Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2025.02.011
H. Tankisi , K. Pugdahl , B. Johnsen , J.P. Camdessanché , M. de Carvalho , P. Fawcett , A. Labarre-Vila , R. Liguori , W. Nix , I. Schofield , A. Fuglsang-Frederiksen
Objective
Electrodiagnostic testing plays an important role in diagnosing disorders of neuromuscular transmission (NMT), especially in seronegative myasthenia gravis. However, electrodiagnostic criteria for the diagnosis are sparse. This study aimed at inferring evidence-based recommendations for the electrodiagnostic examination of NMT disorders.
Methods
A total of 164 cases with a consensus diagnosis of NMT disorder obtained by peer review by eight experienced neurophysiologists were analysed for differences in examination strategy, the sensitivity of different tests, and inferring minimal criteria. The diagnostic performance of the suggested criteria was validated on 24 MG patients and 50 patients with neuropathy (17), myopathy (15), or fatigue (18).
Results
We recommend as minimal electrodiagnostic criteria for NMT disorders, either (a) 2 abnormal repetitive nerve stimulation (RNS), (b) 1 abnormal RNS and 1 abnormal single fiber electromyography (SFEMG) or (c) 2 abnormal SFEMG. These showed a good diagnostic performance with a sensitivity of 87.5 % and a specificity of 100 %.
Conclusion
Recommendations with high diagnostic sensitivity and specificity for the minimum number of RNS and SFEMG studies to diagnose NMT disorders developed by an international consensus group are suggested.
Significance
The suggested electrodiagnostic recommendations for diagnosing NMT disorders are reliable and suitable for use at different centres.
{"title":"Electrodiagnostic criteria for neuromuscular transmission disorders suggested by a European consensus group","authors":"H. Tankisi , K. Pugdahl , B. Johnsen , J.P. Camdessanché , M. de Carvalho , P. Fawcett , A. Labarre-Vila , R. Liguori , W. Nix , I. Schofield , A. Fuglsang-Frederiksen","doi":"10.1016/j.cnp.2025.02.011","DOIUrl":"10.1016/j.cnp.2025.02.011","url":null,"abstract":"<div><h3>Objective</h3><div>Electrodiagnostic testing plays an important role in diagnosing disorders of neuromuscular transmission (NMT), especially in seronegative myasthenia gravis. However, electrodiagnostic criteria for the diagnosis are sparse. This study aimed at inferring evidence-based recommendations for the electrodiagnostic examination of NMT disorders.</div></div><div><h3>Methods</h3><div>A total of 164 cases with a consensus diagnosis of NMT disorder obtained by peer review by eight experienced neurophysiologists were analysed for differences in examination strategy, the sensitivity of different tests, and inferring minimal criteria. The diagnostic performance of the suggested criteria was validated on 24 MG patients and 50 patients with neuropathy (17), myopathy (15), or fatigue (18).</div></div><div><h3>Results</h3><div>We recommend as minimal electrodiagnostic criteria for NMT disorders, either (a) 2 abnormal repetitive nerve stimulation (RNS), (b) 1 abnormal RNS and 1 abnormal single fiber electromyography (SFEMG) or (c) 2 abnormal SFEMG. These showed a good diagnostic performance with a sensitivity of 87.5 % and a specificity of 100 %.</div></div><div><h3>Conclusion</h3><div>Recommendations with high diagnostic sensitivity and specificity for the minimum number of RNS and SFEMG studies to diagnose NMT disorders developed by an international consensus group are suggested.</div></div><div><h3>Significance</h3><div>The suggested electrodiagnostic recommendations for diagnosing NMT disorders are reliable and suitable for use at different centres.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 79-83"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The staircase phenomenon, which refers to the increases in the force of contraction with repetitive stimulation of the muscle, has been studied for many years, but the method is difficult and not widely used. Our objective was to evaluate the staircase phenomenon in skeletal muscle using a piezoelectric sensor.
