51
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Stålberg E, van Dijk H, Falck B, Kimura J, Neuwirth C, Pitt M, Podnar S, Rubin DI, Rutkove S, Sanders DB, Sonoo M, Tankisi H, Zwarts M. Standards for quantification of EMG and neurography. Clin Neurophysiol 2019; 130:1688-1729. [DOI: 10.1016/j.clinph.2019.05.008] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 05/07/2019] [Accepted: 05/09/2019] [Indexed: 12/11/2022]
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52
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Motor unit number index and compound muscle action potential amplitude. Clin Neurophysiol 2019; 130:1734-1740. [DOI: 10.1016/j.clinph.2019.05.031] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 04/05/2019] [Accepted: 05/13/2019] [Indexed: 12/11/2022]
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53
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Bostock H, Jacobsen AB, Tankisi H. Reply to "Motor Unit Number Index (MUNIX) and Compound Muscle Action Potential". Clin Neurophysiol 2019; 130:2012. [PMID: 31409557 DOI: 10.1016/j.clinph.2019.07.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 07/23/2019] [Indexed: 11/17/2022]
Affiliation(s)
- H Bostock
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark; UCL Queen Square Institute of Neurology, Queen Square, London, UK.
| | - A B Jacobsen
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark
| | - H Tankisi
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark
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Sirin NG, Oguz Akarsu E, Kocasoy Orhan E, Erbas B, Artug T, Dede HO, Baslo MB, Idrisoglu HA, Oge AE. Parameters derived from compound muscle action potential scan for discriminating amyotrophic lateral sclerosis‐related denervation. Muscle Nerve 2019; 60:400-408. [DOI: 10.1002/mus.26644] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 07/13/2019] [Accepted: 07/16/2019] [Indexed: 12/11/2022]
Affiliation(s)
- N. Gorkem Sirin
- Department of Neurology, Istanbul Faculty of MedicineIstanbul University Istanbul Turkey
| | - Emel Oguz Akarsu
- Department of Neurology, Istanbul Faculty of MedicineIstanbul University Istanbul Turkey
| | - Elif Kocasoy Orhan
- Department of Neurology, Istanbul Faculty of MedicineIstanbul University Istanbul Turkey
| | - Bahar Erbas
- Department of Neurology, Istanbul Faculty of MedicineIstanbul University Istanbul Turkey
| | - Tugrul Artug
- Electrical and Electronics EngineeringIstanbul Arel University Istanbul Turkey
| | - H. Ozlem Dede
- Department of Neurology, Istanbul Faculty of MedicineIstanbul University Istanbul Turkey
| | - M. Baris Baslo
- Department of Neurology, Istanbul Faculty of MedicineIstanbul University Istanbul Turkey
| | - Halil A. Idrisoglu
- Department of Neurology, Istanbul Faculty of MedicineIstanbul University Istanbul Turkey
| | - A. Emre Oge
- Department of Neurology, Istanbul Faculty of MedicineIstanbul University Istanbul Turkey
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55
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Kristensen R, Bostock H, Tan S, Witt A, Fuglsang-Frederiksen A, Qerama E, Andersen H, Tankisi H. MScanFit motor unit number estimation (MScan) and muscle velocity recovery cycle recordings in amyotrophic lateral sclerosis patients. Clin Neurophysiol 2019; 130:1280-1288. [DOI: 10.1016/j.clinph.2019.04.713] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 03/08/2019] [Accepted: 04/14/2019] [Indexed: 12/13/2022]
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Moldovan M, Vucic S. Is Motor Unit Number Index (MUNIX) an index of Compound Muscle Action Potential amplitude rather than motor unit number? Clin Neurophysiol 2019; 130:1686-1687. [PMID: 31303432 DOI: 10.1016/j.clinph.2019.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 06/29/2019] [Indexed: 12/11/2022]
Affiliation(s)
- Mihai Moldovan
- Faculty of Health and Medical Sciences, Department of Neuroscience, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen, Denmark.
| | - Steve Vucic
- Department of Neurology, Westmead Hospital, Cnr Hawkesbury and Darcy Roads, Westmead, NSW 2145, Australia.
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Verber NS, Shepheard SR, Sassani M, McDonough HE, Moore SA, Alix JJP, Wilkinson ID, Jenkins TM, Shaw PJ. Biomarkers in Motor Neuron Disease: A State of the Art Review. Front Neurol 2019; 10:291. [PMID: 31001186 PMCID: PMC6456669 DOI: 10.3389/fneur.2019.00291] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 03/06/2019] [Indexed: 12/17/2022] Open
Abstract
Motor neuron disease can be viewed as an umbrella term describing a heterogeneous group of conditions, all of which are relentlessly progressive and ultimately fatal. The average life expectancy is 2 years, but with a broad range of months to decades. Biomarker research deepens disease understanding through exploration of pathophysiological mechanisms which, in turn, highlights targets for novel therapies. It also allows differentiation of the disease population into sub-groups, which serves two general purposes: (a) provides clinicians with information to better guide their patients in terms of disease progression, and (b) guides clinical trial design so that an intervention may be shown to be effective if population variation is controlled for. Biomarkers also have the potential to provide monitoring during clinical trials to ensure target engagement. This review highlights biomarkers that have emerged from the fields of systemic measurements including biochemistry (blood, cerebrospinal fluid, and urine analysis); imaging and electrophysiology, and gives examples of how a combinatorial approach may yield the best results. We emphasize the importance of systematic sample collection and analysis, and the need to correlate biomarker findings with detailed phenotype and genotype data.
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Affiliation(s)
- Nick S Verber
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Stephanie R Shepheard
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Matilde Sassani
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Harry E McDonough
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Sophie A Moore
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - James J P Alix
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Iain D Wilkinson
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Tom M Jenkins
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Pamela J Shaw
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
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58
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Abstract
PURPOSE Multiple point stimulation is a well-established motor unit number estimate method that can be used in all EMG machines, but it is time-consuming. We investigated whether a faster modification of multiple point stimulation using five surface motor unit action potentials (sMUAP) had similar reproducibility, sensitivity, and specificity as 10. METHODS Twenty-two motor neuron disease patients and 20 healthy controls were prospectively examined by two physicians twice in the thenar muscles. RESULTS A total of 168 multiple point stimulation motor unit number estimate recordings were obtained. Mean motor unit number estimate was significantly lower in patients in contrast to the controls, whether using 5 (53 ± 55 [1-170] vs. 150 ± 64 (51-325), P < 0.001] or 10 sMUAP [52 ± 51 (1-162) vs. 151 ± 50 (75-274), P < 0.001]. No significant differences (P > 0.05) were found between mean motor unit number estimate obtained from 5 or 10 sMUAP in both patients and controls. Intra-rater coefficient of variation (CV) for patients (17% vs. 15%) and controls (16% vs. 13%) and inter-rater coefficient of variation for patients (25% vs. 24%) did not differ between five and 10 sMUAP (P > 0.05), whereas interrater coefficient of variation was higher for five sMUAP in controls (21% vs. 16%, P = 0.004). An excellent intraclass correlation coefficient (≥0.78) was found, sampling either 5 or 10 sMUAP, for both groups. Receiver operating characteristic curves collecting 5 or 10 sMUAP showed excellent accuracy in distinguishing between patients and controls. CONCLUSIONS The faster modification of Multiple point stimulation by sampling five sMUAP had similar reproducibility, sensitivity, and specificity as 10 and may be suggested in future research and clinical practice.
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59
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Amin Lari A, Ghavanini AA, Bokaee HR. A review of electrophysiological studies of lower motor neuron involvement in amyotrophic lateral sclerosis. Neurol Sci 2019; 40:1125-1136. [PMID: 30877611 DOI: 10.1007/s10072-019-03832-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 03/07/2019] [Indexed: 02/08/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease involving both the upper and lower motor neuron diseases. In this review, we studied and compared different articles regarding the electrodiagnostic criteria for diagnosis of lower motor neuron pathology in ALS. We reviewed the most recent articles and metaanalysis regarding various lower motor neuron electrodiagnostic methods for ALS and their sensitivities. We concluded that Awaji Shima criteria is by far the most sensitive criteria for diagnosis of ALS.
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Affiliation(s)
- Ali Amin Lari
- Canadian Neurologic Center, Mississauga, ON, Canada.
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60
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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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61
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Howells J, Matamala JM, Park SB, Garg N, Vucic S, Bostock H, Burke D, Kiernan MC. In vivo evidence for reduced ion channel expression in motor axons of patients with amyotrophic lateral sclerosis. J Physiol 2018; 596:5379-5396. [PMID: 30175403 DOI: 10.1113/jp276624] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 08/31/2018] [Indexed: 12/11/2022] Open
Abstract
KEY POINTS The progressive loss of motor units in amyotrophic lateral sclerosis (ALS) is initially compensated for by the reinnervation of denervated muscle fibres by surviving motor axons. A disruption in protein homeostasis is thought to play a critical role in the pathogenesis of ALS. The changes in surviving motor neurons were studied by comparing the nerve excitability properties of moderately and severely affected single motor axons from patients with ALS with those from single motor axons in control subjects. A mathematical model indicated that approximately 99% of the differences between the ALS and control units could be explained by a non-selective reduction in the expression of all ion channels. These changes in ALS patients are best explained by a failure in the supply of ion channel and other membrane proteins from the diseased motor neuron. ABSTRACT Amyotrophic lateral sclerosis (ALS) is characterised by a progressive loss of motor units and the reinnervation of denervated muscle fibres by surviving motor axons. This reinnervation preserves muscle function until symptom onset, when some 60-80% of motor units have been lost. We have studied the changes in surviving motor neurons by comparing the nerve excitability properties of 31 single motor axons from patients with ALS with those from 21 single motor axons in control subjects. ALS motor axons were classified as coming from moderately or severely affected muscles according to the compound muscle action potential amplitude of the parent muscle. Compared with control units, thresholds were increased, and there was reduced inward and outward rectification and greater superexcitability following a conditioning impulse. These abnormalities were greater in axons from severely affected muscles, and were correlated with loss of fine motor skills. A mathematical model indicated that 99.1% of the differences between the moderately affected ALS and control units could be explained by a reduction in the expression of all ion channels. For the severely affected units, modelling required, in addition, an increase in the current leak through and under the myelin sheath. This might be expected if the anchoring proteins responsible for the paranodal seal were reduced. We conclude that changes in axonal excitability identified in ALS patients are best explained by a failure in the supply of ion channel and other membrane proteins from the diseased motor neuron, a conclusion consistent with recent animal and in vitro human data.
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Affiliation(s)
- James Howells
- Brain & Mind Centre, University of Sydney, Sydney, Australia
| | | | - Susanna B Park
- Brain & Mind Centre, University of Sydney, Sydney, Australia
| | - Nidhi Garg
- Brain & Mind Centre, University of Sydney, Sydney, Australia.,Institute of Clinical Neurosciences, Royal Prince Alfred Hospital and University of Sydney, Sydney, Australia
| | - Steve Vucic
- Departments of Neurology and Neurophysiology, Westmead Hospital and University of Sydney, Sydney, Australia
| | - Hugh Bostock
- MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,Institute of Neurology, UCL, Queen Square, London, WC1N 3BG, UK
| | - David Burke
- Institute of Clinical Neurosciences, Royal Prince Alfred Hospital and University of Sydney, Sydney, Australia
| | - Matthew C Kiernan
- Brain & Mind Centre, University of Sydney, Sydney, Australia.,Institute of Clinical Neurosciences, Royal Prince Alfred Hospital and University of Sydney, Sydney, Australia
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62
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Li X, Zong Y, Klein CS, Zhou P. Motor unit number estimation of human abductor hallucis from a compound muscle action potential scan. Muscle Nerve 2018; 58:735-737. [PMID: 29981247 DOI: 10.1002/mus.26295] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION This study performed motor unit number estimation (MUNE) of the abductor hallucis (AH) muscle from 16 healthy control participants on the basis of the compound muscle action potential (CMAP) scan. METHODS Muscle responses to electrical stimuli ranging from subthreshold to supramaximal intensity were recorded, and MUNE was determined from a model of the responses (MScanFit program). RESULTS The average CMAP amplitude and MUNE of the AH for the right and left sides combined were 19.6 ± 0.75 mV and 127 ± 5 (mean ± SE), respectively. DISCUSSION Findings of the study provide useful information about the motor unit number of the AH. Muscle Nerve 58: 735-737, 2018.
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Affiliation(s)
- Xiaoyan Li
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, Texas, USA.,TIRR Memorial Hermann Research Center, 1333B Moursund Street, Houston, Texas, 77030, USA
| | - Ya Zong
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, Texas, USA.,TIRR Memorial Hermann Research Center, 1333B Moursund Street, Houston, Texas, 77030, USA.,Guangdong Work Injury Rehabilitation Center, Guangzhou, Guangdong Province, China.,School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Cliff S Klein
- Guangdong Work Injury Rehabilitation Center, Guangzhou, Guangdong Province, China
| | - Ping Zhou
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, Texas, USA.,TIRR Memorial Hermann Research Center, 1333B Moursund Street, Houston, Texas, 77030, USA.,Guangdong Work Injury Rehabilitation Center, Guangzhou, Guangdong Province, China
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63
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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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64
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Higashihara M, Menon P, van den Bos M, Geevasinga N, Vucic S. Reproducibility of motor unit number index and multiple point stimulation motor unit number estimation in controls. Muscle Nerve 2018; 58:660-664. [PMID: 30194855 DOI: 10.1002/mus.26339] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/04/2018] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Reproducibility of the multiple point stimulation motor unit number estimation (MPS-MUNE) technique was compared with the recently developed motor unit number index (MUNIX) technique. METHODS MPS-MUNE and MUNIX were performed on 15 healthy subjects at 3 different time-points by the same examiner. Reproducibility was analyzed using intraclass correlation coefficient (ICC) and coefficient of variation (CV). RESULTS ICC values for MUNIX and MPS-MUNE were excellent across 3 tests (0.80 and 0.77, respectively), although CV values were significantly lower for MUNIX than MPS-MUNE (P < 0.01). In addition, test-retest reproducibility was better for MUNIX, a finding largely attributable to poor reproducibility of the single motor unit action potential area. MUNIX (R = -0.48, P < 0.05) and MPS-MUNE (R = -0.53, P < 0.05) were significantly correlated with age. DISCUSSION MUNIX demonstrated better intrarater reproducibility and may be a more reliable neurophysiological biomarker than MPS-MUNE. Muscle Nerve 58: 660-664, 2018.
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Affiliation(s)
- Mana Higashihara
- Department of Neurology, Westmead Hospital, Sydney, New South Wales, Australia
| | - Parvathi Menon
- Westmead Clinical School, Cnr. Hawkesbury and Darcy Road, University of Sydney, New South Wales, 2145, Australia
| | - Mehdi van den Bos
- Westmead Clinical School, Cnr. Hawkesbury and Darcy Road, University of Sydney, New South Wales, 2145, Australia
| | - Nimeshan Geevasinga
- Westmead Clinical School, Cnr. Hawkesbury and Darcy Road, University of Sydney, New South Wales, 2145, Australia
| | - Steve Vucic
- Westmead Clinical School, Cnr. Hawkesbury and Darcy Road, University of Sydney, New South Wales, 2145, Australia
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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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66
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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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67
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Jacobsen AB, Bostock H, Tankisi H. CMAP Scan MUNE (MScan) - A Novel Motor Unit Number Estimation (MUNE) Method. J Vis Exp 2018. [PMID: 29939177 DOI: 10.3791/56805] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Like other methods for motor unit number estimation (MUNE), compound muscle action potential (CMAP) scan MUNE (MScan) is a non-invasive electrophysiologic method to estimate the number of functioning motor units in a muscle. MUNE is an important tool for the assessment of neuropathies and neuronopathies. Unlike most MUNE methods in use, MScan assesses all the motor units in a muscle, by fitting a model to a detailed stimulus-response curve, or CMAP scan. It thereby avoids the bias inherent in all MUNE methods based on extrapolating from a small sample of units. Like 'Bayesian MUNE,' MScan analysis works by fitting a model, made up of motor units with different amplitudes, thresholds, and threshold variabilities, but the fitting method is quite different, and completed within five minutes, rather than several hours. The MScan off-line analysis works in two stages: first, a preliminary model is generated based on the slope and variance of the points in the scan, and second, this model is then refined by adjusting all the parameters to improve the fit between the original scan and scans generated by the model. This new method has been tested for reproducibility and recording time on 22 amyotrophic lateral sclerosis (ALS) patients and 20 healthy controls, with each test repeated twice by two blinded physicians. MScan showed excellent intra- and inter-rater reproducibility with ICC values of >0.98 and a coefficient of variation averaging 12.3 ± 1.6%. There was no difference in the intra-rater reproducibility between the two observers. Average recording time was 6.27 ± 0.27 min. This protocol describes how to record a CMAP scan and how to use the MScan software to derive an estimate of the number and sizes of the functioning motor units. MScan is a fast, convenient, and reproducible method, which may be helpful in diagnoses and monitoring disease progression in neuromuscular disorders.
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Affiliation(s)
- Anna B Jacobsen
- Department of Clinical Neurophysiology, Aarhus University Hospital
| | | | - Hatice Tankisi
- Department of Clinical Neurophysiology, Aarhus University Hospital;
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68
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Matamala JM, Howells J, Dharmadasa T, Huynh W, Park SB, Burke D, Kiernan MC. Excitability of sensory axons in amyotrophic lateral sclerosis. Clin Neurophysiol 2018; 129:1472-1478. [PMID: 29661595 DOI: 10.1016/j.clinph.2018.03.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 02/22/2018] [Accepted: 03/11/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To evaluate the excitability of sensory axons in patients with amyotrophic lateral sclerosis (ALS). METHODS Comprehensive sensory nerve excitability studies were prospectively performed on 28 sporadic ALS patients, compared to age-matched controls. Sensory nerve action potentials were recorded from digit 2 following median nerve stimulation at the wrist. Disease severity was measured using motor unit number estimation (MUNE), the revised ALS Functional Rating Scale (ALSFRS-R) and the MRC scale. RESULTS There were no significant differences in standard and extended measures of nerve excitability between ALS patients and controls. These unchanged excitability measures included accommodation to long-lasting hyperpolarization and the threshold changes after two supramaximal stimuli during the recovery cycle. Excitability parameters did not correlate with MUNE, ALSFRS-R, APB MRC scale or disease duration. CONCLUSIONS This cross-sectional study has identified normal axonal membrane properties in myelinated sensory axons of ALS patients. Previously described sensory abnormalities could be the result of axonal fallout, possibly due to a ganglionopathy, or to involvement of central sensory pathways rostral to gracile and cuneate nuclei. SIGNIFICANCE These results demonstrate the absence of generalized dysfunction of the membrane properties of sensory axons in ALS in the face of substantial deficits in motor function.
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Affiliation(s)
| | - James Howells
- Brain and Mind Centre, University of Sydney, Sydney, NSW 2050, Australia
| | - Thanuja Dharmadasa
- Brain and Mind Centre, University of Sydney, Sydney, NSW 2050, Australia
| | - William Huynh
- Brain and Mind Centre, University of Sydney, Sydney, NSW 2050, Australia
| | - Susanna B Park
- Brain and Mind Centre, University of Sydney, Sydney, NSW 2050, Australia
| | - David Burke
- Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia; Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Sydney, NSW 2050, Australia; Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia; Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
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69
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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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70
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Benmouna K, Milants C, Wang FC. Correlations between MUNIX and adapted multiple point stimulation MUNE methods. Clin Neurophysiol 2018; 129:341-344. [DOI: 10.1016/j.clinph.2017.11.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 10/12/2017] [Accepted: 11/06/2017] [Indexed: 12/13/2022]
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Garg N, Howells J, Yiannikas C, Vucic S, Krishnan AV, Spies J, Bostock H, Mathey EK, Pollard JD, Park SB, Kiernan MC. Motor unit remodelling in multifocal motor neuropathy: The importance of axonal loss. Clin Neurophysiol 2017; 128:2022-2028. [DOI: 10.1016/j.clinph.2017.07.414] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 06/27/2017] [Accepted: 07/18/2017] [Indexed: 12/13/2022]
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Jones KE. Motor unit number estimation (MUNE): An important – though imperfect – measure receives some needed scholarship. Clin Neurophysiol 2017; 128:1365-1366. [DOI: 10.1016/j.clinph.2017.04.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 04/29/2017] [Indexed: 10/19/2022]
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