1
|
Hernani R, Aiko M, Victorio R, Benzaquén A, Pérez A, Piñana JL, Hernández-Boluda JC, Amat P, Pastor-Galán I, Remigia MJ, Ferrer-Lores B, Micó M, Carbonell N, Ferreres J, Blasco-Cortés ML, Santonja JM, Dosdá R, Estellés R, Campos S, Martínez-Ciarpaglini C, Ferrández-Izquierdo A, Goterris R, Gómez M, Teruel A, Saus A, Ortiz A, Morello D, Martí E, Carretero C, Calabuig M, Tormo M, Terol MJ, Cases P, Solano C. EEG before chimeric antigen receptor T-cell therapy and early after onset of immune effector cell-associated neurotoxicity syndrome. Clin Neurophysiol 2024; 163:132-142. [PMID: 38733703 DOI: 10.1016/j.clinph.2024.04.014] [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: 12/17/2023] [Revised: 03/24/2024] [Accepted: 04/17/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Immune effector cell-associated neurotoxicity syndrome (ICANS) is common after chimeric antigen receptor T-cell (CAR-T) therapy. OBJECTIVE This study aimed to assess the impact of preinfusion electroencephalography (EEG) abnormalities and EEG findings at ICANS onset for predicting ICANS risk and severity in 56 adult patients with refractory lymphoma undergoing CAR-T therapy. STUDY DESIGN EEGs were conducted at the time of lymphodepleting chemotherapy and shortly after onset of ICANS. RESULTS Twenty-eight (50%) patients developed ICANS at a median time of 6 days after CAR-T infusion. Abnormal preinfusion EEG was identified as a risk factor for severe ICANS (50% vs. 17%, P = 0.036). Following ICANS onset, EEG abnormalities were detected in 89% of patients [encephalopathy (n = 19, 70%) and/or interictal epileptiform discharges (IEDs) (n = 14, 52%)]. Importantly, IEDs seemed to be associated with rapid progression to higher grades of ICANS within 24 h. CONCLUSIONS If confirmed in a large cohort of patients, these findings could establish the basis for modifying current management guidelines, enabling the identification of patients at risk of neurotoxicity, and providing support for preemptive corticosteroid use in patients with both initial grade 1 ICANS and IEDs at neurotoxicity onset, who are at risk of neurological impairment.
Collapse
Affiliation(s)
- Rafael Hernani
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain.
| | - Mika Aiko
- Neurophysiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Ruth Victorio
- Neurophysiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Ana Benzaquén
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Ariadna Pérez
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - José Luis Piñana
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Juan Carlos Hernández-Boluda
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - Paula Amat
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - Irene Pastor-Galán
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - María José Remigia
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Blanca Ferrer-Lores
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Mireia Micó
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Nieves Carbonell
- Intensive Care Unit, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - José Ferreres
- Intensive Care Unit, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | | | - José Miguel Santonja
- Neurology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Rosa Dosdá
- Radiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Rocío Estellés
- Radiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Salvador Campos
- Radiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | | | | | - Rosa Goterris
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Montse Gómez
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Anabel Teruel
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - Ana Saus
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Alfonso Ortiz
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Daniela Morello
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Edel Martí
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Carlos Carretero
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Marisa Calabuig
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Mar Tormo
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - María José Terol
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - Paula Cases
- Neurophysiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Carlos Solano
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| |
Collapse
|
2
|
Ko YJ, Han JH, Cho A, Yoo H, Kim H. Abnormal Electroencephalogram Findings and Its Correlation With Clinical Features From Pediatric Patients in Psychiatric Clinic. Clin EEG Neurosci 2024:15500594241256170. [PMID: 38778758 DOI: 10.1177/15500594241256170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Objective: We aimed to evaluate the occurrence of electroencephalogram (EEG) abnormalities in pediatric patients attending an outpatient psychiatry clinic at a tertiary center. We examined the rates of abnormalities and specific findings based on demographics, specific diagnoses, and clinical severity. Methods: This study included pediatric patients who underwent EEG at the outpatient psychiatry clinic. Patient demographics, psychiatric diagnosis, intellectual disability, intelligent quotient (IQ) score, family history of psychiatric disorders, and Clinical Global Impression-Severity (CGI-S) score were obtained through retrospective electronic health record analysis. The rate of EEG abnormalities was calculated, and specific abnormal findings were reviewed. Relationships between the rate of EEG abnormalities and diagnosis, severity, IQ, and age at EEG examination were analyzed. Results: Of 319 patients who underwent EEG, 21.3% (68 patients) of patients exhibited abnormalities, including background abnormalities (14.7%, 47 patients), interictal epileptiform discharges (IEDs) (10.3%, 33 patients), and a slow posterior dominant rhythm (3.8%, 10 patients). The frontal region was the most commonly affected area. Neurodevelopmental disorders (NDDs) had the most frequent abnormalities (29.8%), followed by anxiety (16.7%), sleep (14.3%), mood (11.7%), psychotic (5%), and conduct disorders (0%). Disease severity did not correlate with the rate of EEG abnormalities. Adjusted for age, sex, severity, and family history, patients with EEG abnormalities exhibited lower IQ scores. Conclusion: EEG abnormalities were common in pediatric patients with psychiatric disorders, with background abnormalities detected as frequently as IEDs. Disease severity was not associated with EEG abnormality, while IQ scores showed a negative correlation.
Collapse
Affiliation(s)
- Young Jun Ko
- Department of Pediatrics, Chung-Ang University Gwangmyeong Hospital, Gwangmyeongsi, Republic of Korea
- Department of Pediatrics, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea
| | - Jae Hyun Han
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea
| | - Anna Cho
- Department of Pediatrics, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea
| | - Heejeong Yoo
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea
| | - Hunmin Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea
| |
Collapse
|
3
|
Kalogeropoulos K, Psarropoulou C. Immature Status Epilepticus Alters the Temporal Relationship between Hippocampal Interictal Epileptiform Discharges and High-frequency Oscillations. Neuroscience 2024; 543:108-120. [PMID: 38401712 DOI: 10.1016/j.neuroscience.2024.02.019] [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: 12/15/2023] [Revised: 02/16/2024] [Accepted: 02/20/2024] [Indexed: 02/26/2024]
Abstract
The aim was to investigate the long-term effects of a single episode of immature Status Epilepticus (SE) on the excitability of the septal and temporal hippocampus in vitro, by studying the relationship between interictal-like epileptiform discharges (IEDs) and high-frequency oscillations (HFOs; Ripples, Rs and Fast Ripples, FRs). A pentylenetetrazol-induced Status Epilepticus-(SE)-like generalized seizure was induced at postnatal day 20 in 22 male and female juvenile rats, sacrificed >40 days later to prepare hippocampal slices. Spontaneous IEDs induced by Mg2+-free ACSF were recorded from the CA3 area of temporal (T) or septal (S) slices. Recordings were band-pass filtered off-line revealing Rs and FRs and a series of measurements were conducted, with mean values compared with those obtained from age-matched controls (CTRs). In CTR S (vs T) slices, we recorded longer R & FR durations, a longer HFO-IED temporal overlap, higher FR peak power and more frequent FR initiation preceding IEDs (% events). Post-SE, in T slices all types of events duration (IED, R, FR) and the time lag between their onsets (R-IED, FR-IED, R-FR) increased, while FR/R peak power decreased; in S slices, the IED 1st population spike and the FR amplitudes, the R and FR peak power and the (percent) events where Rs or FRs preceded IEDs all decreased. The CA3 IED-HFO relationship offers insights to the septal-to-temporal synchronization patterns; its post-juvenile-SE changes indicate permanent modifications in the septotemporal excitability gradient. Moreover, these findings are in line to region-specific regulation of various currents post-SE, as reported in literature.
Collapse
Affiliation(s)
- Konstantinos Kalogeropoulos
- Laboratory of Animal and Human Physiology, Department of Biological Applications and Technology, Faculty of Health Sciences, University of Ioannina, 45110, Greece.
| | - Caterina Psarropoulou
- Laboratory of Animal and Human Physiology, Department of Biological Applications and Technology, Faculty of Health Sciences, University of Ioannina, 45110, Greece.
| |
Collapse
|
4
|
Aschner A, Kowal C, Arski O, Crispo JAG, Farhat N, Donner E. Prevalence of epileptiform electroencephalographic abnormalities in people without a history of seizures: A systematic review and meta-analysis. Epilepsia 2024; 65:583-599. [PMID: 38101821 DOI: 10.1111/epi.17864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/12/2023] [Accepted: 12/12/2023] [Indexed: 12/17/2023]
Abstract
Abnormal patterns identified on electroencephalogram (EEG) are one of the primary diagnostic tests for epilepsy. However, epidemiological studies have established that both benign and epileptiform abnormalities (EAs) occur on the EEG of nonepileptic, seizure-free people as well. The reported rates of EAs in nonepileptic, seizure-free populations vary, and the true prevalence is unknown. The primary objective of this systematic review and meta-analysis was to estimate the overall prevalence of EAs in the EEG of people without a history of seizures. Secondary aims were to characterize (1) the cortical localization of focal abnormalities, (2) the proportion of findings that occurred during standard EEG stimulation protocols, and (3) the persistence and implications of abnormalities at follow-up. A comprehensive electronic search of six bibliographic databases was completed: Embase, MEDLINE, PsycInfo, Cumulative Index of Nursing and Allied Health Literature, Cochrane Central Register for Controlled Trials, and Web of Science. No search date restrictions were applied. Overall effect size was calculated using a generalized linear mixed-effects model. Fifty-three studies, totaling 73 990 individuals, met our inclusion criteria. The overall point prevalence of EAs was 1.74% (95% confidence interval [CI] = 1.13-2.67). Due to the risk of bias in the literature, especially from participant selection, we believe this to be an overestimate of the true prevalence. Prevalence of EAs was greater in children (2.45%, 95% CI = 1.41-4.21) and the elderly (5.96%, 95% CI = 1.39-22.13) compared with adults (.93%, 95% CI = .48-1.80). Reports of developing epilepsy after an EA-positive EEG were rare. The likelihood of subsequent positive findings on follow-up EEG may be as high as 50%. Our study has limitations in that males were overrepresented in the study samples, there is substantial heterogeneity among studies, and many studies provided insufficient detail about their exclusion criteria. Nonetheless, our estimates provide benchmark data for future studies examining EAs in clinical populations, particularly behavioral and psychiatric populations.
