Evidence map›Paper›PMID 42859297›Full record

ArticleBrain topography2026

EEG Microstates are Not Associated with Psychotic Symptoms, Neurocognitive Domains or Psychosocial Functioning in Adolescents and Young Adults with Clinical High Risk for Psychosis.

Matthias Liebrand, Carla Wedekind, Angelos Katsarakis, Sarah Diezig, Chantal Michel, Frauke Schultze-Lutter, Michael Kaess, Daniela Hubl, Thomas Koenig, Jochen Kindler

Abstract read
In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Matthias LiebrandUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.ORCID 0000-0003-1139-5151
Carla WedekindUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
Angelos KatsarakisUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
Sarah DiezigTranslational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
Chantal MichelUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.ORCID 0000-0003-1165-6681
Frauke Schultze-LutterUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.ORCID 0000-0003-1956-9574
Michael KaessUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.ORCID 0000-0003-0031-7764
Daniela HublTranslational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.ORCID 0000-0001-5608-6876
Thomas KoenigTranslational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.ORCID 0000-0002-1472-4638
Jochen KindlerUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland. jochen.kindler@unibe.ch.ORCID 0000-0002-9034-2770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

EEG microstates are brief and discrete topographic patterns of electrical brain activity. Microstates last for 60-120 milliseconds, are thought to represent transient, quasi-stable neural networks, and traditionally four distinct classes (A-D) are distinguished. One of the core concepts of present neuroscience is that neuroimaging is able to capture meaningful networks of brain activity, which can be translated into specific cognitive functions. Following this idea, each microstate might correspond to specific core brain functions. Importantly, these cognitive functions are impaired in mental disorders. Clinical high-risk (CHR) refers to a state associated with an increased risk of developing psychosis. Previous research has demonstrated consistent microstate alterations in CHR individuals (especially in class D), as well as in psychosis. However, the neurobiological and functional meaning of microstate alterations in CHR populations is still elusive. Since the CHR state is associated with reduced neurocognition (e.g., processing speed, verbal memory, executive functions) in combination with specific clinical symptoms and impairments in psychosocial functioning, relationships between resting-state microstates and these domains were examined in a large cross-sectional cohort of CHR individuals (n = 100). Contrary to our expectations, no significant correlations were found for these clinical measures. The finding suggests that while microstate parameters may differ between CHR individuals and controls, these alterations do not seem to directly reflect the neurobiology of clinical symptoms or neurocognitive and psychosocial functions. EEG microstate deviations as candidate trait biomarker therefore require further investigation and validation in longitudinal studies to establish their stability and predictive value.

Indexed as

BrainCognitionElectroencephalographyPsychosocial FunctioningPsychotic DisordersAdolescentCross-Sectional StudiesFemaleHumansMaleNeuropsychological TestsYoung AdultClinical high-riskClinical symptomsCorrelationEEGMicrostatesPsychosis

Identifiers

PMID42859297
PMCPMC13653868

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.