Evidence map›Paper›PMID 42292231›Full record

ArticleFrontiers in medicine2026

Reliability of EEG in brain death diagnosis: an analysis of clinical and technical factors.

Manuel Hinsberger, Adam Strzelczyk, Michael Strüber, Florian J Raimann, Felix Rosenow, Laurent M Willems

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Manuel HinsbergerEpilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.
Adam StrzelczykEpilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.
Michael StrüberEpilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.
Florian J RaimannDepartment of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.
Felix RosenowEpilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.
Laurent M WillemsEpilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In brain death determination (BDD), electroencephalography (EEG) is a commonly used diagnostic method in Germany for proving irreversibility of previously clinically proven loss of brain function. Despite the comprehensive availability of EEG in intensive care units, the reliability of EEG readings is often limited by biological or technical artefacts. This study aimed to determine the detection rate of electrocerebral inactivity (ECI) with a special focus on reliability and challenges of using EEG in BDD. Methods: A retrospective monocentric analysis of all BDD EEG data acquired from January 2015 to December 2025 at our tertiary care hospital was conducted. All identified BDD EEG reports were systematically analysed for their evaluability and for technical and biological artefacts. In addition, sociodemographic and patient-specific parameters that could influence the accuracy of EEG readings (e.g., craniotomies or intracranial drainages) were recorded. Results: A total of 47 BDD EEG reports from 42 patients (women: 38.1%, mean age: 48.4 ± 14.4 years, median age: 52 years, age range: 21-78 years) were identified. In 81.0% of the patients, BDD could be confirmed using EEG. While biological artefacts did not significantly limit the evaluability of the EEG readings ( Discussion: We conclude that EEG is a reliable diagnostic tool in BDD in most cases if technically accurately recorded. Further studies are required to optimise existing technical errors in selected patients to increase the already high level of methodological reliability.

Indexed as

anoxic brain injuryelectroencephalographyhypoxic brain injuryintensive careneurocritical careorgan donationresuscitation

Identifiers

PMID42292231
PMCPMC13260170

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.