Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. EEG microstates are a candidate endophenotype for schizophrenia
 
research article

EEG microstates are a candidate endophenotype for schizophrenia

Ramos da Cruz, Janir Nuno  
•
Favrod, Ophélie  
•
Roinishvili, Maya
Show more
June 18, 2020
Nature Communications

Electroencephalogram microstates are recurrent scalp potential configurations that remain stable for around 90 ms. The dynamics of two of the four canonical classes of microstates, commonly labeled as C and D, have been suggested as a potential endophenotype for schizophrenia. For endophenotypes, unaffected relatives of patients must show abnormalities compared to controls. Here, we examined microstate dynamics in resting-state recordings of unaffected siblings of patients with schizophrenia, patients with schizophrenia, healthy controls, and patients with first episodes of psychosis (FEP). Patients with schizophrenia and their siblings showed increased presence of microstate class C and decreased presence of microstate class D compared to controls. No difference was found between FEP and chronic patients. Our findings suggest that the dynamics of microstate classes C and D are a candidate endophenotype for schizophrenia.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1038/s41467-020-16914-1
Author(s)
Ramos da Cruz, Janir Nuno  
Favrod, Ophélie  
Roinishvili, Maya
Chkonia, Eka
Brand, Andreas
Mohr, Christine
Figueiredo, Patrícia
Herzog, Michael
Date Issued

2020-06-18

Publisher

Nature Research

Published in
Nature Communications
Volume

11

Issue

3089

Start page

1

End page

11

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LPSY  
FunderGrant Number

FNS-NCCR

51NF40-158776

Available on Infoscience
June 19, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/169463
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés