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Routine and sleep EEG: Minimum recording standards of the International Federation of Clinical Neurophysiology and the International League Against Epilepsy

Maria Peltola, Markus Leitinger, Jonathan J. Halford, Kollencheri Puthenveettil Vinayan, Katsuhiro Kobayashi, Ronit Pressler, Ioana Mı̂ndruță, Luis Carlos Mayor, Leena Lauronen, Sándor Beniczky

2023Epilepsia53 citationsDOIOpen Access PDF

Abstract

This article provides recommendations on the minimum standards for recording routine ("standard") and sleep electroencephalography (EEG). The joint working group of the International Federation of Clinical Neurophysiology (IFCN) and the International League Against Epilepsy (ILAE) developed the standards according to the methodology suggested for epilepsy-related clinical practice guidelines by the Epilepsy Guidelines Working Group. We reviewed the published evidence using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement. The quality of evidence for sleep induction methods was assessed by the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) method. A tool for Quality Assessment of Diagnostic Studies (QUADAS-2) was used to assess the risk of bias in technical and methodological studies. Where high-quality published evidence was lacking, we used modified Delphi technique to reach expert consensus. The GRADE system was used to formulate the recommendations. The quality of evidence was low or moderate. We formulated 16 consensus-based recommendations for minimum standards for recording routine and sleep EEG. The recommendations comprise the following aspects: indications, technical standards, recording duration, sleep induction, and provocative methods.

Topics & Concepts

Clinical neurophysiologyGrading (engineering)Delphi methodElectroencephalographyEpilepsyQuality of evidenceDelphiMedicinePsychologyPsychiatryMeta-analysisComputer scienceArtificial intelligenceInternal medicineEngineeringOperating systemCivil engineeringEpilepsy research and treatmentEEG and Brain-Computer InterfacesNeonatal and fetal brain pathology
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