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Fujii Y, Okura M, Kashiwai Y, Taniguchi M, Ohi M. [A case of propriospinal myoclonus at sleep onset in which video-polysomnography with additional surface electromyogram was useful for diagnosis]. Rinsho Shinkeigaku 2024:cn-001951. [PMID: 39428514 DOI: 10.5692/clinicalneurol.cn-001951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
Propriospinal myoclonus at sleep onset (PSM-S) is a sudden myoclonic jerk that occurs during the transition from wakefulness to sleep. It is a sleep-related movement disorder that causes difficulty falling asleep due to involuntary movements that spread caudally and rostrally through the propriospinal tract. Diagnosis requires observation of movements and polysomnography (PSG), and there are few reports. An 80-year-old man was referred to our center for insomnia due to abdominal movements at sleep onset. During the EEG test, we observed the caudal and rostral propagation of movements emanating from the abdomen. Attended video-PSG with additional surface electromyography revealed that myoclonic jerks occurred during the transition from wake to stage N1 and disappeared during sleep stage N2. EMG activity originated from the rectus abdominis muscle, followed by rostral and caudal propagation. Here, we report a case demonstrating that PSG with additional surface electromyography is important and useful for the diagnosis of PMS at sleep onset.
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Affiliation(s)
- Yoko Fujii
- Sleep Medical Center, Osaka Kaisei Hospital
| | - Mutsumi Okura
- Sleep Medical Center, Osaka Kaisei Hospital
- Department of Internal Medicine, Division of General Medicine, Asahi University School of Dentistry
- Center for Sleep Medicine, Asahi University Hospital
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Latorre A, Rocchi L, Paparella G, Manzo N, Bhatia KP, Rothwell JC. Changes in cerebellar output abnormally modulate cortical myoclonus sensorimotor hyperexcitability. Brain 2024; 147:1412-1422. [PMID: 37956080 PMCID: PMC10994547 DOI: 10.1093/brain/awad384] [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: 03/20/2023] [Revised: 10/07/2023] [Accepted: 11/02/2023] [Indexed: 11/15/2023] Open
Abstract
Cortical myoclonus is produced by abnormal neuronal discharges within the sensorimotor cortex, as demonstrated by electrophysiology. Our hypothesis is that the loss of cerebellar inhibitory control over the motor cortex, via cerebello-thalamo-cortical connections, could induce the increased sensorimotor cortical excitability that eventually causes cortical myoclonus. To explore this hypothesis, in the present study we applied anodal transcranial direct current stimulation over the cerebellum of patients affected by cortical myoclonus and healthy controls and assessed its effect on sensorimotor cortex excitability. We expected that anodal cerebellar transcranial direct current stimulation would increase the inhibitory cerebellar drive to the motor cortex and therefore reduce the sensorimotor cortex hyperexcitability observed in cortical myoclonus. Ten patients affected by cortical myoclonus of various aetiology and 10 aged-matched healthy control subjects were included in the study. All participants underwent somatosensory evoked potentials, long-latency reflexes and short-interval intracortical inhibition recording at baseline and immediately after 20 min session of cerebellar anodal transcranial direct current stimulation. In patients, myoclonus was recorded by the means of surface EMG before and after the cerebellar stimulation. Anodal cerebellar transcranial direct current stimulation did not change the above variables in healthy controls, while it significantly increased the amplitude of somatosensory evoked potential cortical components, long-latency reflexes and decreased short-interval intracortical inhibition in patients; alongside, a trend towards worsening of the myoclonus after the cerebellar stimulation was observed. Interestingly, when dividing patients in those with and without giant somatosensory evoked potentials, the increment of the somatosensory evoked potential cortical components was observed mainly in those with giant potentials. Our data showed that anodal cerebellar transcranial direct current stimulation facilitates-and does not inhibit-sensorimotor cortex excitability in cortical myoclonus syndromes. This paradoxical response might be due to an abnormal homeostatic plasticity within the sensorimotor cortex, driven by dysfunctional cerebello-thalamo-cortical input to the motor cortex. We suggest that the cerebellum is implicated in the pathophysiology of cortical myoclonus and that these results could open the way to new forms of treatment or treatment targets.
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Affiliation(s)
- Anna Latorre
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Lorenzo Rocchi
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari 09042, Italy
| | - Giulia Paparella
- Department of Neurology, IRCCS Neuromed, Pozzilli, IS 86077, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome 00185, Italy
| | - Nicoletta Manzo
- Department of Neurology, IRCCS San Camillo Hospital, Venice 30126, Italy
| | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - John C Rothwell
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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Riva A, D'Onofrio G, Ferlazzo E, Pascarella A, Pasini E, Franceschetti S, Panzica F, Canafoglia L, Vignoli A, Coppola A, Badioni V, Beccaria F, Labate A, Gambardella A, Romeo A, Capovilla G, Michelucci R, Striano P, Belcastro V. Myoclonus: Differential diagnosis and current management. Epilepsia Open 2024; 9:486-500. [PMID: 38334331 PMCID: PMC10984309 DOI: 10.1002/epi4.12917] [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: 10/24/2023] [Revised: 01/28/2024] [Accepted: 01/30/2024] [Indexed: 02/10/2024] Open
Abstract
Myoclonus classically presents as a brief (10-50 ms duration), non-rhythmic jerk movement. The etiology could vary considerably ranging from self-limited to chronic or even progressive disorders, the latter falling into encephalopathic pictures that need a prompt diagnosis. Beyond the etiological classification, others evaluate myoclonus' body distribution (i.e., clinical classification) or the location of the generator (i.e., neurophysiological classification); particularly, knowing the anatomical source of myoclonus gives inputs on the observable clinical patterns, such as EMG bursts duration or EEG correlate, and guides the therapeutic choices. Among all the chronic disorders, myoclonus often presents itself as a manifestation of epilepsy. In this context, myoclonus has many facets. Myoclonus occurs as one, or the only, seizure manifestation while it can also present as a peculiar type of movement disorder; moreover, its electroclinical features within specific genetically determined epileptic syndromes have seldom been investigated. In this review, following a meeting of recognized experts, we provide an up-to-date overview of the neurophysiology and nosology surrounding myoclonus. Through the dedicated exploration of epileptic syndromes, coupled with pragmatic guidance, we aim to furnish clinicians and researchers alike with practical advice for heightened diagnostic management and refined treatment strategies. PLAIN LANGUAGE SUMMARY: In this work, we described myoclonus, a movement characterized by brief, shock-like jerks. Myoclonus could be present in different diseases and its correct diagnosis helps treatment.
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Affiliation(s)
- Antonella Riva
- Department of Neurosciences Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI)University of GenoaGenoaItaly
- Pediatric Neurology and Muscular Diseases UnitIRCCS Istituto “Giannina Gaslini”GenoaItaly
| | - Gianluca D'Onofrio
- Department of Neurosciences Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI)University of GenoaGenoaItaly
- Pediatric Neurology and Muscular Diseases UnitIRCCS Istituto “Giannina Gaslini”GenoaItaly
| | - Edoardo Ferlazzo
- Department of Medical and Surgical SciencesMagna Græcia University of CatanzaroCatanzaroItaly
- Regional Epilepsy CentreGreat Metropolitan “Bianchi‐Melacrino‐Morelli Hospital”Reggio CalabriaItaly
| | - Angelo Pascarella
- Department of Medical and Surgical SciencesMagna Græcia University of CatanzaroCatanzaroItaly
- Regional Epilepsy CentreGreat Metropolitan “Bianchi‐Melacrino‐Morelli Hospital”Reggio CalabriaItaly
| | - Elena Pasini
- IRCCS‐Istituto delle Scienze Neurologiche di Bologna, Unit of NeurologyBellaria HospitalBolognaItaly
| | - Silvana Franceschetti
- Department of Diagnostics and TechnologyFondazione IRCCS Istituto Neurologio Carlo BestaMilanItaly
| | - Ferruccio Panzica
- Department of Diagnostics and TechnologyFondazione IRCCS Istituto Neurologio Carlo BestaMilanItaly
| | - Laura Canafoglia
- Department of Diagnostics and TechnologyFondazione IRCCS Istituto Neurologio Carlo BestaMilanItaly
| | - Aglaia Vignoli
- Childhood and Adolescence Neurology and Psychiatry Unit, ASST GOM Niguarda, Health Sciences DepartmentUniversità degli Studi di MilanoMilanoItaly
| | - Antonietta Coppola
- Department of Neuroscience, Odontostomatology and Reproductive SciencesFederico II University of NaplesNaplesItaly
| | | | | | - Angelo Labate
- Neurophysiology and Movement Disorders UnitUniversity of MessinaMessinaItaly
| | - Antonio Gambardella
- Department of Medical and Surgical SciencesMagna Græcia University of CatanzaroCatanzaroItaly
| | - Antonino Romeo
- Pediatric Neurology Unit and Epilepsy Center, Department of Neuroscience“Fatebenefratelli e Oftalmico" HospitalMilanoItaly
| | | | - Roberto Michelucci
- IRCCS‐Istituto delle Scienze Neurologiche di Bologna, Unit of NeurologyBellaria HospitalBolognaItaly
| | - Pasquale Striano
- Department of Neurosciences Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI)University of GenoaGenoaItaly
- Pediatric Neurology and Muscular Diseases UnitIRCCS Istituto “Giannina Gaslini”GenoaItaly
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Pollini L, van der Veen S, Elting JWJ, Tijssen MAJ. Negative Myoclonus: Neurophysiological Study and Clinical Impact in Progressive Myoclonus Ataxia. Mov Disord 2024; 39:674-683. [PMID: 38385661 DOI: 10.1002/mds.29741] [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: 09/23/2023] [Revised: 01/13/2024] [Accepted: 01/25/2024] [Indexed: 02/23/2024] Open
Abstract
INTRODUCTION Negative myoclonus (NM) is an involuntary movement caused by a sudden interruption of muscular activity, resulting in gait problems and falls. OBJECTIVE To establish frequency, clinical impact, and neurophysiology of NM in progressive myoclonus ataxia (PMA) patients. METHODS Clinical, neurophysiological, and genetic data of 14 PMA individuals from University Medical Centre Groningen (UMCG) Expertise Center Movement Disorder Groningen were retrospectively collected. Neurophysiological examination included video-electromyography-accelerometry assessment in all patients and electroencephalography (EEG) examination in 13 individuals. Jerk-locked (or silent period-locked) back-averaging and cortico-muscular coherence (CMC) analysis aided the classification of myoclonus. RESULTS NM was present in 6 (NM+) and absent in 8 (NM-) PMA patients. NM+ individuals have more frequent falls (100% vs. 37.5%) and higher scores on the Gross Motor Function Classification System (GMFCS) (4.3 ±0.74 vs. 2.5 ±1.2) than NM- individuals. Genetic background of NM+ included GOSR2 and SEMA6B, while that of NM- included ATM, KCNC3, NUS1, STPBN2, and GOSR2. NM was frequently preceded by positive myoclonus (PM) and silent-period length was between 88 and 194 ms. EEG epileptiform discharges were associated with NM in 2 cases. PM was classified as cortical in 5 NM+ and 2 NM- through EEG inspection, jerk-locked back-averaging, or CMC analysis. DISCUSSION Neurophysiological examination is crucial for detecting NM that could be missed on clinical examination due to a preceding PM. Evidence points to a cortical origin of NM, an association with more severe motor phenotype, and suggests the presence of genetic disorders causing either a PMA or progressive myoclonus epilepsy, rather than pure PMA phenotype. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Luca Pollini
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
- Department of Neurology, University of Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
- Expertise Centre Movement Disorders Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
| | - Sterre van der Veen
- Department of Neurology, University of Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
- Expertise Centre Movement Disorders Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
| | - Jan Willem J Elting
- Department of Neurology, University of Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
- Expertise Centre Movement Disorders Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
- Department of Clinical Neurophysiology, University of Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
| | - Marina A J Tijssen
- Department of Neurology, University of Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
- Expertise Centre Movement Disorders Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
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De Napoli G, Rossi J, Cavallieri F, Pugnaghi M, Rizzi R, Russo M, Assenza F, Di Rauso G, Valzania F. Recurrent Falls as the Only Clinical Sign of Cortical-Subcortical Myoclonus: A Case Report. NEUROSCI 2024; 5:1-7. [PMID: 39483808 PMCID: PMC11523692 DOI: 10.3390/neurosci5010001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/24/2023] [Accepted: 12/25/2023] [Indexed: 11/03/2024] Open
Abstract
Some authors use the term cortical-subcortical myoclonus to identify a specific type of myoclonus, which differs from classical cortical myoclonus in that the abnormal neuronal activity spreads between the cortical and subcortical circuits, producing diffuse excitation. The EEG shows generalized spike-and-wave discharges that correlate with the myoclonic jerks. We report the case of a 79-year-old patient with a history of right thalamic deep hemorrhagic stroke, with favorable evolution. Fifteen years later, he was readmitted to the emergency department for episodes characterized by sudden falls without loss of consciousness. An EEG with EMG recording channel on the right deltoid muscle was performed, which documented frequent diffuse spike-wave and polyspike-wave discharges, temporally related to myoclonic jerks in the lower limbs. Brain MRI showed the persistence of a small right thalamic hemosiderin residue at the site of the previous hemorrhage. Antiseizure treatment with levetiracetam was started, with rapid clinical and electroencephalographic improvement. Our case may represent a lesion model of generalized epilepsy with myoclonic seizures. Furthermore, it highlights that lower limb myoclonus of cortical-subcortical origin may be an underestimate cause of gait disturbances and postural instability. Then, it may be reasonable to include the EEG in the diagnostic work-up of patients with recurrent falls.
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Affiliation(s)
- Giulia De Napoli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy;
- Neurology Unit, OCB, Azienda Ospedaliero-Universitaria di Modena, 41126 Modena, Italy;
| | - Jessica Rossi
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (F.C.); (F.V.)
| | - Francesco Cavallieri
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (F.C.); (F.V.)
| | - Matteo Pugnaghi
- Neurology Unit, OCB, Azienda Ospedaliero-Universitaria di Modena, 41126 Modena, Italy;
| | - Romana Rizzi
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (F.C.); (F.V.)
| | - Marco Russo
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (F.C.); (F.V.)
| | - Federica Assenza
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (F.C.); (F.V.)
| | - Giulia Di Rauso
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (F.C.); (F.V.)
| | - Franco Valzania
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (F.C.); (F.V.)
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Latorre A, Belvisi D, Rothwell JC, Bhatia KP, Rocchi L. Rethinking the neurophysiological concept of cortical myoclonus. Clin Neurophysiol 2023; 156:125-139. [PMID: 37948946 DOI: 10.1016/j.clinph.2023.10.007] [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: 01/28/2023] [Revised: 09/04/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023]
Abstract
Cortical myoclonus is thought to result from abnormal electrical discharges arising in the sensorimotor cortex. Given the ease of recording of cortical discharges, electrophysiological features of cortical myoclonus have been better characterized than those of subcortical forms, and electrophysiological criteria for cortical myoclonus have been proposed. These include the presence of giant somatosensory evoked potentials, enhanced long-latency reflexes, electroencephalographic discharges time-locked to individual myoclonic jerks and significant cortico-muscular connectivity. Other features that are assumed to support the cortical origin of myoclonus are short-duration electromyographic bursts, the presence of both positive and negative myoclonus and cranial-caudal progression of the jerks. While these criteria are widely used in clinical practice and research settings, their application can be difficult in practice and, as a result, they are fulfilled only by a minority of patients. In this review we reappraise the evidence that led to the definition of the electrophysiological criteria of cortical myoclonus, highlighting possible methodological incongruencies and misconceptions. We believe that, at present, the diagnostic accuracy of cortical myoclonus can be increased only by combining observations from multiple tests, according to their pathophysiological rationale; nevertheless, larger studies are needed to standardise the methods, to resolve methodological issues, to establish the diagnostic criteria sensitivity and specificity and to develop further methods that might be useful to clarify the pathophysiology of myoclonus.
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Affiliation(s)
- Anna Latorre
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology University College London, London, United Kingdom.
| | - Daniele Belvisi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, Italy
| | - John C Rothwell
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology University College London, London, United Kingdom
| | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology University College London, London, United Kingdom
| | - Lorenzo Rocchi
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology University College London, London, United Kingdom; Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Sinokki A, Säisänen L, Hyppönen J, Silvennoinen K, Kälviäinen R, Mervaala E, Karjalainen PA, Rissanen SM. Detecting negative myoclonus during long-term home measurements using wearables. Clin Neurophysiol 2023; 156:166-174. [PMID: 37952446 DOI: 10.1016/j.clinph.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 08/22/2023] [Accepted: 10/17/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVE The aim of this study was to develop a feasible method for the detection of negative myoclonus (NM) through long-term home measurements in patients with progressive myoclonus epilepsy type 1. METHODS The number and duration of silent periods (SP) associated with NM were detected during a 48 h home recording using wearable surface electromyography (EMG) sensors. RESULTS A newly developed algorithm was able to find short (50-69 ms), intermediate (70-100 ms), and long (101- 500 ms) SPs from EMG data. Negative myoclonus assessed by the algorithm correlated significantly with the video-recorded and physician-evaluated unified myoclonus rating scale (UMRS) scores of NM and action myoclonus. Silent period duration, number, and their combination, correlated strongly and significantly also with the Singer score, which assesses functional status and ambulation. CONCLUSIONS Negative myoclonus can be determined objectively using long-term EMG measurements in home environment. With long-term measurements, we can acquire more reliable quantified information about NM as a symptom, compared to short evaluation at the clinic. SIGNIFICANCE As measured using SPs, NM may be a clinically useful measure for monitoring disease progression or assessing antimyoclonic drug effects objectively.
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Affiliation(s)
- Aku Sinokki
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
| | - Laura Säisänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Kuopio Epilepsy Center, Department of Clinical Neurophysiology, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland
| | - Jelena Hyppönen
- Kuopio Epilepsy Center, Department of Clinical Neurophysiology, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Katri Silvennoinen
- Kuopio Epilepsy Center, Neurocenter, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Reetta Kälviäinen
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; Kuopio Epilepsy Center, Neurocenter, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland
| | - Esa Mervaala
- Kuopio Epilepsy Center, Department of Clinical Neurophysiology, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Pasi A Karjalainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - Saara M Rissanen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Adamant Health Ltd, Kuopio, Finland
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Grippe T, Chen R. Utility of Neurophysiological Evaluation in Movement Disorders Clinical Practice. Mov Disord Clin Pract 2023; 10:1599-1610. [PMID: 38026509 PMCID: PMC10654828 DOI: 10.1002/mdc3.13856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 07/13/2023] [Accepted: 07/19/2023] [Indexed: 12/01/2023] Open
Abstract
Background Quantitative and objective neurophysiological assessment can help to define the predominant phenomenology and provide diagnoses that have prognostic and therapeutic implications for movement disorders. Objectives Evaluate the agreement between initial indications and final diagnoses after neurophysiological evaluations in a specialized movement disorders center. Methods Electrophysiological studies conducted for movement disorders from 2003 to 2021 were reviewed. The indications were classified according to predominant phenomenology and the diagnoses categorized in subgroups of phenomenology. Results A total of 509 studies were analyzed. 51% (259) of patients were female, with a mean age of 51 years (ranges 5 to 89 years). The most common reasons for referral were evaluation of functional movement disorders (FMD), followed by jerky movements, tremor and postural instability. Regarding FMD referrals, there was a diagnostic change in 13% of the patients after electrophysiological assessment. The patients with jerky movements as indication had a diagnosis other than myoclonus in 27% of them, and tremor was not confirmed in 20% of the cases. In patients with an electrophysiological diagnosis of FMD, it was not suspected in 30% of the referrals. Similarly, tremor was not mentioned in the referral of 17% of the patients with this electrophysiological diagnosis and myoclonus was not suspected in 13% of the cases. Conclusions Electrophysiological assessment has utility in the evaluation of movement disorders, even in patients evaluated by movement disorders neurologists. More studies are needed to standardize the protocols between centers and to promote the availability and use of these techniques among movement disorders clinics.
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Affiliation(s)
- Talyta Grippe
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHNTorontoOntarioCanada
- Division of NeurologyUniversity of TorontoTorontoOntarioCanada
- Neuroscience Graduate ProgramFederal University of Minas GeraisBelo HorizonteBrazil
| | - Robert Chen
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHNTorontoOntarioCanada
- Neuroscience Graduate ProgramFederal University of Minas GeraisBelo HorizonteBrazil
- Krembil Brain InstituteTorontoOntarioCanada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA)TorontoOntarioCanada
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Alipour M, Abdi N, Zaj P, Mashhadi L. Efficacy of Granisetron versus Sufentanil on Reducing Myoclonic Movements Following Etomidate: Double-blind, randomised clinical trial. Sultan Qaboos Univ Med J 2023; 23:380-386. [PMID: 37655076 PMCID: PMC10467562 DOI: 10.18295/squmj.1.2023.009] [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: 12/15/2022] [Revised: 01/20/2023] [Accepted: 02/05/2023] [Indexed: 02/24/2023] Open
Abstract
Objectives This study aimed to reduce the intensity of myoclonus movements by comparing the effectiveness of granisetron and sufentanil in reducing the intensity of etomidate-induced myoclonic movements. Etomidate-induced myoclonus occurs in up to 85% of patients under general anaesthesia. This type of myoclonus can induce significant clinical and economic problems in patients with special conditions. Methods This double-blind randomised clinical trial study consisted of 96 adult patients recruited between January and July 2021 from Mashhad University of Medical Sciences, Mashhad, Iran. Using block randomisation, subjects were divided into three groups of 32 patients: the group receiving granisetron 40 μg/kg (group G), the group receiving sufentanil 0.2 μg/kg (group S) and the control group who did not receive the pretreatment (group C). Patients received these medications as pretreatments 120 seconds before induction with etomidate. After the injection of etomidate with a dose of 0.3 mg/kg, the incidence of myoclonus was evaluated. After evaluating the myoclonus, the full dose of narcotics (fentanyl 1 μg/kg) and muscle relaxants (atracurium 0.5 mg/kg) were administered to patients and a suitable airway was established for them. Results The findings indicated that granisetron reduced the intensity and incidence of myoclonic movements more than sufentanil. In addition, myoclonic movements were observed at a significantly higher intensity in the control group (P = 0.001). Conclusion The results obtained from the current study indicate that granisetron and sufentanil as pretreatments are effective for reducing myoclonus in patients.
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Affiliation(s)
- Mohammad Alipour
- Department of Anesthesiology, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Naeem Abdi
- Student Research Committee, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Parisa Zaj
- Department of Anesthesiology, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Leila Mashhadi
- Department of Anesthesiology, Mashhad University of Medical Sciences, Mashhad, Iran
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Dubbioso R, Suppa A, Tijssen MAJ, Ikeda A. Familial adult myoclonus epilepsy: Neurophysiological investigations. Epilepsia 2023. [PMID: 36806000 DOI: 10.1111/epi.17553] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/20/2023]
Abstract
Familial adult myoclonus epilepsy (FAME) also described as benign adult familial myoclonus epilepsy (BAFME) is a high-penetrant autosomal dominant condition featuring cortical myoclonus of varying frequency and occasional/rare convulsive seizures. In this update we provide a detailed overview of the main neurophysiological findings so far reported in patients with FAME/BAFME. After reviewing the diagnostic contribution of each neurophysiological technique, we discuss the possible mechanisms underlying cortical hyperexcitability and suggest the involvement of more complex circuits engaging cortical and subcortical structures, such as the cerebellum. We, thus, propose that FAME/BAFME clinical features should arise from an "abnormal neuronal network activity," where the cerebellum represents a possible common denominator. In the last part of the article, we suggest that future neurophysiological studies using more advanced transcranial magnetic stimulation (TMS) protocols could be used to evaluate the functional connectivity between the cerebellum and cortical structures. Finally, non-invasive brain stimulation techniques such as repetitive TMS or transcranial direct current stimulation could be assessed as potential therapeutic tools to ameliorate cortical excitability.
