Evidence map›Paper›PMID 37246142›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2023

Electroencephalography microstates imbalance across the spectrum of early psychosis, autism, and mood disorders.

Anton Iftimovici, Angela Marchi, Victor Férat, Estelle Pruvost-Robieux, Eléonore Guinard, Valentine Morin, Yannis Elandaloussi, Arnaud D'Halluin, Marie-Odile Krebs, Boris Chaumette and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06045897 (Determination of EEG Microstates Associated With Mental Disorders in At-Risk States), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT06045897 naunknown statusnot on this map

Determination of EEG Microstates Associated With Mental Disorders in At-Risk States (Détermination Des Microétats EEG associés Aux Troubles Psychiques Dans Les États à Risque - DEMETER)

TypeinterventionalSponsorCentre Hospitalier St AnneRan2023 to 2026Enrolled126ConditionsPsychotic Disorders, Autism Spectrum Disorder, Major Depressive Disorder, SchizophreniaArmsEEG 64 channels, Polysomnography 19 electrodes, Light hypnosis, Biological sampling, Virtual reality
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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

11 authors.

Anton IftimoviciUniversité Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, Institutde psychiatrie, CNRS GDR 3557, France.ORCID 0000-0003-4927-2798
Angela MarchiAPHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France.ORCID 0000-0002-2419-233X
Victor FératFunctional Brain Mapping Laboratory, University of Geneva, Geneva, Switzerland.ORCID 0000-0003-1952-7657
Estelle Pruvost-RobieuxUniversité Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, Institutde psychiatrie, CNRS GDR 3557, France.ORCID 0000-0002-6107-0964
Eléonore GuinardNeurophysiology and Epileptology department, GHU Paris Psychiatrie et Neurosciences, Paris, France.ORCID 0009-0005-4932-7471
Valentine MorinPôle PEPIT, GHU Paris Psychiatrie et Neurosciences, Paris, France.
Yannis ElandaloussiPôle PEPIT, GHU Paris Psychiatrie et Neurosciences, Paris, France.ORCID 0009-0005-0813-9204
Arnaud D'HalluinPôle PEPIT, GHU Paris Psychiatrie et Neurosciences, Paris, France.ORCID 0000-0003-4470-7297
Marie-Odile KrebsUniversité Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, Institutde psychiatrie, CNRS GDR 3557, France.ORCID 0000-0002-4715-9890
Boris ChaumetteUniversité Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, Institutde psychiatrie, CNRS GDR 3557, France.
Martine GavaretUniversité Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, Institutde psychiatrie, CNRS GDR 3557, France.ORCID 0000-0002-5790-2254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectroencephalography (EEG) microstates translate resting-state temporal dynamics of neuronal networks throughout the brain and could constitute possible markers of psychiatric disorders. We tested the hypothesis of an increased imbalance between a predominant self-referential mode (microstate C) and a decreased attentional mode (microstate D) in psychosis, mood, and autism spectrum disorders.

methodsWe retrospectively included 135 subjects from an early psychosis outpatient unit, with available eyes-closed resting-state 19 electrodes EEG. Individual-level then group-level modified

resultsMicrostate class D parameters were systematically decreased in disease groups compared with controls, with an effect size increasing along the psychosis spectrum, but also in autism. There was no difference in class C. C/D ratios of mean duration were increased only in SCZ compared with controls.

conclusionsThe decrease in microstate class D may be a marker of stage of psychosis, but it is not specific to it and may rather reflect a shared dimension along the schizophrenia-autism spectrum. C/D microstate imbalance may be more specific to schizophrenia.

Indexed as

Autistic DisorderPsychotic DisordersBrainElectroencephalographyHumansMood DisordersRetrospective Studiesautism spectrul disorderEEG microstatesElectroencephalographymood disorderspsychosistransdiagnostic approaches

Identifiers

PMID37246142
PMCPMC10305759

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.