What Static Connectivity Misses: Dynamic Alpha-Band Brain Network States in First-Episode Psychosis.

Published September 11, 2026. Tracking changing EEG network patterns added information about psychosis beyond time-averaged measures. This is promising assessment research, not a diagnostic or treatment tool.

Aubonnet R, Hassan M, Gargiulo P, Seri S, Di Lorenzo G.
Brain topography · Publication date: 2026-09-11
Added to site: 2026-09-16
DOI: 10.1007/s10548-026-01249-9

Original publication date verified from the authoritative indexed record; separate from the date added to this site.

Modalities

EEG, QEEG, eLORETA

Clinical focus

Psychosis, Brain networks

Population

First-episode psychosis and healthy comparison participants

Sample

78 patients and 60 controls; medication subgroups of 51 and 27 patients

Intervention / method

Alpha-band eLORETA source connectivity clustered into five time-varying network states

Comparator

Healthy controls; static versus dynamic analysis and medication subgroups

Clinician summary

Dynamic state metrics showed selective associations with cognition and thought disorder. Broad group differences were limited; medicated and unmedicated subgroups did not differ significantly in direct comparison.

How to interpret the findings

Retrospective, cross-sectional, alpha-only analysis. Correlations were not corrected across all metrics; small subgroups and modeling choices require independent replication. Medication effects cannot be inferred causally.

Equipment and disclosures

60-channel EEG recorded using an Elekta Neuromag Vectorview system; eLORETA analysis.

Publisher sections report Tor Vergata, MUR/NRRP MNESYS and Région Bretagne support; authors declare no conflicts. Abstract plus methods, limitations and disclosures checked.

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