Literature DB >> 28984246

The role of EEG in the diagnosis and classification of the epilepsy syndromes: a tool for clinical practice by the ILAE Neurophysiology Task Force (Part 1).

Michalis Koutroumanidis1, Alexis Arzimanoglou2, Roberto Caraballo3, Sushma Goyal4, Anna Kaminska5, Pramote Laoprasert6, Hirokazu Oguni7, Guido Rubboli8, William Tatum9, Pierre Thomas10, Eugen Trinka11, Luca Vignatelli12, Solomon L Moshé13.   

Abstract

The concept of epilepsy syndromes, introduced in 1989, was defined as "clusters of signs and symptoms customarily occurring together". Definition of epilepsy syndromes based on electro-clinical features facilitated clinical practice and, whenever possible, clinical research in homogeneous groups of patients with epilepsies. Progress in the fields of neuroimaging and genetics made it rapidly clear that, although crucial, the electro-clinical description of epilepsy syndromes was not sufficient to allow much needed development of targeted therapies and a better understanding of the underlying pathophysiological mechanisms of seizures. The 2017 ILAE position paper on Classification of the Epilepsies recognized that "as a critical tool for the practicing clinician, epilepsy classification must be relevant and dynamic to changes in thinking". The concept of "epilepsy syndromes" evolved, incorporating issues related to aetiologies and comorbidities. A comprehensive update (and revision where necessary) of the EEG diagnostic criteria in the light of the 2017 revised terminology and concepts was deemed necessary. The work was commissioned by the Neurophysiology Task Force of the ILAE Committee on the Diagnostic Methods. Diagnostic criteria and recording procedures were developed by group consensus, reached through an "informal", internal decision-making process. Each working group member was allocated a number of syndromes, and a standard structured template was used. International literature was extensively reviewed. We developed a simple diagnostic system that is applicable to all epilepsy syndromes which allows the physician (i) to rate the strength of EEG diagnosis (degree of diagnostic certainty) by weighting EEG findings in relation to the available clinical information or the specific clinical question, and ii) to suggest further EEG diagnostics where conclusive diagnostic evidence is lacking. We also propose a system of syndrome-specific recording protocols that, used with the relevant clinical presentation or specific clinical question, may maximize activation of epileptic discharges and ultimately help with standardization of EEG recording across departments, worldwide. Because recording methodology also depends on available resources, a two-tier system was developed to embrace clinical EEG services in resource-limited and industrialized countries. A clinical practice statement for each of the epilepsy syndromes discussed underscores the crucial role of the clinical information with regards to both the optimization of the EEG recording and mainly its meaningful interpretation. Part I covers Genetic (Idiopathic) generalized epilepsies and syndromes, Reflex epilepsies, structural and genetic focal (lobar) syndromes and Progressive Myoclonus Epilepsies [Published with educational EEG plates on www.epilepticdisorders.com].

Entities:  

Keywords:  EEG and epilepsy diagnosis; EEG protocols; epilepsy syndromes

Mesh:

Year:  2017        PMID: 28984246     DOI: 10.1684/epd.2017.0935

Source DB:  PubMed          Journal:  Epileptic Disord        ISSN: 1294-9361            Impact factor:   1.819


  13 in total

1.  Yield of video electro encephalography for phase 1 pre-surgical evaluation of drug resistant epilepsy in 1200 adults: retrospective study from a tertiary center situated in a lower-middle-income country.

Authors:  Mayank Shrivastava; Ajay Asranna; Raghavendra Kenchiah; Ravindranath Mundlamuri; Lakshminarayanapuram G Viswanathan; Karthik Kulanthaivelu; Rose Dawn Bharath; Jitender Saini; Nishanth Sadashiva; Arivazhagan Arimappamagan; Anita Mahadevan; Jamuna Rajeswaran; Bhaskara Rao Malla; Sanjib Sinha
Journal:  Acta Neurol Belg       Date:  2022-07-30       Impact factor: 2.471

Review 2.  Electroencephalogram and heart rate variability features as predictors of responsiveness to vagus nerve stimulation in patients with epilepsy: a systematic review.

Authors:  Sarosh Irfan Madhani; Mehdi Abbasi; Yang Liu; Jorge Arturo Larco; Evan Nicolai; Gregory Worrell; Luis Savastano
Journal:  Childs Nerv Syst       Date:  2022-09-22       Impact factor: 1.532

3.  Levetiracetam Modulates EEG Microstates in Temporal Lobe Epilepsy.

Authors:  Lorenzo Ricci; Pierpaolo Croce; Patrizia Pulitano; Marilisa Boscarino; Filippo Zappasodi; Flavia Narducci; Jacopo Lanzone; Biagio Sancetta; Oriano Mecarelli; Vincenzo Di Lazzaro; Mario Tombini; Giovanni Assenza
Journal:  Brain Topogr       Date:  2022-09-13       Impact factor: 4.275

Review 4.  Impact of predictive, preventive and precision medicine strategies in epilepsy.

Authors:  Rima Nabbout; Mathieu Kuchenbuch
Journal:  Nat Rev Neurol       Date:  2020-10-19       Impact factor: 42.937

5.  Impaired Visual Habituation in Idiopathic Generalized Epilepsy with Photosensitivity Patients.

Authors:  Demet İlhan Algin; Oğuz Osman Erdinç
Journal:  Noro Psikiyatr Ars       Date:  2018-04-20       Impact factor: 1.339

6.  An automated, machine learning-based detection algorithm for spike-wave discharges (SWDs) in a mouse model of absence epilepsy.

Authors:  Jesse A Pfammatter; Rama K Maganti; Mathew V Jones
Journal:  Epilepsia Open       Date:  2019-02-06

7.  Morphological Description of Frontal EEG Interictal and Ictal Discharges in an Adult Cohort of 175 Patients.

Authors:  Beatriz García-López; María Sueiras-Gil; Ana Isabel Gómez-Menéndez; Fernando Vázquez-Sánchez; María Carmen Lloria-Gil; Jerónimo J González-Bernal; Josefa González-Santos; Mirian Santamaría-Pelaéz; Raúl Soto-Cámara; Troels Wesenberg Kjaer
Journal:  J Clin Med       Date:  2021-03-15       Impact factor: 4.241

8.  Application of a convolutional neural network for fully-automated detection of spike ripples in the scalp electroencephalogram.

Authors:  Jessica K Nadalin; Uri T Eden; Xue Han; R Mark Richardson; Catherine J Chu; Mark A Kramer
Journal:  J Neurosci Methods       Date:  2021-06-04       Impact factor: 2.987

9.  Electrocorticographic patterns dominated by low-frequency waves in camphor-induced seizures.

Authors:  Luan Oliveira Ferreira; Rafael Dias de Souza; Fabrício de Araújo Silva; Francisco Fabrizio Moraes Costa; Rômulo Augusto Feio Farias; Akira Otake Hamoy; Vanessa Jóia de Mello; Dielly Catrina Favacho Lopes; Moisés Hamoy
Journal:  Sci Rep       Date:  2020-10-26       Impact factor: 4.379

10.  Study of electroencephalography in people with generalized epilepsy in a Saudi population.

Authors:  Lukman Femi Owolabi; AbdulRazeq Ahmed Reda; Raafat El Sayed; Dina Fares Mohamed Morsy; Okezie Oguamanam Enwere; Uchechukwu Agbese Mba; Bappa Adamu; Mushabab AlGhamdi
Journal:  J Community Hosp Intern Med Perspect       Date:  2020-10-29
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