Methods
Thirty-five subjects without neuromuscular diseases (normal controls), 11 patients with Becker muscular dystrophy (BMD), and 19 patients with myotonic dystrophy type 1 (MyD) were studied. Compound muscle action potential (CMAP) and movement-related potential (MRP) waveforms were recorded using piezoelectric sensors during repetitive stimulation of the median nerve, and the amplitudes and durations were measured. Excitation-contraction (E-C) coupling time (ECCT) was calculated from the difference between onset latencies of CMAP and MRP.
Results
In normal controls, MRP amplitude ratio (relative to baseline) increased significantly with increase in stimulation duration and with increase in stimulation frequency. In BMD and MyD, however, MRP amplitude ratio did not change significantly with increase in stimulation duration. Especially, in MyD, there was no change in MRP amplitude ratio with increase in frequency.
Conclusion
Staircase phenomenon abnormalities can be evaluated easily using piezoelectric sensors, indicating their potential utility for evaluating E-C coupling impairment in myopathies.
Significance
Piezoelectric sensors may be a useful tool to evaluate staircase phenomenon in skeletal muscle.
{"title":"A new method to evaluate staircase phenomenon in skeletal muscle using piezoelectric sensor","authors":"Bungo Hirose , Tomihiro Imai , Kazuna Ikeda , Emiko Tsuda , Rika Yamauchi , Tatsuya Abe , Shin Hisahara","doi":"10.1016/j.cnp.2024.12.002","DOIUrl":"10.1016/j.cnp.2024.12.002","url":null,"abstract":"<div><h3>Objective</h3><div>The staircase phenomenon, which refers to the increases in the force of contraction with repetitive stimulation of the muscle, has been studied for many years, but the method is difficult and not widely used. Our objective was to evaluate the staircase phenomenon in skeletal muscle using a piezoelectric sensor.</div></div><div><h3>Methods</h3><div>Thirty-five subjects without neuromuscular diseases (normal controls), 11 patients with Becker muscular dystrophy (BMD), and 19 patients with myotonic dystrophy type 1 (MyD) were studied. Compound muscle action potential (CMAP) and movement-related potential (MRP) waveforms were recorded using piezoelectric sensors during repetitive stimulation of the median nerve, and the amplitudes and durations were measured. Excitation-contraction (E-C) coupling time (ECCT) was calculated from the difference between onset latencies of CMAP and MRP.</div></div><div><h3>Results</h3><div>In normal controls, MRP amplitude ratio (relative to baseline) increased significantly with increase in stimulation duration and with increase in stimulation frequency. In BMD and MyD, however, MRP amplitude ratio did not change significantly with increase in stimulation duration. Especially, in MyD, there was no change in MRP amplitude ratio with increase in frequency.</div></div><div><h3>Conclusion</h3><div>Staircase phenomenon abnormalities can be evaluated easily using piezoelectric sensors, indicating their potential utility for evaluating E-C coupling impairment in myopathies.</div></div><div><h3>Significance</h3><div>Piezoelectric sensors may be a useful tool to evaluate staircase phenomenon in skeletal muscle.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 1-9"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11730597/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143013341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2025.01.001
Asbjoern W. Helge , Federico G. Arguissain , Lukas Lechner , Gerhard Gritsch , Jonas Duun-Henriksen , Esben Ahrens , Tilmann Kluge , Manfred Hartmann
Objective
There is an unmet need in epilepsy management for tools that measure sleep objectively over long timespans. Subcutaneous EEG is well-suited for the task, but it requires a reliable automatic algorithm. Here, we present and evaluate such an algorithm, and we show clinical examples of how it produces important information.
Methods
A mix of scalp EEG and subcutaneous EEG was used to develop an algorithm to output sleep stages and common sleep parameters. The algorithm was tested on unseen data from 11 healthy subject and 12 people with epilepsy (PwE). Lastly, data (>3months) from three exemplary PwE were analyzed for sleep.
