Back to Search
Start Over
EEG microstates are a candidate endophenotype for schizophrenia
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020), Nature Communications
- Publication Year :
- 2020
- Publisher :
- Nature Portfolio, 2020.
-
Abstract
- 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.<br />EEG microstate abnormalities have been reported in patients with schizophrenia. Here the authors demonstrate that patients and their siblings show similar microstate abnormalities compared to healthy controls.
- Subjects :
- Male
Psychosis
medicine.medical_specialty
Electroencephalography - EEG
Endophenotypes
Science
General Physics and Astronomy
Electroencephalography
Audiology
General Biochemistry, Genetics and Molecular Biology
Article
03 medical and health sciences
0302 clinical medicine
Ministate
mental disorders
medicine
Humans
In patient
lcsh:Science
Multidisciplinary
medicine.diagnostic_test
business.industry
General Chemistry
medicine.disease
030227 psychiatry
EEG microstates
medicine.anatomical_structure
Psychotic Disorders
Schizophrenia
Endophenotype
Scalp
Female
lcsh:Q
business
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....533e375969ed8a9135282f64bea80559