigating the microstructures of nervous tissues, and it has helped us to better understand the neurophysiological mechanisms of many diseases. Though diffusion tensor imaging (DTI) has long been the default tool to analyze dMRI data in clinical research, acquisition with stronger diffusion weightings beyond the DTI regimen is now possible with modern clinical scanners, potentially enabling even more detailed characterization of tissue microstructures. To take advantage of such data, neurite orientation dispersion and density imaging (NODDI) has been proposed as a way to relate the dMRI signal to tissue features via biophysically inspired modeling. The number of reports demonstrating the potential clinical utility of NODDI is rapidly increasing. At the same time, the pitfalls and limitations of NODDI, and general challenges in microstructure modeling, are becoming increasingly recognized by clinicians. dMRI microstructure modeling is a rapidly evolving field with great promise, where people from different scientific backgrounds, such as physics, medicine, biology, neuroscience, and statistics, are collaborating to build novel tools that contribute to improving human healthcare. Here, we review the applications of NODDI in clinical research and discuss future perspectives for investigations toward the implementation of dMRI microstructure imaging in clinical practice.
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Affiliation(s)
- Kouhei Kamiya
- Department of Radiology, The University of Tokyo, Tokyo, Japan; Department of Radiology, Juntendo University, Tokyo, Japan; Department of Radiology, Toho University, Tokyo, Japan.
| | - Masaaki Hori
- Department of Radiology, Juntendo University, Tokyo, Japan; Department of Radiology, Toho University, Tokyo, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University, Tokyo, Japan
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24
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Goyal NA, Berry JD, Windebank A, Staff NP, Maragakis NJ, van den Berg LH, Genge A, Miller R, Baloh RH, Kern R, Gothelf Y, Lebovits C, Cudkowicz M. Addressing heterogeneity in amyotrophic lateral sclerosis CLINICAL TRIALS. Muscle Nerve 2020; 62:156-166. [PMID: 31899540 PMCID: PMC7496557 DOI: 10.1002/mus.26801] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/30/2019] [Accepted: 12/31/2019] [Indexed: 12/12/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disorder with complex biology and significant clinical heterogeneity. Many preclinical and early phase ALS clinical trials have yielded promising results that could not be replicated in larger phase 3 confirmatory trials. One reason for the lack of reproducibility may be ALS biological and clinical heterogeneity. Therefore, in this review, we explore sources of ALS heterogeneity that may reduce statistical power to evaluate efficacy in ALS trials. We also review efforts to manage clinical heterogeneity, including use of validated disease outcome measures, predictive biomarkers of disease progression, and individual clinical risk stratification. We propose that personalized prognostic models with use of predictive biomarkers may identify patients with ALS for whom a specific therapeutic strategy may be expected to be more successful. Finally, the rapid application of emerging clinical and biomarker strategies may reduce heterogeneity, increase trial efficiency, and, in turn, accelerate ALS drug development.
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Affiliation(s)
| | - James D. Berry
- Healey Center at Massachusetts General HospitalBostonMassachusetts
| | | | | | | | | | - Angela Genge
- Montreal Neurological Institute and HospitalMontreal, QuebecCanada
| | - Robert Miller
- California Pacific Medical CenterSan FranciscoCalifornia
| | - Robert H. Baloh
- Robert H. Baloh, Cedars‐Sinai Medical CenterCaliforniaLos Angeles
| | - Ralph Kern
- Brainstorm Cell TherapeuticsNew YorkNew York
| | | | | | - Merit Cudkowicz
- Healey Center at Massachusetts General HospitalBostonMassachusetts
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25
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Bendotti C, Bonetto V, Pupillo E, Logroscino G, Al-Chalabi A, Lunetta C, Riva N, Mora G, Lauria G, Weishaupt JH, Agosta F, Malaspina A, Basso M, Greensmith L, Van Den Bosch L, Ratti A, Corbo M, Hardiman O, Chiò A, Silani V, Beghi E. Focus on the heterogeneity of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:485-495. [PMID: 32583689 DOI: 10.1080/21678421.2020.1779298] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
The clinical manifestations of amyotrophic lateral sclerosis (ALS) are variable in terms of age at disease onset, site of onset, progression of symptoms, motor neuron involvement, and the occurrence of cognitive and behavioral changes. Genetic background is a key determinant of the ALS phenotype. The mortality of the disease also varies with the ancestral origin of the affected population and environmental factors are likely to be associated with ALS at least within some cohorts. Disease heterogeneity is likely underpinned by the presence of different pathogenic mechanisms. A variety of ALS animal models can be informative about the heterogeneity of the neuropathological or genetic aspects of the disease and can support the development of new therapeutic intervention. Evolving biomarkers can contribute to the identification of differing genotypes and phenotypes, and can be used to explore whether genotypic and phenotypic differences in animal models might help to provide a better definition of the heterogeneity of ALS in humans. These include neurofilaments, peripheral blood mononuclear cells, extracellular vesicles, microRNA and imaging findings. These biomarkers might predict not only the development of the disease, but also the variability in progression, although robust validation is required. A promising area of progress in modeling the heterogeneity of human ALS is represented by the use of human induced pluripotent stem cell (iPSCs)-derived motor neurons. Although the translational value of iPSCs remains unclear, this model is attractive in the perspective of replicating the heterogeneity of sporadic ALS as a first step toward a personalized medicine strategy.
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Affiliation(s)
- Caterina Bendotti
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Valentina Bonetto
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Elisabetta Pupillo
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Giancarlo Logroscino
- Department of Neurosciences and Sense Organs, Center for Neurodegenerative Diseases and the Aging Brain Università degli Studi di Bari, Bari; Fondazione Giovanni Panico Tricase, Lecce, Italy
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Christian Lunetta
- NEuroMuscular Omnicentre (NEMO), Serena Onlus Foundation, Milano, Italy
| | - Nilo Riva
- Neuroimaging Research Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milano, Italy
| | - Gabriela Mora
- Department of Neurorehabilitation, ICS Maugeri IRCCS, Milano, Italy
| | - Giuseppe Lauria
- Unit of Neurology, Motor Neuron Disease Center, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy.,Department of Biomedical and Clinical Sciences "Lduigi Sacco", University of Milan, Milan, Italy
| | | | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milano, Italy
| | | | - Manuela Basso
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.,Department of Cellular, Computational and Integrative Biology (CIBIO), Università degli Studi di Trento, Trento, Italy
| | - Linda Greensmith
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Ludo Van Den Bosch
- Center for Brain & Disease Research (VIB) and Laboratory of Neurobiology (KU Leuven), Leuven, Belgium
| | - Antonia Ratti
- Department of Neurology - Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano, IRCCS, Milano, Italy.,Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milano, Italy
| | - Massimo Corbo
- Department of Neurorehabilitation Sciences, Casa Cura Policlinico (CCP), Milano, Italy
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland
| | - Adriano Chiò
- "Rita Levi Montalcini" Department of Neuroscience, Università degli Studi di Torino, Torino, Italy
| | - Vincenzo Silani
- Department of Neurology - Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano, IRCCS, Milano, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Ettore Beghi
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
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26
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Kadena K, Vlamos P. Amyotrophic Lateral Sclerosis: Current Status in Diagnostic Biomarkers. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1195:179-187. [PMID: 32468476 DOI: 10.1007/978-3-030-32633-3_26] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a rare, neurodegenerative disease that affects the human motor system. ALS is a highly heterogeneous disease, depending on several causative factors. The heterogeneity of the disease is also reflected in the variation of the symptoms in ALS patients. The worldwide annual incidence of ALS is about 2.08 per 100,000 with uniform rates in Caucasian populations and lower rates in African, Asian, and Hispanic populations, while the number of individuals with ALS is expected to grow significantly between 2015 and 2040 with an estimated increase of 69% (Chio et al. 2013a; Arthur et al. 2016).