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Affiliation(s)
- Raffaele Dubbioso
- Department of Neuroscience, Reproductive Sciences and Odontostomatology, Federico II University of Naples, Napoli, Italy
| | - Antonio Suppa
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.,IRCCS Neuromed, Pozzilli, Italy
| | - Marina A J Tijssen
- Department of Neurology, University of Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands.,Expertise Centre Movement Disorders Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands
| | - Akio Ikeda
- Department of Epilepsy, Movement Disorders and Physiology Kyoto University Graduate School of Medicine Shogoin, Kyoto, Japan
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11
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Meritam Larsen P, Wüstenhagen S, Terney D, Gardella E, Aurlien H, Beniczky S. Duration of epileptic seizure types: A data-driven approach. Epilepsia 2023; 64:469-478. [PMID: 36597206 PMCID: PMC10107943 DOI: 10.1111/epi.17492] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/13/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To determine the duration of epileptic seizure types in patients who did not undergo withdrawal of antiseizure medication. METHODS From a large, structured database of 11 919 consecutive, routine video-electroencephalograpy (EEG) recordings, labeled using the SCORE (Standardized Computer-Based Organized Reporting of EEG) system, we extracted and analyzed 2742 seizures. For each seizure type we determined median duration and range after removal of outliers (2.5-97.5 percentile). We used surface electromyography (EMG) for accurate measurement of short motor seizures. RESULTS Myoclonic seizures last <150 ms, epileptic spasms 0.4-2 s, tonic seizures 1.5-36 s, atonic seizures 0.1-12,5 s, when measured using surface EMG. Generalized clonic seizures last 1-24 s. Typical absence seizures are rarely longer than 30 s (2.75-26.5 s) and atypical absences last 2-100 s. In our patients, the duration of focal aware (median: 27 s; 1.25-166 s) and impaired awareness seizures (median: 42.5 s; 9.5-271 s) was shorter than reported previously in patients undergoing withdrawal of antiseizure medication. All focal seizures terminated within 10 min. Median duration of generalized tonic-clonic seizures was 79.5 s (57-102 s) and of focal-to-bilateral tonic-clonic seizures was 103.5 (77.5-237 s). All tonic-clonic seizures terminated within 5 min. SIGNIFICANCE This comprehensive list of seizure durations provides important information for characterizing seizures and diagnosing patients with epilepsy. The upper limits of seizure durations are helpful in early recognition of imminent status epilepticus.
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Affiliation(s)
- Pirgit Meritam Larsen
- Department of Clinical Neurophysiology, Danish Epilepsy Centre Filadelfia, Dianalund, Denmark
| | - Stephan Wüstenhagen
- Department of Clinical Neurophysiology, Danish Epilepsy Centre Filadelfia, Dianalund, Denmark
| | - Daniella Terney
- Department of Clinical Neurophysiology, Danish Epilepsy Centre Filadelfia, Dianalund, Denmark
| | - Elena Gardella
- Department of Clinical Neurophysiology, Danish Epilepsy Centre Filadelfia, Dianalund, Denmark
- University of Southern Denmark, Dianalund, Denmark
| | - Harald Aurlien
- Department of Clinical Neurophysiology, Haukeland University Hospital and Holberg EEG AS, Bergen, Norway
| | - Sándor Beniczky
- Department of Clinical Neurophysiology, Danish Epilepsy Centre Filadelfia, Dianalund, Denmark
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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12
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Vial F, Merchant SHI, McGurrin P, Hallett M. How to Do an Electrophysiological Study of Myoclonus. J Clin Neurophysiol 2023; 40:93-99. [PMID: 36735457 PMCID: PMC9898630 DOI: 10.1097/wnp.0000000000000885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
SUMMARY Diagnosing and characterizing myoclonus can be challenging. Many authors agree on the need to complement the clinical findings with an electrophysiological study to characterize the movements. Besides helping to rule out other movements that may look like myoclonus, electrophysiology can help localize the source of the movement. This article aims to serve as a practical manual on how to do a myoclonus study. For this purpose, the authors combine their experience with available evidence. The authors provide detailed descriptions of recording poly-electromyography, combining electroencephalography and electromyography, Bereitschaftspotentials, somatosensory evoked potentials, and startle techniques. The authors discuss analysis considerations for these data and provide a simplified algorithm for their interpretation. Finally, the authors discuss some factors that they believe have hindered the broader use of these useful techniques.
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Affiliation(s)
- Felipe Vial
- Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | | | - Patrick McGurrin
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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13
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Neurophysiological and Clinical Correlates of Acute Posthypoxic Myoclonus. J Clin Neurophysiol 2023; 40:117-122. [PMID: 36521068 DOI: 10.1097/wnp.0000000000000937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
SUMMARY Prognostication following cardiorespiratory arrest relies on the neurological examination, which is supported by neuroimaging and neurophysiological testing. Acute posthypoxic myoclonus (PHM) is a clinical entity that has prognostic significance and historically has been considered an indicator of poor outcome, but this is not invariably the case. "Malignant" and more "benign" forms of acute PHM have been described and differentiating them is key in understanding their meaning in prognosis. Neurophysiological tests, electroencephalogram in particular, and clinical phenotyping are crucial in defining subtypes of acute PHM. This review describes the neurophysiological and phenotypic markers of malignant and benign forms of acute PHM, a clinical approach to evaluating acute PHM following cardiorespiratory arrest in determining prognosis, and gaps in our understanding of acute PHM that require further study.
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14
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Abstract
Mitochondrial dysfunction, especially perturbation of oxidative phosphorylation and adenosine triphosphate (ATP) generation, disrupts cellular homeostasis and is a surprisingly frequent cause of central and peripheral nervous system pathology. Mitochondrial disease is an umbrella term that encompasses a host of clinical syndromes and features caused by in excess of 300 different genetic defects affecting the mitochondrial and nuclear genomes. Patients with mitochondrial disease can present at any age, ranging from neonatal onset to late adult life, with variable organ involvement and neurological manifestations including neurodevelopmental delay, seizures, stroke-like episodes, movement disorders, optic neuropathy, myopathy, and neuropathy. Until relatively recently, analysis of skeletal muscle biopsy was the focus of diagnostic algorithms, but step-changes in the scope and availability of next-generation sequencing technology and multiomics analysis have revolutionized mitochondrial disease diagnosis. Currently, there is no specific therapy for most types of mitochondrial disease, although clinical trials research in the field is gathering momentum. In that context, active management of epilepsy, stroke-like episodes, dystonia, brainstem dysfunction, and Parkinsonism are all the more important in improving patient quality of life and reducing mortality.
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Affiliation(s)
- Yi Shiau Ng
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
| | - Robert McFarland
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
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15
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Chen R, Berardelli A, Bhattacharya A, Bologna M, Chen KHS, Fasano A, Helmich RC, Hutchison WD, Kamble N, Kühn AA, Macerollo A, Neumann WJ, Pal PK, Paparella G, Suppa A, Udupa K. Clinical neurophysiology of Parkinson's disease and parkinsonism. Clin Neurophysiol Pract 2022; 7:201-227. [PMID: 35899019 PMCID: PMC9309229 DOI: 10.1016/j.cnp.2022.06.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 06/11/2022] [Accepted: 06/22/2022] [Indexed: 01/01/2023] Open
Abstract
This review is part of the series on the clinical neurophysiology of movement disorders and focuses on Parkinson’s disease and parkinsonism. The pathophysiology of cardinal parkinsonian motor symptoms and myoclonus are reviewed. The recordings from microelectrode and deep brain stimulation electrodes are reported in detail.
This review is part of the series on the clinical neurophysiology of movement disorders. It focuses on Parkinson’s disease and parkinsonism. The topics covered include the pathophysiology of tremor, rigidity and bradykinesia, balance and gait disturbance and myoclonus in Parkinson’s disease. The use of electroencephalography, electromyography, long latency reflexes, cutaneous silent period, studies of cortical excitability with single and paired transcranial magnetic stimulation, studies of plasticity, intraoperative microelectrode recordings and recording of local field potentials from deep brain stimulation, and electrocorticography are also reviewed. In addition to advancing knowledge of pathophysiology, neurophysiological studies can be useful in refining the diagnosis, localization of surgical targets, and help to develop novel therapies for Parkinson’s disease.
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Affiliation(s)
- Robert Chen
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Amitabh Bhattacharya
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Matteo Bologna
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Kai-Hsiang Stanley Chen
- Department of Neurology, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan
| | - Alfonso Fasano
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Rick C Helmich
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology and Centre of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands
| | - William D Hutchison
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Departments of Surgery and Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Nitish Kamble
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Andrea A Kühn
- Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Germany
| | - Antonella Macerollo
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom.,The Walton Centre NHS Foundation Trust for Neurology and Neurosurgery, Liverpool, United Kingdom
| | - Wolf-Julian Neumann
- Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Germany
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | | | - Antonio Suppa
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Kaviraja Udupa
- Department of Neurophysiology National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
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16
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Çetinkaya Tezer D, Tutuncu M, Akalin MA, Uzun N, Karaali Savrun F, E Kiziltan M, Gunduz A. Myoclonus and tremor in chronic inflammatory demyelinating polyneuropathy: a multichannel electromyography analysis. Acta Neurol Belg 2022; 122:1289-1296. [PMID: 35750953 DOI: 10.1007/s13760-022-01992-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 05/25/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND Information regarding involuntary movements in chronic inflammatory polyneuropathy (CIDP) is gradually increasing. Our goal is to identify the types of involuntary movements in CIDP. METHODS All patients who were followed with the diagnosis of CIDP were invited for clinical and electrophysiological evaluations. Demographic and clinical findings (age, gender, duration of illness, diagnosis, treatments) were noted. Clinical examination and multichannel surface electromyography were done. We also performed routine upper and lower extremity peripheral nerve conduction studies, F-waves, long latency reflexes, blink reflex, mixed nerve silent period and cutaneous silent period in all patients. RESULTS Twenty-two patients accepted the invitation. Eleven patients with CIDP had involuntary movements. Ten (45.5%) patients with CIDP had tremor and seven (31.8%) had short-duration and high-amplitude myoclonus. Regarding demographic, clinical and electrophysiological features, there was no significant difference between patients with and without tremor. The latencies of R1, R2 and R2c components of BR were longer among CIDP patients without tremor compared to CIDP patients with tremor. Presence of myoclonus (p = 0.007) and delayed F-waves (p = 0.008) were associated with the presence of tremor. CONCLUSION Tremor and myoclonus were frequent in CIDP. The fact that myoclonus was detected in the majority of patients only by multichannel surface EMG who were clinically evaluated as pure tremor suggests that a more detailed electrophysiological evaluation is required. There was no difference in the medications used or other clinical features between patients with and without tremor.
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Affiliation(s)
- Damla Çetinkaya Tezer
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Melih Tutuncu
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Mehmet Ali Akalin
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Nurten Uzun
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Feray Karaali Savrun
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Meral E Kiziltan
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Aysegul Gunduz
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey.