Results
The algorithm proved non-inferior at sleep stage segmentation on data from PwE compared to human raters using scalp EEG. It reached a Cohen’s kappa score of 0.8 [CI 0.78 – 0.83] on healthy subjects and on data from PwE it got to 0.705 [CI 0.663–––0.744] against rater D and 0.686 [CI 0.632–––0.739] against rater E. The three examples showed that useful information can be gained from longitudinal sleep analysis.
Conclusion
Subcutaneous EEG and a sleep algorithm can be employed to effectively review sleep in PwE at a level that is non-inferior compared to human raters.
Significance
This has the potential to make objective sleep parameters available in the clinic as a valuable addition to subjective sleep assessments.
{"title":"Longitudinal, EEG-based assessment of sleep in people with epilepsy: An automated sleep staging algorithm non-inferior to human raters","authors":"Asbjoern W. Helge , Federico G. Arguissain , Lukas Lechner , Gerhard Gritsch , Jonas Duun-Henriksen , Esben Ahrens , Tilmann Kluge , Manfred Hartmann","doi":"10.1016/j.cnp.2025.01.001","DOIUrl":"10.1016/j.cnp.2025.01.001","url":null,"abstract":"<div><h3>Objective</h3><div>There is an unmet need in epilepsy management for tools that measure sleep objectively over long timespans. Subcutaneous EEG is well-suited for the task, but it requires a reliable automatic algorithm. Here, we present and evaluate such an algorithm, and we show clinical examples of how it produces important information.</div></div><div><h3>Methods</h3><div>A mix of scalp EEG and subcutaneous EEG was used to develop an algorithm to output sleep stages and common sleep parameters. The algorithm was tested on unseen data from 11 healthy subject and 12 people with epilepsy (PwE). Lastly, data (>3months) from three exemplary PwE were analyzed for sleep.</div></div><div><h3>Results</h3><div>The algorithm proved non-inferior at sleep stage segmentation on data from PwE compared to human raters using scalp EEG. It reached a Cohen’s kappa score of 0.8 [CI 0.78 – 0.83] on healthy subjects and on data from PwE it got to 0.705 [CI 0.663–––0.744] against rater D and 0.686 [CI 0.632–––0.739] against rater E. The three examples showed that useful information can be gained from longitudinal sleep analysis.</div></div><div><h3>Conclusion</h3><div>Subcutaneous EEG and a sleep algorithm can be employed to effectively review sleep in PwE at a level that is non-inferior compared to human raters.</div></div><div><h3>Significance</h3><div>This has the potential to make objective sleep parameters available in the clinic as a valuable addition to subjective sleep assessments.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 30-39"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2025.02.006
Bayron A. Sandoval-Bonilla , Isela Valverde Luna , Aleida Arritola-Uriarte , Daniel San-Juan , Ricardo García-Iturbide , Alma Edith Gress Mendoza , Lorely Cumplido Pulido , Lizzette Hinojosa González , Alfredo Lara Bahena , Maria F. De la Cerda Vargas
Objective
To demonstrate the feasibility and safety of awake craniotomy (AC) with intraoperative neurophysiological monitoring (IONM) for glioblastoma (GB) resection in a pregnant patient, ensuring preservation of neurological functions and fetal well-being.
Methods
A 27-year-old gravida 2, para 1 woman presented at 19.4 weeks of pregnancy with severe headaches and a generalized tonic-clonic seizure. Imaging confirmed a malignant glioma, and an interdisciplinary team opted for AC with IONM to achieve maximal tumor resection while minimizing maternal and fetal risks.
Results
Surgery was performed during the second trimester with successful gross total resection of the tumor. IONM strategies preserved neurological function, and fetal well-being was maintained. Postoperative evaluations showed no complications, and the patient was discharged in improved condition.
