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Barkhaus PE, Nandedkar SD, de Carvalho M, Swash M, Stålberg EV. Revisiting the compound muscle action potential (CMAP). Clin Neurophysiol Pract 2024; 9:176-200. [PMID: 38807704 PMCID: PMC11131082 DOI: 10.1016/j.cnp.2024.04.002] [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: 12/07/2023] [Revised: 04/15/2024] [Accepted: 04/21/2024] [Indexed: 05/30/2024] Open
Abstract
The compound muscle action potential (CMAP) is among the first recorded waveforms in clinical neurography and one of the most common in clinical use. It is derived from the summated muscle fiber action potentials recorded from a surface electrode overlying the studied muscle following stimulation of the relevant motor nerve fibres innervating the muscle. Surface recorded motor unit potentials (SMUPs) are the fundamental units comprising the CMAP. Because it is considered a basic, if not banal signal, what it represents is often underappreciated. In this review we discuss current concepts in the anatomy and physiology of the CMAP. These have evolved with advances in instrumentation and digitization of signals, affecting its quantitation and measurement. It is important to understand the basic technical and biological factors influencing the CMAP. If these influences are not recognized, then a suboptimal recording may result. The object is to obtain a high quality CMAP recording that is reproducible, whether the study is done for clinical or research purposes. The initial sections cover the relevant CMAP anatomy and physiology, followed by how these principles are applied to CMAP changes in neuromuscular disorders. The concluding section is a brief overview of CMAP research where advances in recording systems and computer-based analysis programs have opened new research applications. One such example is motor unit number estimation (MUNE) that is now being used as a surrogate marker in monitoring chronic neurogenic processes such as motor neuron diseases.
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Affiliation(s)
- Paul E. Barkhaus
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Sanjeev D. Nandedkar
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI USA
- Natus Medical Inc., Hopewell Junction, NY, USA
| | - Mamede de Carvalho
- Instituto de Medicina Molecular and Institute of Physiology, Centro de Estudos Egas Moniz, Faculty of Medicine, University of Lisbon, Portugal
- Department of Neurosciences and Mental Health, CHULN-Hospital de Santa Maria, Lisbon, Portugal
| | - Michael Swash
- Barts and the London School of Medicine, Queen Mary University of London, London UK
| | - Erik V. Stålberg
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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Vucic S, de Carvalho M, Bashford J, Alix JJP. Contribution of neurophysiology to the diagnosis and monitoring of ALS. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 176:87-118. [PMID: 38802184 DOI: 10.1016/bs.irn.2024.04.001] [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: 05/29/2024]
Abstract
This chapter describes the role of neurophysiological techniques in diagnosing and monitoring amyotrophic lateral sclerosis (ALS). Despite many advances, electromyography (EMG) remains a keystone investigation from which to build support for a diagnosis of ALS, demonstrating the pathophysiological processes of motor unit hyperexcitability, denervation and reinnervation. We consider development of the different diagnostic criteria and the role of EMG therein. While not formally recognised by established diagnostic criteria, we discuss the pioneering studies that have demonstrated the diagnostic potential of transcranial magnetic stimulation (TMS) of the motor cortex and highlight the growing evidence for TMS in the diagnostic process. Finally, accurately monitoring disease progression is crucial for the successful implementation of clinical trials. Neurophysiological measures of disease state have been incorporated into clinical trials for over 20 years and we review prominent techniques for assessing disease progression.
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Affiliation(s)
- Steve Vucic
- Brain and Nerve Research Centre, Concord Clinical School and Department of Neurology, Concord Repatriation General Hospital, The University of Sydney, Sydney, NSW, Australia
| | - Mamede de Carvalho
- Instituto de Medicina Molecular João Lobo Antunes, Centro de Estudos Egas Moniz, Faculty of Medicine, Universidade de Lisboa, Lisboa, Portugal; Department of Neurosciences, CHULN, Centro Académico de Medicina de Lisboa, Lisboa, Portugal
| | - James Bashford
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - James J P Alix
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom.
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Xue S, Gao F, Wu X, Xu Q, Weng X, Zhang Q. MUNIX repeatability evaluation method based on FastICA demixing. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:16362-16382. [PMID: 37920016 DOI: 10.3934/mbe.2023730] [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: 11/04/2023]
Abstract
To enhance the reproducibility of motor unit number index (MUNIX) for evaluating neurological disease progression, this paper proposes a negative entropy-based fast independent component analysis (FastICA) demixing method to assess MUNIX reproducibility in the presence of inter-channel mixing of electromyography (EMG) signals acquired by high-density electrodes. First, composite surface EMG (sEMG) signals were obtained using high-density surface electrodes. Second, the FastICA algorithm based on negative entropy was employed to determine the orthogonal projection matrix that minimizes the negative entropy of the projected signal and effectively separates mixed sEMG signals. Finally, the proposed experimental approach was validated by introducing an interrelationship criterion to quantify independence between adjacent channel EMG signals, measuring MUNIX repeatability using coefficient of variation (CV), and determining motor unit number and size through MUNIX. Results analysis shows that the inclusion of the full (128) channel sEMG information leads to a reduction in CV value by $1.5 \pm 0.1$ and a linear decline in CV value with an increase in the number of channels. The correlation between adjacent channels in participants decreases by $0.12 \pm 0.05$ as the number of channels gradually increases. The results demonstrate a significant reduction in the number of interrelationships between sEMG signals following negative entropy-based FastICA processing, compared to the mixed sEMG signals. Moreover, this decrease in interrelationships becomes more pronounced with an increasing number of channels. Additionally, the CV of MUNIX gradually decreases with an increase in the number of channels, thereby optimizing the issue of abnormal MUNIX repeatability patterns and further enhancing the reproducibility of MUNIX based on high-density surface EMG signals.
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Affiliation(s)
- Suqi Xue
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Farong Gao
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Xudong Wu
- Department of Orthopedics, Zhoushan Hospital of Traditional Chinese Medicine, Zhoushan 316000, China
| | - Qun Xu
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Xuecheng Weng
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Qizhong Zhang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
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Douania I, Laforêt J, Boudaoud S. Robust morris screening method (RMSM) for complex physiological models. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 231:107368. [PMID: 36716648 DOI: 10.1016/j.cmpb.2023.107368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 12/07/2022] [Accepted: 01/22/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND AND OBJECTIVES Morris screening sensitivity analysis (MSM) comes forth as the method needing the minimum number of model simulations to qualify the impact of input parameter variations on outputs of complex, nonlinear and overparametrized models. However, the reliability of MSM indices (mean and standard deviation) and the reproducibility of their results are rarely explored despite the input parameter tuning/identification needs. In fact, these models, such those used in medical applications as digital twins, often lie in this category and need efficient and robust tools to assess both sensitivity and reliability of the outputs to numerous input model parameters. METHODS In this study, a new Robust Morris Screening Method (RMSM) is proposed and based on new indices: the absolute median (χ*) and the median absolute deviation (ρ). The proposed RMSM approach is evaluated on a complex multi-scales neuromuscular electrophysiological model simulating HD-sEMG (high density surface electromyography) signals at the skin surface. The reliability and stability of new RMSM indicators are evaluated at different trajectories within the parameter space and compared to classical MSM results. For this purpose, We propose a new methodology for parameter screening based on the ratio ρ/χ* as a graphic indicator of (non)linearity and (non)monotonicity of parameter effects. RESULTS Firstly, the results demonstrated that the computed elementary effects (EE) of inputs are not normally distributed using MSM indices contrary to the proposed RMSM indices. Secondly, the ranking stability of RMSM indices was earlier obtained from 20 trajectories (T=20), while MSM ranking remained unstable until T = 100. Thirdly, The screening separation between influential and negligible input model parameters was more distinct and interpretable with RMSM than MSM. CONCLUSION The proposed RMSM approach ensures a fast, reliable and stable ranking of parameters for complex and overparametrized models compared to classical MSM. this allows a more precise exploration of the model parameter influence space for future application in parameter tuning and identification.
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Affiliation(s)
- Inès Douania
- Alliance Sorbonne University, Université de technologie de Compiègne, CNRS, UMR 7338 Biomechanics and Bioengineering, Centre de recherche Royallieu, Compiegne cedex 60203, France
| | - Jérémy Laforêt
- Alliance Sorbonne University, Université de technologie de Compiègne, CNRS, UMR 7338 Biomechanics and Bioengineering, Centre de recherche Royallieu, Compiegne cedex 60203, France
| | - Sofiane Boudaoud
- Alliance Sorbonne University, Université de technologie de Compiègne, CNRS, UMR 7338 Biomechanics and Bioengineering, Centre de recherche Royallieu, Compiegne cedex 60203, France.