Collapse
Affiliation(s)
- Amir Aschner
- Division of Neurology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Christine Kowal
- Division of Neurology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Olivia Arski
- Division of Neurology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - James A G Crispo
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- Human Sciences Division, Northern Ontario School of Medicine University, Sudbury, Ontario, Canada
- TruEffect, Sudbury, Ontario, Canada
| | - Nawal Farhat
- TruEffect, Sudbury, Ontario, Canada
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | - Elizabeth Donner
- Division of Neurology, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
5
|
Salpekar JA. Ripples of Hyperexcitability in Epilepsy, Autism, and Inattention. Epilepsy Curr 2023; 23:97-98. [PMID: 37122401 PMCID: PMC10131567 DOI: 10.1177/15357597221147351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
The Association Between Early Childhood Onset Epilepsy and Attention-Deficit Hyperactivity Disorder (ADHD) in 3237 Children and Adolescents With Autism Spectrum Disorder (ASD): A Historical Longitudinal Cohort Data Linkage Study Carson L, Parlatini V, Safa T, Baig B, Shetty H, Phillips-Owen J, Prasad V, Downs J. Eur Child Adolesc Psychiatry. 2022. doi:10.1007/s00787-022-02041-3 Children and young people with Autism Spectrum Disorder (ASD) have an increased risk of comorbidities, such as epilepsy and Attention-Deficit/Hyperactivity Disorder (ADHD). However, little is known about the relationship between early childhood epilepsy (below age 7) and later ADHD diagnosis (at age 7 or above) in ASD. In this historical cohort study, we examined this relationship using an innovative data source, which included linked data from routinely collected acute hospital paediatric records and childhood community and inpatient psychiatric records. In a large sample of children and young people with ASD (N = 3237), we conducted a longitudinal analysis to examine early childhood epilepsy as a risk factor for ADHD diagnosis while adjusting for potential confounders, including socio-demographic characteristics, intellectual disability, family history of epilepsy and associated physical conditions. We found that ASD children and young people diagnosed with early childhood epilepsy had nearly a twofold increase in risk of developing ADHD later in life, an association which persisted after adjusting for potential confounders (adjusted OR = 1.72, CI95% = 1.13-2.62). This study suggests that sensitive monitoring of ADHD symptoms in children with ASD who have a history of childhood epilepsy may be important to promote early detection and treatment. It also highlights how linked electronic health records can be used to examine potential risk factors over time for multimorbidity in neurodevelopmental conditions.
Collapse
|
6
|
Lemoine É, Neves Briard J, Rioux B, Podbielski R, Nauche B, Toffa D, Keezer M, Lesage F, Nguyen DK, Bou Assi E. Computer-assisted analysis of routine electroencephalogram to identify hidden biomarkers of epilepsy: protocol for a systematic review. BMJ Open 2023; 13:e066932. [PMID: 36693684 PMCID: PMC9884857 DOI: 10.1136/bmjopen-2022-066932] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION The diagnosis of epilepsy frequently relies on the visual interpretation of the electroencephalogram (EEG) by a neurologist. The hallmark of epilepsy on EEG is the interictal epileptiform discharge (IED). This marker lacks sensitivity: it is only captured in a small percentage of 30 min routine EEGs in patients with epilepsy. In the past three decades, there has been growing interest in the use of computational methods to analyse the EEG without relying on the detection of IEDs, but none have made it to the clinical practice. We aim to review the diagnostic accuracy of quantitative methods applied to ambulatory EEG analysis to guide the diagnosis and management of epilepsy. METHODS AND ANALYSIS The protocol complies with the recommendations for systematic reviews of diagnostic test accuracy by Cochrane. We will search MEDLINE, EMBASE, EBM reviews, IEEE Explore along with grey literature for articles, conference papers and conference abstracts published after 1961. We will include observational studies that present a computational method to analyse the EEG for the diagnosis of epilepsy in adults or children without relying on the identification of IEDs or seizures. The reference standard is the diagnosis of epilepsy by a physician. We will report the estimated pooled sensitivity and specificity, and receiver operating characteristic area under the curve (ROC AUC) for each marker. If possible, we will perform a meta-analysis of the sensitivity and specificity and ROC AUC for each individual marker. We will assess the risk of bias using an adapted QUADAS-2 tool. We will also describe the algorithms used for signal processing, feature extraction and predictive modelling, and comment on the reproducibility of the different studies. ETHICS AND DISSEMINATION Ethical approval was not required. Findings will be disseminated through peer-reviewed publication and presented at conferences related to this field. PROSPERO REGISTRATION NUMBER CRD42022292261.
Collapse
Affiliation(s)
- Émile Lemoine
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- Institute of Biomedical Engineering, Ecole Polytechnique de Montreal, Montreal, Québec, Canada
| | - Joel Neves Briard
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Bastien Rioux
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Renata Podbielski
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Bénédicte Nauche
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Denahin Toffa
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Mark Keezer
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
| | - Frédéric Lesage
- Institute of Biomedical Engineering, Ecole Polytechnique de Montreal, Montreal, Québec, Canada
| | - Dang K Nguyen
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Elie Bou Assi
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| |
Collapse
|
7
|
Lajunen HR, Laasonen M, Lahti-Nuuttila P, Leminen M, Smolander S, Kunnari S, Arkkila E, Lauronen L. Is epileptiform activity related to developmental language disorder? Findings from the HelSLI study. Clin Neurophysiol Pract 2023; 8:65-70. [PMID: 37188277 PMCID: PMC10176248 DOI: 10.1016/j.cnp.2023.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 02/12/2023] [Accepted: 03/31/2023] [Indexed: 05/17/2023] Open
Abstract
Objective To study if interictal epileptiform discharges (IEDs) are associated with language performance or pre-/perinatal factors in children with developmental language disorder (DLD). Methods We recorded routine EEG in wake and sleep in 205 children aged 2.9-7.1 years with DLD, without neurologic diseases or intellectual disability. We examined the language performance of the children and collected data on pre-/perinatal factors. Results Interictal epileptiform discharges were not associated with lower language performance. Children with so-called "rolandic", i.e. centrotemporoparietal, IEDs had better language skills, but age explained this association. Most pre-/perinatal factors evaluated did not increase the risk of rolandic IEDs, except for maternal smoking (OR 4.4, 95% CI 1.4-14). We did not find electrical status epilepticus during slow-wave sleep (ESES)/spike-and-wave activation in sleep (SWAS) in any children. Conclusions Interictal epileptiform discharges are not associated with lower language performance, and ESES/SWAS is not common in children with DLD. Significance Routine EEGs do not bring additional information about language performance in children with DLD who do not have any neurologic diseases, seizures, intellectual disability, or regression of language development.
Collapse
Affiliation(s)
- Hanna-Reetta Lajunen
- Department of Clinical Neurophysiology, University of Helsinki and Helsinki University Hospital, Finland
- Corresponding author at: Department of Clinical Neurophysiology, University of Helsinki and Helsinki University Hospital, PO Box 800, 00029 HUS, Finland.
| | - Marja Laasonen
- Department of Otorhinolaryngology and Phoniatrics, Head and Neck Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Logopedics, School of Humanities, Philosophical Faculty, University of Eastern Finland, Joensuu, Finland
| | - Pekka Lahti-Nuuttila
- Department of Otorhinolaryngology and Phoniatrics, Head and Neck Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Miika Leminen
- Unit of Analytics and Data Services, Helsinki University Hospital, Helsinki, Finland
| | - Sini Smolander
- Department of Otorhinolaryngology and Phoniatrics, Head and Neck Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Research Unit of Logopedics, Faculty of Humanities, University of Oulu, Finland
| | - Sari Kunnari
- Research Unit of Logopedics, Faculty of Humanities, University of Oulu, Finland
| | - Eva Arkkila
- Department of Otorhinolaryngology and Phoniatrics, Head and Neck Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Leena Lauronen
- Department of Clinical Neurophysiology, University of Helsinki and Helsinki University Hospital and Epilepsia Helsinki, Finland
| |
Collapse
|
8
|
Besné GM, Horrillo-Maysonnial A, Nicolás MJ, Capell-Pascual F, Urrestarazu E, Artieda J, Valencia M. An interactive framework for the detection of ictal and interictal activities: Cross-species and stand-alone implementation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 218:106728. [PMID: 35299138 DOI: 10.1016/j.cmpb.2022.106728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 02/03/2022] [Accepted: 03/01/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND AND OBJECTIVE Despite advances on signal analysis and artificial intelligence, visual inspection is the gold standard in event detection on electroencephalographic recordings. This process requires much time of clinical experts on both annotating and training new experts for this same task. In scenarios where epilepsy is considered, the need for automatic tools is more prominent, as both seizures and interictal events can occur on hours- or days-long recordings. Although other solutions have already been proposed, most of them are not integrated on clinical and basic science environments due to their complexity and required specialization. Here we present a pipeline that arises from coordinated efforts between life-science researchers, clinicians and data scientists to develop an interactive and iterative workflow to train machine-learning tools for the automatic detection of electroencephalographic events in a variety of scenarios. METHODS The approach consists on a series of subsequent steps covering data loading and configuration, event annotation, model training/re-training and event detection. With slight modifications, the combination of these blocks can cope with a variety of scenarios. To illustrate the flexibility and robustness of the approach, three datasets from clinical (patients of Dravet Syndrome) and basic research environments (mice model of the same disease) were evaluated. From them, and in response to researchers' daily needs, four real world examples of interictal event detection and seizure classification tasks were selected and processed. RESULTS Results show that the current approach was of great aid for event annotation and model development. It was capable of creating custom machine-learning solutions for each scenario with slight adjustments on the analysis protocol, easily accessible to users without programming skills. Final annotator similarity metrics reached values above 80% on all cases of use, reaching 92.3% on interictal event detection on human recordings. CONCLUSIONS The presented framework is easily adaptable to multiple real world scenarios and the interactive and ease-to-use approach makes it manageable to clinical and basic researches without programming skills. Nevertheless, it is conceived so data scientists can optimize it for specific scenarios, improving the knowledge transfer between these fields.
