Commun Biol April 2020 PMID 31508502

Alpha rhythm collapse predicts iso-electric suppressions during anesthesia.

Jérôme Cartailler, Pierre Parutto, Cyril Touchard, Fabrice Vallée, David Holcman

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Mentions

Peak: 12 in Sep 2019

across 2 sources since Sep 2019

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Sep 2019 – Jul 2025

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AI synopsis

What people are saying

Discussions highlight the research's importance by referencing the predictive capabilities of alpha rhythm analysis, with phrases like 'prediction of iso-electric suppressions during anesthesia' demonstrating a focus on safety and scientific advancement. The tone is generally positive and curious, reflecting appreciation for the methodological innovation and potential implications in anesthesia safety.

AgreementModerate agreement

Most discussions acknowledge the significance of the research, with comments like 'predicts iso-electric suppressions' and references to the study’s contributions.

InterestHigh interest

Participants express high interest with enthusiastic mentions of the findings, such as 'out in Comm Bio' and signaling excitement about the research.

EngagementModerate engagement

Comments include references to methods and potential applications, indicating a moderate level of thoughtful engagement.

ImpactModerate impact

The mention of predicting brain activity during anesthesia and improvements in safety suggest a perceivable but modest impact of the work.

Abstract in brief

The study investigates how patterns in EEG signals, particularly the alpha rhythm (8-14Hz), can predict the onset of Isoelectric Suppressions (IES), which are dangerous brain activity patterns observed during states like deep anesthesia or brain injuries.
Researchers focused on the early changes in alpha rhythm suppression in 80 patients under propofol anesthesia and found that the timing and duration of these alpha suppressions can forecast IES occurrences with high accuracy using machine learning.
The findings suggest that analyzing transient EEG motifs, especially in the alpha rhythm, can help identify patients at higher risk of complications by predicting IES early, potentially improving anesthesia safety and patient outcomes.]

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All mentions

Using Alpha Rhythm Analysis to Predict Deep Anesthesia Risks

This video explores how EEG signal patterns, especially alpha rhythm suppression, can predict dangerous brain activity during anesthesia, potentially improving patient safety through early detection of ictal events.

David Holcman · Oct 18, 2022 395 views

Predicting Brain Activity During Anesthesia Using EEG Alpha Rhythms

The study explores how EEG patterns, especially alpha rhythm collapse, predict dangerous brain activity known as Isoelectric Suppressions during deep anesthesia. Using machine learning, early detection can improve…

David Holcman · Jul 6, 2025 45 views

Real-time Brain Monitoring Using Electrode Technology for Predicting Anesthesia Risks

This video discusses how EEG signal patterns, especially the alpha rhythm, can predict dangerous brain activity during anesthesia. Early detection of Isoelectric Suppressions using machine learning may enhance patient…

David Holcman · Jul 6, 2025 32 views

Predicting Brain Suppressions During Anesthesia Using EEG Alpha Patterns

This study investigates how EEG alpha rhythm patterns can predict isoelectric suppressions, which are dangerous brain activity during anesthesia. Analyzing changes in alpha rhythm can help forecast IES, improving…

David Holcman · Jul 6, 2025 24 views

SignalMed+

@MedSignal · X

Our general approach in mathematical modeling, simulations and analysis to predict the depth of Anesthesia https://t.co/d2fdakl3uu

Feb 17, 2023 · 2 followers View post →

SDTech

@SDTech_Groupe · X