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Motor unit number index (MUNIX) loss of 50% occurs in half the time of 50% functional loss according to the D50 disease progression model of ALS. Sci Rep 2023; 13:3981. [PMID: 36894607 PMCID: PMC9998642 DOI: 10.1038/s41598-023-30871-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 03/02/2023] [Indexed: 03/11/2023] Open
Abstract
Capturing disease progression in amyotrophic lateral sclerosis (ALS) is challenging and refinement of progression markers is urgently needed. This study introduces new motor unit number index (MUNIX), motor unit size index (MUSIX) and compound muscle action potential (CMAP) parameters called M50, MUSIX200 and CMAP50. M50 and CMAP50 indicate the time in months from symptom onset an ALS patient needs to lose 50% of MUNIX or CMAP in relation to the mean values of controls. MUSIX200 represents the time in months until doubling of the mean MUSIX of controls. We used MUNIX parameters of Musculi abductor pollicis brevis (APB), abductor digiti minimi (ADM) and tibialis anterior (TA) of 222 ALS patients. Embedded in the D50 disease progression model, disease aggressiveness and accumulation were analyzed separately. M50, CMAP50 and MUSIX200 significantly differed among disease aggressiveness subgroups (p < 0.001) regardless of disease accumulation. ALS patients with a low M50 had a significantly shorter survival compared to high M50 (median 32 versus 74 months). M50 preceded the loss of global function (median of about 14 months). M50, CMAP50 and MUSIX200 characterize the disease course in ALS in a new way and may be applied as early measures of disease progression.
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Xu Q, Xue S, Gao F, Wu Q, Zhang Q. Evaluation method of motor unit number index based on optimal muscle strength combination. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:3854-3872. [PMID: 36899608 DOI: 10.3934/mbe.2023181] [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: 06/18/2023]
Abstract
Repeatability is an important attribute of motor unit number index (MUNIX) technology. This paper proposes an optimal contraction force combination for MUNIX calculation in an effort to improve the repeatability of this technology. In this study, the surface electromyography (EMG) signals of the biceps brachii muscle of eight healthy subjects were initially recorded with high-density surface electrodes, and the contraction strength was the maximum voluntary contraction force of nine progressive levels. Then, by traversing and comparing the repeatability of MUNIX under various combinations of contraction force, the optimal combination of muscle strength is determined. Finally, calculate MUNIX using the high-density optimal muscle strength weighted average method. The correlation coefficient and the coefficient of variation are utilized to assess repeatability. The results show that when the muscle strength combination is 10, 20, 50 and 70% of the maximum voluntary contraction force, the repeatability of MUNIX is greatest, and the correlation between MUNIX calculated using this combination of muscle strength and conventional methods is high (PCC > 0.99), the repeatability of the MUNIX method improved by 11.5-23.8%. The results indicate that the repeatability of MUNIX differs for various combinations of muscle strength and that MUNIX, which is measured with a smaller number and lower-level contractility, has greater repeatability.
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Affiliation(s)
- Qun Xu
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Suqi Xue
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Farong Gao
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Qiuxuan Wu
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Qizhong Zhang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
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Sandberg A. Motor unit properties do not correlate between MUNIX and needle EMG in remote polio in the biceps brachii muscle. Clin Neurophysiol Pract 2022; 8:24-31. [PMID: 36632370 PMCID: PMC9826944 DOI: 10.1016/j.cnp.2022.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 12/07/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Objective To compare the utility of MUNIX (motor unit number index) with needle EMG in characterizing motor unit (MU) properties in the biceps brachii (BB) muscle in subjects with remote polio. Methods Thirty subjects suffering from remote polio were investigated with MUNIX and needle EMG, all with Macro EMG and 16 of these subjects with concentric needle EMG. Results Both MUNIX and the needle EMG methods showed abnormal results. Fiber density (FD) was the most sensitive parameter for showing signs of reinnervation. At a group level, the methods showed neurogenic findings, but there was no correlation between the results of the MUNIX and needle EMG investigations. Conclusions Both MUNIX and needle EMG are valuable methods for measuring neurogenic involvement in the BB muscle. However, there was a lack of correlation between the MUNIX and needle EMG findings. The cause for this missing correlation may be multifactorial as there are several differences between the methods. Significance The reason for the lack of correlation between the MUNIX and needle EMG results is discussed. By combining the needle and surface recorded methods one can obtain more information on the denervation and reinnervation process compared to using just one of the methods alone.
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Motor unit number index (MUNIX) in the D50 disease progression model reflects disease accumulation independently of disease aggressiveness in ALS. Sci Rep 2022; 12:15997. [PMID: 36163485 PMCID: PMC9512899 DOI: 10.1038/s41598-022-19911-0] [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: 07/20/2022] [Accepted: 09/06/2022] [Indexed: 11/09/2022] Open
Abstract
The neurophysiological technique motor unit number index (MUNIX) is increasingly used in clinical trials to measure loss of motor units. However, the heterogeneous disease course in amyotrophic lateral sclerosis (ALS) obfuscates robust correlations between clinical status and electrophysiological assessments. To address this heterogeneity, MUNIX was applied in the D50 disease progression model by analyzing disease aggressiveness (D50) and accumulation (rD50 phase) in ALS separately. 237 ALS patients, 45 controls and 22 ALS-Mimics received MUNIX of abductor pollicis brevis (APB), abductor digiti minimi (ADM) and tibialis anterior (TA) muscles. MUNIX significantly differed between controls and ALS patients and between ALS-Mimics and controls. Within the ALS cohort, significant differences between Phase I and II revealed in MUNIX, compound muscle action potential (CMAP) and motor unit size index (MUSIX) of APB as well as in MUNIX and CMAP of TA. For the ADM, significant differences occurred later in CMAP and MUNIX between Phase II and III/IV. In contrast, there was no significant association between disease aggressiveness and MUNIX. In application of the D50 disease progression model, MUNIX can demonstrate disease accumulation already in early Phase I and evaluate effects of therapeutic interventions in future therapeutic trials independent of individual disease aggressiveness.
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Ahmed N, Baker MR, Bashford J. The landscape of neurophysiological outcome measures in ALS interventional trials: A systematic review. Clin Neurophysiol 2022; 137:132-141. [PMID: 35313253 PMCID: PMC10166714 DOI: 10.1016/j.clinph.2022.02.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/11/2022] [Accepted: 02/18/2022] [Indexed: 12/28/2022]
Abstract
OBJECTIVE We collated all interventional clinical trials in amyotrophic lateral sclerosis (ALS), which utilised at least one neurophysiological technique as a primary or secondary outcome measure. By identifying the strengths and limitations of these studies, we aim to guide study design in future trials. METHODS We conducted and reported this systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Eight databases were searched from inception. In total, 703 studies were retrieved for screening and eligibility assessment. RESULTS Dating back to 1986, 32 eligible interventional clinical trials were identified, recruiting a median of 30 patients per completed trial. The most widely employed neurophysiological techniques were electromyography, motor unit number estimation (including motor unit number index), neurophysiological index and transcranial magnetic stimulation (including resting motor threshold and short-interval intracortical inhibition). Almost 40% of trials reported a positive outcome with respect to at least one neurophysiological measure. The interventions targeted either ion channels, immune mechanisms or neuronal metabolic pathways. CONCLUSIONS Neurophysiology offers many promising biomarkers that can be utilised as outcome measures in interventional clinical trials in ALS. When selecting the most appropriate technique, key considerations include methodological standardisation, target engagement and logistical burden. SIGNIFICANCE Future trial design in ALS would benefit from a standardised, updated and easily accessible repository of neurophysiological outcome measures.
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Affiliation(s)
- N Ahmed
- GKT School of Medical Education, Faculty of Life Sciences and Medicine, King's College London, UK
| | - M R Baker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK
| | - J Bashford
- UK Dementia Research Institute, Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
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Sørensen DM, Bostock H, Ballegaard M, Fuglsang-Frederiksen A, Graffe CC, Grötting A, Jones K, Kallio M, Krarup C, Krøigård T, Lupescu T, Maitland S, Moldovan M, Nilsen KB, Pugdahl K, Santos MO, Themistocleous AC, Zlateva SS, Ööpik M, Tankisi H. Assessing inter-rater reproducibility in MScanFit MUNE in a 6-subject, 12-rater "Round Robin" setup. Neurophysiol Clin 2021; 52:157-169. [PMID: 34906430 DOI: 10.1016/j.neucli.2021.11.002] [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: 06/02/2021] [Revised: 11/20/2021] [Accepted: 11/20/2021] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE To assess the inter-rater reliability of MScanFit MUNE using a "Round Robin" research design. METHODS Twelve raters from different centres examined six healthy study participants over two days. Median, ulnar and common peroneal nerves were stimulated, and compound muscle action potential (CMAP)-scans were recorded from abductor pollicis brevis (APB), abductor digiti minimi (ADM) and anterior tibial (TA) muscles respectively. From this we calculated the Motor Unit Number Estimation (MUNE) and "A50", a motor unit size parameter. As statistical analysis we used the measures Limits of Agreement (LOA) and Coefficient of Variation (COV). Study participants scored their perception of pain from the examinations on a rating scale from 0 (no pain) to 10 (unbearable pain). RESULTS Before this study, 41.6% of the raters had performed MScanFit less than five times. The mean MUNE-values were: 99.6 (APB), 131.4 (ADM) and 126.2 (TA), with LOA: 19.5 (APB), 29.8 (ADM) and 20.7 (TA), and COV: 13.4 (APB), 6.3 (ADM) and 5.6 (TA). MUNE-values correlated to CMAP max amplitudes (R2-values were: 0.463 (APB) (p<0.001), 0.421 (ADM) (p<0.001) and 0.645 (TA) (p<0.001)). The average perception of pain was 4. DISCUSSION MScanFit indicates a high level of inter-rater reliability, even with only limited rater experience and is overall reasonably well tolerated by patients. These results may indicate MScanFit as a reliable MUNE method with potential as a biomarker in drug trials.