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17
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Matsubayashi T, Akaza M, Hayashi Y, Hamaguchi T, Satoh K, Kosami K, Ae R, Kitamoto T, Yamada M, Shimohata T, Yokota T, Sanjo N. Specific electroencephalogram features in the very early phases of sporadic Creutzfeldt–Jakob disease. J Neurol Sci 2022; 437:120265. [DOI: 10.1016/j.jns.2022.120265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 03/19/2022] [Accepted: 04/12/2022] [Indexed: 11/16/2022]
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18
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Suresh H, Mithani K, Brar K, Yan H, Strantzas S, Vandenberk M, Sharma R, Yau I, Go C, Pang E, Kerr E, Ochi A, Otsubo H, Jain P, Donner E, Snead OC, Ibrahim GM. Brainstem Associated Somatosensory Evoked Potentials and Response to Vagus Nerve Stimulation: An Investigation of the Vagus Afferent Network. Front Neurol 2022; 12:768539. [PMID: 35250790 PMCID: PMC8895499 DOI: 10.3389/fneur.2021.768539] [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: 08/31/2021] [Accepted: 12/22/2021] [Indexed: 12/05/2022] Open
Abstract
Despite decades of clinical usage, selection of patients with drug resistant epilepsy who are most likely to benefit from vagus nerve stimulation (VNS) remains a challenge. The mechanism of action of VNS is dependent upon afferent brainstem circuitry, which comprises a critical component of the Vagus Afferent Network (VagAN). To evaluate the association between brainstem afferent circuitry and seizure response, we retrospectively collected intraoperative data from sub-cortical recordings of somatosensory evoked potentials (SSEP) in 7 children with focal drug resistant epilepsy who had failed epilepsy surgery and subsequently underwent VNS. Using multivariate linear regression, we demonstrate a robust negative association between SSEP amplitude (p < 0.01), and seizure reduction. There was no association between SSEP latency and seizure outcomes. Our findings provide novel insights into the mechanism of VNS and inform our understanding of the importance of brainstem afferent circuitry within the VagAN for seizure responsiveness following VNS.
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Affiliation(s)
- Hrishikesh Suresh
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Division of Neurosurgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Karim Mithani
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
- Division of Neurosurgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Karanbir Brar
- Division of General Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Han Yan
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Division of Neurosurgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Samuel Strantzas
- Division of Neurosurgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Mike Vandenberk
- Division of Neurosurgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Roy Sharma
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Ivanna Yau
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Christina Go
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Elizabeth Pang
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Elizabeth Kerr
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Psychology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Ayako Ochi
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Hiroshi Otsubo
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Puneet Jain
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Elizabeth Donner
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
| | - O. Carter Snead
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - George M. Ibrahim
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Division of Neurosurgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- *Correspondence: George M. Ibrahim
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Jain J, Son M, Debicki DB, Jog M, Casserly CS, Burneo JG, Budhram A. Epilepsia partialis continua in relapsing-remitting multiple sclerosis: A possible distinct relapse phenotype. Clin Neurol Neurosurg 2022; 213:107099. [DOI: 10.1016/j.clineuro.2021.107099] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 10/05/2021] [Accepted: 12/15/2021] [Indexed: 11/03/2022]
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20
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Everlo CS, Elting JWJ, Tijssen MA, van der Stouwe AM. Electrophysiological testing aids the diagnosis of tremor and myoclonus in clinically challenging patients. Clin Neurophysiol Pract 2022; 7:51-58. [PMID: 35243186 PMCID: PMC8867002 DOI: 10.1016/j.cnp.2021.12.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/07/2021] [Accepted: 12/17/2021] [Indexed: 01/01/2023] Open
Abstract
Objective We investigated how clinical neurophysiological testing can help distinguish tremor and myoclonus and their subtypes. Methods We retrospectively analysed clinical and neurophysiological data from patients who had undergone polymyography (EMG + accelerometry) to diagnose suspected tremor or myoclonus. We show a systematic approach, which includes contraction pattern, rhythm regularity, burst duration and evidence of cortical drive. Results We detected 773 patients in our database, of which 556 patients were ultimately diagnosed with tremor (enhanced physiological tremor n = 169, functional tremor n = 140, essential tremor n = 90, parkinsonism associated tremor n = 64, cerebellar tremor n = 19, Holmes tremor n = 12, dystonic tremor n = 8, tremor not further specified n = 9), 140 with myoclonus and 23 with a combination of tremor and myoclonus. Polymyography confirmed the presumptive diagnosis in the majority of the patients and led to a change of diagnosis in 287 patients (37%). Conversions between diagnoses of tremor and myoclonus occurred most frequently between enhanced physiological tremor, essential tremor, functional tremor and cortical myoclonus. Conclusions Neurophysiology is a valuable additional tool in clinical practice to differentiate between tremor and myoclonus, and can guide towards a specific subtype. Significance We show how the stepwise neurophysiological approach used at our medical center aids the diagnosis of tremor versus myoclonus.
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Affiliation(s)
- Cheryl S.J. Everlo
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - Jan Willem J. Elting
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - Marina A.J. Tijssen
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - A.M. Madelein van der Stouwe
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
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21
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Merchant SHI. Emerging role of clinical neurophysiology in the diagnosis of movement disorders. Clin Neurophysiol Pract 2022; 7:49-50. [PMID: 35243185 PMCID: PMC8867001 DOI: 10.1016/j.cnp.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 01/17/2022] [Accepted: 01/20/2022] [Indexed: 11/20/2022] Open
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22
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Dubbioso R, Striano P, Tomasevic L, Bilo L, Esposito M, Manganelli F, Coppola A. OUP accepted manuscript. Brain Commun 2022; 4:fcac037. [PMID: 35233526 PMCID: PMC8882005 DOI: 10.1093/braincomms/fcac037] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/26/2021] [Accepted: 02/11/2022] [Indexed: 11/13/2022] Open
Abstract
Familial adult myoclonic epilepsy type 2 is a hereditary condition characterized by cortical tremor, myoclonus and epilepsy. It belongs to the spectrum of cortical myoclonus and the sensorimotor cortex hyperexcitability represents an important pathogenic mechanism underlying this condition. Besides pericentral cortical structures, the impairment of subcortical networks seems also to play a pathogenetic role, mainly via the thalamo-cortical pathway. However, the mechanisms underlying cortical–subcortical circuits dysfunction, as well as their impact on clinical manifestations, are still unknown. Therefore, the main aims of our study were to systematically study with an extensive electrophysiological battery, the cortical sensorimotor, as well as thalamo-cortical networks in genetically confirmed familial adult myoclonic epilepsy patients and to establish reliable neurophysiological biomarkers for the diagnosis. In 26 familial myoclonic epilepsy subjects, harbouring the intronic ATTTC repeat expansion in the StAR-related lipid transfer domain-containing 7 gene, 17 juvenile myoclonic epilepsy patients and 22 healthy controls, we evaluated the facilitatory and inhibitory circuits within the primary motor cortex using single and paired-pulse transcranial magnetic stimulation paradigms. We also probed the excitability of the somatosensory, as well as the thalamo-somatosensory cortex connection by using ad hoc somatosensory evoked potential protocols. The sensitivity and specificity of transcranial magnetic stimulation and somatosensory evoked potential metrics were derived from receiver operating curve analysis. Familial adult myoclonic epilepsy patients displayed increased facilitation and decreased inhibition within the sensorimotor cortex compared with juvenile myoclonic epilepsy patients (all P < 0.05) and healthy controls (all P < 0.05). Somatosensory evoked potential protocols also displayed a significant reduction of early high-frequency oscillations and less inhibition at paired-pulse protocol, suggesting a concomitant failure of thalamo-somatosensory cortex circuits. Disease onset and duration and myoclonus severity did not correlate either with sensorimotor hyperexcitability or thalamo-cortical measures (all P > 0.05). Patients with a longer disease duration had more severe myoclonus (r = 0.467, P = 0.02) associated with a lower frequency (r = −0.607, P = 0.001) and higher power of tremor (r = 0.479, P = 0.02). Finally, familial adult myoclonic epilepsy was reliably diagnosed using transcranial magnetic stimulation, demonstrating its superiority as a diagnostic factor compared to somatosensory evoked potential measures. In conclusion, deficits of sensorimotor cortical and thalamo-cortical circuits are involved in the pathophysiology of familial adult myoclonic epilepsy even if these alterations are not associated with clinical severity. Transcranial magnetic stimulation-based measurements display an overall higher accuracy than somatosensory evoked potential parameters to reliably distinguish familial adult myoclonic epilepsy from juvenile myoclonic epilepsy and healthy controls.
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Affiliation(s)
- Raffaele Dubbioso
- Department of Neuroscience, Odontostomatology and Reproductive Sciences, Federico II University, Naples, Italy
- Correspondence may also be addressed to: Dubbioso Raffaele MD PhD Department of Neurosciences Reproductive Sciences and Odontostomatology University Federico II of Napoli Via Sergio Pansini, 5. 80131 Napoli, Italy E-mail:
| | - Pasquale Striano
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
- IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Correspondence to: Striano Pasquale, MD, PhD Department of Neurosciences Rehabilitation, Ophthalmology, Genetics Maternal and Child Health (DiNOGMI) University of Genoa, Via Gaslini 5 padiglione 16, I piano, 16148 Genova, Italy E-mail: ;
| | - Leo Tomasevic
- Danish Research Centre for Magnetic Resonance (DRCMR), Copenhagen University, Kobenhavn, Denmark
| | - Leonilda Bilo
- Department of Neuroscience, Odontostomatology and Reproductive Sciences, Federico II University, Naples, Italy
| | | | - Fiore Manganelli
- Department of Neuroscience, Odontostomatology and Reproductive Sciences, Federico II University, Naples, Italy
| | - Antonietta Coppola
- Department of Neuroscience, Odontostomatology and Reproductive Sciences, Federico II University, Naples, Italy
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23
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Burton MA, Dalrymple WA, Figari R. Assessment and Treatment of Myoclonus: A Review. Neurology 2022. [DOI: 10.17925/usn.2022.18.1.38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Myoclonus is defined as sudden, brief, shock-like contractions of muscles, and it can be a challenging diagnosis for the clinician to face. The number of aetiologies can make it difficult to determine the appropriate diagnostic workup for each individual patient without ordering a broad array of diagnostic studies from the start. As with other neurological conditions, a comprehensive history and physical examination are paramount in generating and ordering the initial differential diagnosis. Neurophysiological classification of myoclonus, using both electroencephalogram and electromyography, can be very helpful in elucidating the underlying aetiology. Treatment of myoclonus is often symptomatic, unless a clear treatable underlying cause can be found. This article aims to help providers navigate the assessment and treatment of myoclonus, focusing on neurophysiological classification as a guide. By the end of this article, providers should have a good understanding of how to approach the workup and treatment of myoclonus of various aetiologies.
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24
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Tatum WO, Mani J, Jin K, Halford JJ, Gloss D, Fahoum F, Maillard L, Mothersill I, Beniczky S. Minimum standards for inpatient long-term video-EEG monitoring: A clinical practice guideline of the international league against epilepsy and international federation of clinical neurophysiology. Clin Neurophysiol 2021; 134:111-128. [PMID: 34955428 DOI: 10.1016/j.clinph.2021.07.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The objective of this clinical practice guideline is to provide recommendations on the indications and minimum standards for inpatient long-term video-electroencephalographic monitoring (LTVEM). The Working Group of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology develop guidelines aligned with the Epilepsy Guidelines Task Force. We reviewed published evidence using The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement. We found limited high-level evidence aimed at specific aspects of diagnosis for LTVEM performed to evaluate patients with seizures and nonepileptic events (see Table S1). For classification of evidence, we used the Clinical Practice Guideline Process Manual of the American Academy of Neurology. We formulated recommendations for the indications, technical requirements, and essential practice elements of LTVEM to derive minimum standards used in the evaluation of patients with suspected epilepsy using GRADE (Grading of Recommendations, Assessment, Development, and Evaluation). Further research is needed to obtain evidence about long-term outcome effects of LTVEM and establish its clinical utility.
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Affiliation(s)
- William O Tatum
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA.
| | - Jayanti Mani
- Department of Neurology, Kokilaben Dhirubai Ambani Hospital, Mumbai, India
| | - Kazutaka Jin
- Department of Epileptology, Tohoku University Graduate School of Medicine, Japan
| | - Jonathan J Halford
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA.
| | - David Gloss
- Department of Neurology, Charleston Area Medical Center, Charleston, WV, USA
| | - Firas Fahoum
- Department of Neurology, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Louis Maillard
- Department of Neurology, University of Nancy, UMR7039, University of Lorraine, France.
| | - Ian Mothersill
- Department of Clinical Neurophysiology, Swiss Epilepsy Center, Zurich Switzerland.
| | - Sandor Beniczky
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark; Danish Epilepsy Center, Dianalund, Denmark.