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Affiliation(s)
- Katerina Kadena
- Department of Informatics, Ionian University, Corfu, Greece.
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27
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Meier JM, van der Burgh HK, Nitert AD, Bede P, de Lange SC, Hardiman O, van den Berg LH, van den Heuvel MP. Connectome-Based Propagation Model in Amyotrophic Lateral Sclerosis. Ann Neurol 2020; 87:725-738. [PMID: 32072667 PMCID: PMC7186838 DOI: 10.1002/ana.25706] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/14/2020] [Accepted: 02/15/2020] [Indexed: 02/04/2023]
Abstract
OBJECTIVE Clinical trials in amyotrophic lateral sclerosis (ALS) continue to rely on survival or functional scales as endpoints, despite the emergence of quantitative biomarkers. Neuroimaging-based biomarkers in ALS have been shown to detect ALS-associated pathology in vivo, although anatomical patterns of disease spread are poorly characterized. The objective of this study is to simulate disease propagation using network analyses of cerebral magnetic resonance imaging (MRI) data to predict disease progression. METHODS Using brain networks of ALS patients (n = 208) and matched controls across longitudinal time points, network-based statistics unraveled progressive network degeneration originating from the motor cortex and expanding in a spatiotemporal manner. We applied a computational model to the MRI scan of patients to simulate this progressive network degeneration. Simulated aggregation levels at the group and individual level were validated with empirical impairment observed at later time points of white matter and clinical decline using both internal and external datasets. RESULTS We observe that computer-simulated aggregation levels mimic true disease patterns in ALS patients. Simulated patterns of involvement across cortical areas show significant overlap with the patterns of empirically impaired brain regions on later scans, at both group and individual levels. These findings are validated using an external longitudinal dataset of 30 patients. INTERPRETATION Our results are in accordance with established pathological staging systems and may have implications for patient stratification in future clinical trials. Our results demonstrate the utility of computational models in ALS to predict disease progression and underscore their potential as a prognostic biomarker. ANN NEUROL 2020;87:725-738.
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Affiliation(s)
- Jil M. Meier
- Department of Neurology, UMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrechtthe Netherlands
| | - Hannelore K. van der Burgh
- Department of Neurology, UMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrechtthe Netherlands
| | - Abram D. Nitert
- Department of Neurology, UMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrechtthe Netherlands
| | - Peter Bede
- Computational Neuroimaging GroupTrinity Biomedical Sciences Institute, Trinity College DublinDublinIreland
- Department of NeurologyPitié‐Salpêtrière University HospitalParisFrance
- Biomedical Imaging Laboratory, Sorbonne University, National Center for Scientific ResearchNational Institute of Health and Medical ResearchParisFrance
| | - Siemon C. de Lange
- Dutch Connectome Lab, Center for Neurogenomics and Cognitive Research, Amsterdam NeuroscienceFree University AmsterdamAmsterdamthe Netherlands
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences InstituteTrinity College DublinDublinIreland
- Department of NeurologyBeaumont HospitalDublinIreland
| | - Leonard H. van den Berg
- Department of Neurology, UMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrechtthe Netherlands
| | - Martijn P. van den Heuvel
- Dutch Connectome Lab, Center for Neurogenomics and Cognitive Research, Amsterdam NeuroscienceFree University AmsterdamAmsterdamthe Netherlands
- Department of Clinical GeneticsAmsterdam University Medical CenterAmsterdamthe Netherlands
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28
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Southon A, Szostak K, Acevedo KM, Dent KA, Volitakis I, Belaidi AA, Barnham KJ, Crouch PJ, Ayton S, Donnelly PS, Bush AI. Cu II (atsm) inhibits ferroptosis: Implications for treatment of neurodegenerative disease. Br J Pharmacol 2020; 177:656-667. [PMID: 31655003 DOI: 10.1111/bph.14881] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 09/13/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND PURPOSE Diacetyl-bis(4-methyl-3-thiosemicarbazonato)copperII (CuII (atsm)) ameliorates neurodegeneration and delays disease progression in mouse models of amyotrophic lateral sclerosis (ALS) and Parkinson's disease (PD), yet the mechanism of action remains uncertain. Promising results were recently reported for separate Phase 1 studies in ALS patients and PD patients. Affected tissue in these disorders shares features of elevated Fe, low glutathione and increased lipid peroxidation consistent with ferroptosis, a novel form of regulated cell death. We therefore evaluated the ability of CuII (atsm) to inhibit ferroptosis. EXPERIMENTAL APPROACH Ferroptosis was induced in neuronal cell models by inhibition of glutathione peroxidase-4 activity with RSL3 or by blocking cystine uptake with erastin. Cell viability and lipid peroxidation were assessed and the efficacy of CuII (atsm) was compared to the known antiferroptotic compound liproxstatin-1. KEY RESULTS CuII (atsm) protected against lipid peroxidation and ferroptotic lethality in primary and immortalised neuronal cell models (EC50 : ≈130 nM, within an order of magnitude of liproxstatin-1). NiII (atsm) also prevented ferroptosis with similar potency, whereas ionic CuII did not. In cell-free systems, CuII (atsm) and NiII (atsm) inhibited FeII -induced lipid peroxidation, consistent with these compounds quenching lipid radicals. CONCLUSIONS AND IMPLICATIONS The antiferroptotic activity of CuII (atsm) could therefore be the disease-modifying mechanism being tested in ALS and PD trials. With potency in vitro approaching that of liproxstatin-1, CuII (atsm) possesses favourable properties such as oral bioavailability and entry into the brain that make it an attractive investigational product for clinical trials of ferroptosis-related diseases.