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Affiliation(s)
| | - Hugh Bostock
- Insitute of Neurology, Queen Square House, London, United Kingdom
| | - Martin Ballegaard
- Deparment of Clinical Neurology, Zealand University Hospital, Roskilde, Denmark
| | | | | | - Arnstein Grötting
- Department of Clinical Neurophysiology, St. Olav Hospital, Trondheim, Norway
| | - Kelvin Jones
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Canada
| | - Mika Kallio
- Department of Clinical Neurophysiology, Oulu University Hospital, Oulu, Finland
| | - Christian Krarup
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen, Denmark
| | - Thomas Krøigård
- Department of Neurology, Odense University Hospital, Denmark
| | - Tudor Lupescu
- Department of Neurology, Agrippa Ionescu Hospital, Bucharest, Romania
| | - Stuart Maitland
- Newcastle Biomedical Research Centre, Newcastle upon Tyne, United Kingdom
| | - Mihai Moldovan
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen, Denmark
| | | | - Kirsten Pugdahl
- Department of Clinical Neurophysiology, Aarhus University Hospital, Denmark
| | - Miguel Oliveira Santos
- Department of Neurosciences and Mental Health, Hospital de Santa Maria, Lisbon, Portugal
| | | | | | - Merle Ööpik
- Deparment of Clinical Neurology, Zealand University Hospital, Roskilde, Denmark
| | - Hatice Tankisi
- Department of Clinical Neurophysiology, Aarhus University Hospital, Denmark.
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Garro F, Chiappalone M, Buccelli S, De Michieli L, Semprini M. Neuromechanical Biomarkers for Robotic Neurorehabilitation. Front Neurorobot 2021; 15:742163. [PMID: 34776920 PMCID: PMC8579108 DOI: 10.3389/fnbot.2021.742163] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/22/2021] [Indexed: 02/06/2023] Open
Abstract
One of the current challenges for translational rehabilitation research is to develop the strategies to deliver accurate evaluation, prediction, patient selection, and decision-making in the clinical practice. In this regard, the robot-assisted interventions have gained popularity as they can provide the objective and quantifiable assessment of the motor performance by taking the kinematics parameters into the account. Neurophysiological parameters have also been proposed for this purpose due to the novel advances in the non-invasive signal processing techniques. In addition, other parameters linked to the motor learning and brain plasticity occurring during the rehabilitation have been explored, looking for a more holistic rehabilitation approach. However, the majority of the research done in this area is still exploratory. These parameters have shown the capability to become the “biomarkers” that are defined as the quantifiable indicators of the physiological/pathological processes and the responses to the therapeutical interventions. In this view, they could be finally used for enhancing the robot-assisted treatments. While the research on the biomarkers has been growing in the last years, there is a current need for a better comprehension and quantification of the neuromechanical processes involved in the rehabilitation. In particular, there is a lack of operationalization of the potential neuromechanical biomarkers into the clinical algorithms. In this scenario, a new framework called the “Rehabilomics” has been proposed to account for the rehabilitation research that exploits the biomarkers in its design. This study provides an overview of the state-of-the-art of the biomarkers related to the robotic neurorehabilitation, focusing on the translational studies, and underlying the need to create the comprehensive approaches that have the potential to take the research on the biomarkers into the clinical practice. We then summarize some promising biomarkers that are being under investigation in the current literature and provide some examples of their current and/or potential applications in the neurorehabilitation. Finally, we outline the main challenges and future directions in the field, briefly discussing their potential evolution and prospective.
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Affiliation(s)
- Florencia Garro
- Rehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.,Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy
| | - Michela Chiappalone
- Rehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.,Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy
| | - Stefano Buccelli
- Rehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy
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Chan Y, Alix JJP, Neuwirth C, Barkhaus PE, Castro J, Jenkins TM, McDermott CJ, Shaw PJ, de Carvalho M, Nandedkar S, Stålberg E, Weber M. Reinnervation as measured by the motor unit size index is associated with preservation of muscle strength in amyotrophic lateral sclerosis, but not all muscles reinnervate. Muscle Nerve 2021; 65:203-210. [PMID: 34687220 DOI: 10.1002/mus.27444] [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: 03/31/2021] [Revised: 10/18/2021] [Accepted: 10/18/2021] [Indexed: 11/11/2022]
Abstract
INTRODUCTION/AIMS The motor unit size index (MUSIX) may provide insight into reinnervation patterns in diseases such as amyotrophic lateral sclerosis (ALS). However, it is not known whether MUSIX detects clinically relevant changes in reinnervation, or if all muscles manifest changes in MUSIX in response to reinnervation after motor unit loss. METHODS Fifty-seven patients with ALS were assessed at 3-month intervals for 12 months in four centers. Muscles examined were abductor pollicis brevis, abductor digiti minimi, biceps brachii, and tibialis anterior. Results were split into two groups: muscles with increases in MUSIX and those without increases. Longitudinal changes in MUSIX, motor unit number index (MUNIX), compound muscle action potential amplitude, and Medical Research Council strength score were investigated. RESULTS One hundred thirty-three muscles were examined. Fifty-nine percent of the muscles exhibited an increase in MUSIX during the study. Muscles with MUSIX increases lost more motor units (58% decline in MUNIX at 12 months, P < .001) than muscles that did not increase MUSIX (34.6% decline in MUNIX at 12 months, P < .001). However, longitudinal changes in muscle strength were similar. When motor unit loss was similar, the absence of a MUSIX increase was associated with a significantly greater loss of muscle strength (P = .002). DISCUSSION MUSIX increases are associated with greater motor unit loss but relative preservation of muscle strength. Thus, MUSIX appears to be measuring a clinically relevant response that can provide a quantitative outcome measure of reinnervation in clinical trials. Furthermore, MUSIX suggests that reinnervation may play a major role in determining the progression of weakness.
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Affiliation(s)
- Young Chan
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - James J P Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Christoph Neuwirth
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital, St. Gallen, Switzerland
| | | | - José Castro
- Department of Neurosciences, Centro Hospitalar Lisboa Norte-Hospital de Santa Maria, Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Lisboa, Portugal
| | - Thomas M Jenkins
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | | | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Mamede de Carvalho
- Department of Neurosciences, Centro Hospitalar Lisboa Norte-Hospital de Santa Maria, Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Lisboa, Portugal
| | | | - Erik Stålberg
- Department of Neuroscience, Clinical Neurophysiology, Uppsala University, Uppsala, Sweden
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital, St. Gallen, Switzerland
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Boulay C, Delmont E, Audic F, Chabrol B, Attarian S. Motor unit number index: A potential electrophysiological biomarker for pediatric spinal muscular atrophy. Muscle Nerve 2021; 64:445-453. [PMID: 34255873 DOI: 10.1002/mus.27372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 07/05/2021] [Accepted: 07/09/2021] [Indexed: 11/08/2022]
Abstract
INTRODUCTION/AIMS In adult spinal muscular atrophy (SMA), the motor unit number index (MUNIX) has been shown to be an useful electrophysiological biomarker. This study evaluated the feasibility and the clinical relevance of using the MUNIX technique for patients with pediatric SMA (Ped-SMA) and correlated MUNIX results with clinical scores. METHODS Fourteen patients with type II Ped-SMA (11 females; median age 11 y [interquartile range (IQR), 4.8-17 y]) and 14 controls (nine females; median age 10.75 y [IQR, 6.5-13.4 y]) were enrolled and matched by sex, age, height, weight, and body mass index. Clinical examination included manual muscle testing, dynamometry (grasp and pinch), and motor function measure (MFM). The MUNIX technique was evaluated in the abductor digiti minimi (ADM) and abductor pollicis brevis (APB) on two sides when possible. RESULTS In the patients with Ped-SMA, the MUNIX and compound muscle action potential (CMAP) amplitudes were significantly decreased and the motor size unit index (MUSIX) was significantly increased in the ADM and APB when compared to controls. The intraclass correlation coefficient was good for the intrarater variability of the CMAP amplitude, MUNIX, and MUSIX in the ADM (0.95, 0.83, and 0.89, respectively) and the APB (0.98, 0.96, and 0.94, respectively). The total CMAP amplitude correlated with the grasp and pinch scores (P < .05), and the MUNIX measurements correlated with the MFM scores. DISCUSSION The MUNIX technique, which accurately estimated lower motor neuron loss and the number of remaining functional motor units, was shown to be a useful electrophysiological biomarker for disease progression and a potential biomarker for treatment response.