Collapse
Affiliation(s)
- Guillermo M Besné
- Program of Neuroscience, Universidad de Navarra, CIMA, Avenida Pío XII, 55, 31008 Navarra, Pamplona, Spain
| | | | - María Jesús Nicolás
- Program of Neuroscience, Universidad de Navarra, CIMA, Avenida Pío XII, 55, 31008 Navarra, Pamplona, Spain
| | - Ferran Capell-Pascual
- Program of Neuroscience, Universidad de Navarra, CIMA, Avenida Pío XII, 55, 31008 Navarra, Pamplona, Spain
| | - Elena Urrestarazu
- Clinical Neurophysiology Section, Clínica Universidad de Navarra, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | - Julio Artieda
- Program of Neuroscience, Universidad de Navarra, CIMA, Avenida Pío XII, 55, 31008 Navarra, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | - Miguel Valencia
- Program of Neuroscience, Universidad de Navarra, CIMA, Avenida Pío XII, 55, 31008 Navarra, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Institute of Data Science and Artificial Intelligence, Universidad de Navarra, Pamplona, Spain.
| |
Collapse
|
9
|
Scalp HFO rates decrease after successful epilepsy surgery and are not impacted by the skull defect resulting from craniotomy. Sci Rep 2022; 12:1301. [PMID: 35079091 PMCID: PMC8789862 DOI: 10.1038/s41598-022-05373-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 01/05/2022] [Indexed: 02/06/2023] Open
Abstract
Epilepsy surgery can achieve seizure freedom in selected pediatric candidates, but reliable postsurgical predictors of seizure freedom are missing. High frequency oscillations (HFO) in scalp EEG are a new and promising biomarker of treatment response. However, it is unclear if the skull defect resulting from craniotomy interferes with HFO detection in postsurgical recordings. We considered 14 children with focal lesional epilepsy who underwent presurgical evaluation, epilepsy surgery, and postsurgical follow-up of ≥ 1 year. We identified the nearest EEG electrodes to the skull defect in the postsurgical MRI. We applied a previously validated automated HFO detector to determine HFO rates in presurgical and postsurgical EEG. Overall, HFO rates showed a positive correlation with seizure frequency (p < 0.001). HFO rates in channels over the HFO area decreased following successful epilepsy surgery, irrespective of their proximity to the skull defect (p = 0.005). HFO rates in channels outside the HFO area but near the skull defect showed no increase following surgery (p = 0.091) and did not differ from their contralateral channels (p = 0.726). Our observations show that the skull defect does not interfere with postsurgical HFO detection. This supports the notion that scalp HFO can predict postsurgical seizure freedom and thus guide therapy management in focal lesional epilepsy.
Collapse
|
10
|
Yang JC, Paulk AC, Salami P, Lee SH, Ganji M, Soper DJ, Cleary D, Simon M, Maus D, Lee JW, Nahed BV, Jones PS, Cahill DP, Cosgrove GR, Chu CJ, Williams Z, Halgren E, Dayeh S, Cash SS. Microscale dynamics of electrophysiological markers of epilepsy. Clin Neurophysiol 2021; 132:2916-2931. [PMID: 34419344 DOI: 10.1016/j.clinph.2021.06.024] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/22/2021] [Accepted: 06/29/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Interictal discharges (IIDs) and high frequency oscillations (HFOs) are established neurophysiologic biomarkers of epilepsy, while microseizures are less well studied. We used custom poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) microelectrodes to better understand these markers' microscale spatial dynamics. METHODS Electrodes with spatial resolution down to 50 µm were used to record intraoperatively in 30 subjects. IIDs' degree of spread and spatiotemporal paths were generated by peak-tracking followed by clustering. Repeating HFO patterns were delineated by clustering similar time windows. Multi-unit activity (MUA) was analyzed in relation to IID and HFO timing. RESULTS We detected IIDs encompassing the entire array in 93% of subjects, while localized IIDs, observed across < 50% of channels, were seen in 53%. IIDs traveled along specific paths. HFOs appeared in small, repeated spatiotemporal patterns. Finally, we identified microseizure events that spanned 50-100 µm. HFOs covaried with MUA, but not with IIDs. CONCLUSIONS Overall, these data suggest that irritable cortex micro-domains may form part of an underlying pathologic architecture which could contribute to the seizure network. SIGNIFICANCE These results, supporting the possibility that epileptogenic cortex comprises a mosaic of irritable domains, suggests that microscale approaches might be an important perspective in devising novel seizure control therapies.
Collapse
Affiliation(s)
- Jimmy C Yang
- Department of Neurosurgery, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Angelique C Paulk
- Department of Neurology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Pariya Salami
- Department of Neurology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Sang Heon Lee
- Department of Electrical and Computer Engineering, University of California, San Diego; 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Mehran Ganji
- Department of Electrical and Computer Engineering, University of California, San Diego; 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Daniel J Soper
- Department of Neurology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Daniel Cleary
- Department of Neurosurgery, University of California, San Diego; 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Mirela Simon
- Department of Neurology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Douglas Maus
- Department of Neurology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Jong Woo Lee
- Department of Neurology, Brigham and Women's Hospital, 60 Fenwood Rd., Boston, MA 02115, USA
| | - Brian V Nahed
- Department of Neurosurgery, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Pamela S Jones
- Department of Neurosurgery, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Garth Rees Cosgrove
- Department of Neurosurgery, Brigham and Women's Hospital, 60 Fenwood Rd., Boston, MA 02115, USA
| | - Catherine J Chu
- Department of Neurology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Ziv Williams
- Department of Neurosurgery, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Eric Halgren
- Department of Radiology, University of California, San Diego; 9500 Gilman Dr.; La Jolla, CA 92093, USA
| | - Shadi Dayeh
- Department of Electrical and Computer Engineering, University of California, San Diego; 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Sydney S Cash
- Department of Neurology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA.
| |
Collapse
|
11
|
Quon RJ, Leslie GA, Camp EJ, Meisenhelter S, Steimel SA, Song Y, Ettinger AB, Bujarski KA, Casey MA, Jobst BC. 40-Hz auditory stimulation for intracranial interictal activity: A pilot study. Acta Neurol Scand 2021; 144:192-201. [PMID: 33893999 DOI: 10.1111/ane.13437] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/08/2021] [Accepted: 04/11/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To study the effects of auditory stimuli on interictal epileptiform discharge (IED) rates evident with intracranial monitoring. MATERIALS AND METHODS Eight subjects undergoing intracranial EEG monitoring for refractory epilepsy participated in this study. Auditory stimuli consisted of a 40-Hz tone, a 440-Hz tone modulated by a 40-Hz sinusoid, Mozart's Sonata for Two Pianos in D Major (K448), and K448 modulated by a 40-Hz sinusoid (modK448). Subjects were stratified into high- and low-IED rate groups defined by baseline IED rates. Subject-level analyses identified individual responses to auditory stimuli, discerned specific brain regions with significant reductions in IED rates, and examined the influence auditory stimuli had on whole-brain sigma power (12-16 Hz). RESULTS All subjects in the high baseline IED group had a significant 35.25% average reduction in IEDs during the 40-Hz tone; subject-level reductions localized to mesial and lateral temporal regions. Exposure to Mozart K448 showed significant yet less homogeneous responses. A post hoc analysis demonstrated two of the four subjects with positive IED responses had increased whole-brain power at the sigma frequency band during 40-Hz stimulation. CONCLUSIONS Our study is the first to evaluate the relationship between 40-Hz auditory stimulation and IED rates in refractory epilepsy. We reveal that 40-Hz auditory stimuli may be a noninvasive adjunctive intervention to reduce IED burden. Our pilot study supports the future examination of 40-Hz auditory stimuli in a larger population of subjects with high baseline IED rates.
Collapse
Affiliation(s)
- Robert J. Quon
- Department of Neurology Geisel School of Medicine at Dartmouth Hanover NH USA
| | - Grace A. Leslie
- Department of Music Georgia Institute of Technology Atlanta GA USA
| | - Edward J. Camp
- Department of Neurology Dartmouth‐Hitchcock Medical Center Lebanon NH USA
| | | | - Sarah A. Steimel
- Department of Neurology Geisel School of Medicine at Dartmouth Hanover NH USA
| | - Yinchen Song
- Department of Neurology Geisel School of Medicine at Dartmouth Hanover NH USA
- Department of Neurology Dartmouth‐Hitchcock Medical Center Lebanon NH USA
| | | | - Krzysztof A. Bujarski
- Department of Neurology Geisel School of Medicine at Dartmouth Hanover NH USA
- Department of Neurology Dartmouth‐Hitchcock Medical Center Lebanon NH USA
| | - Michael A. Casey
- Department of Music at Dartmouth College Hanover NH USA
- Department of Computer Science at Dartmouth College Hanover NH USA
| | - Barbara C. Jobst
- Department of Neurology Geisel School of Medicine at Dartmouth Hanover NH USA
- Department of Neurology Dartmouth‐Hitchcock Medical Center Lebanon NH USA
| |
Collapse
|
12
|
Horvath AA, Papp A, Zsuffa J, Szucs A, Luckl J, Radai F, Nagy F, Hidasi Z, Csukly G, Barcs G, Kamondi A. Subclinical epileptiform activity accelerates the progression of Alzheimer's disease: A long-term EEG study. Clin Neurophysiol 2021; 132:1982-1989. [PMID: 34034963 DOI: 10.1016/j.clinph.2021.03.050] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 02/11/2021] [Accepted: 03/29/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVE While many studies suggest that patients with Alzheimer's disease have a higher chance for developing epileptic seizures, only a few studies are available examining independent epileptic discharges. The major aims of our study was to determine the prevalence of subclinical epileptiform activity (SEA) in AD compared to healthy elderly controls with the hypothesis that SEA is more frequent in AD than in cognitively normal individuals. Another aim was to analyze the effect of baseline SEA captured with electroencephalography on the progression of the disease with longitudinal cognitive testing. METHODS We investigated 52 Alzheimer patients with no history of epileptic seizures and 20 healthy individuals. All participants underwent a 24-hour electroencephalography, neurology, neuroimaging and neuropsychology examination. Two independent raters analyzed visually the electroencephalograms and both raters were blind to the diagnoses. Thirty-eight Alzheimer patients were enrolled in a 3-year long prospective follow-up study with yearly repeated cognitive evaluation. RESULTS Subclinical epileptiform discharges were recorded significantly (p:0.018) more frequently in Alzheimer patients (54%) than in healthy elderly (25%). Epileptiform discharges were associated with lower performance scores in memory. Alzheimer patients with spikes showed 1.5-times faster decline in global cognitive scores than patients without (p < 0.001). The decline in cognitive performance scores showed a significant positive correlation with spike frequency (r:+0.664; p < 0.001). CONCLUSIONS Subclinical epileptiform activity occurs in half of Alzheimer patients who have never suffered epileptic seizures. Alzheimer patients with subclinical epileptiform activity showed accelerated cognitive decline with a strong relation to the frequency and spatial distribution (left temporal) of spikes. SIGNIFICANCE Our findings suggest the prominent role of epileptiform discharges in the pathomechanism of Alzheimer's disease which might serve as potential therapeutic target.
