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Non-unitary reproducibility of an EEG-DMN-like sensor-level proxy: metric-family, task-window and paradigm effects across internally oriented tasks.

Salvador Herrera-Pérez, Vanessa Moscardó, Patricia López Mases, Esther Lázaro

Neuroimage September 8, 2026 DOI: 10.1016/j.neuroimage.2026.122204 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational replication study with independent external validation cohort Peer reviewed
Sample size 96
Population Primary cohort of 60 adults (61-channel EEG) performing MATH, MEMORY and MUSIC tasks; external validation cohort of 36 adults (19-channel EEG) performing mental arithmetic
Measures Cohen's dz, 95% bootstrap confidence intervals
Topics Default mode network
Keywords Humans Electroencephalography Alpha rhythm Reproducibility of results Memory Music Female Young adult EEG Default-mode network dmn Component-specific reproducibility Estimator dependence External cohort validation
Key findings Posterior alpha suppression and frontal theta enhancement were directionally consistent across tasks (dz = 0.21-0.47), but connectivity replication depended on estimator family: lag-tolerant estimators showed small-to-moderate effects (dz ≈ 0.20-0.43) in MEMORY and MUSIC and attenuated in MATH, while zero-lag-suppressing estimators failed the replication criterion. The external cohort confirmed direction rather than magnitude. The authors argue the pattern is best interpreted as a proxy of rest-to-internally-oriented-cognition state transitions rather than a unitary default-mode-network biomarker.

Abstract

Background: Posterior α suppression, frontal θ enhancement and fronto-posterior α-band coupling are routinely interpreted together as an 'EEG-DMN-like' rest-to-task marker. Whether they replicate as a unitary pattern or dissociate across metric families, task windows and cognitive paradigms remains insufficiently characterised within a single harmonised pipeline.

Methods: ds004148 (n = 60; 61-channel EEG; three internally oriented tasks: MATH, MEMORY and MUSIC) was the primary cohort, and EEGMAT (n = 36; 19-channel EEG; mental arithmetic) the independent external validation cohort. Spectral, topographic and connectivity metrics were computed under a per-subject θ-localised 60-s primary window with a fixed central 60-s sensitivity window. Six connectivity estimators covering phase-lag-tolerant, zero-lag-suppressing and amplitude-envelope families were computed. Replication required the expected direction, Cohen's dz ≥ 0.2 and a 95 % bootstrap CI excluding zero. Reference-scheme sensitivity analyses (original online reference and REST) were also performed.

Results: Posterior α suppression and frontal θ enhancement were directionally consistent across the three ds004148 tasks (dz = 0.21-0.47) with topographically coherent posterior α clusters. Under the central window, MATH α/α₁ fell to near zero and MEMORY frontal θ dropped below threshold. Lag-tolerant connectivity reached small-to-moderate effects in MEMORY and MUSIC (dz ≈ 0.20-0.43) and attenuated in MATH; zero-lag-suppressing estimators failed the replication criterion across cohort/task cells. EEGMAT confirmed direction rather than magnitude. Direction was preserved under montage harmonisation and both alternative reference schemes (0/16 sign changes under REST), with near-threshold per-metric attenuations.

Conclusions: The sensor-level EEG-DMN-like pattern is best interpreted, within the limits of the present evidence, as a proxy of the rest-to-internally-oriented-cognition state transition rather than as a unitary biomarker of default-mode network activity. Reproducibility is component-, window- and estimator-specific: the spectral signature is directionally robust across cohorts, references and montage densities, whereas connectivity depends critically on estimator family and should be reported as such.

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