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Affiliation(s)
- Christophe Boulay
- Neuropediatric Department, Children Timone University Hospital, Aix-Marseille University, Marseille, France.,Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France.,Aix-Marseille University, CNRS, ISM UMR 7287, Marseille, France
| | - Emilien Delmont
- Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France.,Aix-Marseille University, UMR 7286, Medicine Faculty, Marseille, France
| | - Frédérique Audic
- Neuropediatric Department, Children Timone University Hospital, Aix-Marseille University, Marseille, France.,Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France
| | - Brigitte Chabrol
- Neuropediatric Department, Children Timone University Hospital, Aix-Marseille University, Marseille, France.,Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France.,Aix-Marseille University, Inserm UMR S 910, Medical Genetics and Functional Genomics, Marseille, France
| | - Shahram Attarian
- Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France.,Aix-Marseille University, Inserm UMR S 910, Medical Genetics and Functional Genomics, Marseille, France
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Pinto S, De Carvalho M. Phrenic nerve study as outcome in clinical trials for amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2021; 22:9-13. [PMID: 33683161 DOI: 10.1080/21678421.2021.1895842] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Introduction: Respiratory tests are fundamental for monitoring respiratory function in ALS, and essential in clinical trials. Slow vital capacity (SVC) was canceled in some countries to prevent COVID-19 transmission. We aimed to test phrenic nerve motor responses as an option to SVC in clinical trials. Methodology: Patients followed-up in our unit were selected respecting inclusion criteria used elsewhere: possible/probable/definite disease; onset-age 18-80years; disease duration from disease duration ≤24months; body mass index (BMI)>20kg/m2; respiratory subscore of the revised ALS functional rating scale (ALSFRS-R)≥11; upright SVC ≥ 70%. We added normal phrenic responses (meanPhrenAmpl, ≥0.4mV). All patients were on riluzole. SVC and meanPhrenAmpl were recorded at study entry (T0) and 24 weeks later (T1). Decays were determined. Sample size was calculated for a treatment effect of 30% on the decay rate. Results: We included 317 ALS patients (191 males, 225 spinal-onset), mean onset-age 59.9 ± 10.7 (31-80)years, mean onset BMI 25.48 ± 3.2 (20.1-35)kg/m2, mean disease duration 10.5 ± 5.6 (1-24)months, mean ALSFRS-R 41.54 ± 4.3 (22-47) and respiratory subscore 11.83 ± 0.38 (11-12). MeanPhrenAmpl and SVC were weakly but significantly correlated at T0 and T1. At T1, MeanPhrenAmpl decayed 16.94 ± 16.45% and SVC 13.5 ± 16.86%. For the proposed drug effect, 174 and 272 patients would be needed to recruit using respectively meanPhrenAmpl and SVC decline as the primary outcome measurement (accepting no dropouts). Discussion: Contrary to SVC, meanPhrenAmpl is non-volitional and not associated with aerosolization risk. Lower recruitment number (98 patients less) would be needed, translating shorter inclusion period, trial length and costs, and probable lower missed data rate. MeanPhrenAmp is an alternative test in ALS clinical trials.
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Affiliation(s)
- Susana Pinto
- Institute of Physiology, Instituto de Medicina Molecular, and Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Mamede De Carvalho
- Institute of Physiology, Instituto de Medicina Molecular, and Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Department of Neurosciences and Mental Health, Hospital de Santa Maria, Centro Hospitalar Universitário de Lisboa Norte, Lisbon, Portugal
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15
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Querin G, Lenglet T, Debs R, Stojkovic T, Behin A, Salachas F, Le Forestier N, Amador MDM, Bruneteau G, Laforêt P, Blancho S, Marchand-Pauvert V, Bede P, Hogrel JY, Pradat PF. Development of new outcome measures for adult SMA type III and IV: a multimodal longitudinal study. J Neurol 2021; 268:1792-1802. [PMID: 33388927 DOI: 10.1007/s00415-020-10332-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/19/2020] [Accepted: 11/19/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVE The aim of this study was the comprehensive characterisation of longitudinal clinical, electrophysiological and neuroimaging measures in type III and IV adult spinal muscular atrophy (SMA) with a view to propose objective monitoring markers for future clinical trials. METHODS Fourteen type III or IV SMA patients underwent standardised assessments including muscle strength testing, functional evaluation (SMAFRS and MFM), MUNIX (abductor pollicis brevis, APB; abductor digiti minimi, ADM; deltoid; tibialis anterior, TA; trapezius) and quantitative cervical spinal cord MRI to appraise segmental grey and white matter atrophy. Patients underwent a follow-up assessment with the same protocol 24 months later. Longitudinal comparisons were conducted using the Wilcoxon-test for matched data. Responsiveness was estimated using standardized response means (SRM) and a composite score was generated based on the three most significant variables. RESULTS Significant functional decline was observed based on SMAFRS (p = 0.019), pinch and knee flexion strength (p = 0.030 and 0.027), MUNIX and MUSIX value in the ADM (p = 0.0006 and 0.043) and in TA muscle (p = 0.025). No significant differences were observed based on cervical MRI measures. A significant reduction was detected in the composite score (p = 0.0005, SRM = -1.52), which was the most responsive variable and required a smaller number of patients than single variables in the estimation of sample size for clinical trials. CONCLUSIONS Quantitative strength testing, SMAFRS and MUNIX readily capture disease progression in adult SMA patients. Composite multimodal scores increase predictive value and may reduce sample size requirements in clinical trials.
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Affiliation(s)
- Giorgia Querin
- Centre de Référence Maladies Neuromusculaires Paris-Est, APHP, Hôpital Pitié-Salpêtrière, Service de Neuromyologie, Paris, France
- Laboratoire D'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France
- Institut de Myologie, I-Motion Adultes Plateforme, Paris, France
| | - Timothée Lenglet
- Département de Neurophysiologie, APHP, Hôpital Pitié-Salpêtrière, Paris, France
- APHP, Centre Référant SLA, Hôpital Pitié-Salpêtrière, Paris, France
| | - Rabab Debs
- Département de Neurophysiologie, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Tanya Stojkovic
- Centre de Référence Maladies Neuromusculaires Paris-Est, APHP, Hôpital Pitié-Salpêtrière, Service de Neuromyologie, Paris, France
| | - Anthony Behin
- Centre de Référence Maladies Neuromusculaires Paris-Est, APHP, Hôpital Pitié-Salpêtrière, Service de Neuromyologie, Paris, France
| | | | - Nadine Le Forestier
- APHP, Centre Référant SLA, Hôpital Pitié-Salpêtrière, Paris, France
- Département de Recherche en Éthique, EA 1610: Etudes Des Sciences Et Techniques, Université Paris Sud/Paris Saclay, Paris, France
| | | | - Gaëlle Bruneteau
- APHP, Centre Référant SLA, Hôpital Pitié-Salpêtrière, Paris, France
| | - Pascal Laforêt
- Neurology Department, Nord/Est/Ile de France Neuromuscular Center, Raymond-Poincaré Hospital, Garches, France
- INSERM U1179, END-ICAP, Versailles Saint-Quentin-en-Yvelines University, Montigny-le-Bretonneux, France
| | - Sophie Blancho
- Institut Pour La Recherche Sur La Moelle Epinière Et L'Encéphale (IRME), Paris, France
| | | | - Peter Bede
- Laboratoire D'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France
- APHP, Centre Référant SLA, Hôpital Pitié-Salpêtrière, Paris, France
- Computational Neuroimaging Group, Academic Unit of Neurology, Trinity College, Dublin, Ireland
| | - Jean-Yves Hogrel
- Institute of Myology, Neuromuscular Investigation Center, Paris, France
| | - Pierre-François Pradat
- Laboratoire D'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France.
- APHP, Centre Référant SLA, Hôpital Pitié-Salpêtrière, Paris, France.
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute Ulster University, Altnagelvin Hospital, Derry/Londonderry, C-TRIC, UK.
- Département de Neurologie, 47 Boulevard de l'sHôpital, 75634, Paris cedex 13, France.
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Head-down tilt bed rest with or without artificial gravity is not associated with motor unit remodeling. Eur J Appl Physiol 2020; 120:2407-2415. [PMID: 32797257 PMCID: PMC7557493 DOI: 10.1007/s00421-020-04458-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 07/31/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE The objective of this study was to assess whether artificial gravity attenuates any long-duration head-down 60 bed rest (HDBR)-induced alterations in motor unit (MU) properties. METHODS Twenty-four healthy participants (16 men; 8 women; 26-54 years) underwent 60-day HDBR with (n = 16) or without (n = 8) 30 min artificial gravity daily induced by whole-body centrifugation. Compound muscle action potential (CMAP), MU number (MUNIX) and MU size (MUSIX) were estimated using the method of Motor Unit Number Index in the Abductor digiti minimi and tibialis anterior muscles 5 days before (BDC-5), and during day 4 (HDT4) and 59 (HDT59) of HDBR. RESULTS The CMAP, MUNIX, and MUSIX at baseline did not change significantly in either muscle, irrespective of the intervention (p > 0.05). Across groups, there were no significant differences in any variable during HDBR, compared to BDC-5. CONCLUSION Sixty days of HDBR with or without artificial gravity does not induce alterations in motor unit number and size in the ADM or TA muscles in healthy individuals.
