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Grapperon AM, Harlay V, Boucekine M, Devos D, Rolland AS, Desnuelle C, Delmont E, Verschueren A, Attarian S. Could the motor unit number index be an early prognostic biomarker for amyotrophic lateral sclerosis? Clin Neurophysiol 2024; 163:47-55. [PMID: 38703699 DOI: 10.1016/j.clinph.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVE To evaluate the associations between motor unit number index (MUNIX) and disease progression and prognosis in amyotrophic lateral sclerosis (ALS) in a large-scale longitudinal study. METHODS MUNIX was performed at the patient's first visit, at 3, 6, and 12 months in 4 muscles. MUNIX data from the patients were compared with those from 38 age-matched healthy controls. Clinical data included the revised ALS functional rating scale (ALSFRS-R), the forced vital capacity (FVC), and the survival of the patients. RESULTS Eighty-two patients were included at baseline, 62 were evaluated at three months, 48 at six months, and 33 at twelve months. MUNIX score was lower in ALS patients compared to controls. At baseline, MUNIX was correlated with ALSFRS-R and FVC. Motor unit size index (MUSIX) was correlated with patient survival. Longitudinal analyses showed that MUNIX decline was greater than ALSFRS-R decline at each evaluation. A baseline MUNIX score greater than 378 predicted survival over the 12-month period with a sensitivity of 82% and a specificity of 56%. CONCLUSIONS This longitudinal study suggests that MUNIX could be an early quantitative marker of disease progression and prognosis in ALS. SIGNIFICANCE MUNIX might be considered as potential indicator for monitoring disease progression.
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Affiliation(s)
- Aude-Marie Grapperon
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France.
| | - Vincent Harlay
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France
| | - Mohamed Boucekine
- Aix Marseille University, Center for Studies and Research on Health Services and Quality of Life, Marseille, France
| | - David Devos
- Department of Medical Pharmacology, Expert Center of ALS Lille University, INSERM UMRS_1772, Lille University Hospital, LICEND COEN Centre, LilNCog - Lille Neuroscience & Cognition, 59000, ACT4ALS-MND Network, France
| | - Anne-Sophie Rolland
- Department of Medical Pharmacology, Expert Center of ALS Lille University, INSERM UMRS_1772, Lille University Hospital, LICEND COEN Centre, LilNCog - Lille Neuroscience & Cognition, 59000, ACT4ALS-MND Network, France
| | - Claude Desnuelle
- Côte d'Azur University, Medical Faculty of Nice, Department of Neurology, Nice, France
| | - Emilien Delmont
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France
| | - Annie Verschueren
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France
| | - Shahram Attarian
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France; Aix Marseille University, Inserm, GMGF, Marseille, France
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Hearn SL, Stino AM, Howard IM, Malhotra G, Robinson L. Serial electrodiagnostic testing: Utility and indications in adult neurological disorders. Muscle Nerve 2024; 69:670-681. [PMID: 38549195 DOI: 10.1002/mus.28083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 03/07/2024] [Indexed: 05/08/2024]
Abstract
Although existing guidelines address electrodiagnostic (EDX) testing in identifying neuromuscular conditions, guidance regarding the uses and limitations of serial (or repeat) EDX testing is limited. By assessing neurophysiological change longitudinally across time, serial electrodiagnosis can clarify a diagnosis and potentially provide valuable prognostic information. This monograph presents four broad indications for serial electrodiagnosis in adult peripheral neurological disorders. First, where clinical change has raised suspicion for a new or ongoing lesion, EDX reassessment for spatial spread of abnormality, involvement of previously normal muscle or nerve, and/or evolving pathophysiology can clarify a diagnosis. Second, where diagnosis of a progressive neuromuscular condition is uncertain, electrophysiological data from a second time point can confirm or refute suspicion. Third, to establish prognosis after a static nerve injury, a repeat study can assess the presence and extent of reinnervation. Finally, faced with a limited initial study (as when complicated by patient or environmental factors), a repeat EDX study can supplement missing or limited data to provide needed clarity. Repeat EDX studies carry certain limitations, however, such as with prognostication in the setting of remote or chronic lesions, sensory predominant fascicular injury, or mild axonal injury. Nevertheless, serial electrodiagnosis remains a valuable and underused tool in the diagnostic and prognostic evaluation of neuromuscular conditions.
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Affiliation(s)
- Sandra L Hearn
- Department of Physical Medicine and Rehabilitation, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Amro Maher Stino
- Division of Neuromuscular Medicine, Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Ileana M Howard
- Department of Rehabilitation Medicine, University of Washington, Washington, USA
| | - Gautam Malhotra
- Altair Health, Morristown, New Jersey, USA
- Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Lawrence Robinson
- Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, Ontario, Canada
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Shin-Yi Lin C, Howells J, Rutkove S, Nandedkar S, Neuwirth C, Noto YI, Shahrizaila N, Whittaker RG, Bostock H, Burke D, Tankisi H. Neurophysiological and imaging biomarkers of lower motor neuron dysfunction in motor neuron diseases/amyotrophic lateral sclerosis: IFCN handbook chapter. Clin Neurophysiol 2024; 162:91-120. [PMID: 38603949 DOI: 10.1016/j.clinph.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/07/2024] [Accepted: 03/12/2024] [Indexed: 04/13/2024]
Abstract
This chapter discusses comprehensive neurophysiological biomarkers utilised in motor neuron disease (MND) and, in particular, its commonest form, amyotrophic lateral sclerosis (ALS). These encompass the conventional techniques including nerve conduction studies (NCS), needle and high-density surface electromyography (EMG) and H-reflex studies as well as novel techniques. In the last two decades, new methods of assessing the loss of motor units in a muscle have been developed, that are more convenient than earlier methods of motor unit number estimation (MUNE),and may use either electrical stimulation (e.g. MScanFit MUNE) or voluntary activation (MUNIX). Electrical impedance myography (EIM) is another novel approach for the evaluation that relies upon the application and measurement of high-frequency, low-intensity electrical current. Nerve excitability techniques (NET) also provide insights into the function of an axon and reflect the changes in resting membrane potential, ion channel dysfunction and the structural integrity of the axon and myelin sheath. Furthermore, imaging ultrasound techniques as well as magnetic resonance imaging are capable of detecting the constituents of morphological changes in the nerve and muscle. The chapter provides a critical description of the ability of each technique to provide neurophysiological insight into the complex pathophysiology of MND/ALS. However, it is important to recognise the strengths and limitations of each approach in order to clarify utility. These neurophysiological biomarkers have demonstrated reliability, specificity and provide additional information to validate and assess lower motor neuron dysfunction. Their use has expanded the knowledge about MND/ALS and enhanced our understanding of the relationship between motor units, axons, reflexes and other neural circuits in relation to clinical features of patients with MND/ALS at different stages of the disease. Taken together, the ultimate goal is to aid early diagnosis, distinguish potential disease mimics, monitor and stage disease progression, quantify response to treatment and develop potential therapeutic interventions.
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Affiliation(s)
- Cindy Shin-Yi Lin
- Faculty of Medicine and Health, Central Clinical School, Brain and Mind Centre, University of Sydney, Sydney 2006, Australia.
| | - James Howells
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Seward Rutkove
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sanjeev Nandedkar
- Natus Medical Inc, Middleton, Wisconsin, USA and Medical College of Wisconsin, Milwaukee, WI, USA
| | - Christoph Neuwirth
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital, St. Gallen, Switzerland
| | - Yu-Ichi Noto
- Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nortina Shahrizaila
- Division of Neurology, Department of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Roger G Whittaker
- Newcastle University Translational and Clinical Research Institute (NUTCRI), Newcastle University., Newcastle Upon Tyne, United Kingdom
| | - Hugh Bostock
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, Queen Square, WC1N 3BG, London, United Kingdom
| | - David Burke
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Hatice Tankisi
- Department of Clinical Neurophysiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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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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Risi B, Cotti Piccinelli S, Gazzina S, Labella B, Caria F, Damioli S, Poli L, Padovani A, Filosto M. Prognostic Usefulness of Motor Unit Number Index (MUNIX) in Patients Newly Diagnosed with Amyotrophic Lateral Sclerosis. J Clin Med 2023; 12:5036. [PMID: 37568439 PMCID: PMC10420094 DOI: 10.3390/jcm12155036] [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: 06/18/2023] [Revised: 07/25/2023] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
The MUNIX technique allows us to estimate the number and size of surviving motor units (MUs). Previous studies on ALS found correlations between MUNIX and several clinical measures, but its potential role as a predictor of disease progression rate (DPR) has not been thoroughly evaluated to date. We aimed to investigate MUNIX's ability to predict DPR at a six-month follow up. METHODS 24 ALS patients with short disease duration (<24 months from symptoms' onset) were enrolled and divided according to their baseline DPR into two groups (normal [DPR-N] and fast [DPR-F] progressors). MUNIX values were obtained from five muscles (TA, APB, ADM, FDI, Trapezius) and averaged for each subject. RESULTS MUNIX was found to predict DPR at follow up in a multivariable linear regression model; namely, patients with lower MUNIX values were at risk of showing greater DPR scores at follow up. The result was replicated in a simple logistic regression analysis, with the dichotomic category "MUNIX-Low" as the independent variable and the outcome "DPR-F" as the dependent variable. CONCLUSIONS our results pave the way for the use of the MUNIX method as a prognostic tool in early ALS, enabling patients' stratification according to their rates of future decline.
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Affiliation(s)
- Barbara Risi
- Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; (B.R.); (S.C.P.); (B.L.); (A.P.)
- Unit of Neurology, ASST Spedali Civili, 25123 Brescia, Italy;
- NeMO-Brescia Clinical Center for Neuromuscular Diseases, 25064 Gussago, Italy; (F.C.); (S.D.)
| | - Stefano Cotti Piccinelli
- Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; (B.R.); (S.C.P.); (B.L.); (A.P.)
- NeMO-Brescia Clinical Center for Neuromuscular Diseases, 25064 Gussago, Italy; (F.C.); (S.D.)
| | - Stefano Gazzina
- Unit of Neurophysiology, ASST Spedali Civili, 25123 Brescia, Italy;
| | - Beatrice Labella
- Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; (B.R.); (S.C.P.); (B.L.); (A.P.)
- Unit of Neurology, ASST Spedali Civili, 25123 Brescia, Italy;
| | - Filomena Caria
- NeMO-Brescia Clinical Center for Neuromuscular Diseases, 25064 Gussago, Italy; (F.C.); (S.D.)
| | - Simona Damioli
- NeMO-Brescia Clinical Center for Neuromuscular Diseases, 25064 Gussago, Italy; (F.C.); (S.D.)
| | - Loris Poli
- Unit of Neurology, ASST Spedali Civili, 25123 Brescia, Italy;
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; (B.R.); (S.C.P.); (B.L.); (A.P.)
- Unit of Neurology, ASST Spedali Civili, 25123 Brescia, Italy;
| | - Massimiliano Filosto
- Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; (B.R.); (S.C.P.); (B.L.); (A.P.)
- NeMO-Brescia Clinical Center for Neuromuscular Diseases, 25064 Gussago, Italy; (F.C.); (S.D.)
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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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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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Fournier CN. Considerations for Amyotrophic Lateral Sclerosis (ALS) Clinical Trial Design. Neurotherapeutics 2022; 19:1180-1192. [PMID: 35819713 PMCID: PMC9275386 DOI: 10.1007/s13311-022-01271-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2022] [Indexed: 11/20/2022] Open
Abstract
Thoughtful clinical trial design is critical for efficient therapeutic development, particularly in the field of amyotrophic lateral sclerosis (ALS), where trials often aim to detect modest treatment effects among a population with heterogeneous disease progression. Appropriate outcome measure selection is necessary for trials to provide decisive and informative results. Investigators must consider the outcome measure's reliability, responsiveness to detect change when change has actually occurred, clinical relevance, and psychometric performance. ALS clinical trials can also be performed more efficiently by utilizing statistical enrichment techniques. Innovations in ALS prediction models allow for selection of participants with less heterogeneity in disease progression rates without requiring a lead-in period, or participants can be stratified according to predicted progression. Statistical enrichment can reduce the needed sample size and improve study power, but investigators must find a balance between optimizing statistical efficiency and retaining generalizability of study findings to the broader ALS population. Additional progress is still needed for biomarker development and validation to confirm target engagement in ALS treatment trials. Selection of an appropriate biofluid biomarker depends on the treatment mechanism of interest, and biomarker studies should be incorporated into early phase trials. Inclusion of patients with ALS as advisors and advocates can strengthen clinical trial design and study retention, but more engagement efforts are needed to improve diversity and equity in ALS research studies. Another challenge for ALS therapeutic development is identifying ways to respect patient autonomy and improve access to experimental treatment, something that is strongly desired by many patients with ALS and ALS advocacy organizations. Expanded access programs that run concurrently to well-designed and adequately powered randomized controlled trials may provide an opportunity to broaden access to promising therapeutics without compromising scientific integrity or rushing regulatory approval of therapies without adequate proof of efficacy.
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Affiliation(s)
- Christina N Fournier
- Department of Neurology, Emory University, Atlanta, GA, USA.
- Department of Veterans Affairs, Atlanta, GA, USA.
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Nandedkar SD, Barkhaus PE, V Stålberg E. Analysis of the compound muscle action potential scan: Step Index (STEPIX) and Amplitude Index (AMPIX). Clin Neurophysiol 2022; 139:119-127. [DOI: 10.1016/j.clinph.2022.04.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/24/2022] [Accepted: 04/11/2022] [Indexed: 11/29/2022]
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12
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Okhovat AA, Advani S, Ziaadini B, Panahi A, Salehizadeh S, Nafissi S, Haghi Ashtiani B, Rajabally YA, Fatehi F. The value of MUNIX as an objective electrophysiological biomarker of disease progression in CIDP. Muscle Nerve 2022; 65:433-439. [PMID: 35040150 DOI: 10.1002/mus.27498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 12/31/2021] [Accepted: 01/09/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION/AIMS Objective outcome measures to monitor treatment response and guide treatment are lacking in chronic inflammatory demyelinating polyneuropathy (CIDP). We aimed to evaluate the motor unit number index (MUNIX) as an outcome measurement in patients with CIDP and investigate the correlation of MUNIX with functional and standard electrodiagnostic tests in a single follow-up study. METHODS We evaluated MUNIX of the abductor pollicis brevis (APB), abductor digiti minimi (ADM), and tibialis anterior (TA) muslces bilaterally. Muscle force was assessed by Medical Research Council sumscores (MRCSS). Functional measures used were the Overall Neuropathy Limitation Score (ONLS) and the Rasch-built Overall Disability Scale (R-ODS) at baseline and after six months of treatment. Standard electrophysiology was evaluated by the Nerve Conduction Study Score (NCSS). RESULTS Twenty patients were included at baseline, and 16 completed the follow-up study. Significant correlations were found between the MUNIX sumscore and both MRCSS and NCSS at baseline, between both the pinch strength and grip and upper limb MUNIX at baseline and follow-up, and between MUNIX of TA and both lower limb MRCSS with lower limb ONLS at baseline and follow-up. Significant correlations also were found between MUNIX sumscore change and MRCSS change, R-ODS change, and ONLS change. DISCUSSION MUNIX changes correlated with strength and electrophysiological improvements in CIDP patients. This suggests that MUNIX may represent a useful objective biomarker for patient follow-up.
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Affiliation(s)
- Ali Asghar Okhovat
- Neurology Department, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Soroor Advani
- Neurology Department, Shohada Tajrish Hospital, Shahid-Beheshti University of Medical Sciences, Tehran, Iran
| | - Bentolhoda Ziaadini
- Neurology Research center, Kerman University of Medical Sciences, Kerman, Iran
| | - Akram Panahi
- Neurology Department, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Saeideh Salehizadeh
- Neurologist, Tehran University of Medical Sciences, Sina Hospital, Tehran, Iran
| | - Shahriar Nafissi
- Neurology Department, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Bahram Haghi Ashtiani
- Neurology Department, Firouzgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | | | - Farzad Fatehi
- Neurology Department, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
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13
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Abstract
The purpose of our review was to compare the distribution of motor unit properties across human muscles of different sizes and recruitment ranges. Although motor units can be distinguished based on several different attributes, we focused on four key parameters that have a significant influence on the force produced by muscle during voluntary contractions: the number of motor units, average innervation number, the distributions of contractile characteristics, and discharge rates within motor unit pools. Despite relatively few publications on this topic, current data indicate that the most influential factor in the distribution of these motor unit properties between muscles is innervation number. Nonetheless, despite a fivefold difference in innervation number between a hand muscle (first dorsal interosseus) and a lower leg muscle (tibialis anterior), the general organization of their motor unit pools, and the range of discharge rates appear to be relatively similar. These observations provide foundational knowledge for studies on the control of movement and the changes that occur with aging and neurological disorders.
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Affiliation(s)
- Jacques Duchateau
- Laboratory of Applied Biology and Neurophysiology, ULB Neuroscience Institute, Université Libre de Bruxelles, Brussels, Belgium
| | - Roger M Enoka
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado
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14
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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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15
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Pino MG, Rich KA, Kolb SJ. Update on Biomarkers in Spinal Muscular Atrophy. Biomark Insights 2021; 16:11772719211035643. [PMID: 34421296 PMCID: PMC8371741 DOI: 10.1177/11772719211035643] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/07/2021] [Indexed: 11/25/2022] Open
Abstract
The availability of disease modifying therapies for spinal muscular atrophy (SMA) has created an urgent need to identify clinically meaningful biomarkers. Biomarkers present a means to measure and evaluate neurological disease across time. Changes in biomarkers provide insight into disease progression and may reveal biologic, physiologic, or pharmacologic phenomena occurring prior to clinical detection. Efforts to identify biomarkers for SMA, a genetic motor neuron disease characterized by motor neuron degeneration and weakness, have culminated in a number of putative molecular and physiologic markers that evaluate biological media (eg, blood and cerebrospinal fluid [CSF]) or nervous system function. Such biomarkers include SMN2 copy number, SMN mRNA and protein levels, neurofilament proteins (NFs), plasma protein analytes, creatine kinase (CK) and creatinine (Crn), and various electrophysiology and imaging measures. SMN2 copy number inversely correlates with disease severity and is the best predictor of clinical outcome in untreated individuals. SMN mRNA and protein are commonly measured in the blood or CSF of patients receiving SMA therapies, particularly those aimed at increasing SMN protein expression, and provide insight into current disease state. NFs have proven to be robust prognostic, disease progression, and pharmacodynamic markers for SMA infants undergoing treatment, but less so for adolescents and adults. Select plasma proteins are altered in SMA individuals and may track response to therapy. CK and Crn from blood correlate with motor function and disease severity status and are useful for predicting which individuals will respond to therapy. Electrophysiology measures comprise the most reliable means for monitoring motor function throughout disease course and are sensitive enough to detect neuromuscular changes before overt clinical manifestation, making them robust predictive and pharmacodynamic biomarkers. Finally, magnetic resonance imaging and muscle ultrasonography are non-invasive techniques for studying muscle structure and physiology and are useful diagnostic tools, but cannot reliably track disease progression. Importantly, biomarkers can provide information about the underlying mechanisms of disease as well as reveal subclinical disease progression, allowing for more appropriate timing and dosing of therapy for individuals with SMA. Recent therapeutic advancements in SMA have shown promising results, though there is still a great need to identify and understand the impact of biomarkers in modulating disease onset and progression.
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Affiliation(s)
- Megan G Pino
- Department of Neurology, The Ohio State
University Wexner Medical Center, Columbus, OH, USA
| | - Kelly A Rich
- Department of Neurology, The Ohio State
University Wexner Medical Center, Columbus, OH, USA
| | - Stephen J Kolb
- Department of Neurology, The Ohio State
University Wexner Medical Center, Columbus, OH, USA
- Department of Biological Chemistry and
Pharmacology, The Ohio State University Wexner Medical Center, Columbus, OH,
USA
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16
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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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17
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Kriss A, Jenkins T. Muscle MRI in motor neuron diseases: a systematic review. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:161-175. [PMID: 34151652 DOI: 10.1080/21678421.2021.1936062] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Objective: To summarize applications of muscle magnetic resonance imaging (MRI) in cross-sectional assessment and longitudinal monitoring of motor neuron diseases and evaluate associations with clinical assessment techniques.Methods: PubMed and Scopus were searched for research published up to May 2021 relating to muscle MRI in motor neuron diseases, according to predefined inclusion and exclusion criteria. Studies were systematically appraised for bias and data were extracted for discussion.Results: Twenty-eight papers met inclusion criteria. The studies assessed muscle T1- and T2-weighted signal, diffusion, muscle volume, and fat infiltration, employing quantitative, qualitative, and semi-quantitative approaches. Various regions of interest were considered; changes in thigh and calf muscles were most frequently reported. Preliminary evidence of concordance between clinical and radiological findings and utility as an objective longitudinal biomarker is emerging.Conclusion: Muscle MRI appears a promising objective, versatile, and practical biomarker to assess motor neuron diseases.
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Affiliation(s)
| | - Thomas Jenkins
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
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18
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Sassani M, Alix JJ, McDermott CJ, Baster K, Hoggard N, Wild JM, Mortiboys HJ, Shaw PJ, Wilkinson ID, Jenkins TM. Magnetic resonance spectroscopy reveals mitochondrial dysfunction in amyotrophic lateral sclerosis. Brain 2021; 143:3603-3618. [PMID: 33439988 DOI: 10.1093/brain/awaa340] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/16/2020] [Accepted: 08/08/2020] [Indexed: 12/16/2022] Open
Abstract
Mitochondrial dysfunction is postulated to be central to amyotrophic lateral sclerosis (ALS) pathophysiology. Evidence comes primarily from disease models and conclusive data to support bioenergetic dysfunction in vivo in patients is currently lacking. This study is the first to assess mitochondrial dysfunction in brain and muscle in individuals living with ALS using 31P-magnetic resonance spectroscopy (MRS), the modality of choice to assess energy metabolism in vivo. We recruited 20 patients and 10 healthy age and gender-matched control subjects in this cross-sectional clinico-radiological study. 31P-MRS was acquired from cerebral motor regions and from tibialis anterior during rest and exercise. Bioenergetic parameter estimates were derived including: ATP, phosphocreatine, inorganic phosphate, adenosine diphosphate, Gibbs free energy of ATP hydrolysis (ΔGATP), phosphomonoesters, phosphodiesters, pH, free magnesium concentration, and muscle dynamic recovery constants. Linear regression was used to test for associations between brain data and clinical parameters (revised amyotrophic functional rating scale, slow vital capacity, and upper motor neuron score) and between muscle data and clinico-neurophysiological measures (motor unit number and size indices, force of contraction, and speed of walking). Evidence for primary dysfunction of mitochondrial oxidative phosphorylation was detected in the brainstem where ΔGATP and phosphocreatine were reduced. Alterations were also detected in skeletal muscle in patients where resting inorganic phosphate, pH, and phosphomonoesters were increased, whereas resting ΔGATP, magnesium, and dynamic phosphocreatine to inorganic phosphate recovery were decreased. Phosphocreatine in brainstem correlated with respiratory dysfunction and disability; in muscle, energy metabolites correlated with motor unit number index, muscle power, and speed of walking. This study provides in vivo evidence for bioenergetic dysfunction in ALS in brain and skeletal muscle, which appears clinically and electrophysiologically relevant. 31P-MRS represents a promising technique to assess the pathophysiology of mitochondrial function in vivo in ALS and a potential tool for future clinical trials targeting bioenergetic dysfunction.
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Affiliation(s)
- Matilde Sassani
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - James J Alix
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Christopher J McDermott
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Kathleen Baster
- Statistical Service Unit, University of Sheffield, Sheffield, UK
| | - Nigel Hoggard
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Jim M Wild
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Heather J Mortiboys
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Iain D Wilkinson
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Thomas M Jenkins
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
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19
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Yu H, Chen L, Zhang S, He J, Fan D. Early Axonal Dysfunction of the Peripheral Nervous System Influences Disease Progression of ALS: Evidence From Clinical Neuroelectrophysiology. Front Neurol 2021; 12:574919. [PMID: 33643181 PMCID: PMC7905229 DOI: 10.3389/fneur.2021.574919] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 01/20/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: To assess the prognostic value of the decrement in compound muscle action potential amplitude within 12 months of symptom onset (CMAP-12 amplitude) for the survival of patients with amyotrophic lateral sclerosis (ALS). Methods: Patients were stratified into 4 groups according to the decrement of the CMAP-12 amplitudes: normal (≥the lower limit of normal, LLN), mild (<LLN but ≥50% of LLN), moderate (<50% but ≥30% of LLN) and severe (<30% of LLN). All patients were followed up every 3 months. Survival was analyzed using the Kaplan-Meier method and Cox proportional hazards regression. Results: A total of 149 patients were included in the analysis [90 males (60.4%); mean age at onset, 50.7 years]. The decrement of CMAP-12 amplitudes was normal in 24.2% of patients, mild in 22.1%, moderate in 15.4% and severe in 38.3%. Kaplan–Meier analysis showed there was a significant difference in the overall survival across the 4 groups (p < 0.05). Further pairwise comparisons identified significant differences in survival between the normal vs. the moderate group (p < 0.05) and the normal vs. the severe group (p < 0.01). There was a significant inverse correlation between the CMAP-12 amplitude and overall survival. Compared to that in the normal group, survival in the moderately and severely decreased groups was significantly shorter (HR 3.394, 95% CI 1.292–8.917, p = 0.013; and HR 4.732, 95% CI 2.032–11.017; p = 0.000, respectively). Conclusions: Our results suggest that CMAP-12 amplitude could be a prognostic indicator of disease progression in ALS. More importantly, our findings provide clinical evidence for the viewpoint that early axonal dysfunction of the peripheral nervous system accelerates disease progression of ALS.
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Affiliation(s)
- Huiyan Yu
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Department of Neurology, National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Lu Chen
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Shuo Zhang
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Jing He
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Department of Neurology, National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China.,Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
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20
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Birkbeck MG, Blamire AM, Whittaker RG, Sayer AA, Dodds RM. The role of novel motor unit magnetic resonance imaging to investigate motor unit activity in ageing skeletal muscle. J Cachexia Sarcopenia Muscle 2021; 12:17-29. [PMID: 33354940 PMCID: PMC7890268 DOI: 10.1002/jcsm.12655] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/27/2020] [Accepted: 11/05/2020] [Indexed: 12/14/2022] Open
Abstract
Sarcopenia is a progressive and generalized disease, more common in older adults, which manifests as a loss of muscle strength and mass. The pathophysiology of sarcopenia is still poorly understood with many mechanisms suggested. Age associated changes to the neuromuscular architecture, including motor units and their constituent muscle fibres, represent one such mechanism. Electromyography can be used to distinguish between different myopathies and produce counts of motor units. Evidence from electromyography studies suggests that with age, there is a loss of motor units, increases to the sizes of remaining units, and changes to their activity patterns. However, electromyography is invasive, can be uncomfortable, does not reveal the exact spatial position of motor units within muscle and is difficult to perform in deep muscles. We present a novel diffusion-weighted magnetic resonance imaging technique called 'motor unit magnetic resonance imaging (MUMRI)'. MUMRI aims to improve our understanding of the changes to the neuromuscular system associated with ageing, sarcopenia and other neuromuscular diseases. To date, we have demonstrated that MUMRI can be used to detect statistically significant differences in fasciculation rate of motor units between (n = 4) patients with amyotrophic lateral sclerosis (mean age ± SD: 53 ± 15) and a group of (n = 4) healthy controls (38 ± 7). Patients had significantly higher rates of fasciculation compared with healthy controls (mean = 99.1/min, range = 25.7-161.0 in patients vs. 7.7/min, range = 4.3-9.7 in controls; P < 0.05. MUMRI has detected differences in size, shape, and distribution of single human motor units between (n = 5) young healthy volunteers (29 ± 2.2) and (n = 5) healthy older volunteers (65.6 ± 14.8). The maximum size of motor unit territories in the older group was 12.4 ± 3.3 mm and 9.7 ± 2.7 mm in the young group; P < 0.05. MUMRI is an entirely non-invasive tool, which can be used to detect physiological and pathological changes to motor units in neuromuscular diseases. MUMRI also has the potential to be used as an intermediate outcome measure in sarcopenia trials.
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Affiliation(s)
- Matthew G Birkbeck
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.,NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,Northern Medical Physics and Clinical Engineering, Freeman Hospital, Newcastle upon Tyne NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Andrew M Blamire
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Roger G Whittaker
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Avan Aihie Sayer
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.,NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Richard M Dodds
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.,NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
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21
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Lawley A, Abbas A, Seri S, Rajabally YA. Peripheral nerve electrophysiology studies in relation to fatigue in patients with chronic inflammatory demyelinating polyneuropathy. Clin Neurophysiol 2020; 131:2926-2931. [PMID: 32928696 DOI: 10.1016/j.clinph.2020.08.011] [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] [Received: 12/04/2019] [Revised: 07/07/2020] [Accepted: 08/03/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To explore the relationship between fatigue, standard electrophysiological parameters and number and size of functioning motor units in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). METHODS Experienced fatigue was assessed using the linearly-weighted, modified Rasch-built fatigue severity scale (R-FSS) and the multidimensional Checklist of Individual Strength (CIS). Averaged electrophysiology values were calculated from multiple nerves. Motor Unit Number Index (MUNIX) technique was utilised to assess motor unit function. Assessments were repeated in 15 patients receiving regular intravenous immunoglobulin therapy, with changes in parameters calculated. RESULTS R-FSS and CIS scores did not correlate MUNIX or MUSIX sum scores from 3 different muscles. Inverse correlation was observed only between distal CMAP area and R-FSS but not CIS scores. However, changes in distal CMAP area and R-FSS scores on repeat assessment were not correlated. CONCLUSIONS Experienced fatigue does not appear to correlate with loss of functioning motor units in patients with CIDP. Changes in experienced fatigue on repeat assessment did not correlate with changes in any of the electrophysiological parameters, suggesting fatigue experienced in CIDP is not strongly correlated with peripheral nerve dysfunction. SIGNIFICANCE Nerve conduction studies and MUNIX values do not appear to be useful surrogate markers for fatigue in CIDP.
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Affiliation(s)
- Andrew Lawley
- School of Life and Health Sciences, Aston Brain Centre, Aston University, Birmingham, UK; Department of Clinical Neurophysiology, The Birmingham Women's and Children's Hospital NHS Foundation Trust, UK
| | - Ahmed Abbas
- Inflammatory Neuropathy Clinic, University Hospitals Birmingham, Birmingham, UK
| | - Stefano Seri
- School of Life and Health Sciences, Aston Brain Centre, Aston University, Birmingham, UK; Department of Clinical Neurophysiology, The Birmingham Women's and Children's Hospital NHS Foundation Trust, UK
| | - Yusuf A Rajabally
- Inflammatory Neuropathy Clinic, University Hospitals Birmingham, Birmingham, UK; Aston Medical School, Aston University, Birmingham, UK.
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22
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Rajabkhah S, Moradi K, Okhovat AA, Van Alfen N, Fathi D, Aghaghazvini L, Ashraf-Ganjouei A, Attarian S, Nafissi S, Fatehi F. Application of muscle ultrasound for the evaluation of patients with amyotrophic lateral sclerosis: An observational cross-sectional study. Muscle Nerve 2020; 62:516-521. [PMID: 32710682 DOI: 10.1002/mus.27036] [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] [Received: 02/27/2020] [Revised: 07/20/2020] [Accepted: 07/21/2020] [Indexed: 12/26/2022]
Abstract
INTRODUCTION We evaluated the association between muscle ultrasound, number of motor units, and clinical parameters, and assessed their utility for distinguishing amyotrophic lateral scleorisis (ALS) patients from healthy individuals. METHODS Three muscle pairs (abductor pollicis brevis, abductor digiti minimi, and tibialis anterior) of 18 ALS patients and 18 controls underwent muscle ultrasound (echointensity and thickness) and assessment of motor unit number index (MUNIX). The clinical and functional status of participants were also assessed. RESULTS Mean age of the patients was 53.8 ± 12.1 years, and score on the ALS Functional Rating Scale-Revised was 38.9 ± 4.1. Echointensity of all tested muscles of ALS participants was significantly higher than that of controls, but there was no significant difference in muscle thickness. Muscle echointensity correlated significantly with clinical and electrophysiological parameters. CONCLUSION Echointensity of muscles was highly associated with clinical scales and MUNIX, confirming its relevance as an ancillary diagnostic test in ALS patients.
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Affiliation(s)
- Sahebeh Rajabkhah
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Jalal al Ahmad, Tehran, 1411713135, Iran
| | - Kamyar Moradi
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Jalal al Ahmad, Tehran, 1411713135, Iran
| | - Ali A Okhovat
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Jalal al Ahmad, Tehran, 1411713135, Iran.,Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nens Van Alfen
- Department of Neurology and Clinical Neurophysiology, Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands
| | - Davood Fathi
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Jalal al Ahmad, Tehran, 1411713135, Iran.,Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Leila Aghaghazvini
- Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Ashraf-Ganjouei
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Jalal al Ahmad, Tehran, 1411713135, Iran
| | - Shahram Attarian
- Neuromuscular Disease and ALS Reference Center, Timone University Hospital Aix-Marseille University, Marseille, France
| | - Shahriar Nafissi
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Jalal al Ahmad, Tehran, 1411713135, Iran.,Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Fatehi
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Jalal al Ahmad, Tehran, 1411713135, Iran.,Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
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23
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Neuwirth C, Weber M. Estimating the Number of Motor Neurons: First Go to the Roots Before Cropping the Fruits. Muscle Nerve 2020; 62:154-155. [PMID: 32406530 DOI: 10.1002/mus.26920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/07/2020] [Accepted: 05/09/2020] [Indexed: 11/11/2022]
Affiliation(s)
- Christoph Neuwirth
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St Gallen, St Gallen, Switzerland
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24
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Bashford J, Mills K, Shaw C. The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review. Clin Neurophysiol 2020; 131:942-950. [PMID: 32044239 PMCID: PMC7083223 DOI: 10.1016/j.clinph.2019.12.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/23/2019] [Accepted: 12/14/2019] [Indexed: 01/25/2023]
Abstract
OBJECTIVE Amyotrophic lateral sclerosis (ALS) is an adult-onset neurodegenerative disease that leads to inexorable motor decline and a median survival of three years from symptom onset. Surface EMG represents a major technological advance that has been harnessed in the development of novel neurophysiological biomarkers. We have systematically reviewed the current application of surface EMG techniques in ALS. METHODS We searched PubMed to identify 42 studies focusing on surface EMG and its associated analytical methods in the diagnosis, prognosis and monitoring of ALS patients. RESULTS A wide variety of analytical techniques were identified, involving motor unit decomposition from high-density grids, motor unit number estimation and measurements of neuronal hyperexcitability or neuromuscular architecture. Some studies have proposed specific diagnostic and prognostic criteria however clinical calibration in large ALS cohorts is currently lacking. The most validated method to monitor disease is the motor unit number index (MUNIX), which has been implemented as an outcome measure in two ALS clinical trials. CONCLUSION Surface EMG offers significant practical and analytical flexibility compared to invasive techniques. To capitalise on this fully, emphasis must be placed upon the multi-disciplinary collaboration of clinicians, bioengineers, mathematicians and biostatisticians. SIGNIFICANCE Surface EMG techniques can enrich effective biomarker development in ALS.
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Affiliation(s)
- 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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25
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Geijo-Barrientos E, Pastore-Olmedo C, De Mingo P, Blanquer M, Gómez Espuch J, Iniesta F, Iniesta NG, García-Hernández A, Martín-Estefanía C, Barrios L, Moraleda JM, Martínez S. Intramuscular Injection of Bone Marrow Stem Cells in Amyotrophic Lateral Sclerosis Patients: A Randomized Clinical Trial. Front Neurosci 2020; 14:195. [PMID: 32265627 PMCID: PMC7105864 DOI: 10.3389/fnins.2020.00195] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 02/24/2020] [Indexed: 12/11/2022] Open
Abstract
Background Preclinical studies suggest that stem cells may be a valuable therapeutic tool in amyotrophic lateral sclerosis (ALS). As it has been demonstrated that there are molecular changes at the end-plate during the early stages of motorneuron degeneration in animal models, we hypothesize that the local effect of this stem cell delivery method could slow the progressive loss of motor units (MUs) in ALS patients. Methods We designed a Phase I/II clinical trial to study the safety of intramuscularly implanting autologous bone marrow mononuclear cells (BMMCs), including stem cells, in ALS patients and their possible effects on the MU of the tibialis anterior (TA) muscle. Twenty-two patients participated in a randomized, double-blind, placebo-controlled trial that consisted of a baseline visit followed by one intramuscular injection of BMNCs, follow-up visits at 30, 90, 180, and 360 days, and an additional year of clinical follow-up. In each patient, one TA muscle was injected with a single dose of BMMCs while the contralateral muscle was given a placebo; the sides were selected randomly. All visits included a complete EMG study of both TA muscles. Results Our results show that (1) the intramuscular injection of BMMCs is a safe procedure; (2) ALS patients show heterogeneities in the degree of TA injury; (3) a comparison of placebo-injected muscles with BMMC-injected muscles showed significant differences in only one parameter, the D50 index used to quantify the Compound Muscle Action Potential (CMAP) scan curve. This parameter was higher in the BMMC-injected TA muscle at both 90 days (placebo side: 29.55 ± 2.89, n = 20; experimental side: 39.25 ± 3.21, n = 20; p < 0.01) and 180 days (placebo side: 29.35 ± 3.29, n = 17; experimental side: 41.24 ± 3.34, n = 17; p < 0.01). Conclusion This procedure had no effect on the TA muscle MU properties, with the exception of the D50 index. Finding differences in just this index supports the fact that it may be much more sensitive than other electrophysiological parameters when studying treatment effects. Given the low number of patients and their heterogeneity, these results justify exploring the efficacy of this procedure in further patients and other muscles, through Phase II trials. Clinical Trial Registration www.clinicaltrials.gov (identifier NCT02286011); EudraCT number 2011-004801-25.
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Affiliation(s)
| | - Carlos Pastore-Olmedo
- Institute of Neurosciences, Universidad Miguel Hernández-CSIC, Alicante, Spain.,Clinical Neurophysiology Service, San Juan University Hospital, Alicante, Spain
| | - Pedro De Mingo
- Service of Clinical Neurophysiology, Virgen de la Arrixaca University Clinical Hospital, Murcia, Spain
| | - Miguel Blanquer
- Hematopoietic Stem Cell Transplant and Cell Therapy Unit, Hematology Service, Virgen de la Arrixaca University Hospital, University of Murcia, Murcia, Spain.,Institute for Bio-Health Research of Murcia (IMIB-Arrixaca), Murcia, Spain
| | - Joaquín Gómez Espuch
- Hematopoietic Stem Cell Transplant and Cell Therapy Unit, Hematology Service, Virgen de la Arrixaca University Hospital, University of Murcia, Murcia, Spain
| | - Francisca Iniesta
- Hematopoietic Stem Cell Transplant and Cell Therapy Unit, Hematology Service, Virgen de la Arrixaca University Hospital, University of Murcia, Murcia, Spain.,Institute for Bio-Health Research of Murcia (IMIB-Arrixaca), Murcia, Spain
| | - Natalia García Iniesta
- Hematopoietic Stem Cell Transplant and Cell Therapy Unit, Hematology Service, Virgen de la Arrixaca University Hospital, University of Murcia, Murcia, Spain.,Institute for Bio-Health Research of Murcia (IMIB-Arrixaca), Murcia, Spain
| | - Ana García-Hernández
- Hematopoietic Stem Cell Transplant and Cell Therapy Unit, Hematology Service, Virgen de la Arrixaca University Hospital, University of Murcia, Murcia, Spain.,Institute for Bio-Health Research of Murcia (IMIB-Arrixaca), Murcia, Spain
| | | | - Laura Barrios
- Department of Applied Statistics, SGAI-CSIC, Madrid, Spain
| | - José M Moraleda
- Hematopoietic Stem Cell Transplant and Cell Therapy Unit, Hematology Service, Virgen de la Arrixaca University Hospital, University of Murcia, Murcia, Spain.,Institute for Bio-Health Research of Murcia (IMIB-Arrixaca), Murcia, Spain
| | - Salvador Martínez
- Institute of Neurosciences, Universidad Miguel Hernández-CSIC, Alicante, Spain.,Institute for Bio-Health Research of Murcia (IMIB-Arrixaca), Murcia, Spain
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26
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Gao F, Cao Y, Zhang C, Zhang Y. A Preliminary Study of Effects of Channel Number and Location on the Repeatability of Motor Unit Number Index (MUNIX). Front Neurol 2020; 11:191. [PMID: 32256444 PMCID: PMC7090144 DOI: 10.3389/fneur.2020.00191] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Accepted: 02/28/2020] [Indexed: 01/01/2023] Open
Affiliation(s)
- Farong Gao
- School of Automation, Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China
| | - Yueying Cao
- School of Automation, Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China
| | - Chuan Zhang
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
| | - Yingchun Zhang
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
- *Correspondence: Yingchun Zhang
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27
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Higashihara M, Menon P, van den Bos M, Pavey N, Vucic S. Reproducibility of motor unit number index and MScanFit motor unit number estimation across intrinsic hand muscles. Muscle Nerve 2020; 62:192-200. [PMID: 32077117 DOI: 10.1002/mus.26839] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 02/09/2020] [Accepted: 02/15/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION We sought to evaluate the reproducibility of the motor unit number index (MUNIX) and MScanFit motor unit number estimation (MScan) when recording was performed over intrinsic hand muscles. METHODS The compound muscle action potential (CMAP) amplitude, MUNIX, and MScan were measured from the abductor pollicis brevis (APB), first dorsal interosseous (FDI), and abductor digit minimi (ADM) muscles from 15 healthy volunteers on three different occasions. RESULTS The reproducibility of CMAP amplitudes was excellent, with intraclass correlation coefficients (ICC) of 0.86 (APB), 0.90 (FDI), and 0.96 (ADM). Motor unit number index (ICCAPB 0.73, ICCFDI 0.85, ICCADM 0.85) and MScan (ICCAPB 0.86, ICCFDI 0.83, ICCADM 0.81) were highly reproducible across the three muscles. There were no significant correlations between MUNIX and MScan coefficients of variation (CV) and CMAP amplitude CVs. DISCUSSION Reproducibility of MUNIX and MScan was not significantly different across the intrinsic hand muscles and was independent of CMAP amplitude variability.
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Affiliation(s)
- Mana Higashihara
- Westmead Clinical School, University of Sydney, Westmead, New South Wales, Australia
| | - Parvathi Menon
- Westmead Clinical School, University of Sydney, Westmead, New South Wales, Australia
| | - Mehdi van den Bos
- Westmead Clinical School, University of Sydney, Westmead, New South Wales, Australia
| | - Nathan Pavey
- Westmead Clinical School, University of Sydney, Westmead, New South Wales, Australia
| | - Steve Vucic
- Westmead Clinical School, University of Sydney, Westmead, New South Wales, Australia
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28
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Bashford JA, Wickham A, Iniesta R, Drakakis EM, Boutelle MG, Mills KR, Shaw CE. The rise and fall of fasciculations in amyotrophic lateral sclerosis. Brain Commun 2020; 2:fcaa018. [PMID: 32901231 PMCID: PMC7425399 DOI: 10.1093/braincomms/fcaa018] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Amyotrophic lateral sclerosis is a devastating neurodegenerative disease with a median survival of 3 years from symptom onset. Accessible and reliable biomarkers of motor neuron decline are urgently needed to quicken the pace of drug discovery. Fasciculations represent an early pathophysiological hallmark of amyotrophic lateral sclerosis and can be reliably detected by high-density surface electromyography. We set out to quantify fasciculation potentials prospectively over 14 months, seeking comparisons with established markers of disease progression. Twenty patients with amyotrophic lateral sclerosis and five patients with benign fasciculation syndrome underwent up to seven assessments each. At each assessment, we performed the amyotrophic lateral sclerosis-functional rating scale, sum power score, slow vital capacity, 30-min high-density surface electromyography recordings from biceps and gastrocnemius and the motor unit number index. We employed the Surface Potential Quantification Engine, which is an automated analytical tool to detect and characterize fasciculations. Linear mixed-effect models were employed to account for the pseudoreplication of serial measurements. The amyotrophic lateral sclerosis-functional rating scale declined by 0.65 points per month (P < 0.0001), 35% slower than average. A total of 526 recordings were analysed. Compared with benign fasciculation syndrome, biceps fasciculation frequency in amyotrophic lateral sclerosis was 10 times greater in strong muscles and 40 times greater in weak muscles. This was coupled with a decline in fasciculation frequency among weak muscles of -7.6/min per month (P = 0.003), demonstrating the rise and fall of fasciculation frequency in biceps muscles. Gastrocnemius behaved differently, whereby strong muscles in amyotrophic lateral sclerosis had fasciculation frequencies five times greater than patients with benign fasciculation syndrome while weak muscles were increased by only 1.5 times. Gastrocnemius demonstrated a significant decline in fasciculation frequency in strong muscles (2.4/min per month, P < 0.0001), which levelled off in weak muscles. Fasciculation amplitude, an easily quantifiable surrogate of the reinnervation process, was highest in the biceps muscles that transitioned from strong to weak during the study. Pooled analysis of >900 000 fasciculations revealed inter-fasciculation intervals <100 ms in the biceps of patients with amyotrophic lateral sclerosis, particularly in strong muscles, consistent with the occurrence of doublets. We hereby present the most comprehensive longitudinal quantification of fasciculation parameters in amyotrophic lateral sclerosis, proposing a unifying model of the interactions between motor unit loss, muscle power and fasciculation frequency. The latter showed promise as a disease biomarker with linear rates of decline in strong gastrocnemius and weak biceps muscles, reflecting the motor unit loss that drives clinical progression.
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Affiliation(s)
- James A 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, London, UK
- Correspondence to: James A. Bashford, MRCP, PhD UK Dementia Research Institute, Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, 5 Cutcombe Road, King’s College London, London SE5 9RT, UK E-mail:
| | - Aidan Wickham
- Department of Bioengineering, Imperial College London, London, UK
| | - Raquel Iniesta
- Department of Biostatistics and Health Informatics, King’s College London, London, UK
| | | | | | - Kerry R Mills
- 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, London, UK
| | - Chris E Shaw
- 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, London, UK
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29
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Sonoo M. Far-field potentials in the compound muscle action potential. Muscle Nerve 2019; 61:271-279. [PMID: 31650553 DOI: 10.1002/mus.26743] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 10/12/2019] [Accepted: 10/18/2019] [Indexed: 11/09/2022]
Abstract
It has long been believed that the compound muscle action potential (CMAP) in motor-nerve conduction studies (MCSs) records the action potential beneath the active electrode over the muscle belly. However, recent studies have revealed the contribution of the reference electrode to the CMAP, most prominent in the tibial nerve, followed by the ulnar nerve. This "reference electrode potential" is recorded when the conventional reference electrode distal to the muscle belly is connected to a proximal reference. It must be a far-field potential (FFP) considering its distribution, although the precise mechanism of its generation has not been clarified. The conventional theory of termination of the action potential at the muscle-tendon junction is insufficient. Regarding the ulnar CMAP, interosseous muscles mostly contribute to the FFPs. New understanding of CMAP based on the FFP theory may provide new insights into the interpretation of MCSs and related techniques, including motor unit number estimation.
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Affiliation(s)
- Masahiro Sonoo
- Department of Neurology, Teikyo University School of Medicine, Itabashi-ku, Tokyo, Japan
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30
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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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31
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Lawley A, Seri S, Rajabally YA. Motor unit number index (MUNIX) in chronic inflammatory demyelinating polyneuropathy: A potential role in monitoring response to intravenous immunoglobulins. Clin Neurophysiol 2019; 130:1743-1749. [DOI: 10.1016/j.clinph.2019.06.231] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Revised: 05/30/2019] [Accepted: 06/28/2019] [Indexed: 02/07/2023]
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32
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Wang ZL, Liu M, Ding Q, Hu Y, Cui L. Split-hand index in amyotrophic lateral sclerosis: an F-wave study. Amyotroph Lateral Scler Frontotemporal Degener 2019; 20:562-567. [PMID: 31364874 DOI: 10.1080/21678421.2019.1646770] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Zhi-Li Wang
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China and
| | - Mingsheng Liu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China and
| | - Qingyun Ding
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China and
| | - Youfang Hu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China and
| | - Liying Cui
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China and
- Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, China
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33
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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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Chipika RH, Finegan E, Li Hi Shing S, Hardiman O, Bede P. Tracking a Fast-Moving Disease: Longitudinal Markers, Monitoring, and Clinical Trial Endpoints in ALS. Front Neurol 2019; 10:229. [PMID: 30941088 PMCID: PMC6433752 DOI: 10.3389/fneur.2019.00229] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Accepted: 02/22/2019] [Indexed: 12/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) encompasses a heterogeneous group of phenotypes with different progression rates, varying degree of extra-motor involvement and divergent progression patterns. The natural history of ALS is increasingly evaluated by large, multi-time point longitudinal studies, many of which now incorporate presymptomatic and post-mortem assessments. These studies not only have the potential to characterize patterns of anatomical propagation, molecular mechanisms of disease spread, but also to identify pragmatic monitoring markers. Sensitive markers of progressive neurodegenerative change are indispensable for clinical trials and individualized patient care. Biofluid markers, neuroimaging indices, electrophysiological markers, rating scales, questionnaires, and other disease-specific instruments have divergent sensitivity profiles. The discussion of candidate monitoring markers in ALS has a dual academic and clinical relevance, and is particularly timely given the increasing number of pharmacological trials. The objective of this paper is to provide a comprehensive and critical review of longitudinal studies in ALS, focusing on the sensitivity profile of established and emerging monitoring markers.
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Affiliation(s)
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
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35
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Czell D. [Genetics of Amyotrophic Lateral Sclerosis]. PRAXIS 2019; 108:37-44. [PMID: 30621546 DOI: 10.1024/1661-8157/a003153] [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: 06/09/2023]
Abstract
Genetics of Amyotrophic Lateral Sclerosis Abstract. In recent years, the knowledge of gene mutation that can lead to amyotrophic lateral sclerosis (ALS), frontotemporal dementia, or a FTD-ALS complex has been drastically improvedwith the help of next-generation sequencing (NGS), so that many new genes and their molecular genetic mechanisms and symptoms of the patients could be described. For example it was found that in the same family with the same gene mutation patients with ALS, FTD or another neurodegenerative disease can be found. The knowledge about the genes does not only contribute to the understanding of these diseases, but should help develop new therapeutic possibilities.
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Affiliation(s)
- David Czell
- 1 Klinik für Innere Medizin/Neurologie, Spital Linth, Uznach
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36
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Jacobsen AB, Bostock H, Tankisi H. Following disease progression in motor neuron disorders with 3 motor unit number estimation methods. Muscle Nerve 2018; 59:82-87. [DOI: 10.1002/mus.26304] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2018] [Indexed: 02/02/2023]
Affiliation(s)
- Anna Bystrup Jacobsen
- Department of Clinical Neurophysiology; Aarhus University Hospital; Nørrebrogade 44, 8000 Aarhus C Denmark
| | - Hugh Bostock
- Institute of Neurology; University College London; London UK
| | - Hatice Tankisi
- Department of Clinical Neurophysiology; Aarhus University Hospital; Nørrebrogade 44, 8000 Aarhus C Denmark
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37
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Günther R, Neuwirth C, Koch JC, Lingor P, Braun N, Untucht R, Petzold D, Weber M, Hermann A. Motor Unit Number Index (MUNIX) of hand muscles is a disease biomarker for adult spinal muscular atrophy. Clin Neurophysiol 2018; 130:315-319. [PMID: 30528741 DOI: 10.1016/j.clinph.2018.11.009] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 09/25/2018] [Accepted: 11/11/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVE There is still insufficient knowledge about natural history in adult spinal muscular atrophy, thus valid markers for treatment and disease monitoring are urgently needed. METHODS We studied hand muscle innervation pattern of 38 adult genetically confirmed 5q spinal muscular atrophy (SMA) patients by the motor unit number index (MUNIX) method. Data were compared to healthy controls and amyotrophic lateral sclerosis (ALS) patients and systematically correlated to typical disease-relevant scores and other clinical as well as demographic characteristics. RESULTS Denervation of hand muscles in adult SMA was not evenly distributed. By calculation of the MUNIX ratios, we identified a specific hand muscle wasting pattern for SMA which is different to the split hand in ALS. Furthermore, MUNIX parameters strongly correlated with established disease course parameters independent of disease stages. CONCLUSION We found a pathophysiological remarkable denervation pattern of hand muscles, a 'reversed split hand'. MUNIX of single hand muscles correlated well with disease severity and thus represents an easily available biomarker for adult SMA. SIGNIFICANCE Our data show the power of the MUNIX method as a biomarker for upcoming questions in adult SMA.
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Affiliation(s)
- René Günther
- Department of Neurology, Technische Universität Dresden, Dresden, Germany; German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany.
| | - Christoph Neuwirth
- Neuromuscular Disease Unit/ALS Clinic, Kantonspital St. Gallen, St. Gallen, Switzerland.
| | - Jan Christoph Koch
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany.
| | - Paul Lingor
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany; Cluster of Excellence Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Germany.
| | - Nathalie Braun
- Neuromuscular Disease Unit/ALS Clinic, Kantonspital St. Gallen, St. Gallen, Switzerland.
| | - Robert Untucht
- Department of Neurology, Technische Universität Dresden, Dresden, Germany.
| | - Daniel Petzold
- Department of Neurology, Technische Universität Dresden, Dresden, Germany.
| | - Markus Weber
- Neuromuscular Disease Unit/ALS Clinic, Kantonspital St. Gallen, St. Gallen, Switzerland.
| | - Andreas Hermann
- Department of Neurology, Technische Universität Dresden, Dresden, Germany; German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany.