Collapse
Affiliation(s)
- Andras Attila Horvath
- National Institute of Clinical Neurosciences, Department of Neurology Budapest, Hungary; Semmelweis University, Department of Anatomy Histology and Embryology, Budapest, Hungary.
| | - Aniko Papp
- National Institute of Clinical Neurosciences, Department of Neurology Budapest, Hungary; Semmelweis University, School of PhD Studies, Budapest, Hungary
| | - Janos Zsuffa
- János Zsuffa, Zsuffa-Med Ltd., Budapest, Hungary
| | - Anna Szucs
- National Institute of Clinical Neurosciences, Department of Neurology Budapest, Hungary
| | - Janos Luckl
- Department of Neurology, Kaposi Mór County Hospital, Kaposvár, Hungary
| | - Ferenc Radai
- Department of Neurology, Kaposi Mór County Hospital, Kaposvár, Hungary
| | - Ferenc Nagy
- Department of Neurology, Kaposi Mór County Hospital, Kaposvár, Hungary
| | - Zoltan Hidasi
- Semmelweis University, Department of Psychiatry and Psychotherapy, Budapest, Hungary
| | - Gabor Csukly
- Semmelweis University, Department of Psychiatry and Psychotherapy, Budapest, Hungary
| | - Gabor Barcs
- National Institute of Clinical Neurosciences, Department of Neurology Budapest, Hungary
| | - Anita Kamondi
- National Institute of Clinical Neurosciences, Department of Neurology Budapest, Hungary; Semmelweis University Department of Neurology, Budapest, Hungary
| |
Collapse
|
13
|
Abstract
SUMMARY Recording of interictal epileptiform discharges to classify the epilepsy syndrome is one of the most common indications for ambulatory EEG. Ambulatory EEG has superior sampling compared with standard EEG recordings and advantages in terms of cost-effectiveness and convenience compared with a prolonged inpatient EEG study. Ambulatory EEG allows for EEG recording in all sleep stages and transitional states, which can be very helpful in capturing interictal epileptiform discharges. In the absence of interictal epileptiform discharges or in patients with atypical events, the characterization of an epilepsy syndrome may require recording of the habitual events. Diagnostic ambulatory EEG can be a useful alternative to inpatient video-EEG monitoring in a selected number of patients with frequent events who do not require medication taper or seizure testing for surgical localization.
Collapse
|
14
|
Cserpan D, Boran E, Lo Biundo SP, Rosch R, Sarnthein J, Ramantani G. Scalp high-frequency oscillation rates are higher in younger children. Brain Commun 2021; 3:fcab052. [PMID: 33870193 PMCID: PMC8042248 DOI: 10.1093/braincomms/fcab052] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 01/30/2021] [Accepted: 02/15/2021] [Indexed: 12/15/2022] Open
Abstract
High-frequency oscillations in scalp EEG are promising non-invasive biomarkers of epileptogenicity. However, it is unclear how high-frequency oscillations are impacted by age in the paediatric population. We prospectively recorded whole-night scalp EEG in 30 children and adolescents with focal or generalized epilepsy. We used an automated and clinically validated high-frequency oscillation detector to determine ripple rates (80-250 Hz) in bipolar channels. Children < 7 years had higher high-frequency oscillation rates (P = 0.021) when compared with older children. The median test-retest reliability of high-frequency oscillation rates reached 100% (iqr 50) for a data interval duration of 10 min. Scalp high-frequency oscillation frequency decreased with age (r = -0.558, P = 0.002), whereas scalp high-frequency oscillation duration and amplitude were unaffected. The signal-to-noise ratio improved with age (r = 0.37, P = 0.048), and the background ripple band activity decreased with age (r = -0.463, P = 0.011). We characterize the relationship of scalp high-frequency oscillation features and age in paediatric patients. EEG intervals of ≥ 10 min duration are required for reliable measurements of high-frequency oscillation rates. This study is a further step towards establishing scalp high-frequency oscillations as a valid epileptogenicity biomarker in this vulnerable age group.
Collapse
Affiliation(s)
- Dorottya Cserpan
- Department of Neuropediatrics, University Children's Hospital Zurich, 8032 Zurich, Switzerland,Department of Neurosurgery, University Hospital Zurich, 8006 Zurich, Switzerland
| | - Ece Boran
- Department of Neurosurgery, University Hospital Zurich, 8006 Zurich, Switzerland
| | - Santo Pietro Lo Biundo
- Department of Neuropediatrics, University Children's Hospital Zurich, 8032 Zurich, Switzerland
| | - Richard Rosch
- Department of Neuropediatrics, University Children's Hospital Zurich, 8032 Zurich, Switzerland
| | - Johannes Sarnthein
- Department of Neurosurgery, University Hospital Zurich, 8006 Zurich, Switzerland,University of Zurich, 8006 Zurich, Switzerland,Klinisches Neurozentrum Zurich, University Hospital Zurich, 8006 Zurich, Switzerland
| | - Georgia Ramantani
- Department of Neuropediatrics, University Children's Hospital Zurich, 8032 Zurich, Switzerland,University of Zurich, 8006 Zurich, Switzerland,Children’s Research Centre, University Children's Hospital Zurich, 8032 Zurich, Switzerland,Correspondence to: Georgia Ramantani, MD, PhD Department of Neuropediatrics, University Children's Hospital Zurich Steinwiesstrasse 75, 8032 Zurich, Switzerland. E-mail:
| |
Collapse
|
15
|
Wang HX, Wang L, Zhang WR, Xue Q, Peng M, Sun ZC, Li LP, Wang K, Yang XT, Jia Y, Zhou QL, Xu ZX, Li N, Dong K, Zhang Q, Song HQ, Zhan SQ, Min BQ, Fan CQ, Zhou AH, Guo XH, Li HB, Liang LR, Yin L, Si TM, Huang J, Yan TY, Cosci F, Kamiya A, Lu J, Wang YP. Effect of Transcranial Alternating Current Stimulation for the Treatment of Chronic Insomnia: A Randomized, Double-Blind, Parallel-Group, Placebo-Controlled Clinical Trial. PSYCHOTHERAPY AND PSYCHOSOMATICS 2020; 89:38-47. [PMID: 31846980 DOI: 10.1159/000504609] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Accepted: 11/05/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Not all adults with chronic insomnia respond to the recommended therapeutic options of cognitive behavioral therapy and approved hypnotic drugs. Transcranial alternating current stimulation (tACS) may offer a novel potential treatment modality for insomnia. OBJECTIVES This study aimed to examine the efficacy and safety of tACS for treating adult patients with chronic insomnia. METHODS Sixty-two participants with chronic primary insomnia received 20 daily 40-min, 77.5-Hz, 15-mA sessions of active or sham tACS targeting the forehead and both mastoid areas in the laboratory on weekdays for 4 consecutive weeks, followed by a 4-week follow-up period. The primary outcome was response rate measured by the Pittsburgh Sleep Quality Index (PSQI) at week 8. Secondary outcomes were remission rate, insomnia severity, sleep onset latency (SOL), total sleep time (TST), sleep efficiency, sleep quality, daily disturbances, and adverse events at the end of the 4-week intervention and at the 4-week follow-up. RESULTS Of 62 randomized patients, 60 completed the trial. During the 4-week intervention, 1 subject per group withdrew due to loss of interest and time restriction, respectively. Based on PSQI, at 4-week follow-up, the active group had a higher response rate compared to the sham group (53.4% [16/30] vs. 16.7% [5/30], p = 0.009), but remission rates were not different between groups. At the end of the 4-week intervention, the active group had higher response and remission rates than the sham group (p < 0.001 and p = 0.026, respectively). During the trial, compared with the sham group, the active group showed a statistically significant decrease in PSQI total score, a shortened SOL, an increased TST, improved sleep efficiency, and improved sleep quality (p < 0.05 or p < 0.001). Post hoc analysis revealed that, in comparison with the sham group, the active group had improved symptoms, except for daily disturbances, at the end of the 4-week intervention, and significant improvements in all symptoms at the 4-week follow-up. No adverse events or serious adverse responses occurred during the study. CONCLUSION The findings show that the tACS applied in the present study has potential as an effective and safe intervention for chronic insomnia within 8 weeks.
Collapse
Affiliation(s)
- Hong-Xing Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China, .,Beijing Key Laboratory of Neuromodulation, Beijing, China, .,Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China,
| | - Li Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wen-Rui Zhang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qing Xue
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Mao Peng
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhi-Chao Sun
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li-Ping Li
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Kun Wang
- Department of Neurology, Beijing Puren Hospital, Beijing, China
| | - Xiao-Tong Yang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yu Jia
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qi-Lin Zhou
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhe-Xue Xu
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ning Li
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Kai Dong
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qian Zhang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hai-Qing Song
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shu-Qin Zhan
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Bao-Quan Min
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chun-Qiu Fan
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ai-Hong Zhou
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiu-Hua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Hai-Bin Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Li-Rong Liang
- Department of Epidemiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Lu Yin
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Beijing, China
| | - Tian-Mei Si
- Peking University Sixth Hospital, Beijing, China
| | - Jing Huang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Tian-Yi Yan
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Atsushi Kamiya
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yu-Ping Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neuromodulation, Beijing, China.,Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| |
Collapse
|
16
|
Alciati A, Shiffer D, Dipaola F, Barbic F, Furlan R. Psychogenic Pseudosyncope: Clinical Features, Diagnosis and Management. J Atr Fibrillation 2020; 13:2399. [PMID: 33024500 DOI: 10.4022/jafib.2399] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Revised: 02/15/2020] [Accepted: 03/18/2020] [Indexed: 12/25/2022]
Abstract
Psychogenic Pseudosyncope (PPS) is the appearance of Transient Loss of Consciousness (TLOC) in which movements are absent, but there are no hemodynamic and electroencephalographic modifications as are induced by gravitational challenges which characterize syncope and true loss of consciousness. For younger and adult populations, a detailed history is crucial for the diagnosis. Clinical clues that should raise the suspicion for PPS include prolonged duration of the LOC, eye closure during the episode, unusual triggers, no recognizable prodromes and the high frequency of attacks. The presence of an established diagnosis of syncope should not deter from the concomitant diagnosis of PPS. The gold standard for a proper diagnosis of PPS is the documentation by a tilt test of normal hemodynamic and electroencephalographic parameters, when recorded during an attack. Treatment of PPS, based on the clear and empathetic communication of the diagnosis, can lead to an immediate reduction of attack frequency and lower the need to call on emergency services. Pharmacological treatment of associated psychiatric disorders and psychological interventions may be beneficial in patients with PPS. Cognitive-behavioural therapy holds the most reliable evidence of efficacy. In the present review, we aimed to address PPS with historical aspects, main clinical features and diagnostic tests, current diagnostic classification, underlying neurobiological abnormalities, management and therapy.
Collapse
Affiliation(s)
- Alessandra Alciati
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy.,Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa S. Benedetto Menni Hospital, Albese con Cassano (CO), Italy
| | - Dana Shiffer
- Internal Medicine, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy
| | - Franca Dipaola
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy.,Internal Medicine, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy
| | - Franca Barbic
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy.,Internal Medicine, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy
| | - Raffaello Furlan
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy.,Internal Medicine, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy
| |
Collapse
|
17
|
Abstract
Epilepsy is one of the most common neurologic disorders seen in children, with the highest incidence in the first year of life. Diagnostic accuracy can be challenging because many seizure mimics must be considered. Electroencephalography and neuroimaging can be critical in determining etiology and syndrome. Genetic testing is a high-yield endeavor, particularly in early-life epilepsies. Up to one-fourth of children with epilepsy will develop drug-resistant seizures. Comorbidities are very common in children with epilepsy, including intellectual disability in 25% and learning disability and attention-deficit/hyperactivity disorder in a significant minority. These comorbidities must be recognized and addressed as part of the child's overall care.
Collapse
Affiliation(s)
- Anthony Fine
- Division of Epilepsy and Division of Child and Adolescent Neurology, Department of Neurology, Mayo Clinic, Rochester, MN
| | - Elaine C Wirrell
- Division of Epilepsy and Division of Child and Adolescent Neurology, Department of Neurology, Mayo Clinic, Rochester, MN
| |
Collapse
|
18
|
Dagar S, Emektar E, Corbacioglu SK, Demirci OL, Tandogan M, Cevik Y. Evaluation of electrocardiographic parameters in patients with epileptic seizure. Acta Neurol Belg 2020; 120:321-327. [PMID: 31297670 DOI: 10.1007/s13760-019-01182-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Accepted: 07/02/2019] [Indexed: 11/24/2022]
Abstract
The aim of the study is to evaluate the changes in electrocardiographic parameters, including QTc dispersion (QTcd), Tpeak-Tend (Tp-e)/QTc ratio and P-wave dispersion (Pd), during the period without seizure activation in patients, presented to the emergency department (ED) with epileptic seizures. This prospective case-control study was conducted between January 2017 and January 2018. Patients, over 18 years old and presented to the ED with epileptic seizure, were consecutively included in the study. Interictal period ECGs of patients were obtained at least 2 hours after the end of the postictal period. ST-segment changes, QT interval, corrected QT interval (QTc), QTd, Pd, Tp-e, Tp-e dispersion (Tp-ed), Tp-e/QTc ratio and arrhythmias were evaluated in interictal ECGs. A total of 103 epileptic patients and 31 control cases were included in the study. Heart rate, QTc, QTcd, Pd, Tp-ed and Tp-e/QTc ratio were significantly higher in the epilepsy group than in the control group (p < 0.05 for all values). No statistically significant difference in those parameters was observed between the patients with known epilepsy and the patients who had seizure for the first time. There was also no statistically significant difference between patients who had recurrent seizures during the observation period and who did not. The patients with epileptic seizures had increased Pd, QTd, QTcd, Tp-ed and Tpe/QTc ratio during interictal period compared to healthy subjects. These electrocardiographic changes might be associated with an increased risk of dysrhythmia. However, prospective large cohorts with short- and long-term follow-up are needed for clinical reflections.
Collapse
Affiliation(s)
- Seda Dagar
- Department of Emergency Medicine, Kecioren Training and Research Hospital, Ankara, Turkey.
| | - Emine Emektar
- Department of Emergency Medicine, Kecioren Training and Research Hospital, Ankara, Turkey
| | | | - Osman Lutfi Demirci
- Department of Emergency Medicine, Kecioren Training and Research Hospital, Ankara, Turkey
| | - Meral Tandogan
- Department of Emergency Medicine, Kecioren Training and Research Hospital, Ankara, Turkey
| | - Yunsur Cevik
- Department of Emergency Medicine, Kecioren Training and Research Hospital, Ankara, Turkey
| |
Collapse
|
19
|
|
20
|
Abt M, Dinklo T, Rothfuss A, Husar E, Dannecker R, Kallivroussis K, Peck R, Doessegger L, Wandel C. A Framework Proposal to Follow-Up on Preclinical Convulsive Signals of a New Molecular Entity in First-in-Human Studies Using Electroencephalographic Monitoring. Clin Pharmacol Ther 2019; 106:968-980. [PMID: 30993670 PMCID: PMC6851537 DOI: 10.1002/cpt.1455] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 03/18/2019] [Indexed: 01/11/2023]
Abstract
Traditionally, in dose-escalating first-in-human (FiH) studies, a dose cap with a 10-fold safety margin to the no observed effect level in animals is implemented if convulsive events are observed in animals. However, the convulsive risk seen in animals does not generally translate to humans. Several lines of evidence are summarized indicating that in a dose-escalating setting, electroencephalographic epileptiform abnormalities occur at lower doses than clinical convulsive events. Therefore, we propose to consider the occurrence of epileptiform abnormalities in toxicology studies as premonitory signals for convulsions in dose-escalating FiH studies. Compared with the traditional dose-cap approach, this may allow the exploration of higher doses in FiH and, subsequently, phase II studies without compromising human safety. Similarly, the presence or absence of electroencephalographic epileptiform abnormalities may also aid the assessment of proconvulsive risk in situations of increased perpetrator burden as potentially present in pharmacokinetic and/or pharmacodynamic drug-drug interactions.
Collapse
Affiliation(s)
- Markus Abt
- Department of BiometricsF. Hoffmann‐La Roche AGBaselSwitzerland
| | - Theo Dinklo
- Roche Pharma Research and Early DevelopmentRoche Innovation Center BaselF. Hoffmann‐La Roche AGBaselSwitzerland
| | - Andreas Rothfuss
- Roche Pharma Research and Early DevelopmentRoche Innovation Center BaselF. Hoffmann‐La Roche AGBaselSwitzerland
| | - Elisabeth Husar
- Roche Pharma Research and Early DevelopmentRoche Innovation Center BaselF. Hoffmann‐La Roche AGBaselSwitzerland
| | | | | | - Richard Peck
- Roche Pharma Research and Early DevelopmentRoche Innovation Center BaselF. Hoffmann‐La Roche AGBaselSwitzerland
| | | | - Christoph Wandel
- Department of Safety & Risk ManagementF. Hoffmann‐La Roche AGBaselSwitzerland
| |
Collapse
|
21
|
The clinical utility of non-invasive video-electroencephalographic monitoring has been diversifying. Neurol Sci 2019; 40:2625-2631. [DOI: 10.1007/s10072-019-04022-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 07/20/2019] [Indexed: 10/26/2022]
|
22
|
Luz-Escamilla L, Morales-González JA. Association between Interictal Epileptiform Discharges and Autistic Spectrum Disorder. Brain Sci 2019; 9:brainsci9080185. [PMID: 31366163 PMCID: PMC6721430 DOI: 10.3390/brainsci9080185] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 07/28/2019] [Accepted: 07/30/2019] [Indexed: 02/07/2023] Open
Abstract
It has been reported that bioelectric alterations in an electroencephalogram (EEG) may play an etiological role in neurodevelopmental disorders. The clinical impact of interictal epileptiform discharges (IEDs) in association with autistic spectrum disorder (ASD) is unknown. The Autism Diagnostic Interview-Revised (ADI-R) is one of the gold standards for the diagnosis of autistic spectrum disorder. Some studies have indicated high comorbidity of IED and ASD, while other studies have not supported an association between the central symptoms of autism and IED. This review examines the high comorbidity and clinical impact of IED; patients with epilepsy are excluded from the scope of this review. ASD can be disabling and is diagnosed at an average age of 5 years old, at which point the greatest neurological development has occurred. If an association between IED and ASD is identified, a clinical tool that entails an innocuous procedure could enable diagnosis in the first years of life. However, in the absence of reports that prove an association between IED and ASD, patients should not be subjected to expensive treatments, such as the administration of anticonvulsant therapies.
Collapse
Affiliation(s)
- Laura Luz-Escamilla
- Laboratorio de Medicina de Conservación y Maestría en Ciencias de la Salud, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón S/N, Col. Casco de Santo Tomás, Alcaldía Miguel Hidalgo CP 11340, México.
- Departamento de Higiene Mental, Hospital General Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social, Distrito Federal CP 02990, México.
| | - José Antonio Morales-González
- Laboratorio de Medicina de Conservación y Maestría en Ciencias de la Salud, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón S/N, Col. Casco de Santo Tomás, Alcaldía Miguel Hidalgo CP 11340, México.
| |
Collapse
|
23
|
Valproic acid potently inhibits interictal-like epileptiform activity in prefrontal cortex pyramidal neurons. Neurosci Lett 2019; 708:134350. [PMID: 31247226 DOI: 10.1016/j.neulet.2019.134350] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 06/08/2019] [Accepted: 06/22/2019] [Indexed: 01/20/2023]
Abstract
Valproic acid has a long-standing reputation of effectively treating the symptoms of not only epilepsy but also psychiatric conditions. In the latter, the exact mechanism by which valproate exerts its effect remains unclear. In this study, epileptiform bursts were recorded from pyramidal neurons in the prefrontal cortex (the brain region thought to be involved in psychiatric disorders) using the patch-clamp technique. An extracellular solution with no magnesium ions and elevated potassium levels that is known to induce epileptiform activity in vitro was used. Because of their short durations, the epileptiform bursts were regarded as interictal-like epileptiform activity, which is believed to be involved in cognitive impairment. Interictal discharges occur in many neuropsychiatric disorders as well as in healthy population. Epileptic activity in prefrontal cortex pyramidal neurons was potently inhibited by two therapeutic concentrations of valproic acid (20 μM and 200 μM). Moreover, valproate suppressed spontaneous excitatory postsynaptic potentials. Epileptiform bursts were fully inhibited by NMDA receptor antagonist, which suggests that epileptiform activity is driven by NMDA receptors. The inhibition of excitability in prefrontal cortex pyramidal neurons by valproate was also shown. This study shows that it is possible to evoke NMDA-dependent epileptiform activity in prefrontal cortex pyramidal neurons in vitro. We suggest that the prefrontal cortex is a good region for studying the influence of drugs on interictal epileptiform activity.
Collapse
|
24
|
Swatzyna RJ, Boutros NN, Genovese AC, MacInerney EK, Roark AJ, Kozlowski GP. Electroencephalogram (EEG) for children with autism spectrum disorder: evidential considerations for routine screening. Eur Child Adolesc Psychiatry 2019; 28:615-624. [PMID: 30218395 DOI: 10.1007/s00787-018-1225-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 09/06/2018] [Indexed: 12/22/2022]
Abstract
Routine electroencephalograms (EEG) are not recommended as a screen for epileptic discharges (EDs) in current practice guidelines for children with autism spectrum disorder (ASD). However, a review of the research from the last three decades suggests that this practice should be reevaluated. The significant comorbidity between epilepsy and ASD, its shared biological pathways, risk for developmental regression, and cognitive challenges demand increased clinical investigation requiring a proactive approach. This review highlights and explains the need for screening EEGs for children with ASD. EEG would assist in differentiating EDs from core features of ASD and could be included in a comprehensive assessment. EEG also meets the demand for evidence-based precision medicine and focused care for the individual, especially when overlapping processes of development are present.
Collapse
Affiliation(s)
- Ronald J Swatzyna
- Electro-Neuro Analysis Research, Tarnow Center for Self-Management, 1001 West Loop South, Suite 215, Houston, TX, 77027, USA.
| | - Nash N Boutros
- Behavioral Neurology Division, The Saint Luke's Marion Bloch Neuroscience Institute, Kansas City, MO, USA
| | - Ann C Genovese
- Department of Child and Adolescent Psychiatry, The University of Kansas Medical Center, Kansas City, KS, USA
| | | | | | - Gerald P Kozlowski
- Department of Clinical Psychology, Saybrook University, Oakland, CA, USA
| |
Collapse
|
25
|
Stowe RC, Glaze DG. Electroencephalographic Patterns During Routine Polysomnography in Childhood and Association With Future Epilepsy Diagnosis. J Clin Sleep Med 2019; 15:553-562. [PMID: 30952213 DOI: 10.5664/jcsm.7712] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 01/04/2019] [Indexed: 02/03/2023]
Abstract
STUDY OBJECTIVES Evaluate the frequency of abnormal electroencephalograph (EEG) records during pediatric polysomnography (PSG) at a tertiary referral center and determine frequency with which these records may predict future seizures and a diagnosis of epilepsy. METHODS Retrospective review of all pediatric PSG reports from 2013 was performed. Demographics, medical history, indications, diagnoses, and EEG reports were collected. Patients were evaluated for follow-up of future diagnosis of seizure or epilepsy over a 30-month period. RESULTS A total of 1,969 studies (56.9% males, median age 7 years) were analyzed. Abnormal EEG results were detected in 314 studies (15.9%); abnormalities included slowing in 75 (3.8%) and interictal epileptiform discharges (IEDs) in 239 (12.1%). Incidental abnormal EEG recordings were found in 186 patients (9.4%) without a prior diagnosis of seizure or epilepsy. Incidental IEDs were recorded in 126 (6.4%) and were most commonly focal (66.7%). Ten patients received follow-up EEG without clinical follow-up, 68 received clinical follow-up without follow-up EEG, and 29 received both within a 30-month period. Follow-up EEG was normal in only 30.8% of cases. Thirteen patients in the 30-month window received a new diagnosis of epilepsy. Each new diagnosis occurred in patients with preexisting neurodevelopmental disorders at high risk for seizures. CONCLUSIONS Abnormal EEG during pediatric PSG without additional history of seizure is a poor prognosticator for a future diagnosis of epilepsy. Abnormalities detected on PSG did not always portend abnormal diagnostic EEG and thus its utility to corroborate findings does not appear to be supported without additional clinical context concerning for seizure.
Collapse
Affiliation(s)
- Robert C Stowe
- Department of Medicine, Division of Sleep Medicine, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA
| | - Daniel G Glaze
- Department of Pediatrics, Section of Pediatric Neurology and Developmental Neuroscience, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas.,Department of Neurology, Baylor College of Medicine, Houston, Texas
| |
Collapse
|
26
|
Thompson Nee Milner BE, Newsom D, White A. Paediatric electroencephalograph: The benefits of guidelines. J Paediatr Child Health 2019; 55:393-398. [PMID: 30218473 DOI: 10.1111/jpc.14207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 05/22/2018] [Accepted: 07/12/2018] [Indexed: 11/26/2022]
Abstract
AIM The electroencephalogram (EEG) is an important but often over-relied upon investigation in evaluating paroxysmal events of childhood. The UK National Institute for Health and Care Excellence (NICE) guidelines for epilepsy help clinicians decide which children should/should not have an EEG. Would introduction of these guidelines in our hospital change the ordering practices of our hospital clinicians? Would introduction reduce unnecessary tests and improve rapidity of obtaining an EEG? METHODS Paediatric EEG requests, results and, where possible, the patient hospital chart were reviewed before and after introduction of an EEG request form (Appendix I) which provided ordering advice as per the NICE epilepsy guideline. Patient age, sex, distance from hospital and ethnicity were reviewed. Also evaluated was clinical indication and time from ordering to performing the EEG. RESULTS Prior to the new EEG form, 56% of the EEG requests fulfilled the NICE criteria; after its introduction, this increased to 83%. EEGs ordered within the NICE guidelines were abnormal on 61% of occasions, but when ordered outside of the guidelines they were abnormal only 4% of the time (P < 0.0001). After its introduction there was poor use of the new form in practice (only 29% of requests). However, the EEGs were more likely to meet ordering criteria and fewer tests were required, leading to more rapid turn-around times. CONCLUSION This study demonstrates the value of using guidelines to improve timeliness and reduce over-utilisation of EEGs in general paediatric practice.
Collapse
Affiliation(s)
| | - David Newsom
- Department of Paediatrics, Townsville Hospital, Townsville, Queensland, Australia
| | - Andrew White
- Department of Paediatrics, Townsville Hospital, Townsville, Queensland, Australia.,School of Medicine, James Cook University, Townsville, Queensland, Australia
| |
Collapse
|
27
|
Sambin S, Gaspard N, Legros B, Depondt C, De Breucker S, Naeije G. Role of Epileptic Activity in Older Adults With Delirium, a Prospective Continuous EEG Study. Front Neurol 2019; 10:263. [PMID: 30941098 PMCID: PMC6434717 DOI: 10.3389/fneur.2019.00263] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 02/27/2019] [Indexed: 12/29/2022] Open
Abstract
Background/Objectives: Delirium occurs in up to 50 % of hospitalized old patients and is associated with increased morbidity and mortality. Acute medical conditions favor delirium, but the pathophysiology is unclear. Preliminary evidence from retrospective and prospective studies suggests that a substantial minority of old patients with unexplained delirium have non-convulsive seizures or status epilepticus (NCSE). Yet, seeking epileptic activity only in unexplained cases of delirium might result in misinterpretation of its actual prevalence. We aimed to systematically investigate the role of epileptic activity in all older patients with delirium regardless of the underlying etiology. Design, Setting: Prospective observational study in a tertiary medical center. Adults >65 years with delirium underwent at least 24 h of continuous electro-encephalographic monitoring (cEEG). Background patterns and ictal and interictal epileptic discharges were identified, as well as clinical and biological characteristics. Participants: Fifty patients were included in the study. Results: NCSE was found in 6 (12%) patients and interictal discharges in 15 (30%). There was no difference in the prevalence of epileptic activity rates between delirium associated with an acute medical condition and delirium of unknown etiology. Conclusion: Epileptic activity may play a substantial role in the pathophysiology of delirium by altering brain functioning and neuronal metabolism. No clinical or biological marker was found to distinguish delirious patients with or without epileptic activity, underlining the importance of cEEG in this context.
Collapse
Affiliation(s)
- Sara Sambin
- Neurology Department, ULB-Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Nicolas Gaspard
- Neurology Department, ULB-Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Benjamin Legros
- Neurology Department, ULB-Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Chantal Depondt
- Neurology Department, ULB-Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sandra De Breucker
- Geriatrics Department, ULB-Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Gilles Naeije
- Neurology Department, ULB-Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| |
Collapse
|
28
|
Abstract
After more than 85 years of development and use in clinical practice, the electroencephalogram (EEG) remains a dependable, inexpensive, and useful diagnostic tool for the investigation of the electrophysiologic activity of the brain. The advent of digital technology has led to greater sophistication and multiple software applications to extend the utility of EEG beyond the confines of the laboratory. Despite the discovery of new waveforms, basic neurophysiologic principles remain essential to the clinical care of patients. Patterns in the interictal EEG make it possible to clarify the differential diagnosis of paroxysmal neurological events, classify seizure type and epilepsy syndromes, and characterize and quantify seizures when ictal recordings are obtained. EEG can also demonstrate cerebral dysfunction when structural imaging is normal to detect focal or lateralized abnormalities in patients with encephalopathy. High-density EEG with electrical source imaging has improved localization in candidates for epilepsy surgery. Quantitative EEG and broadband EEG are advancing our understanding of the functional processes of the brain itself.
Collapse
Affiliation(s)
- Anteneh M Feyissa
- Department of Neurology, Mayo Clinic College of Medicine and Health Sciences, Jacksonville, FL, United States.
| | - William O Tatum
- Department of Neurology, Mayo Clinic College of Medicine and Health Sciences, Jacksonville, FL, United States
| |
Collapse
|
29
|
|
30
|
High Frequency Oscillations in the Ripple Band (80–250 Hz) in Scalp EEG: Higher Density of Electrodes Allows for Better Localization of the Seizure Onset Zone. Brain Topogr 2018; 31:1059-1072. [DOI: 10.1007/s10548-018-0658-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Accepted: 06/29/2018] [Indexed: 10/28/2022]
|
31
|
Abstract
PURPOSE OF REVIEW The overlap of neuropsychiatric illness and developmental disability continues to be prominently recognized in clinical practice and in the academic literature. Theoretical and practical considerations may represent a frontier for understanding brain and behavior relationships. The purpose of this review is to explore this common relationship and report on recent literature that helps advance the larger fields of psychiatry and neurology. RECENT FINDINGS Overlap between developmental disability, epilepsy, and neuropsychiatric illness may be more common than originally thought. Excessive excitatory neurotransmitter activity may be present in epilepsy and in autism spectrum disorder. Specific seizure types may be associated with features of developmental disabilities and neuropsychiatric conditions. SUMMARY Neuropsychiatric illness is common in epilepsy and more frequent in developmental disabilities than generally recognized. Seizure foci in the temporal lobe may play a significant role. Brain connectivity and specific neurotransmitter systems are active areas of investigation. Antiepileptic drugs may improve neuropsychiatric symptoms in persons with developmental disability and epilepsy.
Collapse
|
32
|
Dynamic functional disturbances of brain network in seizure-related cognitive outcomes. Epilepsy Res 2018; 140:15-21. [DOI: 10.1016/j.eplepsyres.2017.12.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 11/13/2017] [Accepted: 12/02/2017] [Indexed: 11/23/2022]
|
33
|
Hayashide JM, Buschinelli JTP. Critérios de decisão para a definição de exames médicos ocupacionais em atividades críticas: proposição de modelo e exemplos de aplicação no trabalho em altura. REVISTA BRASILEIRA DE SAÚDE OCUPACIONAL 2017. [DOI: 10.1590/2317-6369000128615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Resumo Introdução: no Brasil, tem-se observado uma grande disparidade entre os protocolos de exames médicos utilizados para avaliar trabalhadores que exercem atividades críticas. Objetivo: propor e verificar a aplicabilidade de um modelo baseado em critérios para a tomada de decisão na definição de exames médicos ocupacionais na avaliação de aptidão de trabalhadores que executam atividades críticas de trabalho. Métodos: ensaio baseado em pesquisa bibliográfica. O modelo proposto baseia-se no princípio As Low As Reasonably Practicable (ALARP), do Health and Safety Executive (HSE). O modelo foi aplicado a duas condições clínicas que podem resultar em eventos agudos de perda de consciência e levar à queda durante o trabalho em altura, caso falhem ou não tenham sido adotadas medidas de segurança: diabetes e epilepsia. Discussão: verificou-se que o modelo proposto se mostrou aplicável para os dois exemplos analisados, oferecendo subsídios para a tomada de decisão do médico do trabalho em relação à necessidade de se investigar condições clínicas que podem ocasionar acidentes fatais durante a realização de atividades críticas de trabalho.