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25
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Tatum WO, Mani J, Jin K, Halford JJ, Gloss D, Fahoum F, Maillard L, Mothersill I, Beniczky S. Minimum standards for inpatient long-term video-electroencephalographic monitoring: A clinical practice guideline of the International League Against Epilepsy and International Federation of Clinical Neurophysiology. Epilepsia 2021; 63:290-315. [PMID: 34897662 DOI: 10.1111/epi.16977] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 01/02/2023]
Abstract
The objective of this clinical practice guideline is to provide recommendations on the indications and minimum standards for inpatient long-term video-electroencephalographic monitoring (LTVEM). The Working Group of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology develop guidelines aligned with the Epilepsy Guidelines Task Force. We reviewed published evidence using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) statement. We found limited high-level evidence aimed at specific aspects of diagnosis for LTVEM performed to evaluate patients with seizures and nonepileptic events. For classification of evidence, we used the Clinical Practice Guideline Process Manual of the American Academy of Neurology. We formulated recommendations for the indications, technical requirements, and essential practice elements of LTVEM to derive minimum standards used in the evaluation of patients with suspected epilepsy using GRADE (Grading of Recommendations Assessment, Development, and Evaluation). Further research is needed to obtain evidence about long-term outcome effects of LTVEM and to establish its clinical utility.
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Affiliation(s)
- William O Tatum
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Jayanti Mani
- Department of Neurology, Kokilaben Dhirubai Ambani Hospital, Mumbai, India
| | - Kazutaka Jin
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Jonathan J Halford
- Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - David Gloss
- Department of Neurology, Charleston Area Medical Center, Charleston, West Virginia, USA
| | - Firas Fahoum
- Department of Neurology, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Louis Maillard
- Department of Neurology, University of Nancy, UMR7039, University of Lorraine, Nancy, France
| | - Ian Mothersill
- Department of Clinical Neurophysiology, Swiss Epilepsy Center, Zurich,, Switzerland
| | - Sandor Beniczky
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark.,Danish Epilepsy Center, Dianalund, Denmark
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26
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Abu-Hegazy M, Elmoungi A, Eltantawi E, Esmael A. Electrophysiological characteristics and anatomical differentiation of epileptic and non-epileptic myoclonus. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2021. [DOI: 10.1186/s41983-021-00374-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Electrophysiological techniques have been used for discriminating myoclonus from other hyperkinetic movement disorders and for classifying the myoclonus subtype. This study was carried out on patients with different subtypes of myoclonus to determine the electrophysiological characteristics and the anatomical classification of myoclonus of different etiologies. This study included 20 patients with different subtypes of myoclonus compared with 30 control participants. Electrophysiological study was carried out for all patients by somatosensory evoked potential (SSEP) and electroencephalography (EEG) while the control group underwent SSEP. SSEP was evaluated in patients and control groups by stimulation of right and left median nerves.
Results
This study included 50 cases with myoclonus of different causes with mean age of 39.3 ± 15.7 and consisted of 23 males and 27 females. Twenty-nine (58%) of the patients were epileptics, while 21 (42%) were non-epileptics. Cases were classified anatomically into ten cases with cortical myoclonus (20%), 12 cases with subcortical myoclonus (24%), and 28 cases with cortical–subcortical myoclonus (56%). There was a significant difference regarding the presence of EEG findings in epileptic myoclonic and non-epileptic myoclonic groups (P = 0.005). Also, there were significant differences regarding P24 amplitude, N33 amplitude, P24–N33 peak-to-peak complex amplitude regarding all types of myoclonus. Primary myoclonic epilepsy (PME) demonstrated significant giant response, juvenile myoclonic epilepsy (JME) demonstrated no enhancement compared to controls, while secondary myoclonus demonstrated lower giant response compared to PME.
Conclusion
Somatosensory evoked potential and electroencephalography are important for the diagnosis and anatomical sub-classification of myoclonus and so may help in decision-making regarding to the subsequent management.
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Matsubara T, Ahlfors SP, Mima T, Hagiwara K, Shigeto H, Tobimatsu S, Goto Y, Stufflebeam S. Bilateral Representation of Sensorimotor Responses in Benign Adult Familial Myoclonus Epilepsy: An MEG Study. Front Neurol 2021; 12:759866. [PMID: 34764933 PMCID: PMC8577121 DOI: 10.3389/fneur.2021.759866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 09/21/2021] [Indexed: 12/03/2022] Open
Abstract
Patients with cortical reflex myoclonus manifest typical neurophysiologic characteristics due to primary sensorimotor cortex (S1/M1) hyperexcitability, namely, contralateral giant somatosensory-evoked potentials/fields and a C-reflex (CR) in the stimulated arm. Some patients show a CR in both arms in response to unilateral stimulation, with about 10-ms delay in the non-stimulated compared with the stimulated arm. This bilateral C-reflex (BCR) may reflect strong involvement of bilateral S1/M1. However, the significance and exact pathophysiology of BCR within 50 ms are yet to be established because it is difficult to identify a true ipsilateral response in the presence of the giant component in the contralateral hemisphere. We hypothesized that in patients with BCR, bilateral S1/M1 activity will be detected using MEG source localization and interhemispheric connectivity will be stronger than in healthy controls (HCs) between S1/M1 cortices. We recruited five patients with cortical reflex myoclonus with BCR and 15 HCs. All patients had benign adult familial myoclonus epilepsy. The median nerve was electrically stimulated unilaterally. Ipsilateral activity was investigated in functional regions of interest that were determined by the N20m response to contralateral stimulation. Functional connectivity was investigated using weighted phase-lag index (wPLI) in the time-frequency window of 30–50 ms and 30–100 Hz. Among seven of the 10 arms of the patients who showed BCR, the average onset-to-onset delay between the stimulated and the non-stimulated arm was 8.4 ms. Ipsilateral S1/M1 activity was prominent in patients. The average time difference between bilateral cortical activities was 9.4 ms. The average wPLI was significantly higher in the patients compared with HCs in specific cortico-cortical connections. These connections included precentral-precentral, postcentral-precentral, inferior parietal (IP)-precentral, and IP-postcentral cortices interhemispherically (contralateral region-ipsilateral region), and precentral-IP and postcentral-IP intrahemispherically (contralateral region-contralateral region). The ipsilateral response in patients with BCR may be a pathologically enhanced motor response homologous to the giant component, which was too weak to be reliably detected in HCs. Bilateral representation of sensorimotor responses is associated with disinhibition of the transcallosal inhibitory pathway within homologous motor cortices, which is mediated by the IP. IP may play a role in suppressing the inappropriate movements seen in cortical myoclonus.
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Affiliation(s)
- Teppei Matsubara
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States.,Harvard Medical School, Boston, MA, United States.,Research Fellow of Japan Society for the Promotion of Science, Tokyo, Japan.,International University of Health and Welfare, Otawara, Japan
| | - Seppo P Ahlfors
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States.,Harvard Medical School, Boston, MA, United States
| | - Tatsuya Mima
- Graduate School of Core Ethics and Frontier Sciences, Ritsumeikan University, Kyoto, Japan
| | - Koichi Hagiwara
- Epilepsy and Sleep Center, Fukuoka Sanno Hospital, Fukuoka, Japan
| | - Hiroshi Shigeto
- Division of Medical Technology, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shozo Tobimatsu
- Department of Orthoptics, Faculty of Medicine, Fukuoka International University of Health and Welfare, Fukuoka, Japan
| | - Yoshinobu Goto
- Department of Physiology, School of Medicine, International University of Health and Welfare, Okawa, Japan
| | - Steven Stufflebeam
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States.,Harvard Medical School, Boston, MA, United States
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Hallett M, DelRosso LM, Elble R, Ferri R, Horak FB, Lehericy S, Mancini M, Matsuhashi M, Matsumoto R, Muthuraman M, Raethjen J, Shibasaki H. Evaluation of movement and brain activity. Clin Neurophysiol 2021; 132:2608-2638. [PMID: 34488012 PMCID: PMC8478902 DOI: 10.1016/j.clinph.2021.04.023] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 04/07/2021] [Accepted: 04/25/2021] [Indexed: 11/25/2022]
Abstract
Clinical neurophysiology studies can contribute important information about the physiology of human movement and the pathophysiology and diagnosis of different movement disorders. Some techniques can be accomplished in a routine clinical neurophysiology laboratory and others require some special equipment. This review, initiating a series of articles on this topic, focuses on the methods and techniques. The methods reviewed include EMG, EEG, MEG, evoked potentials, coherence, accelerometry, posturography (balance), gait, and sleep studies. Functional MRI (fMRI) is also reviewed as a physiological method that can be used independently or together with other methods. A few applications to patients with movement disorders are discussed as examples, but the detailed applications will be the subject of other articles.
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Affiliation(s)
- Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA.
| | | | - Rodger Elble
- Department of Neurology, Southern Illinois University School of Medicine, Springfield, IL, USA
| | | | - Fay B Horak
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Stephan Lehericy
- Paris Brain Institute (ICM), Centre de NeuroImagerie de Recherche (CENIR), Team "Movement, Investigations and Therapeutics" (MOV'IT), INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
| | - Martina Mancini
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Masao Matsuhashi
- Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate, School of Medicine, Japan
| | - Riki Matsumoto
- Division of Neurology, Kobe University Graduate School of Medicine, Japan
| | - Muthuraman Muthuraman
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Jan Raethjen
- Neurology Outpatient Clinic, Preusserstr. 1-9, 24105 Kiel, Germany
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29
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Chandarana M, Saraf U, Divya KP, Krishnan S, Kishore A. Myoclonus- A Review. Ann Indian Acad Neurol 2021; 24:327-338. [PMID: 34446993 PMCID: PMC8370153 DOI: 10.4103/aian.aian_1180_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 11/29/2020] [Accepted: 12/09/2020] [Indexed: 11/19/2022] Open
Abstract
Myoclonus is a hyperkinetic movement disorder characterized by a sudden, brief, involuntary jerk. Positive myoclonus is caused by abrupt muscle contractions, while negative myoclonus by sudden cessation of ongoing muscular contractions. Myoclonus can be classified in various ways according to body distribution, relation to activity, neurophysiology, and etiology. The neurophysiological classification of myoclonus by means of electrophysiological tests is helpful in guiding the best therapeutic strategy. Given the diverse etiologies of myoclonus, a thorough history and detailed physical examination are key to the evaluation of myoclonus. These along with basic laboratory testing and neurophysiological studies help in narrowing down the clinical possibilities. Though symptomatic treatment is required in the majority of cases, treatment of the underlying etiology should be the primary aim whenever possible. Symptomatic treatment is often not satisfactory, and a combination of different drugs is often required to control the myoclonus. This review addresses the etiology, classification, clinical approach, and management of myoclonus.
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Affiliation(s)
- Mitesh Chandarana
- Comprehensive Care Centre for Movement Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Udit Saraf
- Comprehensive Care Centre for Movement Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - K P Divya
- Comprehensive Care Centre for Movement Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Syam Krishnan
- Comprehensive Care Centre for Movement Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Asha Kishore
- Comprehensive Care Centre for Movement Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
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30
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Directionality of corticomuscular coupling in essential tremor and cortical myoclonic tremor. Clin Neurophysiol 2021; 132:1878-1886. [PMID: 34147924 DOI: 10.1016/j.clinph.2021.04.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 04/02/2021] [Accepted: 04/16/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE A role of the motor cortex in tremor generation in essential tremor (ET) is assumed, yet the directionality of corticomuscular coupling is unknown. Our aim is to clarify the role of the motor cortex. To this end we also study 'familial cortical myoclonic tremor with epilepsy' (FCMTE) and slow repetitive voluntary movements with a known cortical drive. METHODS Directionality of corticomuscular coupling (EEG-EMG) was studied with renormalized partial directed coherence (rPDC) during tremor in 25 ET patients, 25 healthy controls (mimicked) and in seven FCMTE patients; and during a self-paced 2 Hz task in eight ET patients and seven healthy controls. RESULTS Efferent coupling around tremor frequency was seen in 33% of ET patients, 45.5% of healthy controls, all FCMTE patients, and, around 2 Hz, in all ET patients and all healthy controls. Ascending coupling, seen in the majority of all participants, was weaker in ET than in healthy controls around 5-6 Hz. CONCLUSIONS Possible explanations are that tremor in ET results from faulty subcortical output bypassing the motor cortex; rate-dependent transmission similar to generation of rhythmic movements; and/or faulty feedforward mechanism resulting from decreased afferent (sensory) coupling. SIGNIFICANCE A linear cortical drive is lacking in the majority of ET patients.