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17
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Delmont E, Wang F, Lefaucheur JP, Puma A, Breniere C, Beaudonnet G, Cintas P, Collin R, Fortanier E, Grapperon AM, Jomir L, Kribich H, Kouton L, Kuntzer T, Lenglet T, Magot A, Nordine T, Ochsner F, Bolloy G, Pereon Y, Salort-Campana E, Tard C, Vicino A, Verschueren A, Attarian S. Motor unit number index as an individual biomarker: Reference limits of intra-individual variability over time in healthy subjects. Clin Neurophysiol 2020; 131:2209-2215. [PMID: 32707479 DOI: 10.1016/j.clinph.2020.06.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/13/2020] [Accepted: 06/05/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Motor unit number index (MUNIX) is proposed to monitor neuromuscular disorders. Our objective is to determine the intra-individual variability over time of the MUNIX. METHODS In 11 different hospital centres, MUNIX was assessed twice, at least 3 months apart (range 90-360 days), in tibialis anterior (TA), abductor pollicis brevis (APB), abductor digiti minimi (ADM) and deltoid muscles in 118 healthy subjects. MUNIX sum score 2, 3 and 4 were respectively the sum of the MUNIX of the TA and ADM, of the TA, APB and ADM and of the TA, APB, ADM and deltoid muscles. RESULTS The repeatability of the MUNIX was better for sum scores than for single muscle recordings. The variability of the MUNIX was independent of sex, age, interval between measurements and was lower for experienced than non-experienced operators. The 95th percentile of the coefficient of variability of the MUNIX sum score 2, 3 and 4 were respectively 22%, 18% and 15% for experienced operators. CONCLUSIONS The MUNIX technique must be performed by experienced operators on several muscles to reduce its variability and improve its reliability. SIGNIFICANCE A variation of the MUNIX sum score ≥20% can be interpreted as a significant change of muscle innervation.
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Affiliation(s)
- Emilien Delmont
- Referral Centre for Neuromuscular Diseases and ALS, La Timone Hospital, Marseille, France; Aix-Marseille University, Timone Neuroscience Institute, UMR CNRS 7289, 13005 Marseille, France.
| | - François Wang
- Department of Neurophysiology, CHU Sart Tilman B35, 4000 Liège, Belgium
| | - Jean-Pascal Lefaucheur
- EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France; Unité de Neurophysiologie Clinique, Hôpital Henri Mondor, Assistance Publique - Hôpitaux de Paris, Créteil, France
| | - Angela Puma
- Université Côte d'Azur, Peripheral Nervous System and Muscle Department, CHU Nice, France
| | | | - Guillemette Beaudonnet
- Unité de Neurophysiologie Clinique et Epileptologie, CHU Bicêtre, Le Kremlin Bicêtre, France
| | | | - Romain Collin
- Department of Neurophysiology, CHU Sart Tilman B35, 4000 Liège, Belgium
| | - Etienne Fortanier
- Referral Centre for Neuromuscular Diseases and ALS, La Timone Hospital, Marseille, France
| | - Aude-Marie Grapperon
- Referral Centre for Neuromuscular Diseases and ALS, La Timone Hospital, Marseille, France
| | - Laurent Jomir
- Department of Neurology, Hospices Civiles de Lyon, France
| | - Hafida Kribich
- Referral Centre for Neuromuscular Diseases and ALS, La Timone Hospital, Marseille, France
| | - Ludivine Kouton
- Referral Centre for Neuromuscular Diseases and ALS, La Timone Hospital, Marseille, France
| | - Thierry Kuntzer
- Nerve Muscle Unit, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Timothee Lenglet
- Department of Clinical Neurophysiology, APHP, Pitié-Salpêtrière Hospital, Paris, France
| | - Armelle Magot
- Laboratoire d'explorations fonctionnelles, Referral Centre for Neuromuscular Disease Atlantique-Occitanie-Caraïbes, Hôtel-Dieu, 44093 Nantes, France
| | - Tarik Nordine
- EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France; Unité de Neurophysiologie Clinique, Hôpital Henri Mondor, Assistance Publique - Hôpitaux de Paris, Créteil, France
| | - François Ochsner
- Nerve Muscle Unit, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Gaëlle Bolloy
- Laboratoire d'explorations fonctionnelles, Referral Centre for Neuromuscular Disease Atlantique-Occitanie-Caraïbes, Hôtel-Dieu, 44093 Nantes, France
| | - Yann Pereon
- Laboratoire d'explorations fonctionnelles, Referral Centre for Neuromuscular Disease Atlantique-Occitanie-Caraïbes, Hôtel-Dieu, 44093 Nantes, France
| | | | - Céline Tard
- U1172 Lille Neuroscience et Cognition, CHU de Lille, Centre de référence des maladies neuromusculaires Nord Est Ile de France, Department of Neurology, Lille, France
| | - Alex Vicino
- Nerve Muscle Unit, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Annie Verschueren
- Referral Centre for Neuromuscular Diseases and ALS, La Timone Hospital, Marseille, France
| | - Shahram Attarian
- Referral Centre for Neuromuscular Diseases and ALS, La Timone Hospital, Marseille, France
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18
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Electrodiagnosis of Amyotrophic Lateral Sclerosis: A Review of Existing Guidelines. J Clin Neurophysiol 2020; 37:294-298. [DOI: 10.1097/wnp.0000000000000682] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
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19
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Cao B, Gu X, Zhang L, Hou Y, Chen Y, Wei Q, Ou R, Shang H. Reference values for the motor unit number index and the motor unit size index in five muscles. Muscle Nerve 2020; 61:657-661. [PMID: 32068896 DOI: 10.1002/mus.26837] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 02/12/2020] [Accepted: 02/16/2020] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Few reference values have been established for the motor unit number index (MUNIX) and motor unit size index (MUSIX). In this study we aimed to investigate the features of MUNIX in healthy individuals for five muscles. METHODS We measured the MUNIX in the right abductor pollicis brevis (APB), abductor digiti minimi (ADM), biceps brachii (BB), tibialis anterior (TA), and trapezius (TR) muscles. RESULTS The study enrolled 76 male and 74 female participants. The mean MUNIX and mean MUSIX of the right APB, ADM, BB, TA, and TR muscles were 191.0 ± 43.6, 179.1 ± 38.8, 179.7 ± 36.2, 152.1 ± 38.8, and 166.1 ± 40.7; and 60.4 ± 12.5, 59.3 ± 13.7, 43.8 ± 11.5, 41.3 ± 10.7, and 49.1 ± 15.2, respectively. MUNIX in these five muscles was inversely related to age. DISCUSSION The establishment of reference values for MUNIX and MUSIX in five muscles may help in monitoring the progression of neuromuscular diseases.
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Affiliation(s)
- Bei Cao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiaojing Gu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lingyu Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanbing Hou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yongping Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qianqian Wei
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ruwei Ou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huifang Shang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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20
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Alix JJP, McDonough HE, Sonbas B, French SJ, Rao DG, Kadirkamanathan V, McDermott CJ, Healey TJ, Shaw PJ. Multi-dimensional electrical impedance myography of the tongue as a potential biomarker for amyotrophic lateral sclerosis. Clin Neurophysiol 2020; 131:799-808. [PMID: 32066098 DOI: 10.1016/j.clinph.2019.12.418] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 12/09/2019] [Accepted: 12/15/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVE In amyotrophic lateral sclerosis (ALS) bulbar disease biomarkers are lacking. We evaluated a novel tongue electrical impedance myography (EIM) system, utilising both 2D and 3D electrode configurations for detection of tongue pathology. METHODS Longitudinal multi-frequency phase angle spectra were recorded from 41 patients with ALS (baseline, 3 and 6 months) and 30 healthy volunteers (baseline and 6 months). ALS functional rating scale-revised (ALSFRS-R) data and quantitative tongue strength measurements were collected. EIM data were analysed for reliability (intra-class correlation coefficient; ICC) and differences between patients and volunteers ascertained using both univariate (Mann-Whitney U test) and multivariate techniques (feature selection and L2 norm). RESULTS The device produced highly reliable data (pooled ICC: 0.836). Significant EIM differences were apparent between ALS patients and healthy volunteers (P < 0.001). EIM data demonstrated a significant relationship to tongue strength and bulbar ALSFRS-R scores (P < 0.015). The EIM recordings revealed a group level longitudinal change over 6 months and consistently identified patients in whom symptoms or tongue strength changed. CONCLUSIONS The novel EIM tongue system produces reliable data and can differentiate between healthy muscle and ALS-related disease. SIGNIFICANCE Tongue EIM utilising multiple frequencies and electrode configurations has potential as a bulbar disease biomarker in ALS.
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Affiliation(s)
- James J P Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK; Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
| | - Harry E McDonough
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
| | - Buket Sonbas
- Department of Automatic Control and Systems Engineering, University of Sheffield
| | - Sophie J French
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
| | - D Ganesh Rao
- Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, UK
| | | | - Christopher J McDermott
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK; Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, UK
| | - T Jamie Healey
- Department of Clinical Engineering, Sheffield Teaching Hospitals NHS Foundation Trust, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK; Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, UK
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21
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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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Fathi D, Nafissi S, Attarian S, Neuwirth C, Fatehi F. An overview of motor unit number index reproducibility in amyotrophic lateral sclerosis. IRANIAN JOURNAL OF NEUROLOGY 2019; 18:119-126. [PMID: 31749933 PMCID: PMC6858602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Motor unit number index (MUNIX) is an electrophysiological technique to give an estimate of functioning motor neurons in a muscle. For any given neurophysiological technique for the use in clinical or research studies, reproducibility between different operators and in a single operator in different times is one of the most important qualities, which must be evaluated and approved by different examiners and centers. After its introduction, testing the reproducibility of MUNIX was the aim of many studies to show this quality of the technique. In this review, we aimed to summarize all the studies, which have been performed up to now to approve MUNIX reproducibility in amyotrophic lateral sclerosis comparing healthy individuals.
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Affiliation(s)
- Davood Fathi
- Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran,Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahriar Nafissi
- Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahram Attarian
- Reference Centre for Neuromuscular Disorders and ALS, CHU La Timone, Aix-Marseille University, Marseille, France
| | - Christoph Neuwirth
- Neuromuscular Disease Unit/ALS Clinic, Kantonspital St. Gallen, St. Gallen, Switzerland
| | - Farzad Fatehi
- Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran,Iranian Center of Neurological Research, Tehran University of Medical Sciences, Tehran, Iran
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Gawel M, Zalewska E, Szmidt-Salkowska E, Lipowska M, Lusakowska A, Kaminska AM, Kostera-Pruszczyk A. Motor Unit Number Index (MUNIX) as a biomarker of motor unit loss in post-polio syndrome versus needle EMG. J Electromyogr Kinesiol 2019; 46:35-40. [DOI: 10.1016/j.jelekin.2019.03.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 02/16/2019] [Accepted: 03/08/2019] [Indexed: 12/14/2022] Open
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24
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Alix JJP, Neuwirth C, Gelder L, Burkhardt C, Castro J, de Carvalho M, Gawel M, Goedee S, Grosskreutz J, Lenglet T, Moglia C, Omer T, Schrooten M, Nandedkar S, Stalberg E, Barkhaus PE, Furtula J, van Dijk JP, Baldinger R, Costa J, Otto M, Sandberg A, Weber M. Assessment of the reliability of the motor unit size index (MUSIX) in single subject "round-robin" and multi-centre settings. Clin Neurophysiol 2019; 130:666-674. [PMID: 30870802 DOI: 10.1016/j.clinph.2019.01.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 11/16/2018] [Accepted: 01/03/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The motor unit size index (MUSIX) is incorporated into the motor unit number index (MUNIX). Our objective was to assess the intra-/inter-rater reliability of MUSIX in healthy volunteers across single subject "round robin" and multi-centre settings. METHODS Data were obtained from (i) a round-robin assessment in which 12 raters (6 with prior experience and 6 without) assessed six muscles (abductor pollicis brevis, abductor digiti minimi, biceps brachii, tibialis anterior, extensor digitorum brevis and abductor hallucis) and (ii) a multi-centre study with 6 centres studying the same muscles in 66 healthy volunteers. Intra/inter-rater data were provided by 5 centres, 1 centre provided only intra-rater data. Intra/inter-rater variability was assessed using the coefficient of variation (COV), Bland-Altman plots, bias and 95% limits of agreement. RESULTS In the round-robin assessment intra-rater COVs for MUSIX ranged from 7.8% to 28.4%. Inter-rater variability was between 7.8% and 16.2%. Prior experience did not impact on MUSIX values. In the multi-centre study MUSIX was more consistent than the MUNIX. Abductor hallucis was the least reliable muscle. CONCLUSIONS The MUSIX is a reliable neurophysiological biomarker of reinnervation. SIGNIFICANCE MUSIX could provide insights into the pathophysiology of a range of neuromuscular disorders, providing a quantitative biomarker of reinnervation.
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Affiliation(s)
- James J P Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield S10 2HQ, UK.
| | - Christoph Neuwirth
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital, St. Gallen, Switzerland
| | - Lucy Gelder
- Statistical Services Unit, University of Sheffield, UK
| | - Christian Burkhardt
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital, St. Gallen, Switzerland
| | - José Castro
- Department of Neurosciences, Hospital de Santa Maria, Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Portugal
| | - Mamede de Carvalho
- Department of Neurosciences, Hospital de Santa Maria, Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Portugal
| | - Malgorzata Gawel
- Department of Neurology, Medical University of Warsaw, Warsaw, Poland
| | - Stephan Goedee
- Brain Centre Rudolf Magnus, Department of Neurology and Neurosurgery, UMC Utrecht, Utrecht, The Netherlands
| | - Julian Grosskreutz
- Hans-Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Timothée Lenglet
- Département de Neurophysiologie, Groupe hospitalier Pitié-Salpêtrière, APHP, Paris, France
| | - Cristina Moglia
- ALS Centre of Torino, Department of Neuroscience "Rita Levi Montalcini", University of Torino, Torino, Italy
| | - Taha Omer
- Trinity College Biomedical Science Institute (TBSI) and Beaumont Hospital, Dublin, Ireland
| | - Maarten Schrooten
- Department of Neurology, University Hospital Leuven, Leuven, Belgium
| | - Sanjeev Nandedkar
- Natus Medical, Inc., 15 Dartantra Drive, Hopewell Junction, NY 12533, USA
| | - Erik Stalberg
- Department of Neuroscience, Clinical Neurophysiology, Uppsala University, Sweden
| | - Paul E Barkhaus
- Milwaukee Veterans Administration Medical Center and Medical College of Wisconsin, Milwaukee, WI, USA
| | - Jasna Furtula
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Reto Baldinger
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital, St. Gallen, Switzerland
| | - Joao Costa
- Department of Neurosciences, Hospital de Santa Maria, Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Portugal
| | - Marit Otto
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark
| | - Arne Sandberg
- Department of Neuroscience, Clinical Neurophysiology, Uppsala University, Sweden
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital, St. Gallen, Switzerland
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Fatehi F, Grapperon AM, Fathi D, Delmont E, Attarian S. The utility of motor unit number index: A systematic review. Neurophysiol Clin 2018; 48:251-259. [PMID: 30287192 DOI: 10.1016/j.neucli.2018.09.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Revised: 09/04/2018] [Accepted: 09/11/2018] [Indexed: 12/11/2022] Open
Abstract
The need for a valid biomarker for assessing disease progression and for use in clinical trials on amyotrophic lateral sclerosis (ALS) has stimulated the study of methods that could measure the number of motor units. Motor unit number index (MUNIX) is a newly developed neurophysiological technique that was demonstrated to have a good correlation with the number of motor units in a given muscle, even though it does not necessarily accurately express the actual number of viable motor neurons. Several studies demonstrated the technique is reproducible and capable of following motor neuron loss in patients with ALS and peripheral polyneuropathies. The main goal of this review was to conduct an extensive review of the literature using MUNIX. We conducted a systematic search in English medical literature published in two databases (PubMed and SCOPUS). In this review, we aimed to answer the following queries: Comparison of MUNIX with other MUNE techniques; the reproducibility of MUNIX; the utility of MUNIX in ALS and preclinical muscles, peripheral neuropathies, and other neurological disorders.
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Affiliation(s)
- Farzad Fatehi
- Reference Center for Neuromuscular Diseases and ALS, Timone University Hospital, 13385 Marseille, France; Department of Neurology, Iranian Center of Neurological Research, Neuroscience Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Aude-Marie Grapperon
- Reference Center for Neuromuscular Diseases and ALS, Timone University Hospital, 13385 Marseille, France
| | - Davood Fathi
- Department of Neurology, Iranian Center of Neurological Research, Neuroscience Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran; Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Emilien Delmont
- Reference Center for Neuromuscular Diseases and ALS, Timone University Hospital, 13385 Marseille, France
| | - Shahram Attarian
- Reference Center for Neuromuscular Diseases and ALS, Timone University Hospital, 13385 Marseille, France; Inserm, GMGF, Aix-Marseille University, Marseille, 13385 France.
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26
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Querin G, Lenglet T, Debs R, Stojkovic T, Behin A, Salachas F, Le Forestier N, Amador MDM, Lacomblez L, Meininger V, Bruneteau G, Laforêt P, Blancho S, Marchand-Pauvert V, Bede P, Hogrel JY, Pradat PF. The motor unit number index (MUNIX) profile of patients with adult spinal muscular atrophy. Clin Neurophysiol 2018; 129:2333-2340. [PMID: 30248623 DOI: 10.1016/j.clinph.2018.08.025] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 07/27/2018] [Accepted: 08/27/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Objective of this study is the comprehensive characterisation of motor unit (MU) loss in type III and IV Spinal Muscular Atrophy (SMA) using motor unit number index (MUNIX), and evaluation of compensatory mechanisms based on MU size indices (MUSIX). METHODS Nineteen type III and IV SMA patients and 16 gender- and age-matched healthy controls were recruited. Neuromuscular performance was evaluated by muscle strength testing and functional scales. Compound motor action potential (CMAP), MUNIX and MUSIX were studied in the abductor pollicis brevis (APB), abductor digiti minimi (ADM), deltoid, tibialis anterior and trapezius muscles. A composite MUNIX score was also calculated. RESULTS SMA patients exhibited significantly reduced MUNIX values (p < 0.05) in all muscles, while MUSIX was increased, suggesting active re-innervation. Significant correlations were identified between MUNIX/MUSIX and muscle strength. Similarly, composite MUNIX scores correlated with disability scores. Interestingly, in SMA patients MUNIX was much lower in the ADM than in the ABP, a pattern which is distinctly different from that observed in Amyotrophic Lateral Sclerosis. CONCLUSIONS MUNIX is a sensitive measure of MU loss in adult forms of SMA and correlates with disability. SIGNIFICANCE MUNIX evaluation is a promising candidate biomarker for longitudinal studies and pharmacological trials in adult SMA patients.