Collapse
|
34
|
Vossel KA, Ranasinghe KG, Beagle AJ, Mizuiri D, Honma SM, Dowling AF, Darwish SM, Van Berlo V, Barnes DE, Mantle M, Karydas AM, Coppola G, Roberson ED, Miller BL, Garcia PA, Kirsch HE, Mucke L, Nagarajan SS. Incidence and impact of subclinical epileptiform activity in Alzheimer's disease. Ann Neurol 2016; 80:858-870. [PMID: 27696483 DOI: 10.1002/ana.24794] [Citation(s) in RCA: 330] [Impact Index Per Article: 41.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Revised: 09/26/2016] [Accepted: 09/27/2016] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Seizures are more frequent in patients with Alzheimer's disease (AD) and can hasten cognitive decline. However, the incidence of subclinical epileptiform activity in AD and its consequences are unknown. Motivated by results from animal studies, we hypothesized higher than expected rates of subclinical epileptiform activity in AD with deleterious effects on cognition. METHODS We prospectively enrolled 33 patients (mean age, 62 years) who met criteria for AD, but had no history of seizures, and 19 age-matched, cognitively normal controls. Subclinical epileptiform activity was assessed, blinded to diagnosis, by overnight long-term video-electroencephalography (EEG) and a 1-hour resting magnetoencephalography exam with simultaneous EEG. Patients also had comprehensive clinical and cognitive evaluations, assessed longitudinally over an average period of 3.3 years. RESULTS Subclinical epileptiform activity was detected in 42.4% of AD patients and 10.5% of controls (p = 0.02). At the time of monitoring, AD patients with epileptiform activity did not differ clinically from those without such activity. However, patients with subclinical epileptiform activity showed faster declines in global cognition, determined by the Mini-Mental State Examination (3.9 points/year in patients with epileptiform activity vs 1.6 points/year in patients without; p = 0.006), and in executive function (p = 0.01). INTERPRETATION Extended monitoring detects subclinical epileptiform activity in a substantial proportion of patients with AD. Patients with this indicator of network hyperexcitability are at risk for accelerated cognitive decline and might benefit from antiepileptic therapies. These data call for more sensitive and comprehensive neurophysiological assessments in AD patient evaluations and impending clinical trials. Ann Neurol 2016;80:858-870.
Collapse
Affiliation(s)
- Keith A Vossel
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
- Gladstone Institute of Neurological Disease, San Francisco, CA
| | - Kamalini G Ranasinghe
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Alexander J Beagle
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Danielle Mizuiri
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Susanne M Honma
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Anne F Dowling
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Sonja M Darwish
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Victoria Van Berlo
- Department of Neurology and Semel Institute for Neuroscience and Human Behavior in the Department of Psychiatry, University of California Los Angeles, Los Angeles, CA
| | - Deborah E Barnes
- Departments of Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
- Veterans Affairs Medical Center, San Francisco, CA
| | - Mary Mantle
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Anna M Karydas
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Giovanni Coppola
- Department of Neurology and Semel Institute for Neuroscience and Human Behavior in the Department of Psychiatry, University of California Los Angeles, Los Angeles, CA
| | - Erik D Roberson
- Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology and Neurobiology, University of Alabama at Birmingham, Birmingham, AL
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Paul A Garcia
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Heidi E Kirsch
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Lennart Mucke
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
- Gladstone Institute of Neurological Disease, San Francisco, CA
| | - Srikantan S Nagarajan
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| |
Collapse
|
35
|
Mohan L, Singh J, Singh Y, Kathrotia R, Goel A. Association of Interictal Epileptiform Discharges with Sleep and Anti-Epileptic Drugs. Ann Neurosci 2016; 23:230-234. [PMID: 27780990 DOI: 10.1159/000449483] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 06/29/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The presence of interictal epileptiform discharges (IEDs) in electroencephalogram (EEG) is diagnostic of epilepsy. Latent IEDs are activated during sleep. Anti-epileptic drugs (AEDs) improve sleep. AEDs, sleep, and IEDs may interact and affect epilepsy management. PURPOSE To explore the occurrence of IEDs and its association with sleep and AED status in suspected patients of epilepsy. METHODS EEG records were collected of suspected patients of epilepsy who reported to the electrophysiology laboratory of a tertiary care hospital during 1 year. The anthropometric details, clinical presentations, and AED status of the patients were recorded from the EEG records. Patients were divided into 2 categories based on whether AEDs had been started prior to the EEG evaluation (category-I) or not (category-II). The occurrences of IEDs in EEG recordings in both categories were analyzed. RESULTS In 1 year, 138 patients were referred for diagnostic EEG evaluation. One-hundred-two patients fulfilled the inclusion criteria, of which 57 patients (53%) belonged to category-I and 45 patients (47%) belonged to category-II. Incidence of IEDs, suggestive of definite diagnosis of epilepsy in category-I was 88% and in category-II was 69%, and this difference was statistically significant (p = 0.02). CONCLUSION The increased proportion of IEDs in category-I patients may be due to high clinical suspicion or compounding interaction of AEDs and sleep. More extensive studies are required to delineate the complex interaction of AEDs, sleep, and IEDs so that judicious yet prompt management of epilepsy can be carried out.
Collapse
Affiliation(s)
- Latika Mohan
- Department of Physiology, All India Institute of Medical Sciences, Rishikesh, India
| | - Jayvardhan Singh
- Department of Physiology, All India Institute of Medical Sciences, Rishikesh, India
| | - Yogesh Singh
- Department of Physiology, All India Institute of Medical Sciences, Rishikesh, India
| | - Rajesh Kathrotia
- Department of Physiology, All India Institute of Medical Sciences, Rishikesh, India
| | - Arun Goel
- Department of Physiology, All India Institute of Medical Sciences, Rishikesh, India
| |
Collapse
|
36
|
Syam UK, Thomas SV. Epileptiform activity in the electroencephalogram of 6-year-old children of women with epilepsy. Ann Indian Acad Neurol 2016; 19:318-22. [PMID: 27570381 PMCID: PMC4980952 DOI: 10.4103/0972-2327.179974] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Purpose: To study the epileptiform discharges (EDs) in the electroencephalogram (EEG) of 6-8-year-old children of women with epilepsy (WWE). Materials and Methods: All children born to women with epilepsy and prospectively followed up through the Kerala Registry of Epilepsy and Pregnancy (KREP), aged 6–8 years, were invited (n = 532). Out of the 254 children who responded, clinical evaluations and a 30-min digital 18 channel EEG were completed in 185 children. Results: Of the 185 children examined, 37 (20%) children (19 males, 18 females) had ED in their EEG. The EDs were generalized in 7 children, and focal in 30 children. The EDs were present in the sleep record only of 16 (43%) children and in the awake record only of 6 (16%) children. Out of the 94 children for whom seizure history was available, 7 children (7.4%) had seizures (neonatal seizures: 4, febrile seizure: 1, and single nonfebrile seizure: 2) and none had history of epilepsy or recurrent nonfebrile seizures. The odds ratio (OR) for occurrence of ED in the EEG was significantly higher for children of WWE [OR = 3.5, 95% confidence interval (CI) 2.3-6.0] when compared to the published data for age-matched children of mothers without epilepsy. There was no association between the occurrence of ED and the children's maternal characteristics [epilepsy syndrome, seizures during pregnancy, maternal intelligence quotient (IQ)] or the children's characteristics [antenatal exposure to specific antiepileptic drugs (AEDs), birth weight, malformations, IQ]. Conclusion: Children of WWE have a higher risk of epileptiform activity in their EEG when compared to healthy children in the community though none had recurrent seizures.
Collapse
Affiliation(s)
- Unnikrishnan Krishnan Syam
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Sanjeev V Thomas
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| |
Collapse
|
37
|
Bajorat R, Goerss D, Brenndörfer L, Schwabe L, Köhling R, Kirschstein T. Interplay between interictal spikes and behavioral seizures in young, but not aged pilocarpine-treated epileptic rats. Epilepsy Behav 2016; 57:90-94. [PMID: 26926072 DOI: 10.1016/j.yebeh.2016.01.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Revised: 01/11/2016] [Accepted: 01/12/2016] [Indexed: 10/22/2022]
Abstract
Interictal spike activity is commonly observed in the EEG of patients with epilepsy, but the causal interrelationship between interictal spikes and behavioral seizures is poorly understood. We performed long-term video-EEG monitoring of 16 epileptic rats after pilocarpine-induced status epilepticus and five control animals. To quantify the interplay between periods of spikes and seizures, we calculated the time spent with spikes as well as the time spent with seizures for each animal. Within a given subject, we found a significant correlation between these two measures in 7/11 young epileptic rats (<400 days); this correlation was positive in six cases and negative in one. By contrast, none of five aged pilocarpine-treated animals exhibited significant correlation coefficients between spike periods and seizures (>600 days, P<0.05). Instead, aged epileptic rats showed a prominent predominance for either spike periods or seizures, which might explain the absence of significant correlation in this population. We found that there is a significant interplay between interictal periods of spikes and behavioral seizures in young epileptic animals, but this association is absent during aging.
Collapse
Affiliation(s)
- Rika Bajorat
- Oscar Langendorff Institute of Physiology, University of Rostock, Germany; Dept. of Anesthesiology and Intensive Medicine, University of Rostock, Germany.
| | - Doreen Goerss
- Oscar Langendorff Institute of Physiology, University of Rostock, Germany.
| | - Linda Brenndörfer
- Oscar Langendorff Institute of Physiology, University of Rostock, Germany.
| | - Lars Schwabe
- Dept. of Computer Science and Electrical Engineering, University of Rostock, Germany.
| | - Rüdiger Köhling
- Oscar Langendorff Institute of Physiology, University of Rostock, Germany.
| | - Timo Kirschstein
- Oscar Langendorff Institute of Physiology, University of Rostock, Germany.
| |
Collapse
|
38
|
Sánchez Fernández I, Loddenkemper T, Galanopoulou AS, Moshé SL. Should epileptiform discharges be treated? Epilepsia 2015; 56:1492-504. [PMID: 26293670 DOI: 10.1111/epi.13108] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2015] [Indexed: 01/09/2023]
Abstract
To evaluate the impact of epileptiform discharges (EDs) that do not occur within seizure patterns--such as spikes, sharp waves or spike waves--on cognitive function and to discuss the circumstances under which treatment of EDs might be considered. Methods used in this article is "Review of the literature". EDs may disrupt short-term cognition in humans. Frequent EDs for a prolonged period can potentially impair long-term cognitive function in humans. However, there is conflicting evidence on the impact of EDs on long-term cognitive outcome because this relationship may be confounded by multiple factors such as underlying etiology, seizures, and medication effects. Limitations of existing studies include the lack of standardized ED quantification methods and of widely accepted automated spike quantification methods. Although there is no solid evidence for or against treatment of EDs, a non-evidence-based practical approach is suggested. EDs in otherwise asymptomatic individuals should not be treated because the risks of treatment probably outweigh its dubious benefits. A treatment trial for EDs may be considered when there is cognitive dysfunction or regression or neurologic symptoms that are unexplained by the underlying etiology, comorbid conditions, or seizure severity. In patients with cognitive or neurologic dysfunction with epilepsy or EDs, treatment may be warranted to control the underlying epileptic syndrome. EDs may cause cognitive or neurologic dysfunction in humans in the short term. There is conflicting evidence on the impact of EDs on long-term cognitive outcome. There is no evidence for or against treatment of asymptomatic ED.