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Affiliation(s)
- Adam Southon
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Kathryn Szostak
- School of Chemistry and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Victoria, Australia
| | - Karla M Acevedo
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Krista A Dent
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Irene Volitakis
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Abdel A Belaidi
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Kevin J Barnham
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Peter J Crouch
- Department of Pharmacology and Therapeutics, The University of Melbourne, Victoria, Australia
| | - Scott Ayton
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Paul S Donnelly
- School of Chemistry and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Victoria, Australia
| | - Ashley I Bush
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
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29
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Jenkins TM, Alix JJP, Fingret J, Esmail T, Hoggard N, Baster K, McDermott CJ, Wilkinson ID, Shaw PJ. Longitudinal multi-modal muscle-based biomarker assessment in motor neuron disease. J Neurol 2019; 267:244-256. [PMID: 31624953 PMCID: PMC6954906 DOI: 10.1007/s00415-019-09580-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 10/11/2019] [Accepted: 10/14/2019] [Indexed: 12/29/2022]
Abstract
Background Clinical phenotypic heterogeneity represents a major barrier to trials in motor neuron disease (MND) and objective surrogate outcome measures are required, especially for slowly progressive patients. We assessed responsiveness of clinical, electrophysiological and radiological muscle-based assessments to detect MND-related progression. Materials and methods A prospective, longitudinal cohort study of 29 MND patients and 22 healthy controls was performed. Clinical measures, electrophysiological motor unit number index/size (MUNIX/MUSIX) and relative T2- and diffusion-weighted whole-body muscle magnetic resonance (MR) were assessed three times over 12 months. Multi-variable regression models assessed between-group differences, clinico-electrophysiological associations, and longitudinal changes. Standardized response means (SRMs) assessed sensitivity to change over 12 months. Results MND patients exhibited 18% higher whole-body mean muscle relative T2-signal than controls (95% CI 7–29%, p < 0.01), maximal in leg muscles (left tibialis anterior 71% (95% CI 33–122%, p < 0.01). Clinical and electrophysiological associations were evident. By 12 months, 16 patients had died or could not continue. In the remainder, relative T2-signal increased over 12 months by 14–29% in right tibialis anterior, right quadriceps, bilateral hamstrings and gastrocnemius/soleus (p < 0.01), independent of onset-site, and paralleled progressive weakness and electrophysiological loss of motor units. Highest clinical, electrophysiological and radiological SRMs were found for revised ALS-functional rating scale scores (1.22), tibialis anterior MUNIX (1.59), and relative T2-weighted leg muscle MR (right hamstrings: 0.98), respectively. Diffusion MR detected minimal changes. Conclusion MUNIX and relative T2-weighted MR represent objective surrogate markers of progressive denervation in MND. Radiological changes were maximal in leg muscles, irrespective of clinical onset-site. Electronic supplementary material The online version of this article (10.1007/s00415-019-09580-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Thomas M Jenkins
- Sheffield Institute for Translational Neuroscience, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK. .,Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
| | - James J P Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK.,Departments of Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Jacob Fingret
- Sheffield Institute for Translational Neuroscience, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK
| | - Taniya Esmail
- Sheffield Institute for Translational Neuroscience, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK
| | - Nigel Hoggard
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Kathleen Baster
- Statistics Services Unit, School of Mathematics and Statistics, University of Sheffield, Sheffield, UK
| | - Christopher J McDermott
- Sheffield Institute for Translational Neuroscience, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK.,Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Iain D Wilkinson
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK.,Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
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30
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Fortanier E, Grapperon AM, Le Troter A, Verschueren A, Ridley B, Guye M, Attarian S, Ranjeva JP, Zaaraoui W. Structural Connectivity Alterations in Amyotrophic Lateral Sclerosis: A Graph Theory Based Imaging Study. Front Neurosci 2019; 13:1044. [PMID: 31632235 PMCID: PMC6783612 DOI: 10.3389/fnins.2019.01044] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 09/17/2019] [Indexed: 12/15/2022] Open
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a relentlessly progressive neurodegenerative disorder. Diffusion magnetic resonance imagining (MRI) studies have consistently showed widespread alterations in both motor and non-motor brain regions. However, connectomics and graph theory based approaches have shown inconsistent results. Hub-centered lesion patterns and their impact on local and large-scale brain networks remain to be established. The objective of this work is to characterize topological properties of structural brain connectivity in ALS using an array of local, global and hub-based network metrics. Materials and Methods Magnetic resonance imagining data were acquired from 25 patients with ALS and 26 age-matched healthy controls. Structural network graphs were constructed from diffusion tensor MRI. Network-based statistics (NBS) and graph theory metrics were used to compare structural networks without a priori regions of interest. Results Patients with ALS exhibited global network alterations with decreased global efficiency (Eglob) (p = 0.03) and a trend of reduced whole brain mean degree (p = 0.05) compared to controls. Six nodes showed significantly decreased mean degree in ALS: left postcentral gyrus, left interparietal and transverse parietal sulcus, left calcarine sulcus, left occipital temporal medial and lingual sulcus, right precentral gyrus and right frontal inferior sulcus (p < 0.01). Hub distribution was comparable between the two groups. There was no selective hub vulnerability or topological reorganization centered on these regions as the hub disruption index (κ) was not significant for the relevant metrics (degree, local efficiency and betweenness centrality). Using NBS, we identified an impaired motor subnetwork of 11 nodes and 10 edges centered on the precentral and the paracentral nodes (p < 0.01). Significant clinical correlations were identified between degree in the frontal area and the disease progression rate of ALS patients (p < 0.01). Conclusion Our study provides evidence that alterations of structural connectivity in ALS are primarily driven by node degree and white matter tract degeneration within an extended network around the precentral and the paracentral areas without hub-centered reorganization.
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Affiliation(s)
- Etienne Fortanier
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Aude-Marie Grapperon
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Arnaud Le Troter
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Annie Verschueren
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Ben Ridley
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Maxime Guye
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Shahram Attarian
- APHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France.,Aix Marseille Univ, INSERM, GMGF, Marseille, France
| | - Jean-Philippe Ranjeva
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Wafaa Zaaraoui
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,APHM, Hôpital de la Timone, CEMEREM, Marseille, France
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31
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Magalhães SC, Queiroz de Paiva JP, Kaelin-Lang A, Sterr A, Eckeli AL, Winkler AM, Fernandes do Prado G, Amaro E, Conforto AB. Short-interval intracortical inhibition is decreased in restless legs syndrome across a range of severity. Sleep Med 2019; 62:34-42. [PMID: 31539846 DOI: 10.1016/j.sleep.2019.03.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 03/10/2019] [Accepted: 03/12/2019] [Indexed: 01/18/2023]
Abstract
BACKGROUND Decreased short-interval intracortical inhibition (SICI) to transcranial magnetic stimulation (TMS) of the primary motor cortex was described in subjects with restless legs syndrome/Willis-Ekbom disease (RLS/WED). It remained to be determined whether the magnitude of SICI decrease would be similar across levels of RLS/WED severity. Moreover, it was unknown whether, in addition to decreases in SICI, changes in cortical thickness or area could be detected in subjects with RLS/WED compared to controls. The objective of this study was to compare SICI, cortical thickness, and cortical area in subjects with idiopathic mild to moderate RLS/WED, severe to very severe RLS/WED, and controls. METHODS The severity of RLS/WED was assessed by the International Restless Legs Syndrome Severity Scale (IRLSS). SICI and 3T magnetic resonance imaging (MRI) data of subjects with RLS/WED and controls were compared. A receiver operating characteristic curve for SICI was designed for discrimination of participants with RLS/WED from controls. Cortical thickness and area were assessed by automated surface-based analysis. RESULTS SICI was significantly reduced in patients with mild to moderate and severe to very severe RLS/WED, compared to controls (one-way analysis of variance: F = 9.62, p < 0.001). Receiver operating characteristic curve analysis predicted RLS/WED when SICI was above 35% (area under the curve = 0.79, 95% CI 0.67-0.91, p < 0.001). Analyses of the whole brain and of regions of interest did not reveal differences in gray matter thickness or area between controls and subjects with RLS/WED. CONCLUSION SICI is an accurate cortical biomarker that can support the diagnosis of RLS/WED even in subjects with mild symptoms, but cortical thickness and area were not useful for discriminating subjects with this condition from controls.
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Affiliation(s)
- Samir Câmara Magalhães
- Hospital Israelita Albert Einstein, São Paulo, SP, Brazil; Universidade de Fortaleza, Unifor, Fortaleza, CE, Brazil.
| | | | | | - Annette Sterr
- Department of Psychology, University of Surrey, Guildford, Surrey, UK
| | - Alan Luiz Eckeli
- Departamento de Neurociências e Ciências do Comportamento, Divisão de Neurologia, Hospital das Clínicas da Faculdade de Medicina da USP-Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | | | - Edson Amaro
- Hospital Israelita Albert Einstein, São Paulo, SP, Brazil; Departamento de Radiologia, Hospital das Clínicas, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Adriana Bastos Conforto
- Hospital Israelita Albert Einstein, São Paulo, SP, Brazil; Departamento de Neurologia, Hospital das Clínicas, Universidade de São Paulo, São Paulo, SP, Brazil
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32
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Motor cortex metabolite alterations in amyotrophic lateral sclerosis assessed in vivo using edited and non-edited magnetic resonance spectroscopy. Brain Res 2019; 1718:22-31. [PMID: 31002818 DOI: 10.1016/j.brainres.2019.04.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 03/09/2019] [Accepted: 04/15/2019] [Indexed: 12/11/2022]
Abstract
Previous MRI and proton spectroscopy (1H-MRS) studies have revealed impaired neuronal integrity and altered neurometabolite concentrations in the motor cortex of patients with amyotrophic lateral sclerosis (ALS). Here, we aim to use MRI with conventional and novel MRS sequences to further investigate neurometabolic changes in the motor cortex of ALS patients and their relation to clinical parameters. We utilized the novel HERMES (Hadamard Encoding and Reconstruction of MEGA-Edited Spectroscopy) MRS sequence to simultaneously quantify the inhibitory neurotransmitter GABA and antioxidant glutathione in ALS patients (n = 7) and healthy controls (n = 7). In addition, we have also quantified other MRS observable neurometabolites using a conventional point-resolved MR spectroscopy (PRESS) sequence in ALS patients (n = 20) and healthy controls (n = 20). We observed a trend towards decreasing glutathione concentrations in the motor cortex of ALS patients (p = 0.0842). In addition, we detected a 11% decrease in N-acetylaspartate (NAA) (p = 0.025), a 15% increase in glutamate + glutamine (Glx) (p = 0.0084) and a 21% increase in myo-inositol (mIns) (p = 0.0051) concentrations for ALS patients compared to healthy controls. Furthermore, significant positive correlations were found between GABA-NAA (p = 0.0480; Rρ = 0.7875) and NAA-mIns (p = 0.0448; Rρ = -0.4651) levels among the patients. NAA levels in the bulbar-onset patient group were found to be significantly (p = 0.0097) lower compared to the limb-onset group. A strong correlation (p < 0.0001; Rρ = -0,8801) for mIns and a weak correlation (p = 0.0066; Rρ = -0,6673) for Glx was found for the disease progression, measured by declining of the ALS Functional Rating Scale-Revised criteria (ALSFRS-R). Concentrations of mIns and Glx also correlated with disease severity measured by forced vital capacity (FVC). Results suggest that mean neurometabolite concentrations detected in the motor cortex may indicate clinical and pathological changes in ALS.