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31
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Latorre A, Rocchi L, Magrinelli F, Mulroy E, Berardelli A, Rothwell JC, Bhatia KP. Unravelling the enigma of cortical tremor and other forms of cortical myoclonus. Brain 2021; 143:2653-2663. [PMID: 32417917 DOI: 10.1093/brain/awaa129] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 02/11/2020] [Accepted: 02/27/2020] [Indexed: 12/21/2022] Open
Abstract
Cortical tremor is a fine rhythmic oscillation involving distal upper limbs, linked to increased sensorimotor cortex excitability, as seen in cortical myoclonus. Cortical tremor is the hallmark feature of autosomal dominant familial cortical myoclonic tremor and epilepsy (FCMTE), a syndrome not yet officially recognized and characterized by clinical and genetic heterogeneity. Non-coding repeat expansions in different genes have been recently recognized to play an essential role in its pathogenesis. Cortical tremor is considered a rhythmic variant of cortical myoclonus and is part of the 'spectrum of cortical myoclonus', i.e. a wide range of clinical motor phenomena, from reflex myoclonus to myoclonic epilepsy, caused by abnormal sensorimotor cortical discharges. The aim of this update is to provide a detailed analysis of the mechanisms defining cortical tremor, as seen in FCMTE. After reviewing the clinical and genetic features of FCMTE, we discuss the possible mechanisms generating the distinct elements of the cortical myoclonus spectrum, and how cortical tremor fits into it. We propose that the spectrum is due to the evolution from a spatially limited focus of excitability to recruitment of more complex mechanisms capable of sustaining repetitive activity, overcoming inhibitory mechanisms that restrict excitatory bursts, and engaging wide areas of cortex. Finally, we provide evidence for a possible common denominator of the elements of the spectrum, i.e. the cerebellum, and discuss its role in FCMTE, according to recent genetic findings.
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Affiliation(s)
- Anna Latorre
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
- Department of Human Neurosciences, Sapienza University of Rome, Italy
| | - Lorenzo Rocchi
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
| | - Francesca Magrinelli
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Eoin Mulroy
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Italy
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Neuromed, Pozzilli, IS, Italy
| | - John C Rothwell
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
| | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
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32
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Chen J, Zhou X, Lu Q, Jin L, Huang Y. Video electroencephalogram combined with electromyography in the diagnosis of hyperkinetic movement disorders with an unknown cause. Neurol Sci 2021; 42:3801-3811. [PMID: 33462635 DOI: 10.1007/s10072-021-05053-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 01/11/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Diagnosis of hyperkinetic movement disorders with an unknown cause is usually challenging. The objective of this study is to learn about video electroencephalogram (VEEG) combined with electromyography (EMG) in the diagnosis of hyperkinetic movement disorders with an unknown cause. METHODS We performed an observational cohort study by recruiting consecutive patients with hyperkinetic movements as the main manifestation with an unknown cause for VEEG combined with EMG evaluations. RESULTS A total of 77 consecutive patients were enrolled for VEEG-EMG examination. Among them, 57 patients changed their diagnosis after VEEG-EMG assessment, with a mean final diagnosis age of 35.4 ± 20.3 years (range, 4-74 years). The mean duration between initial and final diagnosis was 54.8 ± 71.3 months (range 0.5-300 months). The most common misdiagnosed hyperkinetic movement disorders were myoclonus (40.4%), followed by tremors (24.6%), dystonia (15.8%), psychogenic movement disorders (10.5%), and periodic leg movement syndrome (PLMS) (7.0%). Outcomes of therapy were significantly improved after VEEG-EMG examination (p = 0.000). CONCLUSIONS Simultaneous VEEG and EMG are important in the diagnosis of hyperkinetic movement disorders with an unknown cause.
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Affiliation(s)
- Jianhua Chen
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China.
| | - Xiangqin Zhou
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China
| | - Qiang Lu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China
| | - Liri Jin
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China
| | - Yan Huang
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China
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33
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Mitoma H, Manto M, Hadjivassiliou M. Immune-Mediated Cerebellar Ataxias: Clinical Diagnosis and Treatment Based on Immunological and Physiological Mechanisms. J Mov Disord 2021; 14:10-28. [PMID: 33423437 PMCID: PMC7840241 DOI: 10.14802/jmd.20040] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 09/04/2020] [Indexed: 12/24/2022] Open
Abstract
Since the first description of immune-mediated cerebellar ataxias (IMCAs) by Charcot in 1868, several milestones have been reached in our understanding of this group of neurological disorders. IMCAs have diverse etiologies, such as gluten ataxia, postinfectious cerebellitis, paraneoplastic cerebellar degeneration, opsoclonus myoclonus syndrome, anti-GAD ataxia, and primary autoimmune cerebellar ataxia. The cerebellum, a vulnerable autoimmune target of the nervous system, has remarkable capacities (collectively known as the cerebellar reserve, closely linked to plasticity) to compensate and restore function following various pathological insults. Therefore, good prognosis is expected when immune-mediated therapeutic interventions are delivered during early stages when the cerebellar reserve can be preserved. However, some types of IMCAs show poor responses to immunotherapies, even if such therapies are introduced at an early stage. Thus, further research is needed to enhance our understanding of the autoimmune mechanisms underlying IMCAs, as such research could potentially lead to the development of more effective immunotherapies. We underscore the need to pursue the identification of robust biomarkers.
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Affiliation(s)
- Hiroshi Mitoma
- Department of Medical Education, Tokyo Medical University, Tokyo, Japan
| | - Mario Manto
- Service de Neurologie, Médiathèque Jean Jacquy, CHU-Charleroi, Charleroi, Belgium.,Service des Neurosciences, University of Mons, Mons, Belgium
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34
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Turk BG, Yeni N, Gunduz A, Alis C, Kiziltan M. Surround inhibition in patients with juvenile myoclonic epilepsy. Neurol Res 2020; 43:343-348. [PMID: 33382016 DOI: 10.1080/01616412.2020.1866248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVE In healthy subjects, there is a reduction in the amplitudes of somatosensory-evoked potentials (SEPs) after the simultaneous stimulation of two nerves compared to the sum of separate stimulations. This reduction is due to the inhibition of one area in the cortex after stimulation of the neighboring area, which results from the surround inhibition (SI) phenomenon. In this study, we aimed to investigate whether there was a decrease in SI of SEP in patients with juvenile myoclonic epilepsy (JME). METHODS We included 17 patients with JME and 18 healthy subjects. Groups were similar in terms of age and gender. We recorded SEPs after stimulating (i) median nerve (mSEP), (ii) ulnar nerve (uSEP), (iii) median and ulnar nerves simultaneously (muSEP) at wrist. The arithmetic sum (aSEP) of amplitudes of mSEP and uSEP was compared with the amplitudes of muSEP. We also calculated SI%. RESULTS The amplitudes of SEPs were significantly higher in the JME group than in the healthy subjects (mSEP, p = 0.005; uSEP, p = 0.032; muSEP, p = 0.014). In healthy subjects and the JME group, the amplitude of muSEP was significantly lower than the aSEP (p = 0.014; p = 0.001, respectively). However, SI% was significantly higher in the JME group (p = 0.010). SIGNIFICANCE Although the SI is maintained in JME patients, the higher SI% indicates an impairment relative to healthy subjects.
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Affiliation(s)
- Bengi Gul Turk
- Cerrahpasa Faculty of Medicine, IstanbulUniversity-Cerrahpasa, Istanbul, Turkey
| | - Naz Yeni
- Cerrahpasa Faculty of Medicine, IstanbulUniversity-Cerrahpasa, Istanbul, Turkey
| | - Aysegul Gunduz
- Cerrahpasa Faculty of Medicine, IstanbulUniversity-Cerrahpasa, Istanbul, Turkey
| | - Ceren Alis
- Cerrahpasa Faculty of Medicine, IstanbulUniversity-Cerrahpasa, Istanbul, Turkey
| | - Meral Kiziltan
- Cerrahpasa Faculty of Medicine, IstanbulUniversity-Cerrahpasa, Istanbul, Turkey
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Collins AF, Brown STR, Baker MR. Minimum Electromyographic Burst Duration in Healthy Controls: Implications for Electrodiagnosis in Movement Disorders. Mov Disord Clin Pract 2020; 7:827-833. [PMID: 33033737 PMCID: PMC7533965 DOI: 10.1002/mdc3.13044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 07/09/2020] [Accepted: 07/24/2020] [Indexed: 11/29/2022] Open
Abstract
Background Electromyogram (EMG) burst duration can provide additional diagnostic information when investigating hyperkinetic movement disorders, particularly when a functional movement disorder is suspected. It is generally accepted that EMG bursts <50 milliseconds are pathological. Objective To reassess minimum physiological EMG burst duration. Methods Surface EMG was recorded from face, trunk, and limb muscles in controls (n = 60; ages 19–85). Participants were instructed to generate the briefest possible ballistic movements involving each muscle (40 repetitions) or, in muscles spanning joints, to generate rapid rhythmic alternating movements (20–30 seconds), or both. Results We found no effect of age on EMG burst duration. However, EMG burst duration varied significantly between body regions. Rhythmic EMG bursts were shorter than ballistic bursts but only significantly so for lower limbs (P < 0.001). EMG bursts of duration <50 milliseconds were frequently observed, particularly in appendicular muscles. Conclusion We present normal reference data for minimum EMG burst duration, which may assist clinical interpretation when investigating hyperkinetic movement disorders.
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Affiliation(s)
- Alexis F Collins
- Translational and Clinical Research Institute, The Medical School Newcastle University Newcastle upon Tyne United Kingdom.,Sheffield Institute for Translational Neuroscience The University of Sheffield Sheffield United Kingdom
| | - Steven T R Brown
- Translational and Clinical Research Institute, The Medical School Newcastle University Newcastle upon Tyne United Kingdom
| | - Mark R Baker
- Translational and Clinical Research Institute, The Medical School Newcastle University Newcastle upon Tyne United Kingdom.,Department of Neurology Royal Victoria Infirmary Newcastle upon Tyne United Kingdom.,Department of Clinical Neurophysiology Royal Victoria Infirmary Newcastle upon Tyne United Kingdom
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36
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Pattrick M, Sarrigiannis PG, Kruger S, Davies B, Hoggard N, Irani SR, Unwin Z, Zis P, Blackburn DJ, Hadjivassiliou M. Brain hyper-excitability in DPPX ataxia. J Neurol 2020; 267:3096-3099. [DOI: 10.1007/s00415-020-10182-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 06/15/2020] [Accepted: 08/20/2020] [Indexed: 11/30/2022]
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37
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Todisco M, Gana S, Cosentino G, Errichiello E, Arceri S, Avenali M, Valente EM, Alfonsi E. KCTD17-related myoclonus-dystonia syndrome: clinical and electrophysiological findings of a patient with atypical late onset. Parkinsonism Relat Disord 2020; 78:129-133. [DOI: 10.1016/j.parkreldis.2020.07.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/26/2020] [Accepted: 07/27/2020] [Indexed: 11/27/2022]
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38
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Merchant SHI, Vial-Undurraga F, Leodori G, van Gerpen JA, Hallett M. Myoclonus: An Electrophysiological Diagnosis. Mov Disord Clin Pract 2020; 7:489-499. [PMID: 32626792 DOI: 10.1002/mdc3.12986] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 04/03/2020] [Accepted: 05/03/2020] [Indexed: 12/28/2022] Open
Abstract
Background Many different movement disorders have similar "jerk-like" phenomenology and can be misconstrued as myoclonus. Different types of myoclonus also share similar phenomenological characteristics that can be difficult to distinguish solely based on clinical exam. However, they have distinctive physiologic characteristics that can help refine categorization of jerk-like movements. Objectives In this review, we briefly summarize the clinical, physiologic, and pathophysiologic characteristics of different types of myoclonus. The methodology and technical considerations for the electrophysiologic assessment of jerk-like movements are reviewed. A simplistic pragmatic approach for the classification of myoclonus and other jerk-like movements based on objective electrophysiologic characteristics is proposed. Conclusions Clinical neurophysiology is an underutilized tool in the diagnosis and treatment of movement disorders. Various jerk-like movements have distinguishing physiologic characteristics, differentiated in the milliseconds range, which is beyond human capacity. We argue that the categorization of movement disorders as myoclonus can be refined based on objective physiology that can have important prognostic and therapeutic implications.