Conclusions
AC with IONM is a viable and safe surgical approach for GB resection during pregnancy. Tailoring the surgical plan by considering gestational age, maternal health, and fetal safety is crucial.
Significance
This case highlights the importance of multidisciplinary management in optimizing outcomes for pregnant patients with GB, contributing valuable insights to the limited literature on neurosurgical interventions during pregnancy.
{"title":"Intraoperative monitoring during awake craniotomy for glioblastoma resection in the second trimester of pregnancy. A case report and literature review","authors":"Bayron A. Sandoval-Bonilla , Isela Valverde Luna , Aleida Arritola-Uriarte , Daniel San-Juan , Ricardo García-Iturbide , Alma Edith Gress Mendoza , Lorely Cumplido Pulido , Lizzette Hinojosa González , Alfredo Lara Bahena , Maria F. De la Cerda Vargas","doi":"10.1016/j.cnp.2025.02.006","DOIUrl":"10.1016/j.cnp.2025.02.006","url":null,"abstract":"<div><h3>Objective</h3><div>To demonstrate the feasibility and safety of awake craniotomy (AC) with intraoperative neurophysiological monitoring (IONM) for glioblastoma (GB) resection in a pregnant patient, ensuring preservation of neurological functions and fetal well-being.</div></div><div><h3>Methods</h3><div>A 27-year-old gravida 2, para 1 woman presented at 19.4 weeks of pregnancy with severe headaches and a generalized tonic-clonic seizure. Imaging confirmed a malignant glioma, and an interdisciplinary team opted for AC with IONM to achieve maximal tumor resection while minimizing maternal and fetal risks.</div></div><div><h3>Results</h3><div>Surgery was performed during the second trimester with successful gross total resection of the tumor. IONM strategies preserved neurological function, and fetal well-being was maintained. Postoperative evaluations showed no complications, and the patient was discharged in improved condition.</div></div><div><h3>Conclusions</h3><div>AC with IONM is a viable and safe surgical approach for GB resection during pregnancy. Tailoring the surgical plan by considering gestational age, maternal health, and fetal safety is crucial.</div></div><div><h3>Significance</h3><div>This case highlights the importance of multidisciplinary management in optimizing outcomes for pregnant patients with GB, contributing valuable insights to the limited literature on neurosurgical interventions during pregnancy.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 63-69"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2025.02.012
Fridha V. Villalpando-Vargas , Fabrizio A. Mortola , Juan C. Barrera de León , Tania P. Sánchez-Murguía , Ilse M. Mora-Rodríguez , Jonathan A. Cisneros-Orozco , Andrea Enríquez-Zaragoza , Karla López-Jiménez , Alioth Guerrero-Aranda
Objective
Epilepsy Monitoring Units (EMUs) play a critical role in epilepsy management, yet they remain scarce in resource-limited settings. This study presents a 2-year experience of a newly implemented EMU in Mexico, evaluating its clinical impact, procedural metrics, and challenges. Methods: This retrospective study included 117 patients admitted to the EMU of a private hospital in central-western Mexico between February 2023 and December 2024. Patients underwent tailored protocols for long-term video-EEG monitoring for diagnostic clarification, treatment optimization, or presurgical evaluation. Diagnostic and therapeutic outcomes, seizure yield, and safety metrics were described. Results: The EMU facilitated diagnostic changes in 59% of patients, with 80.3% undergoing treatment modifications. Among presurgical evaluation patients, 80.8% exhibited seizures during admission. Seventy-two percent of patients achieved a favorable seizure outcome at one-year follow-up. Twelve patients underwent epilepsy surgery, with resective procedures being the most common. Status epilepticus and seizure clusters, occurred in 2.5% and 0.8% of patients, respectively. Conclusion: The implementation of a high-quality EMU is achievable in resource-limited settings. Significance: This study highlights the importance of tailored protocols and multidisciplinary collaboration, providing a practical framework enhancing epilepsy care and bridging gaps in epilepsy management in underserved regions.