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33
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Chipika RH, Finegan E, Li Hi Shing S, Hardiman O, Bede P. Tracking a Fast-Moving Disease: Longitudinal Markers, Monitoring, and Clinical Trial Endpoints in ALS. Front Neurol 2019; 10:229. [PMID: 30941088 PMCID: PMC6433752 DOI: 10.3389/fneur.2019.00229] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Accepted: 02/22/2019] [Indexed: 12/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) encompasses a heterogeneous group of phenotypes with different progression rates, varying degree of extra-motor involvement and divergent progression patterns. The natural history of ALS is increasingly evaluated by large, multi-time point longitudinal studies, many of which now incorporate presymptomatic and post-mortem assessments. These studies not only have the potential to characterize patterns of anatomical propagation, molecular mechanisms of disease spread, but also to identify pragmatic monitoring markers. Sensitive markers of progressive neurodegenerative change are indispensable for clinical trials and individualized patient care. Biofluid markers, neuroimaging indices, electrophysiological markers, rating scales, questionnaires, and other disease-specific instruments have divergent sensitivity profiles. The discussion of candidate monitoring markers in ALS has a dual academic and clinical relevance, and is particularly timely given the increasing number of pharmacological trials. The objective of this paper is to provide a comprehensive and critical review of longitudinal studies in ALS, focusing on the sensitivity profile of established and emerging monitoring markers.
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Affiliation(s)
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
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Shen DC, Xu YY, Hou B, Tai HF, Zhang K, Liu SW, Wang ZL, Feng F, Liu MS, Cui LY. Monitoring Value of Multimodal Magnetic Resonance Imaging in Disease Progression of Amyotrophic Lateral Sclerosis: A Prospective Observational Study. Chin Med J (Engl) 2018; 131:2904-2909. [PMID: 30539901 PMCID: PMC6302648 DOI: 10.4103/0366-6999.247214] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background: Ongoing efforts have been made to identify new neuroimaging markers to track amyotrophic lateral sclerosis (ALS) progression. This study aimed to explore the monitoring value of multimodal magnetic resonance imaging (MRI) in the disease progression of ALS. Methods: From September 2015 to March 2017, ten patients diagnosed with ALS in Peking Union Medical College Hospital completed head MRI scans at baseline and during follow-up. Multimodal MRI analyses, including gray matter (GM) volume measured by voxel-based morphometry; cerebral blood flow (CBF) evaluated by arterial spin labeling; functional connectivity, including low-frequency fluctuation (fALFF) and regional homogeneity (ReHo), measured by resting-state functional MRI; and integrity of white-matter (WM) fiber tracts evaluated by diffusion tensor imaging, were performed in these patients. Comparisons of imaging metrics were made between baseline and follow-up using paired t-test. Results: In the longitudinal comparisons, the brain structure (GM volume of the right precentral gyri, left postcentral gyri, and right thalami) and perfusion (CBF of the bilateral temporal poles, left precentral gyri, postcentral gyri, and right middle temporal gyri) in both motor and extramotor areas at follow-up were impaired to different extents when compared with those at baseline (all P < 0.05, false discovery rate adjusted). Functional connectivity was increased in the motor areas (fALFF of the right precentral gyri and superior frontal gyri, and ReHo of right precentral gyri) and decreased in the extramotor areas (fALFF of the bilateral middle frontal gyri and ReHo of the right precuneus and cingulate gyri) (all P < 0.001, unadjusted). No significant changes were detected in terms of brain WM measures. Conclusion: Multimodal MRI could be used to monitor short-term brain changes in ALS patients.
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Affiliation(s)
- Dong-Chao Shen
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yin-Yan Xu
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Bo Hou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Hong-Fei Tai
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Kang Zhang
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Shuang-Wu Liu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Zhi-Li Wang
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Feng Feng
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ming-Sheng Liu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Li-Ying Cui
- Department of Neurology, Peking Union Medical College Hospital; Neuroscience Center, Chinese Academy of Medical Sciences, Beijing 100730, China
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Barritt AW, Gabel MC, Cercignani M, Leigh PN. Emerging Magnetic Resonance Imaging Techniques and Analysis Methods in Amyotrophic Lateral Sclerosis. Front Neurol 2018; 9:1065. [PMID: 30564192 PMCID: PMC6288229 DOI: 10.3389/fneur.2018.01065] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 11/22/2018] [Indexed: 12/17/2022] Open
Abstract
Objective markers of disease sensitive to the clinical activity, symptomatic progression, and underlying substrates of neurodegeneration are highly coveted in amyotrophic lateral sclerosis in order to more eloquently stratify the highly heterogeneous phenotype and facilitate the discovery of effective disease modifying treatments for patients. Magnetic resonance imaging (MRI) is a promising, non-invasive biomarker candidate whose acquisition techniques and analysis methods are undergoing constant evolution in the pursuit of parameters which more closely represent biologically-applicable tissue changes. Neurite Orientation Dispersion and Density Imaging (NODDI; a form of diffusion imaging), and quantitative Magnetization Transfer Imaging (qMTi) are two such emerging modalities which have each broadened the understanding of other neurological disorders and have the potential to provide new insights into structural alterations initiated by the disease process in ALS. Furthermore, novel neuroimaging data analysis approaches such as Event-Based Modeling (EBM) may be able to circumvent the requirement for longitudinal scanning as a means to comprehend the dynamic stages of neurodegeneration in vivo. Combining these and other innovative imaging protocols with more sophisticated techniques to analyse ever-increasing datasets holds the exciting prospect of transforming understanding of the biological processes and temporal evolution of the ALS syndrome, and can only benefit from multicentre collaboration across the entire ALS research community.
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Affiliation(s)
- Andrew W Barritt
- Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Falmer, United Kingdom.,Hurstwood Park Neurological Centre Haywards Heath, West Sussex, United Kingdom
| | - Matt C Gabel
- Department of Neuroscience, Trafford Centre for Biomedical Research Brighton and Sussex Medical School, Falmer, United Kingdom
| | - Mara Cercignani
- Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Falmer, United Kingdom
| | - P Nigel Leigh
- Hurstwood Park Neurological Centre Haywards Heath, West Sussex, United Kingdom.,Department of Neuroscience, Trafford Centre for Biomedical Research Brighton and Sussex Medical School, Falmer, United Kingdom
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Radakovic R, Puthusseryppady V, Flanagan E, Kiernan MC, Mioshi E, Hornberger M. Frontostriatal grey matter atrophy in amyotrophic lateral sclerosis A visual rating study. Dement Neuropsychol 2018; 12:388-393. [PMID: 30546849 PMCID: PMC6289478 DOI: 10.1590/1980-57642018dn12-040008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is characterised by frontostriatal grey matter changes similar to those in frontotemporal dementia (FTD). However, these changes are usually detected at a group level, and simple visual magnetic resonance imaging (MRI) cortical atrophy scales may further elucidate frontostriatal changes in ALS.