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Affiliation(s)
- Giorgia Querin
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Timothée Lenglet
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; APHP, Hôpital Pitié-Salpêtriere, Service d'Explorations Fonctionnelles, Paris, France
| | - Rabab Debs
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; APHP, Hôpital Pitié-Salpêtriere, Service d'Explorations Fonctionnelles, Paris, France
| | - Tanya Stojkovic
- APHP, Centre de Référence Maladies Neuromusculaires Paris-Est, Institut de Myologie, Hôpital Pitié-Salpêtrière, Paris, France
| | - Anthony Behin
- APHP, Centre de Référence Maladies Neuromusculaires Paris-Est, Institut de Myologie, Hôpital Pitié-Salpêtrière, Paris, France
| | - François Salachas
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Nadine Le Forestier
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; Département de recherche en éthique, EA 1610: Etudes des sciences et techniques, Université Paris Sud/Paris Saclay, Paris, France
| | - Maria Del Mar Amador
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Lucette Lacomblez
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Vincent Meininger
- Hôpital des Peupliers, Ramsay Générale de Santé, F-75013 Paris, France
| | - Gaelle Bruneteau
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Pascal Laforêt
- Neurology Department, Nord/Est/Ile de France Neuromuscular Center, Raymond-Poincaré Hospital, Garches, France; INSERM U1179, END-ICAP, Versailles Saint-Quentin-en-Yvelines University, Montigny-le-Bretonneux, France
| | - Sophie Blancho
- Institut pour la Recherche sur la Moelle Epinière et l'Encéphale (IRME), Paris, France
| | | | - Peter Bede
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; Computational Neuroimaging Group, Academic Unit of Neurology, Trinity College Dublin, Ireland
| | - Jean-Yves Hogrel
- Institute of Myology, Neuromuscular Investigation Center, Paris, France; Institut pour la Recherche sur la Moelle Epinière et l'Encéphale (IRME), Paris, France
| | - Pierre-François Pradat
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute Ulster University, C-TRIC, Altnagelvin Hospital, Derry/Londonderry, United Kingdom.
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27
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Neuwirth C, Braun N, Claeys KG, Bucelli R, Fournier C, Bromberg M, Petri S, Goedee S, Lenglet T, Leppanen R, Canosa A, Goodman I, Al-Lozi M, Ohkubo T, Hübers A, Atassi N, Abrahao A, Funke A, Appelfeller M, Tümmler A, Finegan E, Glass JD, Babu S, Ladha SS, Kwast-Rabben O, Juntas-Morales R, Coffey A, Chaudhry V, Vu T, Saephanh C, Newhard C, Zakrzewski M, Rosier E, Hamel N, Raheja D, Raaijman J, Ferguson T, Weber M. Implementing Motor Unit Number Index (MUNIX) in a large clinical trial: Real world experience from 27 centres. Clin Neurophysiol 2018; 129:1756-1762. [DOI: 10.1016/j.clinph.2018.04.614] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 03/15/2018] [Accepted: 04/08/2018] [Indexed: 12/12/2022]
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de Carvalho M, Barkhaus PE, Nandedkar SD, Swash M. Motor unit number estimation (MUNE): Where are we now? Clin Neurophysiol 2018; 129:1507-1516. [DOI: 10.1016/j.clinph.2018.04.748] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 03/31/2018] [Accepted: 04/29/2018] [Indexed: 12/13/2022]
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29
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Bas J, Delmont E, Fatehi F, Salort-Campana E, Verschueren A, Pouget J, Lefebvre MN, Grapperon AM, Attarian S. Motor unit number index correlates with disability in Charcot-Marie-Tooth disease. Clin Neurophysiol 2018; 129:1390-1396. [PMID: 29729594 DOI: 10.1016/j.clinph.2018.04.359] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 03/11/2018] [Accepted: 04/08/2018] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The aim of this study was to assess the usefulness of motor unit number index (MUNIX) technique in Charcot-Marie-Tooth disease and test the correlation between MUNIX and clinical impairment. METHODS MUNIX technique was performed in the abductor pollicis brevis (APB), the abductor digiti minimi (ADM) and the tibialis anterior (TA) muscles in the nondominant side. A MUNIX sum score was calculated by adding the MUNIX of these 3 muscles. Muscle strength was measured using the MRC (medical research council) scale. Disability was evaluated using several functional scales, including CMT neuropathy score version 2 (CMTNSv2) and overall neuropathy limitation scale (ONLS). RESULTS A total of 56 CMT patients were enrolled. The MUNIX scores of the ADM, APB and TA muscles correlated with the MRC score of the corresponding muscle (p < 0.01). The MUNIX sum score correlated with the clinical scales CMTNSv2 (r = -0.65, p < 0.01) and ONLS (r = -0.57, p < 0.01). CONCLUSION MUNIX correlates with muscle strength and clinical measurements of disability in patients with CMT disease. SIGNIFICANCE The MUNIX technique evaluates motor axonal loss and correlates with disability. The MUNIX sum score may be a useful outcome measure of disease progression in CMT.
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Affiliation(s)
- Joachim Bas
- Referral Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France
| | - Emilien Delmont
- Referral Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France; Aix-Marseille University, UMR 7286, Medicine Faculty, Marseille, France
| | - Farzad Fatehi
- Referral Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France
| | - Emmanuelle Salort-Campana
- Referral Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France; Aix-Marseille University, Inserm, GMGF, Marseille, France
| | - Annie Verschueren
- Referral Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France
| | - Jean Pouget
- Referral Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France; Aix-Marseille University, Inserm, GMGF, Marseille, France
| | - Marie-Noëlle Lefebvre
- CIC-CPCET, La Timone University Hospital, Aix-Marseille University, Marseille, France
| | - Aude-Marie Grapperon
- Referral Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France
| | - Shahram Attarian
- Referral Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France; Aix-Marseille University, Inserm, GMGF, Marseille, France.
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30
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Neuwirth C, Weber M. Unmasking the silent motor neuron loss in amyotrophic lateral sclerosis. Muscle Nerve 2018; 58:184-185. [PMID: 29572875 DOI: 10.1002/mus.26134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 03/20/2018] [Accepted: 03/21/2018] [Indexed: 11/07/2022]
Affiliation(s)
- Christoph Neuwirth
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St Gallen, Rorschacherstrasse 95 St Gallen, CH-9007, Switzerland
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St Gallen, Rorschacherstrasse 95 St Gallen, CH-9007, Switzerland
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31
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Nandedkar SD, Barkhaus PE, Stålberg EV, Neuwirth C, Weber M. Motor unit number index: Guidelines for recording signals and their analysis. Muscle Nerve 2018; 58:374-380. [DOI: 10.1002/mus.26099] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2018] [Indexed: 11/07/2022]
Affiliation(s)
| | | | - Erik V. Stålberg
- University Hospital; Uppsala Sweden
- Institute of Neurosciences; Uppsala Sweden
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32
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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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33
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Benmouna K, Milants C, Wang FC. Correlations between MUNIX and adapted multiple point stimulation MUNE methods. Clin Neurophysiol 2018; 129:341-344. [DOI: 10.1016/j.clinph.2017.11.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 10/12/2017] [Accepted: 11/06/2017] [Indexed: 12/13/2022]
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34
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Padilla Colón CJ, Molina-Vicenty IL, Frontera-Rodríguez M, García-Ferré A, Rivera BP, Cintrón-Vélez G, Frontera-Rodríguez S. Muscle and Bone Mass Loss in the Elderly Population: Advances in diagnosis and treatment. JOURNAL OF BIOMEDICINE (SYDNEY, NSW) 2018; 3:40-49. [PMID: 30505650 PMCID: PMC6261527 DOI: 10.7150/jbm.23390] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Aging is the result of different functional changes leading to a substantial reduction of all human capabilities. A variety of anatomical and physiological changes occur with advancing age. These changes are more evident in the elderly population. There are various methods to measure muscle and bone mass loss, but the dual X-ray absorptiometry (DXA) is considered one of the most efficient. The elderly population (65 years and older) has been increasing throughout the years. Loss of muscle mass (sarcopenia) and loss bone mass (osteopenia or osteoporosis) with advancing age, when untreated, represent a major public health problem for the elderly population and may result in loss of independence in later life. Untreated age-related sarcopenia and osteopenia/osteoporosis increase the risk for falls and fractures, making older individuals more susceptible to the development of mobility limitations or severe disabilities that ultimately affect their capacity for independence. In this review, we will discuss the muscle and bone mass loss in the elderly population and advances in diagnosis and treatment.
