Outcome-Blind EEG Microstate Topography After Cardiac Arrest: Spatial Expression of a Lateralized Microstate and Association with Neurological Outcome.
An outcome-blind EEG microstate decomposition in comatose cardiac arrest survivors identified a frozen microstate, M2, whose global explained variance was reproducibly associated with neurological outcome, but modest standalone discrimination suggests it complements rather than replaces established prognostic markers.
Key Findings
Results
M2 global explained variance (GEV) was higher in comatose cardiac arrest survivors with favorable neurological outcome than in those with unfavorable outcome.
Primary analysis included 567 patients: 209 favorable (CPC 1-2) and 358 unfavorable (CPC 3-5) from the multicenter I-CARE/PhysioNet database.
Median M2 GEV was 0.0852 in favorable vs. 0.0564 in unfavorable outcome (rank-biserial correlation = 0.185).
p = 0.000243; FDR-adjusted p = 0.000568 within the four-state GEV family.
Results
M2 GEV was inversely associated with CPC severity.
Spearman rho = -0.144; p = 0.000583.
FDR-adjusted p = 0.001419.
Results
Standalone discrimination of neurological outcome by M2 GEV was modest.
ROC analysis yielded an AUC of 0.59 (95% CI 0.54-0.64).
The author concludes M2 GEV is not a standalone prognostic test.
Results
M2 GEV remained independently associated with favorable outcome after adjustment for age, sex, and shockable rhythm.
Extended cohort without ROSC time (N = 535): each 1-SD increase in M2 GEV had OR 1.30 (95% CI 1.07-1.58; p = 0.0092).
Adjustment covariates were age, sex, and shockable rhythm.
Results
The association persisted after additionally adjusting for ROSC time in a smaller complete-case cohort.
Complete-case model (N = 292): OR 1.47 (95% CI 1.10-1.97) per 1-SD increase in M2 GEV; p = 0.0087.
Results
M2 GEV showed a graded association with outcome across quartiles without evidence of nonlinearity.
Dose-response analysis across M2 GEV quartiles showed a graded relationship.
No evidence of nonlinearity was observed.
Results
The M2 GEV association was robust to multiple sensitivity and resampling analyses.
Results remained directionally stable under winsorization, exclusion of distributional extremes, and heteroscedasticity-consistent standard errors.
Also stable under bootstrap resampling, leave-one-out analysis, and repeated leave-five-out perturbations.
Results held when accounting for recording-center clustering.
Results
Conventional temporal microstate parameters of M2 (coverage, mean duration, occurrence) were not significantly associated with outcome after multiplicity correction.
Prognostic information was related primarily to how much of the global EEG field M2 explained rather than to its temporal dynamics.
Methods
The microstate pipeline was outcome-blind and prespecified, using a frozen K = 4 solution backfitted to individual patients.
Inclusion required continuous 19-channel recordings of at least 300 s; 567 subjects included and 34 excluded at preflight.
Used a fixed 300-s continuous baseline window, GFP-peak sampling capped at 500 peaks per patient, and polarity-invariant clustering across K = 2-10.
After model-order evaluation, the K = 4 solution was frozen and backfitted at the patient level.
Conclusions
The author interprets M2 GEV as a marker of residual large-scale spatial organization that complements established clinical and background EEG markers.
Microstate architecture may offer a complementary description of electrophysiological organization after hypoxic-ischemic brain injury.
What This Means
This study re-analyzed EEG recordings from 567 comatose survivors of cardiac arrest in a large public database. Instead of looking at traditional EEG features like signal strength or suppression, it used 'microstates'—brief, recurring patterns of electrical activity across the scalp—identified without knowing patient outcomes. One of four patterns, called M2, accounted for more of the brain's overall electrical activity in patients who later had good neurological recovery than in those who did not.
The link between M2 and outcome held up after accounting for age, sex, and whether the heart rhythm was shockable, and after many statistical stress tests. Patients with higher M2 values had higher odds of a favorable outcome, and the relationship was graded. However, the effect was modest: by itself, M2 distinguished good from poor outcomes only slightly better than chance (AUC 0.59). How often M2 appeared or how long it lasted was not meaningfully related to outcome.
This research suggests that the spatial organization of brain activity after cardiac arrest carries some additional information about recovery. It does not suggest that M2 could replace existing prognostic tools; rather, it may serve as a complementary piece of information alongside clinical and standard EEG findings. Because this was a secondary analysis of existing data, the findings would need confirmation in further studies.
Machado C. (2026). Outcome-Blind EEG Microstate Topography After Cardiac Arrest: Spatial Expression of a Lateralized Microstate and Association with Neurological Outcome.. Brain topography. https://doi.org/10.1007/s10548-026-01267-7