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Affiliation(s)
| | | | | | - Jay A van Gerpen
- Department of Neurology University of Alabama Huntsville Alabama USA
| | - Mark Hallett
- National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda Maryland USA
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Grippe T, Cunha NSCD, BrandÃo PRDP, Fernandez RNM, Cardoso FEC. How can neurophysiological studies help with movement disorders characterization in clinical practice? A review. ARQUIVOS DE NEURO-PSIQUIATRIA 2020; 78:512-522. [PMID: 32901697 DOI: 10.1590/0004-282x20190195] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 11/18/2019] [Indexed: 11/21/2022]
Abstract
BACKGROUND Neurophysiological studies are ancillary tools to better understand the features and nature of movement disorders. Electromyography (EMG), together with electroencephalography (EEG) and accelerometer, can be used to evaluate a hypo and hyperkinetic spectrum of movements. Specific techniques can be applied to better characterize the phenomenology, help distinguish functional from organic origin and assess the most probable site of the movement generator in the nervous system. OBJECTIVE We intend to provide an update for clinicians on helpful neurophysiological tools to assess movement disorders in clinical practice. METHODS Non-systematic review of the literature published up to June 2019. RESULTS A diversity of protocols was found and described. These include EMG analyses to define dystonia, myoclonus, myokymia, myorhythmia, and painful legs moving toes pattern; EMG in combination with accelerometer to study tremor; and EEG-EMG to study myoclonus. Also, indirect measures of cortical and brainstem excitability help to describe and diagnose abnormal physiology in Parkinson's disease, atypical parkinsonism, dystonia, and myoclonus. CONCLUSION These studies can be helpful for the diagnosis and are usually underutilized in neurological practice.
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Affiliation(s)
- Talyta Grippe
- Centro Universitário de Brasília, Faculdade de Medicina, Brasília DF, Brazil.,Hospital de Base do Distrito Federal, Departamento de Neurologia, Brasília DF, Brazil
| | | | | | | | - Francisco Eduardo Costa Cardoso
- Universidade Federal de Minas Gerais, Departamento de Clínica Médica, Unidade de Distúrbios do Movimento, Belo Horizonte MG, Brazil
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Abstract
The progressive myoclonic epilepsies (PMEs) represent a rare but devastating group of syndromes characterized by epileptic myoclonus, typically action-induced seizures, neurological regression, medically refractory epilepsy, and a variety of other signs and symptoms depending on the specific syndrome. Most of the PMEs begin in children who are developing as expected, with the onset of the disorder heralded by myoclonic and other seizure types. The conditions are considerably heterogenous, but medical intractability to epilepsy, particularly myoclonic seizures, is a core feature. With the increasing use of molecular genetic techniques, mutations and their abnormal protein products are being delineated, providing a basis for disease-based therapy. However, genetic and enzyme replacement or substrate removal are in the nascent stage, and the primary therapy is through antiepileptic drugs. Epilepsy in children with progressive myoclonic seizures is notoriously difficult to treat. The disorder is rare, so few double-blinded, placebo-controlled trials have been conducted in PME, and drugs are chosen based on small open-label trials or extrapolation of data from drug trials of other syndromes with myoclonic seizures. This review discusses the major PME syndromes and their neurogenetic basis, pathophysiological underpinning, electroencephalographic features, and currently available treatments.
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Affiliation(s)
- Gregory L Holmes
- Department of Neurological Sciences, Larner College of Medicine, University of Vermont College of Medicine, Stafford Hall, 118C, Burlington, VT, 05405, USA.
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41
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Chen KHS, Chen R. Principles of Electrophysiological Assessments for Movement Disorders. J Mov Disord 2020; 13:27-38. [PMID: 31986867 PMCID: PMC6987526 DOI: 10.14802/jmd.19064] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 10/21/2019] [Indexed: 12/22/2022] Open
Abstract
Electrophysiological studies can provide objective and quantifiable assessments of movement disorders. They are useful in the diagnosis of hyperkinetic movement disorders, particularly tremors and myoclonus. The most commonly used measures are surface electromyography (sEMG), electroencephalography (EEG) and accelerometry. Frequency and coherence analyses of sEMG signals may reveal the nature of tremors and the source of the tremors. The effects of voluntary tapping, ballistic movements and weighting of the limbs can help to distinguish between organic and functional tremors. The presence of Bereitschafts-potentials and beta-band desynchronization recorded by EEG before movement onset provide strong evidence for functional movement disorders. EMG burst durations, distributions and muscle recruitment orders may identify and classify myoclonus to cortical, subcortical or spinal origins and help in the diagnosis of functional myoclonus. Organic and functional cervical dystonia can potentially be distinguished by EMG power spectral analysis. Several reflex circuits, such as the long latency reflex, blink reflex and startle reflex, can be elicited with different types of external stimuli and are useful in the assessment of myoclonus, excessive startle and stiff person syndrome. However, limitations of the tests should be recognized, and the results should be interpreted together with clinical observations.
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Affiliation(s)
- Kai-Hsiang Stanley Chen
- Department of Neurology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Robert Chen
- Krembil Research Institute, University Health Network, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Edmond J. Safra Program in Parkinson's Disease, University Health Network, Toronto, ON, Canada
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Hwang J, Bank AM, Mortazavi F, Oakley DH, Frosch MP, Schmahmann JD. Spinal cord α-synuclein deposition associated with myoclonus in patients with MSA-C. Neurology 2020; 93:302-309. [PMID: 31405935 DOI: 10.1212/wnl.0000000000007949] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 05/21/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that myoclonus in patients with multiple system atrophy with predominant cerebellar ataxia (MSA-C) is associated with a heavier burden of α-synuclein deposition in the motor regions of the spinal cord, we compared the degree of α-synuclein deposition in spinal cords of 3 patients with MSA-C with myoclonus and 3 without myoclonus. METHODS All human tissue was obtained by the Massachusetts General Hospital Department of Pathology with support from and according to neuropathology guidelines of the Massachusetts Alzheimer's Disease Research Center. Tissue was stained with Luxol fast blue and hematoxylin & eosin for morphologic evaluation, and with a mouse monoclonal antibody to α-synuclein and Vectastain DAB kit. Images of the spinal cord sections were digitized using a 10× objective lens. Grayscale versions of these images were transferred to ImageJ software for quantitative analysis of 8 different regions of interest (ROIs) in the spinal cord: dorsal column, anterior white column, left and right dorsal horns, left and right anterior horns, and left and right lateral corticospinal tracts. A mixed-effect, multiple linear regression model was constructed to determine if patients with and without myoclonus had significantly different distributions of α-synuclein deposition across the various ROIs. RESULTS Patients with myoclonus had more α-synuclein in the anterior horns (p < 0.001) and lateral corticospinal tracts (p = 0.02) than those without myoclonus. CONCLUSIONS In MSA-C, myoclonus appears to be associated with a higher burden of α-synuclein deposition within spinal cord motor regions. Future studies with more patients will be needed to confirm these findings.
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Affiliation(s)
- Jaeho Hwang
- From Harvard Medical School (J.H., J.D.S.); Harvard T.H. Chan School of Public Health (J.H.), Boston, MA; Department of Neurology (A.M.B.), Columbia University Medical Center, New York, NY; Laboratory for Cognitive Neurobiology, Department of Anatomy and Neurobiology (F.M.), Boston University School of Medicine, MA; and Departments of Pathology (D.H.O., M.P.F.) and Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology (J.D.H.), Massachusetts General Hospital, Boston
| | - Anna M Bank
- From Harvard Medical School (J.H., J.D.S.); Harvard T.H. Chan School of Public Health (J.H.), Boston, MA; Department of Neurology (A.M.B.), Columbia University Medical Center, New York, NY; Laboratory for Cognitive Neurobiology, Department of Anatomy and Neurobiology (F.M.), Boston University School of Medicine, MA; and Departments of Pathology (D.H.O., M.P.F.) and Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology (J.D.H.), Massachusetts General Hospital, Boston
| | - Farzad Mortazavi
- From Harvard Medical School (J.H., J.D.S.); Harvard T.H. Chan School of Public Health (J.H.), Boston, MA; Department of Neurology (A.M.B.), Columbia University Medical Center, New York, NY; Laboratory for Cognitive Neurobiology, Department of Anatomy and Neurobiology (F.M.), Boston University School of Medicine, MA; and Departments of Pathology (D.H.O., M.P.F.) and Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology (J.D.H.), Massachusetts General Hospital, Boston
| | - Derek H Oakley
- From Harvard Medical School (J.H., J.D.S.); Harvard T.H. Chan School of Public Health (J.H.), Boston, MA; Department of Neurology (A.M.B.), Columbia University Medical Center, New York, NY; Laboratory for Cognitive Neurobiology, Department of Anatomy and Neurobiology (F.M.), Boston University School of Medicine, MA; and Departments of Pathology (D.H.O., M.P.F.) and Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology (J.D.H.), Massachusetts General Hospital, Boston
| | - Matthew P Frosch
- From Harvard Medical School (J.H., J.D.S.); Harvard T.H. Chan School of Public Health (J.H.), Boston, MA; Department of Neurology (A.M.B.), Columbia University Medical Center, New York, NY; Laboratory for Cognitive Neurobiology, Department of Anatomy and Neurobiology (F.M.), Boston University School of Medicine, MA; and Departments of Pathology (D.H.O., M.P.F.) and Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology (J.D.H.), Massachusetts General Hospital, Boston
| | - Jeremy D Schmahmann
- From Harvard Medical School (J.H., J.D.S.); Harvard T.H. Chan School of Public Health (J.H.), Boston, MA; Department of Neurology (A.M.B.), Columbia University Medical Center, New York, NY; Laboratory for Cognitive Neurobiology, Department of Anatomy and Neurobiology (F.M.), Boston University School of Medicine, MA; and Departments of Pathology (D.H.O., M.P.F.) and Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology (J.D.H.), Massachusetts General Hospital, Boston.
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Abstract
Tremor and myoclonus are two common hyperkinetic movement disorders. Tremor is characterized by rhythmic oscillatory movements while myoclonic jerks are usually arrhythmic. Tremor can be classified into subtypes including the most common types: essential, enhanced physiological, and parkinsonian tremor. Myoclonus classification is based on its anatomic origin: cortical, subcortical, spinal, and peripheral myoclonus. The clinical presentations are unfortunately not always classic and electrophysiologic investigations can be helpful in making a phenotypic diagnosis. Video-polymyography is the main technique to (sub)classify the involuntary movements. In myoclonus, advanced electrophysiologic testing, such as back-averaging, coherence analysis, somatosensory-evoked potentials, and the C-reflex can be of additional value. Recent developments in tremor point toward a role for intermuscular coherence analysis to differentiate between tremor subtypes. Classification of the movement disorder based on clinical and electrophysiologic features is important, as it enables the search for an etiological diagnosis and guides tailored treatment.
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Affiliation(s)
- R Zutt
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
| | - J W Elting
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
| | - M A J Tijssen
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands.