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Affiliation(s)
- Carlos J. Padilla Colón
- Department of Education, Physical Education and Health Programs, San Juan, PR, USA
- Research and Development Service (151), VA Caribbean Healthcare System, San Juan PR, USA
| | - Irma L. Molina-Vicenty
- Research and Development Service (151), VA Caribbean Healthcare System, San Juan PR, USA
- Department of Biology, University of Puerto Rico, Rio Piedras Campus, San Juan, PR, USA
- Department of Radiological Sciences, University of Puerto Rico, Medical Sciences Campus, San Juan, PR, USA
| | - María Frontera-Rodríguez
- Research and Development Service (151), VA Caribbean Healthcare System, San Juan PR, USA
- Department of Biology, University of Puerto Rico, Rio Piedras Campus, San Juan, PR, USA
| | - Alejandra García-Ferré
- Research and Development Service (151), VA Caribbean Healthcare System, San Juan PR, USA
- Department of Biology, University of Puerto Rico, Rio Piedras Campus, San Juan, PR, USA
| | | | - Gerardo Cintrón-Vélez
- Research and Development Service (151), VA Caribbean Healthcare System, San Juan PR, USA
- Department of Biology, University of Puerto Rico, Rio Piedras Campus, San Juan, PR, USA
| | - Sebastián Frontera-Rodríguez
- Research and Development Service (151), VA Caribbean Healthcare System, San Juan PR, USA
- Department of Biology, University of Puerto Rico, Rio Piedras Campus, San Juan, PR, USA
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Al-Chalabi A, Hardiman O, Kiernan MC, Chiò A, Rix-Brooks B, van den Berg LH. Amyotrophic lateral sclerosis: moving towards a new classification system. Lancet Neurol 2017; 15:1182-94. [PMID: 27647646 DOI: 10.1016/s1474-4422(16)30199-5] [Citation(s) in RCA: 260] [Impact Index Per Article: 37.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 07/29/2016] [Accepted: 08/04/2016] [Indexed: 12/18/2022]
Abstract
Amyotrophic lateral sclerosis is a progressive adult-onset neurodegenerative disease that primarily affects upper and lower motor neurons, but also frontotemporal and other regions of the brain. The extent to which each neuronal population is affected varies between individuals. The subsequent patterns of disease progression form the basis of diagnostic criteria and phenotypic classification systems, with considerable overlap in the clinical terms used. This overlap can lead to confusion between diagnosis and phenotype. Formal classification systems such as the El Escorial criteria and the International Classification of Diseases are systematic approaches but they omit features that are important in clinical management, such as rate of progression, genetic basis, or functional effect. Therefore, many neurologists use informal classification approaches that might not be systematic, and could include, for example, anatomical descriptions such as flail-arm syndrome. A new strategy is needed to combine the benefits of a systematic approach to classification with the rich and varied phenotypic descriptions used in clinical practice.
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Affiliation(s)
- Ammar Al-Chalabi
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, King's College London, London, UK.
| | - Orla Hardiman
- Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia; Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Adriano Chiò
- "Rita Levi Montalcini" Department of Neuroscience, University of Turin, Turin, Italy
| | - Benjamin Rix-Brooks
- Carolinas Neuromuscular/ALS-MDA Center, Department of Neurology, Carolinas Medical Center, Carolinas Healthcare System Neurosciences Institute, Charlotte, NC, USA; University of North Carolina School of Medicine-Charlotte Campus, Charlotte, NC, USA
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Netherlands
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Peng Y, Zhang Y. Improving the repeatability of Motor Unit Number Index (MUNIX) by introducing additional epochs at low contraction levels. Clin Neurophysiol 2017; 128:1158-1165. [PMID: 28511128 DOI: 10.1016/j.clinph.2017.03.044] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 02/25/2017] [Accepted: 03/27/2017] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To evaluate the repeatability of (Motor Unit Number Index) MUNIX under repeatability conditions, specify the origin of variations and provide strategies for quality control. METHODS MUNIX calculations were performed on the bicep brachii muscles of eight healthy subjects. Negative effect of suboptimal electrode positions on MUNIX accuracy was eliminated by employing the high-density surface electromyography technique. MUNIX procedures that utilized a variety of surface interferential pattern (SIP) epoch recruitment strategies (including the original MUNIX procedure, two proposed improvement strategies and their combinations) were described. For each MUNIX procedure, ten thousands of different SIP pools were constructed by randomly recruiting necessary SIP epochs from a large SIP epoch pool (3 datasets, 9 independent electromyography recordings at different contraction levels per dataset and 10 SIP epochs per recording) and implemented for MUNIX calculation. The repeatability of each MUNIX procedure was assessed by summarizing the resulting MUNIX distribution and compared to investigate the effect of SIP epoch selection strategy on repeatability performance. RESULTS SIP epochs selected at lower contraction levels have a stronger influence on the repeatability of MUNIX than those selected at higher contraction levels. MUNIX under repeatability conditions follows a normal distribution and the standard deviation can be significantly reduced by introducing more epochs near the MUNIX definition line. CONCLUSIONS The MUNIX technique shows an inherent variation attributable to SIP epochs at low contraction levels. It is recommended that more epochs should be sampled at these low contraction levels to improve the repeatability. SIGNIFICANCE The present study thoroughly documented the inherent variation of MUNIX and the causes, and offered practical solutions to improve the repeatability of MUNIX.
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Affiliation(s)
- Yun Peng
- Department of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA
| | - Yingchun Zhang
- Department of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA; Guangdong Provincial Work Injury Rehabilitation Center, Guangzhou, Guangdong 510000, China.
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Grimaldi S, Duprat L, Grapperon AM, Verschueren A, Delmont E, Attarian S. Global motor unit number index sum score for assessing the loss of lower motor neurons in amyotrophic lateral sclerosis. Muscle Nerve 2017; 56:202-206. [PMID: 28164325 DOI: 10.1002/mus.25595] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 01/18/2017] [Accepted: 01/25/2017] [Indexed: 11/11/2022]
Abstract
INTRODUCTION We propose a motor unit number index (MUNIX) global sum score in amyotrophic lateral sclerosis (ALS) to estimate the loss of functional motor units. METHODS MUNIX was assessed for 18 ALS patients and 17 healthy controls in 7 muscles: the abductor pollicis brevis (APB), abductor digiti minimi (ADM), tibialis anterior (TA), deltoid, trapezius, submental complex, and orbicularis oris. RESULTS MUNIX was significantly lower in ALS patients than in healthy controls for the APB, ADM, TA, and trapezius muscles. The MUNIX sum score of 4 muscles (ADM + APB + trapezius + TA) was lower in ALS patients (P = 0.01) and was correlated with clinical scores. DISCUSSION The global MUNIX sum score proposed in this study estimates the loss of lower motor neurons in several body regions, including the trapezius, and is correlated with clinical impairment in ALS patients. Muscle Nerve 56: 202-206, 2017.
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Affiliation(s)
- Stephan Grimaldi
- Reference Center for Neuromuscular Diseases and ALS, APHM, University Hospital of Marseille/Timone University Hospital, 264 rue Saint Pierre, 13005, Marseille, France
| | - Lauréline Duprat
- Reference Center for Neuromuscular Diseases and ALS, APHM, University Hospital of Marseille/Timone University Hospital, 264 rue Saint Pierre, 13005, Marseille, France
| | - Aude-Marie Grapperon
- Reference Center for Neuromuscular Diseases and ALS, APHM, University Hospital of Marseille/Timone University Hospital, 264 rue Saint Pierre, 13005, Marseille, France
| | - Annie Verschueren
- Reference Center for Neuromuscular Diseases and ALS, APHM, University Hospital of Marseille/Timone University Hospital, 264 rue Saint Pierre, 13005, Marseille, France
| | - Emilien Delmont
- Reference Center for Neuromuscular Diseases and ALS, APHM, University Hospital of Marseille/Timone University Hospital, 264 rue Saint Pierre, 13005, Marseille, France
| | - Shahram Attarian
- Reference Center for Neuromuscular Diseases and ALS, APHM, University Hospital of Marseille/Timone University Hospital, 264 rue Saint Pierre, 13005, Marseille, France.,Aix Marseille University, INSERM, GMGF, Marseille, France
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Motor Unit Number Index (MUNIX) detects motor neuron loss in pre-symptomatic muscles in Amyotrophic Lateral Sclerosis. Clin Neurophysiol 2017; 128:495-500. [DOI: 10.1016/j.clinph.2016.11.026] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 11/03/2016] [Accepted: 11/20/2016] [Indexed: 11/22/2022]
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Escorcio-Bezerra ML, Oliveira ASB, De Oliveira Braga NI, Manzano GM. Improving the reproducibility of motor unit number index. Muscle Nerve 2017; 55:635-638. [PMID: 27438087 DOI: 10.1002/mus.25260] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 07/13/2016] [Accepted: 07/18/2016] [Indexed: 12/12/2022]
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Philibert M, Grapperon AM, Delmont E, Attarian S. Monitoring the short-term effect of intravenous immunoglobulins in multifocal motor neuropathy using motor unit number index. Clin Neurophysiol 2017; 128:235-240. [PMID: 27988478 DOI: 10.1016/j.clinph.2016.11.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Revised: 10/30/2016] [Accepted: 11/12/2016] [Indexed: 12/12/2022]
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