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Affiliation(s)
- Ratko Radakovic
- Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK.,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK.,Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK
| | | | - Emma Flanagan
- Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
| | | | - Eneida Mioshi
- Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
| | - Michael Hornberger
- Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
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Olney NT, Bischof A, Rosen H, Caverzasi E, Stern WA, Lomen-Hoerth C, Miller BL, Henry RG, Papinutto N. Measurement of spinal cord atrophy using phase sensitive inversion recovery (PSIR) imaging in motor neuron disease. PLoS One 2018; 13:e0208255. [PMID: 30496320 PMCID: PMC6264489 DOI: 10.1371/journal.pone.0208255] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 11/14/2018] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The spectrum of motor neuron disease (MND) includes numerous phenotypes with various life expectancies. The degree of upper and lower motor neuron involvement can impact prognosis. Phase sensitive inversion recovery (PSIR) imaging has been shown to detect in vivo gray matter (GM) and white matter (WM) atrophy in the spinal cord of other patient populations but has not been explored in MND. METHODS In this study, total cord, WM and GM areas of ten patients with a diagnosis within the MND spectrum were compared to those of ten healthy controls (HC). Patients' diagnosis included amyotrophic lateral sclerosis (ALS), primary lateral sclerosis, primary muscular atrophy, facial onset sensory and motor neuronopathy and ALS-Frontotemporal dementia. Axial 2D PSIR images were acquired at four cervical disc levels (C2-C3, C3-C4, C5-C6 and C7-T1) with a short acquisition time (2 minutes) protocol. Total cross-sectional areas (TCA), GM and WM areas were measured using a combination of highly reliable manual and semi-automated methods. Cord areas in MND patients were compared with HC using linear regression analyses adjusted for age and sex. Correlation of WM and GM areas in MND patients was explored to gain insights into underlying atrophy patterns. RESULTS MND patients as a group had significantly smaller cervical cord GM area compared to HC at all four levels (C2-C3: p = .009; C3-C4: p = .001; C5-C6: p = .006; C7-T1: p = .002). WM area at C5-C6 level was significantly smaller (p = .001). TCA was significantly smaller at C3-C4 (p = .018) and C5-C6 (p = .002). No significant GM and WM atrophy was detected in the two patients with predominantly bulbar phenotype. Concomitant GM and WM atrophy was detected in solely upper or lower motor neuron level phenotypes. There was a significant correlation between GM and WM areas at all four levels in this diverse population of MND. CONCLUSION Spinal cord GM and WM atrophy can be detected in vivo in patients within the MND spectrum using a short acquisition time 2D PSIR imaging protocol. PSIR imaging shows promise as a method for quantifying spinal cord involvement and thus may be useful for diagnosis, prognosis and for monitoring disease progression.
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Affiliation(s)
- Nicholas T. Olney
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, California, United States of America
- Department of Neurology, University of California San Francisco Amyotrophic Lateral Sclerosis Center, University of California San Francisco, San Francisco, California, United States of America
- * E-mail:
| | - Antje Bischof
- Department of Neurology, University of California San Francisco, San Francisco, California, United States of America
- Department of Neurology and Immunology Clinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, Basel, Switzerland
| | - Howard Rosen
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, California, United States of America
| | - Eduardo Caverzasi
- Department of Neurology, University of California San Francisco, San Francisco, California, United States of America
| | - William A. Stern
- Department of Neurology, University of California San Francisco, San Francisco, California, United States of America
| | - Catherine Lomen-Hoerth
- Department of Neurology, University of California San Francisco Amyotrophic Lateral Sclerosis Center, University of California San Francisco, San Francisco, California, United States of America
| | - Bruce L. Miller
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, California, United States of America
| | - Roland G. Henry
- Department of Neurology, University of California San Francisco, San Francisco, California, United States of America
| | - Nico Papinutto
- Department of Neurology, University of California San Francisco, San Francisco, California, United States of America
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Mazón M, Vázquez Costa JF, Ten-Esteve A, Martí-Bonmatí L. Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis. Front Neurosci 2018; 12:784. [PMID: 30410433 PMCID: PMC6209630 DOI: 10.3389/fnins.2018.00784] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 10/10/2018] [Indexed: 12/17/2022] Open
Abstract
The term amyotrophic lateral sclerosis (ALS) comprises a heterogeneous group of fatal neurodegenerative disorders of largely unknown etiology characterized by the upper motor neurons (UMN) and/or lower motor neurons (LMN) degeneration. The development of brain imaging biomarkers is essential to advance in the diagnosis, stratification and monitoring of ALS, both in the clinical practice and clinical trials. In this review, the characteristics of an optimal imaging biomarker and common pitfalls in biomarkers evaluation will be discussed. Moreover, the development and application of the most promising brain magnetic resonance (MR) imaging biomarkers will be reviewed. Finally, the integration of both qualitative and quantitative multimodal brain MR biomarkers in a structured report will be proposed as a support tool for ALS diagnosis and stratification.
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Affiliation(s)
- Miguel Mazón
- Radiology and Biomedical Imaging Research Group (GIBI230), La Fe University and Polytechnic Hospital and La Fe Health Research Institute, Valencia, Spain
| | - Juan Francisco Vázquez Costa
- Neuromuscular Research Unit, Instituto de Investigación Sanitaria la Fe (IIS La Fe), Valencia, Spain
- ALS Unit, Department of Neurology, Hospital Universitario y Politécnico La Fe, Valencia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Amadeo Ten-Esteve
- Radiology and Biomedical Imaging Research Group (GIBI230), La Fe University and Polytechnic Hospital and La Fe Health Research Institute, Valencia, Spain
| | - Luis Martí-Bonmatí
- Radiology and Biomedical Imaging Research Group (GIBI230), La Fe University and Polytechnic Hospital and La Fe Health Research Institute, Valencia, Spain
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Figueroa-Bonaparte S, Llauger J, Segovia S, Belmonte I, Pedrosa I, Montiel E, Montesinos P, Sánchez-González J, Alonso-Jiménez A, Gallardo E, Illa I, Díaz-Manera J. Quantitative muscle MRI to follow up late onset Pompe patients: a prospective study. Sci Rep 2018; 8:10898. [PMID: 30022036 PMCID: PMC6052002 DOI: 10.1038/s41598-018-29170-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 07/03/2018] [Indexed: 12/13/2022] Open
Abstract
Late onset Pompe disease (LOPD) is a slow, progressive disorder characterized by skeletal and respiratory muscle weakness. Enzyme replacement therapy (ERT) slows down the progression of muscle symptoms. Reliable biomarkers are needed to follow up ERT-treated and asymptomatic LOPD patients in clinical practice. In this study, 32 LOPD patients (22 symptomatic and 10 asymptomatic) underwent muscle MRI using 3-point Dixon and were evaluated at the time of the MRI with several motor function tests and patient-reported outcome measures, and again after one year. Muscle MRI showed a significant increase of 1.7% in the fat content of the thigh muscles in symptomatic LOPD patients. In contrast, there were no noteworthy differences between muscle function tests in the same period of time. We did not observe any significant changes either in muscle MRI or in muscle function tests in asymptomatic patients over the year. We conclude that 3-point Dixon muscle MRI is a useful tool for detecting changes in muscle structure in symptomatic LOPD patients and could become part of the current follow-up protocol in daily clinics.