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Pitton Rissardo J, Fornari Caprara A. Bupropion-associated movement disorders: A systematic review. ANNALS OF MOVEMENT DISORDERS 2020. [DOI: 10.4103/aomd.aomd_35_19] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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45
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Branchial myorhythmia in a case of systemic lupus erythematosus. J Neurol Sci 2020; 408:116501. [DOI: 10.1016/j.jns.2019.116501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 08/29/2019] [Accepted: 09/17/2019] [Indexed: 11/22/2022]
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46
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Sysoeva OV, Smirnov K, Stroganova TA. Sensory evoked potentials in patients with Rett syndrome through the lens of animal studies: Systematic review. Clin Neurophysiol 2019; 131:213-224. [PMID: 31812082 DOI: 10.1016/j.clinph.2019.11.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 11/07/2019] [Accepted: 11/11/2019] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Systematically review the abnormalities in event related potential (ERP) recorded in Rett Syndrome (RTT) patients and animals in search of translational biomarkers of deficits related to the particular neurophysiological processes of known genetic origin (MECP2 mutations). METHODS Pubmed, ISI Web of Knowledge and BIORXIV were searched for the relevant articles according to PRISMA standards. RESULTS ERP components are generally delayed across all sensory modalities both in RTT patients and its animal model, while findings on ERPs amplitude strongly depend on stimulus properties and presentation rate. Studies on RTT animal models uncovered the abnormalities in the excitatory and inhibitory transmission as critical mechanisms underlying the ERPs changes, but showed that even similar ERP alterations in auditory and visual domains have a diverse neural basis. A range of novel approaches has been developed in animal studies bringing along the meaningful neurophysiological interpretation of ERP measures in RTT patients. CONCLUSIONS While there is a clear evidence for sensory ERPs abnormalities in RTT, to further advance the field there is a need in a large-scale ERP studies with the functionally-relevant experimental paradigms. SIGNIFICANCE The review provides insights into domain-specific neural basis of the ERP abnormalities and promotes clinical application of the ERP measures as the non-invasive functional biomarkers of RTT pathophysiology.
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Affiliation(s)
- Olga V Sysoeva
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York, USA; The Cognitive Neurophysiology Laboratory, Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA; The Laboratory of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia.
| | - Kirill Smirnov
- Department of Neuroontogenesis, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Science, Moscow, Russia.
| | - Tatiana A Stroganova
- Center for Neurocognitive Research (MEG-Center), Moscow State University of Psychology and Education (MSUPE), Moscow, Russia; Autism Research Laboratory, Moscow State University of Psychology and Education (MSUPE), Moscow, Russia.
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Tankisi H, Burke D, Cui L, de Carvalho M, Kuwabara S, Nandedkar SD, Rutkove S, Stålberg E, van Putten MJAM, Fuglsang-Frederiksen A. Standards of instrumentation of EMG. Clin Neurophysiol 2019; 131:243-258. [PMID: 31761717 DOI: 10.1016/j.clinph.2019.07.025] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 07/12/2019] [Accepted: 07/14/2019] [Indexed: 12/14/2022]
Abstract
Standardization of Electromyography (EMG) instrumentation is of particular importance to ensure high quality recordings. This consensus report on "Standards of Instrumentation of EMG" is an update and extension of the earlier IFCN Guidelines published in 1999. First, a panel of experts in different fields from different geographical distributions was invited to submit a section on their particular interest and expertise. Then, the merged document was circulated for comments and edits until a consensus emerged. The first sections in this document cover technical aspects such as instrumentation, EMG hardware and software including amplifiers and filters, digital signal analysis and instrumentation settings. Other sections cover the topics such as temporary storage, trigger and delay line, averaging, electrode types, stimulation techniques for optimal and standardised EMG examinations, and the artefacts electromyographers may face and safety rules they should follow. Finally, storage of data and databases, report generators and external communication are summarized.
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Affiliation(s)
- Hatice Tankisi
- Department of Clinical Neurophysiology, Aarhus University Hospital & Dept of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - David Burke
- Royal Prince Alfred Hospital and University of Sydney, Australia
| | - Liying Cui
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Mamede de Carvalho
- Faculdade de Medicina-iMM, Universidade de Lisboa, Lisbon, Portugal; Department of Neurosciences, Centro Hospitalar Universitário de Lisboa, Portugal
| | - Satoshi Kuwabara
- Department of Neurology, Graduate School of Medicine, Chiba University, Japan
| | | | | | - Erik Stålberg
- Department Clin Neurophysiology, Inst Neurosciences, Uppsala University, Sweden
| | | | - Anders Fuglsang-Frederiksen
- Department of Clinical Neurophysiology, Aarhus University Hospital & Dept of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Ferlazzo E, Trenite DKN, Haan GJD, Felix Nitschke F, Ahonen S, Gasparini S, Minassian BA. Update on Pharmacological Treatment of Progressive Myoclonus Epilepsies. Curr Pharm Des 2019; 23:5662-5666. [PMID: 28799509 DOI: 10.2174/1381612823666170809114654] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 08/03/2017] [Indexed: 11/22/2022]
Abstract
BACKGROUND Progressive myoclonus epilepsies (PMEs) are a group of rare inherited diseases featuring a combination of myoclonus, seizures and variable degree of cognitive impairment. Despite extensive investigations, a large number of PMEs remain undiagnosed. In this review, we focus on the current pharmacological approach to PMEs. METHODS References were mainly identified through PubMed search until February 2017 and backtracking of references in pertinent studies. RESULTS The majority of available data on the efficacy of antiepileptic medications in PMEs are primarily anecdotal or observational, based on individual responses in small series. Valproic acid is the drug of choice, except for PMEs due to mitochondrial diseases. Levetiracetam and clonazepam should be considered as the first add-on treatment. Zonisamide and perampanel represent promising alternatives. Phenobarbital and primidone should be reserved to patients with resistant disabling myoclonus or seizures. Lamotrigine should be used with caution due to its unpredictable effect on myoclonus. Avoidance of drugs known to aggravate myoclonus and seizures, such as carbamazepine and phenytoin, is paramount. Psychiatric (in particular depression) and other comorbidities need to be adequately managed. Although a 3- to 4-drug regimen is often necessary to control seizures and myoclonus, particular care should be paid to avoid excessive pharmacological load and neurotoxic side effects. Target therapy is possible only for a minority of PMEs. CONCLUSIONS Overall, the treatment of PMEs remains symptomatic (i.e. pharmacological treatment of seizures and myoclonus). Further dissection of the genetic background of the different PMEs might hopefully help in the future with individualised treatment options.
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Affiliation(s)
- Edoardo Ferlazzo
- Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.,Regional Epilepsy Centre, Bianchi-Melacrino-Morelli Hospital, Reggio Calabria, Italy
| | | | - Gerrit-Jan de Haan
- Stichting Epilepsie Instellingen Nederland (SEIN) Heemstede, Netherlands
| | - Felix Felix Nitschke
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Saija Ahonen
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Sara Gasparini
- Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.,Regional Epilepsy Centre, Bianchi-Melacrino-Morelli Hospital, Reggio Calabria, Italy
| | - Berge A Minassian
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Department of Pediatrics (Neurology), University of Texas Southwestern, Dallas Texas, USA
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Zierz CM, Baty K, Blakely EL, Hopton S, Falkous G, Schaefer AM, Hadjivassiliou M, Sarrigiannis PG, Ng YS, Taylor RW. A Novel Pathogenic Variant in MT-CO2 Causes an Isolated Mitochondrial Complex IV Deficiency and Late-Onset Cerebellar Ataxia. J Clin Med 2019; 8:jcm8060789. [PMID: 31167410 PMCID: PMC6617079 DOI: 10.3390/jcm8060789] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 05/28/2019] [Accepted: 05/30/2019] [Indexed: 01/03/2023] Open
Abstract
Both nuclear and mitochondrial DNA defects can cause isolated cytochrome c oxidase (COX; complex IV) deficiency, leading to the development of the mitochondrial disease. We report a 52-year-old female patient who presented with a late-onset, progressive cerebellar ataxia, tremor and axonal neuropathy. No family history of neurological disorder was reported. Although her muscle biopsy demonstrated a significant COX deficiency, there was no clinical and electromyographical evidence of myopathy. Electrophysiological studies identified low frequency sinusoidal postural tremor at 3 Hz, corroborating the clinical finding of cerebellar dysfunction. Complete sequencing of the mitochondrial DNA genome in muscle identified a novel MT-CO2 variant, m.8163A>G predicting p.(Tyr193Cys). We present several lines of evidence, in proving the pathogenicity of this heteroplasmic mitochondrial DNA variant, as the cause of her clinical presentation. Our findings serve as an important reminder that full mitochondrial DNA analysis should be included in the diagnostic pipeline for investigating individuals with spinocerebellar ataxia.
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Affiliation(s)
- Charlotte M Zierz
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
| | - Karen Baty
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
- NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE2 4HH, UK.
| | - Emma L Blakely
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
- NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE2 4HH, UK.
| | - Sila Hopton
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
- NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE2 4HH, UK.
| | - Gavin Falkous
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
- NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE2 4HH, UK.
| | - Andrew M Schaefer
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
- Department of Neurology, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE1 4LP, UK.
| | - Marios Hadjivassiliou
- Academic Directorate of Neurosciences, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield S10 2JF, UK.
| | - Ptolemaios G Sarrigiannis
- Academic Directorate of Neurosciences, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield S10 2JF, UK.
- Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield S10 2JF, UK.
| | - Yi Shiau Ng
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
- Department of Neurology, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE1 4LP, UK.
| | - Robert W Taylor
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
- NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE2 4HH, UK.
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Sarrigiannis PG, Zis P, Unwin ZC, Blackburn DJ, Hoggard N, Zhao Y, Billings SA, Khan AA, Yianni J, Hadjivassiliou M. Tremor after long term lithium treatment; is it cortical myoclonus? CEREBELLUM & ATAXIAS 2019; 6:5. [PMID: 31143451 PMCID: PMC6532190 DOI: 10.1186/s40673-019-0100-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 05/07/2019] [Indexed: 12/23/2022]
Abstract
Introduction Tremor is a common side effect of treatment with lithium. Its characteristics can vary and when less rhythmical, distinction from myoclonus can be difficult. Methods We identified 8 patients on long-term treatment with lithium that developed upper limb tremor. All patients were assessed clinically and electrophysiologically, with jerk-locked averaging (JLA) and cross-correlation (CC) analysis, and five of them underwent brain MRI examination including spectroscopy (MRS) of the cerebellum. Results Seven patients (6 female) had action and postural myoclonus and one a regular postural and kinetic tremor that persisted at rest. Mean age at presentation was 58 years (range 42-77) after lengthy exposure to lithium (range 7-40 years). During routine monitoring all patients had lithium levels within the recommended therapeutic range (0.4-1 mmol/l). There was clinical and/or radiological evidence (on cerebellar MRS) of cerebellar dysfunction in 6 patients. JLA and/or CC suggested a cortical generator of the myoclonus in seven patients. All seven were on antidepressants and three additionally on neuroleptics, four of them had gluten sensitivity and two reported alcohol abuse. Conclusions A synergistic effect of different factors appears to be contributing to the development of cortical myoclonus after chronic exposure to lithium. We hypothesise that the cerebellum is involved in the generation of cortical myoclonus in these cases and factors aetiologically linked to cerebellar pathology like gluten sensitivity and alcohol abuse may play a role in the development of myoclonus. Despite the very limited evidence in the literature, lithium induced cortical myoclonus may not be so rare.
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Affiliation(s)
- Ptolemaios Georgios Sarrigiannis
- 1Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Floor N., Sheffield, UK
| | - Panagiotis Zis
- 1Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Floor N., Sheffield, UK
| | - Zoe Charlotte Unwin
- 1Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Floor N., Sheffield, UK
| | - Daniel J Blackburn
- 2Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Nigel Hoggard
- 3Department of Neuroradiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Yifan Zhao
- 4Through-life Engineering Services Centre, Cranfield University, Bedford, MK43 0AL UK
| | - Stephen A Billings
- 5Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, Sheffield, UK
| | - Aijaz A Khan
- 2Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - John Yianni
- 6Department of Neurosurgery, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Marios Hadjivassiliou
- 2Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
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