Collapse
Affiliation(s)
- Iván Sánchez Fernández
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, U.S.A.,Department of Child Neurology, Hospital Sant Joan de Déu, University of Barcelona, Spain
| | - Tobias Loddenkemper
- Department of Child Neurology, Hospital Sant Joan de Déu, University of Barcelona, Spain
| | - Aristea S Galanopoulou
- Saul R. Korey Department of Neurology, Dominick P. Purpura Department of Neuroscience, Laboratory of Developmental Medicine, Montefiore/Einstein Epilepsy Management Center, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, U.S.A
| | - Solomon L Moshé
- Saul R. Korey Department of Neurology, Dominick P. Purpura Department of Neuroscience, Laboratory of Developmental Medicine, Montefiore/Einstein Epilepsy Management Center, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, U.S.A.,Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, U.S.A
| |
Collapse
|
39
|
Boutros NN, Lajiness-O’Neill R, Zillgitt A, Richard AE, Bowyer SM. EEG changes associated with autistic spectrum disorders. ACTA ACUST UNITED AC 2015. [DOI: 10.1186/s40810-014-0001-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
|
40
|
Rosenow F, Klein KM, Hamer HM. Non-invasive EEG evaluation in epilepsy diagnosis. Expert Rev Neurother 2015; 15:425-44. [DOI: 10.1586/14737175.2015.1025382] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
41
|
Seidel S, Pablik E, Aull-Watschinger S, Seidl B, Pataraia E. Incidental epileptiform discharges in patients of a tertiary centre. Clin Neurophysiol 2015; 127:102-107. [PMID: 25802204 DOI: 10.1016/j.clinph.2015.02.056] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 02/11/2015] [Accepted: 02/26/2015] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This controlled study set out to assess the rate of incidental epileptiform discharges (ED) during routine EEG and the incidence of epilepsy within a 4-year follow-up period in patients without a history of epilepsy. METHODS We retrospectively analyzed electroencephalography (EEG) recordings of 1750 consecutive patients referred to the Department of Neurology at the Vienna General Hospital between January 1 and December 31, 2009. The incidence of epilepsy in patients with ED and no prior history of epilepsy was compared with a disease control group matched for gender and neuroimaging findings. RESULTS ED were identified in 26 (4%) of 629 patients without a history of epilepsy. Sixteen (62%) of these patients developed epilepsy during follow-up compared with five (19%) of the disease controls (p=0.01), yielding an adjusted odds ratio of 8.8 (95% CI 2.1-37.7) for developing epilepsy in patients with ED and no prior history of epilepsy. CONCLUSIONS Incidental ED during routine EEG significantly increase the likelihood of developing epilepsy. SIGNIFICANCE Patients with incidental ED should be specifically asked for any signs and symptoms suggestive of seizures, since they appear more prone to develop epilepsy.
Collapse
Affiliation(s)
- Stefan Seidel
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria.
| | - Eleonore Pablik
- Department of Medical Statistics, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Susanne Aull-Watschinger
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Birgit Seidl
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Ekaterina Pataraia
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| |
Collapse
|
42
|
Podsonnaya IV, Shumacher GI, Efremushkin GG, Gelobetskaya ED. Formation of paroxysmal brain activity in the liquidators of the consequences of the Chernobyl nuclear disaster. Zh Nevrol Psikhiatr Im S S Korsakova 2015; 115:71-76. [DOI: 10.17116/jnevro201511510171-76] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
43
|
Abstract
In patients being evaluated for epilepsy and in animal models of epilepsy, electrophysiological recordings are carried to capture seizures to determine the existence of epilepsy. Electroencephalography recordings from the scalp, or sometimes directly from the brain, are also used to locate brain areas where seizure begins, and in surgical treatment help plan the area for resection. As seizures are unpredictable and can occur infrequently, ictal recordings are not ideal in terms of time, cost, or risk when, for example, determining the efficacy of existing or new anti-seizure drugs, evaluating potential anti-epileptogenic interventions, or for prolonged intracerebral electrode studies. Thus, there is a need to identify and validate other electrophysiological biomarkers of epilepsy that could be used to diagnose, treat, cure, and prevent epilepsy. Electroencephalography recordings in the epileptic brain contain other interictal electrophysiological disturbances that can occur more frequently than seizures, such as interictal spikes (IIS) and sharp waves, and from invasive studies using wide bandwidth recording and small diameter electrodes, the discovery of pathological high-frequency oscillations (HFOs) and microseizures. Of IIS, HFOs, and microseizures, a significant amount of recent research has focused on HFOs in the pathophysiology of epilepsy. Results from studies in animals with epilepsy and presurgical patients have consistently found a strong association between HFOs and epileptogenic brain tissue that suggest HFOs could be a potential biomarker of epileptogenicity and epileptogenesis. Here, we discuss several aspects of HFOs, as well as IIS and microseizures, and the evidence that supports their role as biomarkers of epilepsy.
Collapse
Affiliation(s)
- Richard J Staba
- David Geffen School of Medicine at UCLA, Department of Neurology, Room 2-155, 710 Westwood Plaza, Los Angeles, CA, 90095, USA,
| | | | | |
Collapse
|
44
|
“Ectopic” theta oscillations and interictal activity during slow-wave state in the R6/1 mouse model of Huntington's disease. Neurobiol Dis 2012; 48:409-17. [DOI: 10.1016/j.nbd.2012.07.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2012] [Revised: 07/12/2012] [Accepted: 07/17/2012] [Indexed: 01/29/2023] Open
|
45
|
Jaseja H, Jaseja B, Badaya S, Tonpay P. Treatment of interictal epileptiform discharges (IEDs) in patients with cerebral palsy for an improved prognostic outcome and quality of life: emerging evidence. Epilepsy Behav 2012; 25:473. [PMID: 23092695 DOI: 10.1016/j.yebeh.2012.08.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2012] [Accepted: 08/11/2012] [Indexed: 02/08/2023]
|
46
|
|
47
|
Foldvary-Schaefer N, Grigg-Damberger MM. Identifying Interictal and Ictal Epileptic Activity in Polysomnograms. Sleep Med Clin 2012. [DOI: 10.1016/j.jsmc.2012.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
|
48
|
Ricardo JAG, França Jr. MC, Lima FO, Yassuda CL, Cendes F. The impact of EEG in the diagnosis and management of patients with acute impairment of consciousness. ARQUIVOS DE NEURO-PSIQUIATRIA 2012; 70:34-9. [DOI: 10.1590/s0004-282x2012000100008] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2011] [Accepted: 08/29/2011] [Indexed: 11/21/2022]
Abstract
OBJECTIVES: To assess the frequency of electroencephalogram (EEG) requests in the emergency room (ER) and intensive care unit (ICU) for patients with impairment of consciousness (IC) and its impact in the diagnosis and management. METHODS: We followed patients who underwent routine EEG from ER and ICU with IC until discharge or death. RESULTS: During the study, 1679 EEGs were performed, with 149 (8.9%) from ER and ICU. We included 65 patients and 94 EEGs to analyze. Epileptiform activity was present in 42 (44.7%). EEG results changed clinical management in 72.2% of patients. The main reason for EEG requisition was unexplained IC, representing 36.3% of all EEGs analyzed. Eleven (33%) of these had epileptiform activity. CONCLUSION: EEG is underused in the acute setting. The frequency of epileptiform activity was high in patients with unexplained IC. EEG was helpful in confirming or ruling out the suspected initial diagnosis and changing medical management in 72% of patients.
Collapse
|
49
|
Millichap JG, Millichap JJ, Stack CV. Utility of the electroencephalogram in attention deficit hyperactivity disorder. Clin EEG Neurosci 2011; 42:180-4. [PMID: 21870470 DOI: 10.1177/155005941104200307] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
An electroencephalogram (EEG) has not been routinely utilized in the evaluation of children with attention deficit hyperactivity disorder (ADHD). The utility of the EEG in ADHD is unclear. A recent study in our laboratory using sleep and sleep deprivation routinely found one in four non-epileptic children evaluated for attention deficit disorder has epileptiform discharges in the EEG, more than half focal. The majority of abnormalities (97.5%) occur in sleep and sleep-deprived records compared to 7% in prior wake only records. A review of eight publications showed that laboratories using awake only as routine EEG recordings report a relatively low prevalence of epileptiform discharges, whereas the higher prevalence of epileptiform discharges is seen in those with more prolonged sleep recordings. We have determined that sleep deprivation and sleep are essential to rule out an abnormal EEG in attention deficit disorder. In patients with attention deficit disorder complicated by epilepsy, stimulant therapy is generally safe, provided seizures are controlled by antiepileptic medication. Patients with epilepsy or subclinical electrographic abnormalities not treated with anticonvulsants are at increased risk of seizures when stimulant therapy is introduced, especially extended-release methylphenidate. Apart from an increase in risk of seizures and need for caution in use of stimulants, studies show that epileptiform discharges in the electroencephalogram are linked to a better response of attention deficit to methylphenidate and a higher cognitive performance. Transient cognitive impairment related to subclinical electrographic abnormalities responds to antiepileptic medication. An EEG is important in selected cases of attention deficit disorder and is useful in choice of medication, especially in children with lack of awareness and transient cognitive impairment.
Collapse
Affiliation(s)
- J Gordon Millichap
- Division of Neurology, Epilepsy Center, Children's Memorial Hospital, Northwestern University Medical School, Chicago, IL 60614, USA.
| | | | | |
Collapse
|
50
|
Interictal Epileptiform Discharges and Epilepsy Prediction. J Clin Neurophysiol 2011; 28:75; author reply 75. [DOI: 10.1097/wnp.0b013e3182051387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
|