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Affiliation(s)
- Sebastian Figueroa-Bonaparte
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Llauger
- Radiology department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sonia Segovia
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Madrid, Spain
| | - Izaskun Belmonte
- Rehabilitation and physiotherapy department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Irene Pedrosa
- Rehabilitation and physiotherapy department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Elena Montiel
- Rehabilitation and physiotherapy department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | | | - Alicia Alonso-Jiménez
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Eduard Gallardo
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Madrid, Spain
| | - Isabel Illa
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Madrid, Spain
| | | | - Jordi Díaz-Manera
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain. .,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Madrid, Spain.
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40
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Li W, Zhang J, Zhou C, Hou W, Hu J, Feng H, Zheng X. Abnormal Functional Connectivity Density in Amyotrophic Lateral Sclerosis. Front Aging Neurosci 2018; 10:215. [PMID: 30065647 PMCID: PMC6056617 DOI: 10.3389/fnagi.2018.00215] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 06/25/2018] [Indexed: 01/13/2023] Open
Abstract
Purpose: Amyotrophic lateral sclerosis (ALS) is a motor neuro-degenerative disorder that also damages extra-motor neural pathways. A significant proportion of existing evidence describe alterations in the strengths of functional connectivity, whereas the changes in the density of these functional connections have not been explored. Therefore, our study seeks to identify ALS-induced alternations in the resting-state functional connectivity density (FCD). Methods: Two groups comprising of 38 ALS patients and 35 healthy participants (age and gender matched) were subjected to the resting-state functional magnetic resonance imaging (MRI) scanning. An ultra-fast graph theory method known as FCD mapping was utilized to calculate the voxel-wise short- and long-range FCD values of the brain for each participant. FCD values of patients and controls were compared based on voxels in order to discern cerebral regions that possessed significant FCD alterations. For areas demonstrating a group effect of atypical FCD in ALS, seed-based functional connectivity analysis was then investigated. Partial correlation analyses were carried out between aberrant FCDs and several clinical variables, controlling for age, gender, and total intracranial volume. Results: Patients with ALS were found to have decreased short-range FCD in the primary motor cortex and increased long-range FCD in the premotor cortex. Extra-motor areas that also displayed extensive FCD alterations encompassed the temporal cortex, insula, cingulate gyrus, occipital cortex, and inferior parietal lobule. Seed-based correlation analysis further demonstrated that these regions also possessed disrupted functional connectivity. However, no significant correlations were identified between aberrant FCDs and clinical variables. Conclusion: FCD changes in the regions identified represent communication deficits and impaired functional brain dynamics, which might underlie the motor, motor control, language, visuoperceptual and high-order cognitive deficits in ALS. These findings support the fact that ALS is a disorder affecting multiple systems. We gain a deeper insight of the neural mechanisms underlying ALS.
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Affiliation(s)
- Weina Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing, China.,Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, China.,Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing, China
| | - Chaoyang Zhou
- Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China.,Department of Radiology, Chongqing University Cancer Hospital, Chongqing, China
| | - Wensheng Hou
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing, China.,Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China
| | - Jun Hu
- Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China.,Department of Neurology, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, China
| | - Hua Feng
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, China.,Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China
| | - Xiaolin Zheng
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing, China.,Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China
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Piaggio N, Pardini M, Roccatagliata L, Scialò C, Cabona C, Bonzano L, Inglese M, Mancardi GL, Caponnetto C. Cord cross-sectional area at foramen magnum as a correlate of disability in amyotrophic lateral sclerosis. Eur Radiol Exp 2018; 2:13. [PMID: 29984352 PMCID: PMC6015117 DOI: 10.1186/s41747-018-0045-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 04/12/2018] [Indexed: 11/10/2022] Open
Abstract
Spinal cord atrophy is one of the hallmarks of amyotrophic lateral sclerosis (ALS); however, it is not routinely assessed in routine clinical practice. In the present study, we evaluated whether spinal cord cross-sectional area measured at the foramen magnum level using a magnetic resonance imaging head scan represents a clinically meaningful measure to be added to the whole-brain volume assessment. Using an active surface approach, we measured the cord area at the foramen magnum and brain parenchymal fraction on T1-weighted three-dimensional spoiled gradient recalled head scans in two groups of subjects: 23 patients with ALS (males/females, 13/10; mean ± standard deviation [SD] age 61.7 ± 10.3 years; median ALS Functional Rating Scale-Revised score 39, range 27-46) and 18 age- and sex-matched healthy volunteers (mean ± SD age 55.7 ± 10.2 years). Spinal cord area at the foramen magnum was significantly less in patients than in control subjects and was significantly correlated with disability as measured with the ALS Functional Rating Scale-Revised (ρ = 0.593, p < 0.005). This correlation remained significant after taking into account inter-individual differences in brain parenchymal fraction (ρ = 0.684, p < 0.001). Our data show that spinal cord area at the foramen magnum correlates with disability in ALS independently of whole-brain atrophy, thus indicating its potential as a disease biomarker.
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Affiliation(s)
- Niccolò Piaggio
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Matteo Pardini
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Luca Roccatagliata
- 2Department of Health Sciences (DISSAL), University of Genova, Via Pastore 1, 16132 Genoa, Italy.,3Department of Diagnostic and Interventional Neuroradiology, IRCCS AOU San Martino - IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Carlo Scialò
- 4Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST; International School for Advanced Studies (SISSA), Via Bonomea 265, Trieste, Italy
| | - Corrado Cabona
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Laura Bonzano
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Matilde Inglese
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy.,5Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY USA.,6Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA.,7Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Giovanni L Mancardi
- 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Claudia Caponnetto
- IRCCS Azienda Ospedale Università San Martino-IST, Largo Rosanna Benzi 10, 16132 Genoa, Italy
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Jenkins TM, Alix JJP, David C, Pearson E, Rao DG, Hoggard N, O'Brien E, Baster K, Bradburn M, Bigley J, McDermott CJ, Wilkinson ID, Shaw PJ. Imaging muscle as a potential biomarker of denervation in motor neuron disease. J Neurol Neurosurg Psychiatry 2018; 89:248-255. [PMID: 29089397 PMCID: PMC5869448 DOI: 10.1136/jnnp-2017-316744] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 10/05/2017] [Accepted: 10/09/2017] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To assess clinical, electrophysiological and whole-body muscle MRI measurements of progression in patients with motor neuron disease (MND), as tools for future clinical trials, and to probe pathophysiological mechanisms in vivo. METHODS A prospective, longitudinal, observational, clinicoelectrophysiological and radiological cohort study was performed. Twenty-nine patients with MND and 22 age-matched and gender-matched healthy controls were assessed with clinical measures, electrophysiological motor unit number index (MUNIX) and T2-weighted whole-body muscle MRI, at first clinical presentation and 4 months later. Between-group differences and associations were assessed using age-adjusted and gender-adjusted multivariable regression models. Within-subject longitudinal changes were assessed using paired t-tests. Patterns of disease spread were modelled using mixed-effects multivariable regression, assessing associations between muscle relative T2 signal and anatomical adjacency to site of clinical onset. RESULTS Patients with MND had 30% higher relative T2 muscle signal than controls at baseline (all regions mean, 95% CI 15% to 45%, p<0.001). Higher T2 signal was associated with greater overall disability (coefficient -0.009, 95% CI -0.017 to -0.001, p=0.023) and with clinical weakness and lower MUNIX in multiple individual muscles. Relative T2 signal in bilateral tibialis anterior increased over 4 months in patients with MND (right: 10.2%, 95% CI 2.0% to 18.4%, p=0.017; left: 14.1%, 95% CI 3.4% to 24.9%, p=0.013). Anatomically, contiguous disease spread on MRI was not apparent in this model. CONCLUSIONS Whole-body muscle MRI offers a new approach to objective assessment of denervation over short timescales in MND and enables investigation of patterns of disease spread in vivo. Muscles inaccessible to conventional clinical and electrophysiological assessment may be investigated using this methodology.
