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June 6, 20260 citationsOpen Access

Electroencephalography Microstate Instability and Clinical Outcomes in Individuals at Clinical High Risk of Psychosis.

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MLMatthias LiebrandHHHolly HamiltonBRBrian J. Roach

Key Points

  • This research aims to examine the association between EEG microstate features and clinical outcomes in individuals at clinical high risk of psychosis.
  • Baseline EEG microstate data were collected from individuals at clinical high risk of psychosis and healthy controls during resting-state conditions.
  • Participants were followed up for 24 months to assess clinical outcomes including conversion to psychosis.
  • Data were analyzed based on EEG microstate coverage, duration, and occurrence across distinct microstate classes.
  • Individuals at clinical high risk exhibited reduced microstate duration (Cohen d, 0.28; 95% CI, 0.07 to 0.49) and increased occurrence (Cohen d, 0.12; 95% CI, 0.03 to 0.21) compared to healthy controls.
  • CHR converters displayed greater microstate instability compared to both remission and healthy control groups.
  • Lower microstate stability correlated with earlier conversion to psychosis and increased positive symptoms, indicating its potential as a prognostic biomarker.

Abstract

Importance Clinical criteria for identifying individuals at clinical high risk of psychosis (CHR) have been established, but their predictive accuracy remains insufficient for guiding treatment decisions. Identifying reliable biomarkers associated with mechanisms of illness and treatment in individuals at CHR is therefore a central research goal. Here, we consider resting-state electroencephalography (EEG) microstates as such a potential biomarker.Objective To determine whether EEG microstate features are associated with future conversion to psychosis and other future clinical outcomes in individuals at CHR.Design, Setting, And Participants Baseline EEG microstate data were collected from October 2009 through August 2014 as part of the 8-site case-control North American Prodrome Longitudinal Study-2 (NAPLS-2) during eyes-open resting-state conditions with continuous auditory white noise. Data were recorded from healthy control (HC) individuals and participants at CHR, including those at CHR with conversion to psychosis (CHR-C) and those with nonconversion (CHR-NC), followed up for 24 months. Individuals with CHR-NC were further divided into those with remission (CHR-R) or those with ongoing symptomatology (CHR-S) subgroups. A total of 241 individuals at CHR (52.4%) completed the full 24-month follow-up. Data were analyzed between January and November 2025.Main Outcomes And Measures Resting-state EEG microstate features (coverage, duration, and occurrence) across 7 distinct microstate classes, along with cognitive test battery scores.Results Compared with HC participants (n = 183; 103 56.3% male; mean SD age, 20.2 5.0 years), individuals at CHR (n = 460; 265 57.6% male; mean SD age, 19.2 4.4 years) showed reduced microstate duration (Cohen d, 0.28; 95% CI, 0.07 to 0.49) and increased occurrence (Cohen d, 0.12; 95% CI, 0.03 to 0.21) across classes, reflecting reduced microstate temporal stability. Moreover, individuals with CHR-C (n = 56) exhibited greater instability than those with CHR-R (n = 70) and HC participants but not compared to those with CHR-S (n = 115). Within the CHR group, lower stability was associated with earlier conversion to psychosis and with increased positive symptoms. While individuals at CHR demonstrated cognitive deficits relative to HC participants, including attention scores, lower microstate stability was associated with better attention scores in both groups.Conclusions And Relevance In this study, EEG microstate stability, irrespective of class, was reduced in individuals at CHR compared to HC participants and was especially diminished in future CHR converters. The association between lower stability and better attention suggests that instability may at least partly reflect a compensatory mechanism for attention deficits. EEG microstate instability shows promise as a prognostic biomarker of clinical outcome in CHR.

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Cite This Study

Liebrand et al. (2026) studied this question.

synapsesocial.com/papers/6a23ba6871a5da9775e76210https://doi.org/10.48620/98409
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Electroencephalography Microstate Instability and Clinical Outcomes in Individuals at Clinical High Risk of Psychosis2026
  2. 2EEG Microstate Alterations in Eyes-Open and Eyes-Closed Resting States Across the Alzheimer’s Disease Continuum2026
  3. 3EEG microstates, acute phase negative symptoms of schizophrenia and antipsychotic treatment response2025 · 3 citations
  4. 4EEG microstate analysis between patients with major depressive disorder, subclinical depression, and healthy controls2025
  5. 5EEG microstate analysis between patients with major depressive disorder, subclinical depression, and healthy controls2025 · 1 citations