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38
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Taga A, Maragakis NJ. Current and emerging ALS biomarkers: utility and potential in clinical trials. Expert Rev Neurother 2018; 18:871-886. [DOI: 10.1080/14737175.2018.1530987] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Arens Taga
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
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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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Intraspinal Transplantation of the Adipose Tissue-Derived Regenerative Cells in Amyotrophic Lateral Sclerosis in Accordance with the Current Experts' Recommendations: Choosing Optimal Monitoring Tools. Stem Cells Int 2018; 2018:4392017. [PMID: 30158984 PMCID: PMC6109475 DOI: 10.1155/2018/4392017] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 05/26/2018] [Accepted: 06/14/2018] [Indexed: 12/11/2022] Open
Abstract
Stem cells (SCs) may constitute a perspective alternative to pharmacological treatment in neurodegenerative diseases. Although the safety of SC transplantation has been widely shown, their clinical efficiency in amyotrophic lateral sclerosis (ALS) is still to be proved. It is not only due to a limited number of studies, small treatment groups, and fast but nonlinear disease progression but also due to lack of objective methods able to show subtle clinical changes. Preliminary guidelines for cell therapy have recently been proposed by a group of ALS experts. They combine clinical, neurophysiological, and functional assessment together with monitoring of the cytokine level. Here, we describe a pilot study on transplantation of autologous adipose-derived regenerative cells (ADRC) into the spinal cord of the patients with ALS and monitoring of the results in accordance with the current recommendations. To show early and/or subtle changes within the muscles of interest, a wide range of clinical and functional tests were used and compared in order to choose the most sensitive and optimal set. Additionally, an analysis of transplanted ADRC was provided to develop standards ensuring the derivation and verification of adequate quality of transplanted cells and to correlate ADRC properties with clinical outcome.
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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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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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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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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: 28] [Impact Index Per Article: 4.7] [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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The utility of motor unit number estimation methods versus quantitative motor unit potential analysis in diagnosis of ALS. Clin Neurophysiol 2018; 129:646-653. [DOI: 10.1016/j.clinph.2018.01.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 11/30/2017] [Accepted: 01/03/2018] [Indexed: 12/12/2022]
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Escorcio‐Bezerra ML, Abrahao A, Nunes KF, De Oliveira Braga NI, Oliveira ASB, Zinman L, Manzano GM. Motor unit number index and neurophysiological index as candidate biomarkers of presymptomatic motor neuron loss in amyotrophic lateral sclerosis. Muscle Nerve 2018; 58:204-212. [DOI: 10.1002/mus.26087] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 01/23/2018] [Accepted: 01/24/2018] [Indexed: 12/31/2022]
Affiliation(s)
- Marcio Luiz Escorcio‐Bezerra
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
| | - Agessandro Abrahao
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
- Sunnybrook Health Sciences Centre, Division of Neurology, Department of MedicineUniversity of TorontoToronto Ontario Canada
| | - Karlo Faria Nunes
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
| | - Nadia Iandoli De Oliveira Braga
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
| | - Acary Souza Bulle Oliveira
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
| | - Lorne Zinman
- Sunnybrook Health Sciences Centre, Division of Neurology, Department of MedicineUniversity of TorontoToronto Ontario Canada
| | - Gilberto Mastrocola Manzano
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
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Miralles F. Motor unit number index (MUNIX) derivation from the relationship between the area and power of surface electromyogram: a computer simulation and clinical study. J Neural Eng 2018; 15:036013. [PMID: 29424359 DOI: 10.1088/1741-2552/aaae19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The motor unit number index (MUNIX) is a technique based on the surface electromyogram (sEMG) that is gaining acceptance as a method for monitoring motor neuron loss, because it is reliable and produces less discomfort than other electrodiagnostic techniques having the same intended purpose. MUNIX assumes that the relationship between the area of sEMG obtained at increasing levels of muscle activation and the values of a variable called 'ideal case motor unit count' (ICMUC), defined as the product of the ratio between area and power of the compound muscle action potential (CMAP) by that of the sEMG, is described by a decreasing power function. Nevertheless, the reason for this comportment is unknown. The objective of this work is to investigate if the definition of MUNIX could derive from more basic properties of the sEMG. APPROACH The CMAP and sEMG epochs obtained at different levels of muscle activation from (1) the abductor pollicis brevis (APB) muscle of persons with and without a carpal tunnel syndrome (CTS) and (2) from a computer model of sEMG generation previously published were analysed. MAIN RESULTS MUNIX reflects the power relationship existing between the area and power of a sEMG. The exponent of this function was smaller in patients with motor CTS than in the rest of the subjects. The analysis of the relationship between the area and power of a sEMG could aid in distinguishing a MUNIX reduction due to a motoneuron loss from that due to a loss of muscle fibre. SIGNIFICANCE MUNIX is derived from the relationship between the area and power of a sEMG. This relationship changes when there is a loss of motor units (MUs), which partially explains the diagnostic sensibility of MUNIX. Although the reasons for this change are unknown, it could reflect an increase in the proportion of MUs of great amplitude.
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Affiliation(s)
- Francesc Miralles
- Gabinet d'Electrodiagnòstic, Servei de Neurologia, Hospital Universitari Son Espases, Carretera de Valldemossa, 79., 07010 Palma de Mallorca, Illes Balears, Spain
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RNA-Targeted Therapies and Amyotrophic Lateral Sclerosis. Biomedicines 2018; 6:biomedicines6010009. [PMID: 29342921 PMCID: PMC5874666 DOI: 10.3390/biomedicines6010009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 01/07/2018] [Accepted: 01/09/2018] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal motor disease in adults. Its pathophysiology remains mysterious, but tremendous advances have been made with the discovery of the most frequent mutations of its more common familial form linked to the C9ORF72 gene. Although most cases are still considered sporadic, these genetic mutations have revealed the role of RNA production, processing and transport in ALS, and may be important players in all ALS forms. There are no disease-modifying treatments for adult human neurodegenerative diseases, including ALS. As in spinal muscular atrophy, RNA-targeted therapies have been proposed as potential strategies for treating this neurodegenerative disorder. Successes achieved in various animal models of ALS have proven that RNA therapies are both safe and effective. With careful consideration of the applicability of such therapies in humans, it is possible to anticipate ongoing in vivo research and clinical trial development of RNA therapies for treating ALS.
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van Es MA, Hardiman O, Chio A, Al-Chalabi A, Pasterkamp RJ, Veldink JH, van den Berg LH. Amyotrophic lateral sclerosis. Lancet 2017; 390:2084-2098. [PMID: 28552366 DOI: 10.1016/s0140-6736(17)31287-4] [Citation(s) in RCA: 774] [Impact Index Per Article: 110.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 03/13/2017] [Accepted: 03/20/2017] [Indexed: 12/12/2022]
Abstract
Amyotrophic lateral sclerosis is characterised by the progressive loss of motor neurons in the brain and spinal cord. This neurodegenerative syndrome shares pathobiological features with frontotemporal dementia and, indeed, many patients show features of both diseases. Many different genes and pathophysiological processes contribute to the disease, and it will be necessary to understand this heterogeneity to find effective treatments. In this Seminar, we discuss clinical and diagnostic approaches as well as scientific advances in the research fields of genetics, disease modelling, biomarkers, and therapeutic strategies.
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Affiliation(s)
- Michael A van Es
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland; Department of Neurology, Beaumont Hospital, Beaumont, Ireland
| | - Adriano Chio
- Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy; Azienda Ospedaliero Universitaria Citta della Salute e della Scienza di Torino, Turin, Italy; Neuroscience Institute of Turin, Turin, Italy
| | - Ammar Al-Chalabi
- Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK; NIHR Dementia Biomedical Research Unit, King's College London, London, UK
| | - R Jeroen Pasterkamp
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands.
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