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Affiliation(s)
- Thomas M Jenkins
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - James J P Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Charlotte David
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Eilish Pearson
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - D Ganesh Rao
- Department of Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Nigel Hoggard
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Eoghan O'Brien
- Statistical Services Unit, School of Mathematics and Statistics, University of Sheffield, Sheffield, UK
| | - Kathleen Baster
- Statistical Services Unit, School of Mathematics and Statistics, University of Sheffield, Sheffield, UK
| | - Michael Bradburn
- Clinical Trials Research Unit, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Julia Bigley
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Christopher J McDermott
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Iain D Wilkinson
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
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Stämpfli P, Sommer S, Czell D, Kozerke S, Neuwirth C, Weber M, Sartoretti-Schefer S, Seifritz E, Gutzeit A, Reischauer C. Investigation of Neurodegenerative Processes in Amyotrophic Lateral Sclerosis Using White Matter Fiber Density. Clin Neuroradiol 2018; 29:493-503. [DOI: 10.1007/s00062-018-0670-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 01/19/2018] [Indexed: 12/20/2022]
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Grolez G, Kyheng M, Lopes R, Moreau C, Timmerman K, Auger F, Kuchcinski G, Duhamel A, Jissendi-Tchofo P, Besson P, Laloux C, Petrault M, Devedjian JC, Pérez T, Pradat PF, Defebvre L, Bordet R, Danel-Brunaud V, Devos D. MRI of the cervical spinal cord predicts respiratory dysfunction in ALS. Sci Rep 2018; 8:1828. [PMID: 29379040 PMCID: PMC5789036 DOI: 10.1038/s41598-018-19938-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 01/10/2018] [Indexed: 01/07/2023] Open
Abstract
For patients with amyotrophic lateral sclerosis (ALS), the primary therapeutic goal is to minimize morbidity. Non-invasive ventilation improves survival. We aim to assess whether Magnetic Resonance Imaging (MRI) of the cervical spinal cord predicts the progression of respiratory disorders in ALS. Brain and spinal MRI was repeatedly performed in the SOD1G86R mouse model, in 40 patients and in healthy controls. Atrophy, iron overload, white matter diffusivity and neuronal loss were assessed. In Superoxide Dismutase-1 (SOD1) mice, iron accumulation appeared in the cervical spinal cord at symptom onset but disappeared with disease progression (after the onset of atrophy). In ALS patients, the volumes of the motor cortex and the medulla oblongata were already abnormally low at the time of diagnosis. Baseline diffusivity in the internal capsule was predictive of functional handicap. The decrease in cervical spinal cord volume from diagnosis to 3 months was predictive of the change in slow vital capacity at 12 months. MRI revealed marked abnormalities at the time of ALS diagnosis. Early atrophy of the cervical spinal cord may predict the progression of respiratory disorders, and so may be of value in patient care and as a primary endpoint in pilot neuroprotection studies.
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Affiliation(s)
- G Grolez
- Service de Neurologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center, Lille, France
| | - M Kyheng
- Département de Biostastistiques, Université de Lille, CHU de Lille, Lille, France
| | - R Lopes
- Service de Neuroradiologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France
| | - C Moreau
- Service de Neurologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center, Lille, France
| | - K Timmerman
- Service de Pharmacologie, Médicale Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France
| | - F Auger
- Plateau d'imagerie préclinique, Université de Lille, CHU de Lille, Lille, France
| | - G Kuchcinski
- Service de Neuroradiologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France
| | - A Duhamel
- Département de Biostastistiques, Université de Lille, CHU de Lille, Lille, France
| | - P Jissendi-Tchofo
- Service de Neuroradiologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France.,Department of Radiology, Neuroradiology section, Free University of Brussels, CHU Saint-Pierre, Brussels, Belgium
| | - P Besson
- Service de Neuroradiologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France
| | - C Laloux
- Service de Pharmacologie, Médicale Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France
| | - M Petrault
- Service de Pharmacologie, Médicale Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France
| | - J C Devedjian
- Service de Pharmacologie, Médicale Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France
| | - Thierry Pérez
- Service de Pneumologie, Université de Lille, CHU de Lille, Lille, France
| | - Pierre François Pradat
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,Département de Neurologie, Centre référent SLA, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - L Defebvre
- Service de Neurologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center, Lille, France
| | - R Bordet
- Service de Pharmacologie, Médicale Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France
| | - V Danel-Brunaud
- Service de Neurologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center, Lille, France
| | - D Devos
- Service de Neurologie, Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center, Lille, France. .,Service de Pharmacologie, Médicale Université de Lille, CHU de Lille, INSERM UMRS_1171, LICEND COEN Center Lille, Lille, France.
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Rasoanandrianina H, Grapperon AM, Taso M, Girard OM, Duhamel G, Guye M, Ranjeva JP, Attarian S, Verschueren A, Callot V. Region-specific impairment of the cervical spinal cord (SC) in amyotrophic lateral sclerosis: A preliminary study using SC templates and quantitative MRI (diffusion tensor imaging/inhomogeneous magnetization transfer). NMR IN BIOMEDICINE 2017; 30:e3801. [PMID: 28926131 DOI: 10.1002/nbm.3801] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 07/24/2017] [Accepted: 08/07/2017] [Indexed: 06/07/2023]
Abstract
In this preliminary study, our objective was to investigate the potential of high-resolution anatomical imaging, diffusion tensor imaging (DTI) and conventional/inhomogeneous magnetization transfer imaging [magnetization transfer (MT)/inhomogeneous magnetization transfer (ihMT)] at 3 T, analyzed with template-extracted regions of interest, to measure the atrophy and structural changes of white (WM) and gray (GM) matter spinal cord (SC) occurring in patients with amyotrophic lateral sclerosis (ALS). Ten patients with ALS and 20 age-matched healthy controls were recruited. SC GM and WM areas were automatically segmented using dedicated templates. Atrophy indices were evaluated from T2 *-weighted images at each vertebral level from cervical C1 to C6. DTI and ihMT metrics were quantified within the corticospinal tract (CST), posterior sensory tract (PST) and anterior GM (aGM) horns at the C2 and C5 levels. Clinical disabilities of patients with ALS were evaluated using the Revised ALS Functional Rating Scale, upper motor neuron (UMN) and Medical Research Council scorings, and correlated with MR metrics. Compared with healthy controls, GM and WM atrophy was observed in patients with ALS, especially at lower cervical levels, where a strong correlation was also observed between GM atrophy and the UMN score (R = -0.75, p = 0.05 at C6). Interestingly, a significant decrease in ihMT ratio was found in all regions of interest (p < 0.0008), fractional anisotropy (FA) and MT ratios decreased significantly in CST, especially at C5 (p < 0.005), and λ// (axial diffusivity) decreased significantly in CST (p = 0.0004) and PST (p = 0.003) at C2. Strong correlations between MRI metrics and clinical scores were also found (0.47 < |R| < 0.87, p < 0.05). Altogether, these preliminary results suggest that high-resolution anatomical imaging and ihMT imaging, in addition to DTI, are valuable for the characterization of SC tissue impairment in ALS. In this study, in addition to an important SC WM demyelination, we also observed, for the first time in ALS, impairments of cervical aGM.