{"title":"Two-year experience of a newly established epilepsy monitoring unit in a resource-limited setting","authors":"Fridha V. Villalpando-Vargas , Fabrizio A. Mortola , Juan C. Barrera de León , Tania P. Sánchez-Murguía , Ilse M. Mora-Rodríguez , Jonathan A. Cisneros-Orozco , Andrea Enríquez-Zaragoza , Karla López-Jiménez , Alioth Guerrero-Aranda","doi":"10.1016/j.cnp.2025.02.012","DOIUrl":"10.1016/j.cnp.2025.02.012","url":null,"abstract":"<div><h3>Objective</h3><div>Epilepsy Monitoring Units (EMUs) play a critical role in epilepsy management, yet they remain scarce in resource-limited settings. This study presents a 2-year experience of a newly implemented EMU in Mexico, evaluating its clinical impact, procedural metrics, and challenges. <em>Methods</em><strong>:</strong> This retrospective study included 117 patients admitted to the EMU of a private hospital in central-western Mexico between February 2023 and December 2024. Patients underwent tailored protocols for long-term video-EEG monitoring for diagnostic clarification, treatment optimization, or presurgical evaluation. Diagnostic and therapeutic outcomes, seizure yield, and safety metrics were described. <em>Results</em><strong>:</strong> The EMU facilitated diagnostic changes in 59% of patients, with 80.3% undergoing treatment modifications. Among presurgical evaluation patients, 80.8% exhibited seizures during admission. Seventy-two percent of patients achieved a favorable seizure outcome at one-year follow-up. Twelve patients underwent epilepsy surgery, with resective procedures being the most common. Status epilepticus and seizure clusters, occurred in 2.5% and 0.8% of patients, respectively. <em>Conclusion</em><strong>:</strong> The implementation of a high-quality EMU is achievable in resource-limited settings. <em>Significance</em>: This study highlights the importance of tailored protocols and multidisciplinary collaboration, providing a practical framework enhancing epilepsy care and bridging gaps in epilepsy management in underserved regions.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 84-89"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2025.03.001
Elina Linnavuori , Irina Virtanen , Minna Stolt
Objective
To describe the EEG competence of healthcare professionals and how this competence has been measured in previous literature.
Methods
A systematic review following the preferred Reporting Items for Systematic Reviews and Meta-Analyses. A literature search was conducted in CINAHL, PubMed, Scopus, and Web of Science databases focusing on studies that empirically examined the EEG competence of healthcare professionals.
Results
A total of 28 studies were included. EEG competence consists of two main categories: knowledge and skills of EEG, and attitudes and values towards EEG. The EEG competence of healthcare professionals was assessed in three different settings: tests, simulations, and real life. The data collection methods were knowledge tests, self-assessments, and observations. The tools were developed by a researcher(s) for the single study and were not psychometrically tested.
Conclusion
EEG competence is a multidimensional concept that includes knowledge, skills, attitudes, and values that need to be considered when defining EEG competence and developing tools to measure it.
Significance
This systematic review provides information to the educators of healthcare professionals and healthcare organizations involved in developing comprehensive EEG training programs and assessments to foster professional development and ensure reliable diagnostic test results for patients.
{"title":"Competence of healthcare professionals performing electroencephalography test: A systematic review","authors":"Elina Linnavuori , Irina Virtanen , Minna Stolt","doi":"10.1016/j.cnp.2025.03.001","DOIUrl":"10.1016/j.cnp.2025.03.001","url":null,"abstract":"<div><h3>Objective</h3><div>To describe the EEG competence of healthcare professionals and how this competence has been measured in previous literature.</div></div><div><h3>Methods</h3><div>A systematic review following the preferred Reporting Items for Systematic Reviews and Meta-Analyses. A literature search was conducted in CINAHL, PubMed, Scopus, and Web of Science databases focusing on studies that empirically examined the EEG competence of healthcare professionals.</div></div><div><h3>Results</h3><div>A total of 28 studies were included. EEG competence consists of two main categories: knowledge and skills of EEG, and attitudes and values towards EEG. The EEG competence of healthcare professionals was assessed in three different settings: tests, simulations, and real life. The data collection methods were knowledge tests, self-assessments, and observations. The tools were developed by a researcher(s) for the single study and were not psychometrically tested.</div></div><div><h3>Conclusion</h3><div>EEG competence is a multidimensional concept that includes knowledge, skills, attitudes, and values that need to be considered when defining EEG competence and developing tools to measure it.</div></div><div><h3>Significance</h3><div>This systematic review provides information to the educators of healthcare professionals and healthcare organizations involved in developing comprehensive EEG training programs and assessments to foster professional development and ensure reliable diagnostic test results for patients.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 104-115"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2025.02.002
Zsuzsanna Szankai , Egle Huggenberger , Christoph Metzler , Christian Musahl , Markus Gschwind
Background
According to the recommendations of the International League against Epilepsy, a timely workup with a brain MRI is recommended after a first epileptic seizure. However, if the MRI is unrevealing, it is normally not repeated.
Case Presentation
We present a patient with an unprovoked epileptic seizure and only slight focal abnormalities in the EEG and a normal brain MRI. Only 35 days later, after a third seizure and now a focally pathological EEG, we repeated the brain MRI and discovered a large mass in the left temporal lobe, which was resected and histologically classified as glioblastoma multiforme.
Conclusion
This case of a very fast-growing tumor suggests that recurrent seizures, with or without anti-seizure medications, or new changes in the EEG should prompt the clinician to consider a repeat brain MRI, even if the first scan was normal.
{"title":"Within five weeks: Rapidly grown glioblastoma discovered on repeat MRI after pathologic EEG","authors":"Zsuzsanna Szankai , Egle Huggenberger , Christoph Metzler , Christian Musahl , Markus Gschwind","doi":"10.1016/j.cnp.2025.02.002","DOIUrl":"10.1016/j.cnp.2025.02.002","url":null,"abstract":"<div><h3>Background</h3><div>According to the recommendations of the International League against Epilepsy, a timely workup with a brain MRI is recommended after a first epileptic seizure. However, if the MRI is unrevealing, it is normally not repeated.</div></div><div><h3>Case Presentation</h3><div>We present a patient with an unprovoked epileptic seizure and only slight focal abnormalities in the EEG and a normal brain MRI. Only 35 days later, after a third seizure and now a focally pathological EEG, we repeated the brain MRI and discovered a large mass in the left temporal lobe, which was resected and histologically classified as glioblastoma multiforme.</div></div><div><h3>Conclusion</h3><div>This case of a very fast-growing tumor suggests that recurrent seizures, with or without anti-seizure medications, or new changes in the EEG should prompt the clinician to consider a repeat brain MRI, even if the first scan was normal.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 52-55"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2025.02.001
Jee-Eun Kim , Jun-Soon Kim , Sejin Yang , Jongsuk Choi , Seung-Jae Hyun , Ki-Jeong Kim , Kyung Seok Park
{"title":"Corrigendum to “Neurophysiological monitoring during anterior cervical discectomy and fusion for ossification of the posterior longitudinal ligament” [Clin. Neurophysiol. Pract. 6 (2021) 56–62]","authors":"Jee-Eun Kim , Jun-Soon Kim , Sejin Yang , Jongsuk Choi , Seung-Jae Hyun , Ki-Jeong Kim , Kyung Seok Park","doi":"10.1016/j.cnp.2025.02.001","DOIUrl":"10.1016/j.cnp.2025.02.001","url":null,"abstract":"","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Page 78"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2025.02.010
Scarpino Maenia , Verna Maria Teresa , Grippo Antonello , Lolli Francesco , Piccardi Benedetta , Nazerian Peiman , Nencini Patrizia , Boccardi Cristina , Nencioni Andrea
Objectives
To investigate the utility of the emergency electroencephalogram(emEEG) in the diagnostic work-up of patients admitted to the Emergency Department(ED).
Methods
Data from consecutive patients admitted to the ED during a 1-year period. We evaluated the usefulness of emEEGs based on the subsequent patient clinical management.
Results
1125 emEEGs from 1018 patients were analyzed. The overall usefulness of an emEEG was 86.7%, mainly influenced by its contribution to diagnosis(75.0%), often excluding initial working diagnosis(50.0%), and to patient management(78.0%). EmEEGs showed their best overall usefulness in Status Epilepticus(SE) and altered level of consciousness both in contributing to the final diagnosis and in patient management and therapeutic pathway. In speech and cognitive/behavioural disorders, emEEGs contributed to the diagnosis(80.6% and 79.8%, respectively), often excluding the initial suspicion of seizures/SE. Normal emEEGs contributed to diagnosis(79.0%), patient management(87.0%) and discharge to home(82.0%).
Conclusions
In ED, attending physicians have to make quick decisions about the diagnostic–therapeutic management of patients, and also the ruling out of the initial diagnosis and safely discharging the patient to home are also important goals.
Significance
This study provides valuable guidance to ED clinicians in selecting patients for an emEEG and evaluates its contribution to their diagnostic–therapeutic management.
{"title":"The role of EEG in the emergency department: Its contribution to the patient’s diagnostic–therapeutic pathway. The EMINENCE study","authors":"Scarpino Maenia , Verna Maria Teresa , Grippo Antonello , Lolli Francesco , Piccardi Benedetta , Nazerian Peiman , Nencini Patrizia , Boccardi Cristina , Nencioni Andrea","doi":"10.1016/j.cnp.2025.02.010","DOIUrl":"10.1016/j.cnp.2025.02.010","url":null,"abstract":"<div><h3>Objectives</h3><div>To investigate the utility of the emergency electroencephalogram(emEEG) in the diagnostic work-up of patients admitted to the Emergency Department(ED).</div></div><div><h3>Methods</h3><div>Data from consecutive patients admitted to the ED during a 1-year period. We evaluated the usefulness of emEEGs based on the subsequent patient clinical management.</div></div><div><h3>Results</h3><div>1125 emEEGs from 1018 patients were analyzed. The overall usefulness of an emEEG was 86.7%, mainly influenced by its contribution to diagnosis(75.0%), often excluding initial working diagnosis(50.0%), and to patient management(78.0%). EmEEGs showed their best overall usefulness in Status Epilepticus(SE) and altered level of consciousness both in contributing to the final diagnosis and in patient management and therapeutic pathway. In speech and cognitive/behavioural disorders, emEEGs contributed to the diagnosis(80.6% and 79.8%, respectively), often excluding the initial suspicion of seizures/SE. Normal emEEGs contributed to diagnosis(79.0%), patient management(87.0%) and discharge to home(82.0%).</div></div><div><h3>Conclusions</h3><div>In ED, attending physicians have to make quick decisions about the diagnostic–therapeutic management of patients, and also the ruling out of the initial diagnosis and safely discharging the patient to home are also important goals.</div></div><div><h3>Significance</h3><div>This study provides valuable guidance to ED clinicians in selecting patients for an emEEG and evaluates its contribution to their diagnostic–therapeutic management.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 70-77"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.cnp.2024.12.003
Emily Cheung, Karl Ng
{"title":"Averted weakness from a large Martin-Gruber anastomosis","authors":"Emily Cheung, Karl Ng","doi":"10.1016/j.cnp.2024.12.003","DOIUrl":"10.1016/j.cnp.2024.12.003","url":null,"abstract":"","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 10-11"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743591/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143013344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}