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Affiliation(s)
- Henitsoa Rasoanandrianina
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
- iLab-Spine International Associated Laboratory, Marseille-Montreal, France-Canada
- Aix-Marseille Université, IFSTTAR, LBA UMR T 24, Marseille, France
| | - Aude-Marie Grapperon
- Centre de Référence des Maladies neuro-musculaires et de la SLA, Hopital de La Timone, Marseille, France
| | - Manuel Taso
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
- iLab-Spine International Associated Laboratory, Marseille-Montreal, France-Canada
- Aix-Marseille Université, IFSTTAR, LBA UMR T 24, Marseille, France
| | - Olivier M Girard
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Guillaume Duhamel
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Maxime Guye
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Jean-Philippe Ranjeva
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
| | - Shahram Attarian
- Centre de Référence des Maladies neuro-musculaires et de la SLA, Hopital de La Timone, Marseille, France
- Aix Marseille Université, INSERM, GMGF, Marseille, France
| | - Annie Verschueren
- Centre de Référence des Maladies neuro-musculaires et de la SLA, Hopital de La Timone, Marseille, France
| | - Virginie Callot
- Aix-Marseille Université, CNRS, APHM, CRMBM, Hôpital de la Timone, CEMEREM, Marseille, France
- iLab-Spine International Associated Laboratory, Marseille-Montreal, France-Canada
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Topographic distribution of brain iron deposition and small cerebrovascular lesions in amyotrophic lateral sclerosis and in frontotemporal lobar degeneration: a post-mortem 7.0-tesla magnetic resonance imaging study with neuropathological correlates. Acta Neurol Belg 2017; 117:873-878. [PMID: 28988390 DOI: 10.1007/s13760-017-0832-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Accepted: 09/15/2017] [Indexed: 12/11/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is associated with frontotemporal lobar degeneration (FTLD) in 15% of the cases. A neuropathological continuity between ALS and FTLD-TDP is suspected. The present post-mortem 7.0-tesla magnetic resonance imaging (MRI) study compares the topographic distribution of iron (Fe) deposition and the incidence of small cerebrovascular lesions in ALS and in FTLD brains. Seventy-eight post-mortem brains underwent 7.0-tesla MRI. The patients consisted of 12 with ALS, 38 with FTLD, and 28 controls. Three ALS brains had minor FTLD features. Three coronal sections of a cerebral hemisphere were submitted to T2 and T2* MRI sequences. The amount of Fe deposition in the deep brain structures and the number of small cerebrovascular lesions was determined in ALS and the subtypes of FTLD compared to control brains, with neuropathological correlates. A significant increase of Fe deposition was observed in the claustrum, caudate nucleus, globus pallidus, thalamus, and subthalamic nucleus of the FTLD-FUS and FTLD-TDP groups, while in the ALS one, the Fe increase was only observed in the caudate and the subthalamic nuclei. White matter changes were only significantly more severe in the FTLD compared to those in ALS and in controls brains. Cortical micro-bleeds were increased in the frontal and temporal lobes of FTLD as well as of ALS brains compared to controls. Cortical micro-infarcts were, on the other hand, more frequent in the control compared to the ALS and FTLD groups. The present study supports the assumption of a neuropathological continuity between ALS and FTLD and illustrates the favourable vascular risk profile in these diseases.
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Fibroblast bioenergetics to classify amyotrophic lateral sclerosis patients. Mol Neurodegener 2017; 12:76. [PMID: 29065921 PMCID: PMC5655870 DOI: 10.1186/s13024-017-0217-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 10/17/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The objective of this study was to investigate cellular bioenergetics in primary skin fibroblasts derived from patients with amyotrophic lateral sclerosis (ALS) and to determine if they can be used as classifiers for patient stratification. METHODS We assembled a collection of unprecedented size of fibroblasts from patients with sporadic ALS (sALS, n = 171), primary lateral sclerosis (PLS, n = 34), ALS/PLS with C9orf72 mutations (n = 13), and healthy controls (n = 91). In search for novel ALS classifiers, we performed extensive studies of fibroblast bioenergetics, including mitochondrial membrane potential, respiration, glycolysis, and ATP content. Next, we developed a machine learning approach to determine whether fibroblast bioenergetic features could be used to stratify patients. RESULTS Compared to controls, sALS and PLS fibroblasts had higher average mitochondrial membrane potential, respiration, and glycolysis, suggesting that they were in a hypermetabolic state. Only membrane potential was elevated in C9Orf72 lines. ATP steady state levels did not correlate with respiration and glycolysis in sALS and PLS lines. Based on bioenergetic profiles, a support vector machine (SVM) was trained to classify sALS and PLS with 99% specificity and 70% sensitivity. CONCLUSIONS sALS, PLS, and C9Orf72 fibroblasts share hypermetabolic features, while presenting differences of bioenergetics. The absence of correlation between energy metabolism activation and ATP levels in sALS and PLS fibroblasts suggests that in these cells hypermetabolism is a mechanism to adapt to energy dissipation. Results from SVM support the use of metabolic characteristics of ALS fibroblasts and multivariate analysis to develop classifiers for patient stratification.
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Melhem ER. MR Imaging Biomarkers in Amyotrophic Lateral Sclerosis. Acad Radiol 2017; 24:1185-1186. [PMID: 28822630 DOI: 10.1016/j.acra.2017.07.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 07/19/2017] [Indexed: 12/11/2022]
Affiliation(s)
- Elias R Melhem
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, 22 South Greene Street, Baltimore, MD 21201.
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Querin G, El Mendili MM, Lenglet T, Delphine S, Marchand-Pauvert V, Benali H, Pradat PF. Spinal cord multi-parametric magnetic resonance imaging for survival prediction in amyotrophic lateral sclerosis. Eur J Neurol 2017; 24:1040-1046. [PMID: 28586096 DOI: 10.1111/ene.13329] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 04/13/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE Assessing survival is a critical issue in patients with amyotrophic lateral sclerosis (ALS). Neuroimaging seems to be promising in the assessment of disease severity and several studies also suggest a strong relationship between spinal cord (SC) atrophy described by magnetic resonance imaging (MRI) and disease progression. The aim of the study was to determine the predictive added value of multimodal SC MRI on survival. METHODS Forty-nine ALS patients were recruited and clinical data were collected. Patients were scored on the Revised ALS Functional Rating Scale and manual muscle testing. They were followed longitudinally to assess survival. The cervical SC was imaged using the 3 T MRI system. Cord volume and cross-sectional area (CSA) at each vertebral level were computed. Diffusion tensor imaging metrics were measured. Imaging metrics and clinical variables were used as inputs for a multivariate Cox regression survival model. RESULTS On building a multivariate Cox regression model with clinical and MRI parameters, fractional anisotropy, magnetization transfer ratio and CSA at C2-C3, C4-C5, C5-C6 and C6-C7 vertebral levels were significant. Moreover, the hazard ratio calculated for CSA at the C3-C4 and C5-C6 levels indicated an increased risk for patients with SC atrophy (respectively 0.66 and 0.68). In our cohort, MRI parameters seem to be more predictive than clinical variables, which had a hazard ratio very close to 1. CONCLUSIONS It is suggested that multimodal SC MRI could be a useful tool in survival prediction especially if used at the beginning of the disease and when combined with clinical variables. To validate it as a biomarker, confirmation of the results in bigger independent cohorts of patients is warranted.
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Affiliation(s)
- G Querin
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France
| | - M M El Mendili
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,Department of Neurology, Icahn School of Medicine, Mount Sinai, NY, USA
| | - T Lenglet
- Département de Neurophysiologie, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - S Delphine
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,Institut des Neurosciences Translationnelles, Institut Du Cerveau Et De La Moelle Épinière - IHU-A-ICM, Paris, France
| | - V Marchand-Pauvert
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France
| | - H Benali
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France
| | - P-F Pradat
- Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,Département des Maladies du Système Nerveux, Centre référent SLA, APHP, Hôpital Pitié-Salpêtrière Paris, Paris, France
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50
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Tard C, Defebvre L, Moreau C, Devos D, Danel-Brunaud V. Clinical features of amyotrophic lateral sclerosis and their prognostic value. Rev Neurol (Paris) 2017; 173:263-272. [DOI: 10.1016/j.neurol.2017.03.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Accepted: 03/27/2017] [Indexed: 12/29/2022]
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